COMPOSITIONS AND METHODS FOR REGULATING ENTEROENDOCRINE CELL DIFFERENTIATION AND USES THEREOF
20230257715 · 2023-08-17
Assignee
Inventors
Cpc classification
A61P1/04
HUMAN NECESSITIES
A61K35/38
HUMAN NECESSITIES
A61P1/00
HUMAN NECESSITIES
A61P1/14
HUMAN NECESSITIES
C12N2501/155
CHEMISTRY; METALLURGY
International classification
Abstract
The present invention features, in some embodiments, compositions comprising ex vivo or in vitro generated functional enteroendocrine (EE) cells, or enteroids, rectoids, or organoids comprising functional enteroendocrine cells, and methods of obtaining and using such cells for treating metabolic and gastrointestinal diseases, disorders, or conditions.
Claims
1. An in vitro generated three-dimensional gastrointestinal organoid derived from an induced human gastrointestinal stem cell (GISC), the organoid comprising functional human enteroendocrine cells.
2. The organoid of claim 1, wherein the enteroendocrine cells secrete hormones.
3. The organoid of claim 2, wherein the hormones are selected from the group consisting of: cholecystokinin (CCK), gastrin, ghrelin, glucagon-like peptide-1 (GLP-1), GLP-2, glucose-dependent insulinotropic polypeptide (GIP), histamine, leptin, motilin, neurotensin, oxyntomodulin, peptide YY (PYY), secretin, serotonin (5HT), and somatostatin (SST).
4. The organoid of claim 1, wherein the organoid comprises at least one of: enteroendocrine lineage markers, or any combinations thereof.
5. A method of enteroendocrine cell differentiation, comprising culturing gastrointestinal stem cells in a media and adding at least one modulating agent, wherein said modulating agent may be selected from a GATA4 activator, a cannabinoid type 1 receptor (CB1) inverse agonist, a direct or indirect PDX1 activator, a JNK inhibitor, a FOXO1 inhibitor, or combinations thereof, said modulating agent is in an amount effective to induce differentiation of the gastrointestinal stem cells, thereby resulting in enteroendocrine cell differentiation.
6. The method of claim 5, wherein the at least one modulating agent comprises a GATA4 activator and either a PDX1 activator or a JNK inhibitor.
7. The method of claim 5, wherein the at least one modulating agent comprises a FOXO1 inhibitor.
8. The method of claim 7, wherein the FOXO1 inhibitor is administered alone for a predetermined number days ranging 1-21 days.
9. The method of claim 8, further comprising administering for any number of days ranging 1-21 days a GATA4 activator and either a PDX1 activator or a JNK inhibitor, after FOXO1 is administered for the predetermined number of days.
10. The method of claim 8, further comprising administering for any number of days ranging 1-21 days a combination of a FOXO1 inhibitor, a GATA4 activator, and either a PDX1 activator or a JNK inhibitor, after FOXO1 is administered alone for the predetermined number of days.
11. The method of claim 5, wherein the media is a growth media comprising conditioned media containing Wnt3a, noggin, and R-spondin 3; mammalian cell culture media with high concentrations of glucose, amino acids, and vitamins with additional nutrients; supplements; buffering agent; antibiotic/antimicrobial; small molecule modulating agent; antioxidant; proliferating and/or differentiating agent; and hormone.
12. The method of claim 11, wherein said culturing occurs for greater than or equal to 1 day.
13. The method of claim 5, wherein the media is a differentiation media comprising conditioned media containing Wnt3a, noggin, and R-spondin 3; mammalian cell culture media with high concentrations of glucose, amino acids, and vitamins with additional nutrients; supplements; buffering agent; antibiotic/antimicrobial; small molecule modulating agent; antioxidant; proliferating and/or differentiating agent; hormone; growth factor.
14. The method of claim 13, wherein said culturing occurs for greater than or equal to 1 day.
15. The method of claim 5, wherein said culturing comprises: a first culturing step in a growth media for greater than or equal to 1 day, replacing the growth media with a differentiation media, and a second culturing step in a differentiation media for greater than or equal to 1 day.
16. The method of claim 5, wherein the at least one modulating agent is in a pharmaceutical composition, and at least one pharmaceutically acceptable carrier.
17. A method of treating a subject suffering from a disease having enteroendocrine cell dysfunction, comprising: administering to the subject in need thereof, a pharmaceutical composition comprising functional enteroendocrine cells in an effective amount to treat the subject and at least one pharmaceutically acceptable carrier.
18. The method of claim 17, wherein the functional enteroendocrine cells are derived from a gastrointestinal stem cell.
19. The method of claim 17, wherein the functional enteroendocrine cells are differentiated by the method of claim 5.
20. The method of claim 17, wherein the disease is a metabolic and/or gastrointestinal disease.
21. The method of claim 20, wherein the disease is selected from the group consisting of: obesity, type II diabetes mellitus, irritable bowel syndrome (IBS), inflammatory bowel disease (IBD), Crohn's disease, and ulcerative colitis.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
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[0078] Bars show mean±SEM, ** p<0.01, ***p<0.001, ****p<0.0001. Each experiment repeated with at least three different enteroid lines. Specific conditions were excluded from statistical analysis if the data from one or more samples were labeled as not detectable.
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[0082] Bars show mean SEM, *p<0.05, **p<0.01, ***p<0.001, ****p<0.0001. Each experiment repeated with at least three different enteroid lines. Specific conditions were excluded from statistical analysis if the data from one or more samples were labeled as not detectable.
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[0090] Bars show mean±SEM, *p<0.05, **p<0.01, ****p<0.0001. Each experiment repeated with at least three different enteroid lines. Specific conditions were excluded from statistical analysis if the data from one or more samples were labeled as not detectable.
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[0094] Bars show mean±SEM, *p<0.05, ****p<0.0001. Each experiment repeated with at least three different enteroid lines.
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[0131] Bars and line graph show mean±SEM, *p<0.05, **p<0.01, ***p<0.001, ****p<0.0001. Each experiment repeated with at least three different enteroid lines.
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[0137] Bars show mean±SEM, *p<0.05, **p<0.01, ***p<0.001, ****p<0.0001. Each experiment repeated with at least three different enteroid lines.
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[0145] Bars and line graph show mean±SEM, *p<0.05, ***p<0.001, ****p<0.0001. Each experiment repeated with at least three different enteroid lines.
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[0160] Bars show mean±SEM, *p<0.05, **p<0.01, ***p<0.001, ****p<0.0001. Each experiment repeated with at least three different rectoid lines. Specific conditions were excluded from statistical analysis if the data from one or more samples were labeled as not detectable.
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[0166] Bars show mean±SEM, *p<0.05, **p<0.01, ***p<0.001, ****p<0.0001. To control for enteroid number, protein concentrations were divided by DNA concentration. Each experiment repeated with at least three different enteroid lines
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DETAILED DESCRIPTION OF THE INVENTION
[0178] Discovery of new and improved compositions and methods of producing and using enteroendocrine (EE) cells may enable drug development and ultimately lead to advances in clinical care. Enteroendocrine (EE) cells are the most abundant hormone-producing cells in humans and are critical regulators of energy homeostasis and gastrointestinal function. Non-limiting examples of EE hormones include: ghrelin, gastrin, histamine, leptin (from stomach), secretin, GIP, CCK, SST, serotonin, motilin, neurotensin, GLP-1, GLP-2, PYY, and oxyntomodulin. Some embodiments of the disclosure are directed to an in vitro generated three-dimensional gastrointestinal enteroid/organoid derived from an induced human gastrointestinal stem cell (GISC), the enteroid/organoid comprising functional human enteroendocrine cells, where the enteroendocrine cells secrete hormones, such as but not limited to, ghrelin, gastrin, histamine, leptin (from stomach), secretin, GIP, CCK, SST, serotonin, motilin, neurotensin, GLP-1, GLP-2, PYY, and oxyntomodulin. Another embodiment may be directed to such organoids comprising EE cells that secrete hormones selected from: GIP, CCK, SST, serotonin, GLP-1, PYY, and combinations thereof. Enteroendocrine cells, and the hormones they secrete, play critical roles in normal human physiology, including overall gastrointestinal function and appetite regulation, as well as in the pathophysiology of diseases affecting as many as 70 million Americans, such as Type II diabetes, irritable bowel syndrome, and inflammatory bowel disease. Embodiments of the invention feature gastrointestinal stem cell (GISC) derived organoids or enteroids comprising enteroendocrine cells useful as an in vitro or ex vivo model to study genetic, molecular, and cellular abnormalities associated with, for example, human diseases. This organoid recapitulates in vitro or ex vivo the development, physiology, and other characteristics of the gastrointestinal (GI) tract (e.g., mammal, human, rodent). The invention, in some embodiments, further provides methods of using this gastrointestinal organoid or enteroid to study disease and to identify therapeutic agents for the treatment of metabolic and/or gastrointestinal diseases and symptoms thereof.
[0179] EE cell dysfunction is found in many metabolic and gastrointestinal diseases and conditions, including but not limited to obesity, diabetes, post-infectious irritable bowel syndrome, infectious enteritis, and inflammatory bowel disease. Featured herein are methods and systems for the generation and utilization of stem cell-derived human enteroendocrine cell organoids, which provide a promising strategy for the therapeutic treatment of diseases and pathologies, such as metabolic and gastrointestinal diseases, such as but not limited to, obesity, type II diabetes mellitus, irritable bowel syndrome (IBS), inflammatory bowel disease (IBD), Crohn's disease, and ulcerative colitis. Advantageously, the methods and systems as described here can generate biological products, e.g., cells, human enteroendocrine cell organoids derived from human gastrointestinal stem cells (GISCs) and enteroendocrine (EE) cells thereof, as therapeutics that can be used to treat patients having an EE cell dysfunction.
[0180] The invention is based, at least in part on methods useful for engineering a human gastrointestinal organoid that after −2 weeks of culture in vitro exhibits a level of development comparable to that of a functioning human GI system, since the epithelial cells, such as enteroendocrine cells, are continuously renewed, replenished, and/or repaired. These organoids express markers characteristic of a large variety of enteroendocrine cells. This organoid is useful as a platform to enable screening of agents for efficacy, safety, and toxicity prior to in vivo use in humans.
[0181] In particular embodiments, organoids are derived from undifferentiated gastrointestinal stem cells that result in daughter or progenitor cells, which subsequently differentiate into enteroendocrine cells required for normal GI function. These organoids may be formed on plates, e.g., 96-well plates. The organoid model is under development to reach an FDA metric for clinical diagnostic use and drug development.
Targets and Signaling Pathways in Enteroendocrine Cell Formation and Function
[0182] The GATA Binding Protein 4 (GATA4) transcription factor was found to be essential for overall gut formation and plays an important role in specifying enteroendocrine cell identity, including glucose-dependent insulinotropic polypeptide (GIP)-expressing cells (Jepeal L I, Boylan M O, Michael Wolfe M. Mol Cell Endocrinol 2008; 287:20-9; Walker E M, Thompson C A, Battle M A. Dev Biol 2014; 392:283-94). c-Jun N-terminal kinase (JNK) has been shown to play a role in enteroendocrine cell differentiation. Inhibition of JNK signaling, which has been implicated in regulating ISCs (Biteau B, Hochmuth C E, Jasper H. Cell Stem Cell 2008; 3:442-55), also regulates endocrine cells through its actions on pancreatic and duodenal homeobox 1 (PDX1) (Kaneto H, Matsuoka T A, Nakatani Y, et al. Curr Diabetes Rev 2005; 1:65-72; Tang C, Yeung L S N, Koulajian K, et al. Endocrinology 2018; 159:3643-3654) expression, which is increased. JNK may exert its effect on PDX1 through a post-transcriptional mechanism. For example, in murine islet cells, JNK has been associated with increased nucleocytoplasmic translocation of PDX1, which indirectly affects the transcriptional function of PDX1 without affecting its mRNA level (Kaneto H, Matsuoka T A, Nakatani Y, et al. Curr Diabetes Rev 2005; 1:65-72). It is also possible that JNK inhibition does not act on PDX1 (mRNA or protein) at all in human gastrointestinal cells; its role in human intestinal stem cell differentiation has not been well-studied. However, JNK inhibition does appear to have an effect on mRNA expression levels of specific EE markers. FOXO1 has been implicated in beta cell differentiation, affecting the expression of NEUROG3 and NEUROD1, as well as multiple other transcription factors (Bouchi R, Foo K S, Hua H, et al. Nat Commun 2014; 5:4242; Glauser D A, Schlegel W. J Endocrinol 2007; 193:195-207; Talchai C, Xuan S, Kitamura T, et al. Nat Genet 2012; 44:406-12, S1). Several studies have shown that FOXO1 inhibition can induce differentiation of insulin-producing cells from gastrointestinal cells, both in vivo and in enteroid cultures (Bouchi R, Foo K S, Hua H, et al. Nat Commun 2014; 5:4242; Talchai C, Xuan S, Kitamura T, et al. Nat Genet 2012; 44:406-12, S1); however, these studies did not closely examine EE cell populations. Inhibition of forkhead box protein 01 (FOXO1), a transcription factor critical for stem cell function and energy homeostasis (Kousteni S. Bone 2012; 50:437-43; Tothova Z, Gilliland D G. Cell Stem Cell 2007; 1:140-52), has been associated with upregulation of multiple endocrine-associated transcription factors and hormones, including neurogenin 3 (NEUROG3) and GIP (Roy S A, Langlois M J, Carrier J C, et al. World J Gastroenterol 2012; 18:1579-89; Garcia-Martinez J M, Chocarro-Calvo A, De la Vieja A, et al. Biochim Biophys Acta 2014; 1839:1141-50; Bouchi R, Foo K S, Hua H, et al. Nat Commun 2014; 5:4242; Arriola D J, Mayo S L, Skarra D V, et al. J Biol Chem 2012; 287:33424-35). Finally, bone morphogenic protein 4 (BMP4) has been shown to induce the expression of various EE hormones in human intestinal enteroids (Beumer J, Artegiani B, Post Y, et al. Nat Cell Biol 2018; 20:909-916).
[0183] GATA4 activation/JNK inhibition and FOXO1 inhibition have been found to increase expression of the same genes involved in EE differentiation. Further, GATA4, JNK, and FOXO1 have not been identified in large scale screens or single cell sequencing studies examining the EE lineage (Fujii M, Matano M, Toshimitsu K, et al. Cell Stem Cell 2018; 23:787-793 e6; Beumer J, Artegiani B, Post Y, et al. Nat Cell Biol 2018; 20:909-916), including two single cell RNA sequencing studies analyzing human and munne EE lineage differentiation using neurogenin 3 reporters (Gehart H, van Es J H, Hamer K, et al. Cell 2019; 176:1158-1173 e16; Beumer J, Puschhof J, Bauza-Martinez J, et al. Cell 2020). This suggests that GATA4, JNK, and FOXO1 may work upstream of neurogenin 3.
[0184] Exposure of enteroids to combinations of GATA4 activation, JNK inhibition, and FOXO1 inhibition lead to the expression of specific hormones, with GATA4 activation/JNK inhibition inducing glucose-dependent insulinotropic polypeptide (GIP) expression and FOXO1 inhibition inducing higher levels of serotonin (5HT) expression. Exposure to FOXO1 inhibitor, AS1842856 (AS).fwdarw.putative GATA4 activator or CB1 inverse agonist, Rimonabant (Rim) and JNK inhibitor, SP600125 (SP) (RSP) yielded similar levels of GIP mRNA and total GIP+ enteroids, but increased levels of GIP secretion, when compared to RSP alone; however, AS.fwdarw.Rim, AS, and SP (RASP) seemingly inhibited GIP protein production and secretion. FOXO1 inhibition alone appears to be the most potent inducer of 5HT secretion. Exposure to RSP, with or without AS, induced less 5HT secretion when compared to FOXO1 inhibition alone. Taken together, the combinatorial data described here suggest that FOXO1 inhibition is a potent inducer of 5HT secretion while inhibiting GIP secretion, and GATA4 activation/JNK inhibition is a potent inducer of GIP secretion while leading to reduced 5HT secretion when compared to AS-treated enteroids. The data of the disclosure also suggest that modulation of GATA4, JNK, and FOXO1 have multiple effects on EE function, controlling mRNA and protein production, as well as secretion, of multiple hormones, for example, cholecystokinin (CCK), glucagon-like peptide-1 (GLP-1), glucose-dependent insulinotropic polypeptide (GIP), peptide YY (PYY), serotonin (5HT), and somatostatin (SST). Other embodiments may be directed to EE secreted hormones, such as but not limited to, cholecystokinin (CCK), gastrin, ghrelin, glucagon-like peptide-1 (GLP-1), GLP-2, glucose-dependent insulinotropic polypeptide (GIP), histamine, leptin, motilin, neurotensin, oxyntomodulin, peptide YY (PYY), secretin, serotonin (5HT), and somatostatin (SST).
[0185] Some embodiments of the disclosure, as described herein, provide methods for inducing differentiation of human GISCs into enteroendocrine cells using only small molecules, such as but not limited to, putative activators of GATA Binding Protein 4 (GATA4) or CB1 inverse agonist (e.g., rimonabant (Rim)) and inhibitors of c-Jun N-terminal kinase (JNK) or pancreatic and duodenal homeobox 1 (PDX1) (e.g., SP600125 (SP)) and of forkhead box protein 01 (FOXO1) (e.g., AS1842856 (AS), which are key transcriptional regulators known to mediate endodermal development and hormone production. Briefly, human GISCs may be grown ex vivo in three-dimensional (3D) cultures or organoids. This enables the maintenance and differentiation of GISCs in a controlled environment to better study differentiated cells and their role in gastrointestinal (GI) physiology and disease. EE cells, and their hormones they produce, are becoming increasingly critical in GI function and pathophysiology, such that there is a desire to improve present methods of growing enteroendocrine cells ex vivo and in vitro, to obtain a better understanding of their differentiation and/or function, and their potential as therapeutics.
[0186] Enteroendocrine cells, as a class, are defined by expression of the neuroendocrine secretory protein Chromogranin A (CHGA), the specific hormone each produces, and their location along the GI tract (Furness J B, Rivera L R, Cho H J, et al. Nat Rev Gastroenterol Hepatol 2013; 10:729-40; Sinagoga K L, McCauley H A, Munera J O, et al. Development 2018; 145; Gehart H, van Es J H, Hamer K, et al. Cell 2019; 176:1158-1173 e16; Beumer J, Artegiani B, Post Y, et al. Nat Cell Biol 2018; 20:909-916). Further, multiple transcription factors are critical for EE cell differentiation and function, including, but not limited to neurogenin 3 (NEUROG3), neuronal differentiation 1 (NEUROD1), and pancreatic and duodenal homeobox 1 (PDX1) (Posovszky C. Endocr Dev 2017; 32:20-37; Furness J B, Rivera L R, Cho H J, et al. Nat Rev Gastroenterol Hepatol 2013; 10:729-40; Basak O, Beumer J, Wiebrands K, et al. Cell Stem Cell 2017; 20:177-190 e4; Chen C, Fang R, Davis C, et al. Am JPhysiol Gastrointest Liver Physiol 2009; 297:G1126-37).
Screening Assays
[0187] Gastrointestinal organoids may be used for toxicity and efficacy screening of agents that treat or prevent the development of a metabolic and/or gastrointestinal disease having an enteroendocrine cell dysfunction. In one embodiment, an organoid generated according to the methods described herein is contacted with a candidate agent. The viability of the organoid (or various enteroendocrine cells within the organoid) is compared to the viability of an untreated control organoid to characterize the toxicity of the candidate compound. Assays for measuring cell viability are known in the art, and are described, for example, by Crouch et al. (J. Immunol. Meth. 160, 81-8); Kangas et al. (Med. Biol. 62, 338-43, 1984); Lundin et al., (Meth. Enzymol. 133, 27-42, 1986); Petty et al. (Comparison of J. Biolum. Chemilum. 10, 29-34, 0.1995); and Cree et al. (AntiCancer Drugs 6: 398-404, 1995). Cell viability can be assayed using a variety of methods, including MTT (3-(4,5-dimethylthiazolyl)-2,5-diphenyltetrazolium bromide) (Barltrop, Bioorg. & Med. Chem. Lett. 1: 611, 1991; Cory et al., Cancer Comm. 3, 207-12, 1991; Paull J., Heterocyclic Chem. 25, 911, 1988). Assays for cell viability are also available commercially. These assays include but are not limited to CELLTITER-GLO® Luminescent Cell Viability Assay (Promega), which uses luciferase technology to detect ATP and quantify the health or number of cells in culture, and the CellTiter-Glo® Luminescent Cell Viability Assay, which is a lactate dehyrodgenase (LDH) cytotoxicity assay (Promega).
[0188] In another embodiment, the organoid comprises a genetic mutation that affects differentiation, development, activity, or function of enteroendocrine cells. Polypeptide or polynucleotide expression of cells within the organoid can be compared by procedures well known in the art, such as Western blotting, flow cytometry, immunocytochemistry, in situ hybridization, fluorescence in situ hybridization (FISH), ELISA, microarray analysis, RT-PCR, Northern blotting, or colorimetric assays, such as the Bradford Assay and Lowry Assay.
[0189] A further embodiment provides for a method comparing gene expression levels of endocrine cell markers between differentiated organoids or enteroids from the duodenum and freshly isolated whole mucosa from human duodenal biopsies, which serve as a proxy for native in situ gene expression levels.
[0190] In a working example, one or more candidate agents may be added at varying concentrations to the culture medium containing an organoid. An agent that promotes the expression of a polypeptide of interest expressed in the cell is considered useful in the invention; such an agent may be used, for example, as a therapeutic to prevent, delay, ameliorate, stabilize, or treat an injury or disease characterized by a defect in enteroendocrine cell differentiation, development, or function. Once identified, agents of the invention may be used to treat or prevent a metabolic and/or gastrointestinal disease that has, for example, an enteroendocrine cell dysfunction.
[0191] In another embodiment, the activity or function of a cell of the organoid is compared in the presence and the absence of a candidate compound. Compounds that desirably alter the activity or function of the cell are selected as useful in the methods of the invention.
Test Compounds and Extracts
[0192] In general, agents useful in the invention are identified from large libraries of natural product or synthetic (or semi-synthetic) extracts or chemical libraries or from polypeptide or nucleic acid libraries, including primer sets, according to methods known in the art. Those skilled in the field of drug discovery and development will understand that the precise source of test extracts or compounds is not critical to any of the screening procedures of the invention described here. Agents used in screens may include those known as therapeutics for the treatment of metabolic and/or gastrointestinal conditions. Alternatively, virtually any number of unknown chemical extracts or compounds can be screened using the methods described herein. Examples of such extracts or compounds include, but are not limited to, plant-, fungal-, prokaryotic- or animal-based extracts, fermentation broths, and synthetic compounds, as well as the modification of existing polypeptides.
[0193] Libraries of natural polypeptides in the form of bacterial, fungal, plant, and animal extracts are commercially available from a number of sources, including Biotics (Sussex, UK), Xenova (Slough, UK), Harbor Branch Oceangraphics Institute (Ft. Pierce, Fla.), and PharmaMar, U.S.A. (Cambridge, Mass.). Such polypeptides can be modified to include a protein transduction domain using methods known in the art and described herein. In addition, natural and synthetically produced libraries are produced, if desired, according to methods known in the art, e.g., by standard extraction and fractionation methods. Examples of methods for the synthesis of molecular libraries can be found in the art, for example in: DeWitt et al., Proc. Natl. Acad. Sci. U.S.A. 90:6909, 1993; Erb et al., Proc. Natl. Acad. Sci. USA 91:11422, 1994; Zuckermann et al., J. Med. Chem. 37:2678, 1994; Cho et al., Science 261:1303, 1993; Carrell et al., Angew. Chem. Int. Ed. Engl. 33:2059, 1994; Carell et al., Angew. Chem. Int. Ed. Engl. 33:2061, 1994; and Gallop et al., J. Med. Chem. 37:1233, 1994. Furthermore, if desired, any library or compound is readily modified using standard chemical, physical, or biochemical methods.
[0194] Numerous methods are also available for generating random or directed synthesis (e.g., semi-synthesis or total synthesis) of any number of polypeptides, chemical compounds, including, but not limited to, saccharide-, lipid-, peptide-, and nucleic acid-based compounds. Synthetic compound libraries are commercially available from Brandon Associates (Merrimack, N. H.) and Aldrich Chemical (Milwaukee, Wis.). Alternatively, chemical compounds to be used as candidate compounds can be synthesized from readily available starting materials using standard synthetic techniques and methodologies known to those of ordinary skill in the art. Synthetic chemistry transformations and protecting group methodologies (protection and deprotection) useful in synthesizing the compounds identified by the methods described herein are known in the art and include, for example, those such as described in R. Larock, Comprehensive Organic Transformations, VCH Publishers (1989); T. W. Greene and P. G. M. Wuts, Protective Groups in Organic Synthesis, 2nd ed., John Wiley and Sons (1991); L. Fieser and M. Fieser, Fieser and Fieser's Reagents for Organic Synthesis, John Wiley and Sons (1994); and L. Paquette, ed., Encyclopedia of Reagents for Organic Synthesis, John Wiley and Sons (1995), and subsequent editions thereof.
[0195] Libraries of compounds may be presented in solution (e.g., Houghten, Biotechniques 13:412-421, 1992), or on beads (Lam, Nature 354:82-84, 1991), chips (Fodor, Nature 364:555-556, 1993), bacteria (Ladner, U.S. Pat. No. 5,223,409), spores (Ladner U.S. Pat. No. 5,223,409), plasmids (Cull et al., Proc Natl Acad Sci USA 89:1865-1869, 1992) or on phage (Scott and Smith, Science 249:386-390, 1990; Devlin, Science 249:404-406, 1990; Cwirla et al. Proc. Natl. Acad. Sci. 87:6378-6382, 1990; Felici, J. Mol. Biol. 222:301-310, 1991; Ladner supra.).
[0196] In addition, those skilled in the art of drug discovery and development readily understand that methods for dereplication (e.g., taxonomic dereplication, biological dereplication, and chemical dereplication, or any combination thereof) or the elimination of replicates or repeats of materials already known for their activity should be employed whenever possible.
[0197] When a crude extract is found to have the desired activity further fractionation of the positive lead extract is necessary to isolate molecular constituents responsible for the observed effect. Thus, the goal of the extraction, fractionation, and purification process is the careful characterization and identification of a chemical entity within the crude extract that treats or prevents a neurological defect. Methods of fractionation and purification of such heterogenous extracts are known in the art. If desired, compounds shown to be useful as therapeutics are chemically modified according to methods known in the art.
Differentiation and Culture System
[0198] Differentiation of human enteroendocrine cells, an essential epithelial cell type within the gastrointestinal system, may occur by driving intestinal stem cells to differentiate into the enteroendocrine lineage. One embodiment of the disclosure provides for a culture system for generating enteroendocrine cells through, for example, GATA4 activation/JNK inhibition and inhibition of FOXO1, factors previously not known to play a role during postnatal differentiation of these cells. Using organoid and/or enteroid biology and relative gene expression for endocrine cell markers, embodiments of the disclosure provide differentiation protocols using only agents such as small chemical molecules that target factors which affect postnatal differentiation by inducing gastrointestinal stem cells to undergo enteroendocrine lineage differentiation or development in vitro.
[0199] In some embodiments, the differentiation methods or systems disclosed here lead to the induction of large numbers of enteroendocrine cells, such as up to or equal to 10% of all cells (e.g., 1%, 2%, 3%, 4%, 5%, 6%, 7%, 8%, 9%), in contrast to less than 1% typically found in the native intestine. The large number of enteroendocrine cells may be found within the majority of all enteroids, such as up to or equal to 90% (e.g., 20%, 25%, 30%, 35%, 40%, 45%, 50%, 55%, 60%, 65%, 70%, 75%, 80%, 85%) or less than or equal to 100% (e.g., 95%, 90%, 85%, 80%, 75%, 70%, 65%, 60%, 55%, 50%).
[0200] Other embodiments of the differentiation and culture system provide for the maintenance of Wnt3a ligand in the culture system in order to induce enteroendocrine differentiation. In fact, the presence of Wnt3a was found to improve overall enteroendocrine differentiation. Accordingly, the differentiation and culture system of the disclosure includes Wnt3a for long-term maintenance of more than or equal to 1 day (e.g., 2 days, 3 days, 4 days, 5, days, 6, days, 7 days, 8 days, 9 days, 10 days, 11 days, 12 days, 13 days, 14 days, 15 days, 16 days, 17 days, 18 days, 19 days, 20 days, 21 days) of differentiating enteroids.
Methods
[0201] In one embodiment, methods of human enteroendocrine (EE) cell differentiation comprising combining human gastrointestinal stem cells in a differentiation media of the disclosure and at least one modulating agent. For example, the modulating agent may be selected from a putative GATA4 activator or CB1 inverse agonist (e.g., Rim), a direct or indirect PDX1 activator (e.g., SP600125), a JNK inhibitor (e.g., SP600125), a FOXO1 inhibitor (e.g., AS1842856), or combinations thereof. The modulating agent may be in an amount effective to induce differentiation of the gastrointestinal stem cells, resulting in enteroendocrine cell differentiation. Some embodiments of the method of the disclosure may involve use of a modulating agent comprising a GATA4 activator and either a PDX1 activator or a JNK inhibitor to a differentiation media of the disclosure comprising the human gastrointestinal stem cells, resulting in increases in differentiated EE cells (and EE cell markers) and induction of multiple hormones, including but not limited to, serotonin, somatostatin, and GIP. Another embodiment of the disclosed method provides a modulating agent, such as a FOXO1 inhibitor (e.g., AS1842856), in an amount effective to result in increases in differentiated EE cells (and EE cell markers) and induction of multiple hormones, such as, for example, serotonin and somatostatin.
[0202] Another embodiment may be directed to methods of inducing hormones or different levels of hormonal expression by combining human gastrointestinal stem cells in differentiation media and a modulating agent selected from a putative GATA4 activator or CB1 inverse agonist (e.g., Rim), a PDX1 activator (e.g., SP600125), a JNK inhibitor (e.g., SP600125), a FOXO1 inhibitor (e.g., AS1842856), adenylate cyclase activator (e.g., forskolin (Fsk)), or combinations thereof, such as a putative GATA4 activator or CB1 inverse agonist (e.g., Rim), a PDX1 activator (e.g., SP600125) or a JNK inhibitor (e.g., SP600125), and a FOXO1 inhibitor (e.g., AS1842856). In some embodiments, the FOXO1 inhibitor may be added for an initial day(s) that are greater than or equal to 1 day (e.g., 2, 3, 4, 5, 6, 7) or ranging from 1-7 days (e.g., 1-6 days, 1-5 days, 1-4 days, 1-3 days, 1-2 days) of culture and a combination of only a GATA4 activator and either a PDX1 activator or a JNK inhibitor may be added for days greater than or equal to 1 day (e.g., 2, 3, 4, 5, 6, 7) or ranging from 1-7 additional days (e.g., 1-6, 1-5, 1-4 days, 1-3 days, 1-2 days) following the initial days, where after the initial days of culturing, no additional FOXO1 inhibitor is added. For example, a FOXO1 inhibitor may be added to human GISCs in a differentiation media of the disclosure for the initial 5 days and a combination of only a GATA4 activator and either a PDX1 activator or a JNK inhibitor may be added for another 5 days following the initial 5 days, where on Days 1-5 a FOXO1 inhibitor may be added and on Days 6-10 a combination of only a GATA4 activator and either a PDX1 activator or a JNK inhibitor may be added, without any FOXO1 inhibitor.
[0203] Yet a further embodiment may provide for a method of the disclosure, where only a FOXO1 inhibitor may be added for a predetermined initial set of days that is greater than or equal to 1 day (e.g., 2, 3, 4, 5, 6, 7) or ranging from 1-7 days (e.g., 1-6 days, 1-5 days, 1-4 days, 1-3 days, 1-2 days) of culture and a combination of a FOXO1 inhibitor, a GATA4 activator and either a PDX1 activator or a JNK inhibitor may be added for days greater than or equal to 1 day (e.g., 2, 3, 4, 5, 6, 7) or ranging from 1-7 additional days (e.g., 1-6, 1-5, 1-4 days, 1-3 days, 1-2 days) following the initial days, where after the initial days of culturing, FOXO1 inhibitor is continuously added. For example, a FOXO1 inhibitor may be added to human GISCs in a differentiation media of the disclosure for the initial 5 days and a combination of a FOXO1 inhibitor, a GATA4 activator, and either a PDX1 activator or a JNK inhibitor may be added for another 5 days following the initial 5 days, where on Days 1-5 a FOXO1 inhibitor may be added and on Days 6-10 a combination of a FOXO1 inhibitor, a GATA4 activator, and either a PDX1 activator or a JNK inhibitor may be added. In doing so, GIP expression is abolished, but serotonin secretion is enhanced.
[0204] Another embodiment provides for any of the methods of the disclosure that match or exceed EE cell numbers as compared to those found in normal GI tissue, induce secretion of different hormones, such as but not limited to, cholecystokinin (CCK), glucagon-like peptide-1 (GLP-1), glucose-dependent insulinotropic polypeptide (GIP), peptide YY (PYY), serotonin (5HT), and somatostatin (SST), and maintain healthy organoids for at least 10 days (e.g., 11 days, 12 days, 13 days, 14 days, 15 days, 16, days, 17 days, 18 days, 19 days, 20 days, 21 days; 11-21 days, 12-20 days, 13-19 days, 14-18 days, 15-17 days). In some embodiments, the modulating agent of the disclosure may be a small molecule or drug, which targets a transcription factor involved in GI development and/or in hormone production. Methods of the disclosure, in some embodiments, enhance the number of EE cells ex vivo and increase their viability.
[0205] As described in more detail in the Examples section (e.g., TABLES 1A and 1B), embodiments providing methods for inducing differentiation of human enteroids or organoids into enteroendocrine cells or enteroids or organoids comprising such cells, may comprise the steps of culturing the human enteroids or organoids in growth media (GM) (e.g., conditioned media containing Wnt3a, noggin, and R-spondin 3 (e.g., L-WRN conditioned media (50% v/v)); mammalian cell culture media with high concentrations of glucose, amino acids, and vitamins with additional nutrients (e.g., DMEM/F12 (45% v/v)); supplements (e.g., GlutaMax™ (1% v/v); N-2 Supplement (1% v/v); B-27 Supplement (1% v/v)); buffering agent (e.g., HEPES (10 mM)); antibiotic/antimicrobial (e.g., Primocin (100 μg/mL); Normocin (100 μg/mL)); small molecule modulating agent (e.g., TGF-βR inhibitor, A83-01 (500 nM); p38 MAPK inhibitor, SB202190 (10 μM)); antioxidant (e.g., N-Acetyl-cysteine (500 μM)); proliferating and/or differentiating agent (e.g., recombinant EGF (50 ng/mL); Nicotinamide (10 mM)); hormone (e.g., Human [Leu15] Gastrin I (10 nM)), where nicotinamide and SB202190 p38 MAPK inhibitor are specific only to the growth media, while the other components may also be found in the differentiation media of the disclosure. The differentiation media (DM) may comprise, for example, conditioned media containing Wnt3a, noggin, and R-spondin 3 (e.g., L-WRN conditioned media (50% v/v)); mammalian cell culture media with high concentrations of glucose, amino acids, and vitamins with additional nutrients (e.g., DMEM/F12 (45% v/v)); supplements (e.g., GlutaMax™ (1% v/v); N-2 Supplement (1% v/v); B-27 Supplement (1% v/v)); buffering agent (e.g., HEPES (10 mM)); antibiotic/antimicrobial (e.g., Primocin (100 μg/mL); Normocin (100 μg/mL)); small molecule modulating agent (e.g., TGF-βR inhibitor, A83-01 (500 nM); γ-secretase or Notch signaling inhibitor, DAPT (20 μM); HDAC6 inhibitor, Tubastatin-A (10 μM); MAP4K4 inhibitor, PF06260933 (6 μM); lysine-specific demethylase 1 inhibitor, Tranylcypromine (1.5 μM); a putative GATA4 activator or CB1 inverse agonist, Rimonabant (10 μM); JNK inhibitor or indirect PDX1 activator, SP600125 (10 μM); FOXO1 inhibitor, AS1842856 (100 nM)) antioxidant (e.g., N-Acetyl-cysteine (500 μM)); proliferating and/or differentiating agent (e.g., recombinant EGF (50 ng/mL); hormone (e.g., Human [Leu15] Gastrin I (10 nM); growth factor (e.g., Betacellulin (20 ng/mL)).
[0206] These methods of the disclosure may also be used in the treatment of a subject suffering from a metabolic and/or gastrointestinal disease or condition (e.g., irritable bowel syndrome, inflammatory bowel disease, Crohn's disease, ulcerative colitis, diabetes, including for example, Type II diabetes mellitus) or symptoms thereof, where the subject may suffer from an enteroendocrine cell dysfunction. Hormones in the GI system play a crucial role in the regulation of food intake, energy expenditure, glucose homeostasis, lipid metabolism, and a wide range of metabolic functions in response to the ingestion of food. These hormones may be altered in metabolic diseases, such as but not limited to, obesity and type 2 diabetes, and are thus proposed to be possible targets for the prevention or treatment of these diseases. Preparing functional enteroendocrine cells that express and secrete these hormones, such as but not limited to, cholecystokinin (CCK), glucagon-like peptide-1 (GLP-1), glucose-dependent insulinotropic polypeptide (GIP), peptide YY (PYY), serotonin (5HT), and somatostatin (SST), are important for treating subjects suffering from these diseases. In one embodiment, the GISCs of the method may be obtained or taken from the subject and used as the foundation to grow the enteroids/organoids or enteroendocrine cells ex vivo or in vitro, and then returned or administered to or implanted in the subject.
[0207] The present invention, in other embodiments, also provides methods of treating a metabolic and/or gastrointestinal disease and/or disorders or symptoms thereof which comprise administering a therapeutically effective amount of a pharmaceutical composition comprising a therapeutic agent or compound of the described herein to a subject (e.g., a mammal such as a human) suffering from the metabolic and/or gastrointestinal disease, which may also present as a dysfunction in enteroendocrine cells. Thus, one embodiment is a method of treating a subject suffering from or susceptible to a metabolic and/or gastrointestinal disease or disorder, such as those having an endocrine cell dysfunction, or symptom thereof. Metabolic diseases and/or disorders include, but are not limited to, obesity, diabetes (e.g., type 2 diabetes), while gastrointestinal diseases and/or disorders may include but are not limited to irritable bowel syndrome (IBS), inflammatory bowel disease (IBD), Crohn's disease, and ulcerative colitis. The method includes the step of administering to the subject, a therapeutic amount of an amount of an agent, such as but not limited to, isolated or purified human gastrointestinal stem cell (GISC)-generated functional enteroendocrine cells, enteroids, rectoids, or organoids comprising functional enteroendocrine cells, herein sufficient to treat the disease or disorder or symptom thereof, under conditions such that the disease or disorder is treated in a subject.
[0208] The methods described herein include administering to the subject (including a subject identified as in need of such treatment, e.g., a subject suffering from a metabolic or gastrointestinal disease or disorder) an effective amount of an agent, or a composition comprising such an agent of GISC-generated functional enteroendocrine cells or enteroids or rectoids or organoids comprising functional enteroendocrine cells, described herein, to produce an effect of ameliorating or reducing the treated disease or symptoms thereof. Identifying a subject in need of such treatment can be in the judgment of a subject or a health care professional and can be subjective (e.g. opinion) or objective (e.g. measurable by a test or diagnostic method).
[0209] Other embodiments may provide for transplanting. Transplanting may be auto-transplanting, allotransplanting, xenotransplanting, or any other type of transplanting. For example, transplanting can be autotransplanting. Transplanting can also be allotransplanting. “Allotransplantation” and its grammatical equivalents (e.g., allogenic transplantation) as used herein may encompass any procedure that involves transplantation, implantation, or infusion of cells, tissues, or organs into a recipient subject, where the recipient subject and donor subject are the same species but different individuals. Transplantation of the cells, organs, and/or tissues described herein can be used for allotransplantation into humans. Allotransplantation includes but is not limited to vascularized allotransplant, partially vascularized allotransplant, unvascularized allotransplant, allodressings, allobandages, and allostructures.
[0210] “Autotransplantation” and its grammatical equivalents (e.g., autologous transplantation) as used herein can encompass any procedure that involves transplantation, implantation, or infusion of cells, tissues, or organs into a recipient subject, where the recipient subject and donor subject is the same individual. Transplantation of the cells, organs, and/or tissues described herein can be used for autotransplantation into humans Autotransplantation includes but is not limited to vascularized autotransplantation, partially vascularized autotransplantation, unvascularized autotransplantation, autodressings, autobandages, and autostructures. In one embodiment, gastrointestinal stem cells, isolated cells, isolated crypts or enteroids from the duodenum of a subject may be grown and differentiated in vitro or ex vivo, and when a sufficient number and/or effective amount of functional enteroendocrine cells are obtained by methods described herein, they may be returned, administered, or transplanted into the same subject by any methods, including those presently known in the art.
[0211] After transplanting, the transplanted cells may be functional in the recipient subject, or when autotransplanted, in the same subject. In some instances, the determination of functionality may dictate whether transplantation was successful. For example, the transplanted cells may be functional for at least 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 or more days after transplantation indicating the success of the transplantation. This can also indicate that there is no rejection of the transplanted cells, tissues, and/or organs.
[0212] Immunosuppressive therapy can comprise any treatment that suppresses the immune system in order to alleviate, minimize, or eliminate transplant rejection in a recipient, particularly in xenotransplantation and allotransplantation. Non-limiting examples of immunosuppressive drugs of immunosuppressive therapy that may be administered to a recipient subject before, during and/or after transplant include, MMF (mycophenolate mofetil (Cellcept)), ATG (anti-thymocyte globulin), anti-CD154 (CD40L), anti-CD40 (2C10, ASKP1240, CCFZ533X2201), alemtuzumab (Campath), anti-CD20 (rituximab), anti-IL-6R antibody (tocilizumab, Actemra), anti-IL-6 antibody (sarilumab, olokizumab), CTLA4-Ig (Abatacept/Orencia), belatacept (LEA29Y), sirolimus (Rapimune), everolimus, tacrolimus (Prograf), daclizumab (Ze-napax), basiliximab (Simulect), infliximab (Remicade), cyclosporin, deoxyspergualin, soluble complement receptor 1, cobra venom factor, compstatin, anti C5 antibody (eculizumab/Soliris), methylprednisolone, FTY720, everolimus, leflunomide, anti-IL-2R-Ab, rapamycin, anti-CXCR3 antibody, anti-ICOS antibody, anti-OX40 antibody, and anti-CD122 antibody. Combinations of one or more than one immunosuppressive agents/drugs may also be used together, simultaneously, or sequentially. These immunosuppressive agents/drugs may also be useful for induction therapy or maintenance therapy. In some embodiments, the same or different drugs may be used during induction and maintenance stages. In some cases, daclizumab (Zenapax) can be used for induction therapy and tacrolimus (Prograf) and sirolimus (Rapimune) can be used for maintenance therapy. Daclizumab (Zenapax) can also be used for induction therapy and low dose tacrolimus (Prograf) and low dose sirolimus (Rapimune) can be used for maintenance therapy. Immunosuppression can also be achieved using non-drug regimens including, but not limited to, whole body irradiation, thymic irradiation, and full and/or partial splenectomy. These techniques can also be used in combination with one or more immuno-suppressive drugs. A medical professional
[0213] The therapeutic methods of the invention (which include prophylactic treatment) in general comprise administration of a therapeutically effective amount of the agents described herein, such as an agent or compound of a particular formulae disclosed herein, to a subject (e.g., animal, human) in need thereof, including a mammal, particularly a human. Such treatment will be suitably administered to subjects, particularly humans, suffering from, having, susceptible to, or at risk for a disease, disorder, or symptom thereof. Determination of those subjects “at risk” can be made by any objective or subjective determination by a diagnostic test or opinion of a subject or health care provider (e.g., genetic test, enzyme or protein marker, Marker (as defined herein), family history, and the like). The compounds herein may also be used in the treatment of any other diseases in which enteroendocrine cell dysfunction may be implicated.
[0214] In one embodiment, the invention provides a method of monitoring treatment progress. The method includes the step of determining a level of diagnostic marker (Marker) (e.g., any target delineated herein modulated by a compound herein, a protein or indicator thereof, etc.) or diagnostic measurement (e.g., screen, assay) in a subject suffering from or susceptible to a disorder or symptoms thereof associated with a metabolic and/or gastrointestinal disease or a disease associated with an enteroendocrine dysfunction, in which the subject has been administered a therapeutic amount of a compound herein sufficient to treat the disease or symptoms thereof. The level of Marker determined in the method can be compared to known levels of Marker in either healthy normal controls or in other afflicted patients to establish the subject's disease status. In preferred embodiments, a second level of Marker in the subject is determined at a time point later than the determination of the first level, and the two levels are compared to monitor the course of disease or the efficacy of the therapy. In certain preferred embodiments, a pre-treatment level of Marker in the subject is determined prior to beginning treatment according to this invention; this pre-treatment level of Marker can then be compared to the level of Marker in the subject after the treatment commences, to determine the efficacy of the treatment.
Kits
[0215] In one embodiment, the invention provides for kits comprising GISC-derived enteroendocrine cells, or enteroids or organoids comprising such cells, as described in the invention. In another embodiment, the invention provides reagents (e.g., growth media, differentiation media, cell culture media, supplements, modulating agents (e.g., inhibitors or activators), antibiotics/antimicrobials, growth factors, nutrients) for obtaining GISC-derived enteroendocrine cells, or enteroids or organoids described herein, alone or in combination with directions for the use of such reagents. Associated with such kits may be a notice in the form prescribed by a governmental agency regulating the manufacture, use or sale of biological products, which notice reflects approval by the agency of manufacture, use or sale for human administration. Instructions for preparing the GISC-derived enteroendocrine cells, or enteroids, rectoids, or organoids may also accompany such kits.
[0216] The practice of the present invention employs, unless otherwise indicated, conventional techniques of molecular biology (including recombinant techniques), microbiology, cell biology, biochemistry and immunology, which are well within the purview of the skilled artisan. Such techniques are explained fully in the literature, such as, “Molecular Cloning: A Laboratory Manual”, second edition (Sambrook, 1989); “Oligonucleotide Synthesis” (Gait, 1984); “Animal Cell Culture” (Freshney, 1987); “Methods in Enzymology” “Handbook of Experimental Immunology” (Weir, 1996); “Gene Transfer Vectors for Mammalian Cells” (Miller and Calos, 1987); “Current Protocols in Molecular Biology” (Ausubel, 1987); “PCR: The Polymerase Chain Reaction”, (Mullis, 1994); “Current Protocols in Immunology” (Coligan, 1991). These techniques are applicable to the production of the polynucleotides and polypeptides of the invention, and, as such, may be considered in making and practicing the invention. Particularly useful techniques for particular embodiments will be discussed in the sections that follow.
[0217] The following examples are put forth so as to provide those of ordinary skill in the art with a complete disclosure and description of how to make and use the assay, screening, and therapeutic methods of the invention, and are not intended to limit the scope of what the inventors regard as their invention.
EXAMPLES
[0218] Since there are challenges in converting human intestinal stem cells (ISCs) into functional EE cells, ex vivo, there has been limited progress in elucidating the role of EE cells in disease pathogenesis and in harnessing their therapeutic potential. To address this, small molecule targeting of key transcriptional regulators, GATA4, JNK and FOXO1, known to mediate endodermal development and hormone production, together with directed differentiation of human ISCs from the duodenum and rectum were employed. A marked induction of EE cell differentiation and gut-derived expression and secretion of hormones, for example, cholecystokinin (CCK), glucagon-like peptide-1 (GLP-1), glucose-dependent insulinotropic polypeptide (GIP), peptide YY (PYY), serotonin (5HT), and somatostatin (SST), upon treatment with various combinations of three small molecules: rimonabant, SP600125 and AS1842856 was observed. Robust differentiation strategies capable of driving human EE cell differentiation was a critical step towards understanding these essential cells and the development of cell-based therapeutics.
Example 1: Differentiation Media Induces CHGA Expression in Human Enteroids
[0219] To optimize human enteroendocrine (EE) cell differentiation, a differentiation media (DM, TABLES 1A and 1B) was developed by combining specific components from published protocols used to induce EE cells (Sato T, Stange D E, Ferrante M, et al. Gastroenterology 2011; 141:1762-72; Yin X, Farin H F, van Es J H, et al. Nat Methods 2014; 11:106-12; Beumer J, Artegiani B, Post Y, et al. Nat Cell Biol 2018; 20:909-916; VanDussen K L, Marinshaw J M, Shaikh N, et al. Gut 2015; 64:911-20), including Wnt3a and two additional small molecules associated with endocrine cell differentiation: (1) betacellulin, a ligand of both EGFR and the ErbB4 receptor (Pagliuca F W, Millman J R, Gurtler M, et al. Cell 2014; 159:428-39; Roy, S. A. et al. World J Gastroenterol 18, 1579-1589, doi:10.3748/wjg.v18.i14.1579 (2012); Harskamp, L. R., Gansevoort, R. T., van Goor, H. & Meijer, E. The epidermal growth factor receptor pathway in chronic kidney diseases. Nat Rev Nephrol 12, 496-506, doi:10.1038/nrneph.2016.91 (2016)).sup.41,42 and (2) PF06260933 (PF), a small molecule inhibitor of MAP4K4 (Zhao X, Mohan R, Ozcan S, et al. J Biol Chem 2012; 287:31155-64)43. Human enteroids were first cultured in growth media (GM, TABLE 1A) for two days, allowing for intestinal stem cell (ISC) expansion, followed by DM for 12 days (G2D12). Enteroids maintained for 14 days in GM (G14) were used as controls to assess for changes in gene expression. In contrast to previous strategies aimed at generating EE cells over a five-day period (Sato T, Stange D E, Ferrante M, et al. Gastroenterology 2011; 141:1762-72; Beumer J, Artegiani B, Post Y, et al. Nat Cell Biol 2018; 20:909-916), exposure to DM for 12 days was compatible with maintenance of enteroid structural integrity (
[0220] TABLE 1A and TABLE 1B provide growth factors, supplements, and small molecules common to both growth media (GM) and differentiation media (DM) that are initially listed. Individual components in the left column correspond to growth media; those in the right column correspond to differentiation media for each of TABLE 1A and TABLE 1B, and if there is no distinction, then the component spans both the GM and DM columns. The L-WRN cell line was used to produce conditioned media containing Wnt3a, noggin, and R-spondin 3. The HA-R-Spondin1-Fc 293T cell line was used to produce conditioned media with only R-spondin 1. This conditioned media, with supplemented noggin (100 ng/mL) was used to make a Wnt3a-free differentiation media.
TABLE-US-00001 TABLE 1A Growth and Differentiation Media Components ENTEROID Growth Media Differentiation Media L-WRN conditioned media (50% v/v) DMEM/F12 (45% v/v) Glutamax (1% v/v) N-2 Supplement (1% v/v) B-27 Supplement (1% v/v) HEPES (10 mM) Primocin (100 μg/mL) Normocin (100 μg/mL) A83-01 (500 nM) N-Acetyl-cysteine (500 μM) Recombinant Murine EGF (50 ng/mL) Human [Leu15] Gastrin I (10 nM) Nicotinamide (10 mM) DAPT (20 μM) SB202190 (10 μM) Betacellulin (20 ng/mL) Tubastatin-A (10 μM) PF06260933 (6 μM) Tranylcypromine (1.5 μM) Rimonabant (10 μM) SP600125 (10 μM) AS1842856 (100 nM)
TABLE-US-00002 TABLE 1B Growth and Differentiation Media Components RECTOID Growth Media Differentiation Media L-WRN conditioned media (65% v/v) DMEM/F12 (30% v/v) Glutamax (1% v/v) N-2 Supplement (1% v/v) B-27 Supplement (1% v/v) HEPES (10 mM) Primocin (100 μg/mL) Normocin (100 μg/mL) A83-01 (500 nM) N-Acetyl-cysteine (500 μM) Recombinant Murine EGF (50 ng/mL) Human [Leu15] Gastrin I (10 nM) Nicotinamide (10 mM) DAPT (20 μM) SB202190 (10 μM) Betacellulin (20 ng/mL) Prostaglandin-E2 (10 nM) Tubastatin-A (10 μM) PF06260933 (6 μM) Tranylcypromine (1.5 μM)
[0221] To quantify the effectiveness of DM to induce EE cell differentiation, gene expression of CHGA and other lineage markers, including but not limited to, mucin 2 (MUC2, goblet cells), lysozyme (LYZ, Paneth cells), intestinal alkaline phosphatase (ALPI, enterocytes), and leucine-rich repeat-containing G-protein coupled receptor 5 (LGR5, ISCs) were profiled. In addition, the expression of transcription factors required for duodenal EE differentiation and function (PDX1, PAX4, NEUROG3, and NEUROD1), as well as hormones secreted from the duodenum (e.g., SST and GIP) were assessed. To allow for relative comparison to native tissue expression levels, total RNA from whole mucosal biopsies was included in each qPCR analysis. Exposure of enteroids to G2D12 induced consistent expression of CHGA, PAX4, SST, and GIP, with significantly higher levels of ALPI and significantly lower expression of LGR5 when compared to G14 (
[0222] Enteroids or organoids derived from normal human duodenum that were grown ex vivo or in vitro in differentiation media (DM) to induce EE cell differentiation, along with multiple combinations of different small molecules targeting GATA4, JNK and FOXO1. EE differentiation was evaluated by performing qPCR analysis on multiple EE markers including, but not limited to, chromogranin A (CHGA), neuronal differentiation 1 (NEUROD1), neurogenin 3 (NEUROG3), glucose-dependent insulinotropic polypeptide (GIP), and somatostatin (SST), using whole human duodenal mucosa as a reference. EE cell differentiation was further evaluated by immunofluorescent staining of CHGA, which included identifying the proportion of total enteroids with CHGA-positive cells as well as flow cytometric analysis to identify the total percentage of CHGA-positive cells. Hormone production was also evaluated through immunofluorescent staining of enteroids and hormone concentrations within conditioned media. EE differentiation of human enteroids using currently available or previously described methods induced low mRNA levels of CHGA, GIP, and SST as compared to whole duodenal mucosa, and did not improve with the removal of Wnt3a. Further, flow cytometric analysis demonstrated a marginal, non-significant increase in the number of CHGA-positive cells when compared to undifferentiated enteroids. The addition of a GATA activator (e.g., rimonabant, Rim), a putative GATA activator (e.g., Rim), or CB1 inverse agonist (e.g., Rim) and a PDX1 activator (e.g., SP600125, SP) or a JNK inhibitor (e.g., SP600215) induced mRNA expression of CHGA, NEUROD1, NEUROG3, SST, and GIP to levels at or surpassing native duodenal mucosa, yielding approximately 1.0% of the total cell population expressing CHGA, a 5-10 fold increase compared to the base differentiation media. Separately, the addition of a FOXO1 inhibitor (e.g., AS1842856, AS) induced similar mRNA expression trends as Rim and SP (RSP), yielding approximately 5.0% CHGA-positive cells on flow cytometric analysis. Analysis of GIP, SST, and serotonin (5HT) immunofluorescence showed that these hormones were produced in both RSP and AS conditions, with hormone secretion evaluation from conditioned media suggesting that AS promoted serotonin (5HT) production and secretion, while RSP promoted GIP secretion. Notably, AS treatment followed by RSP yielded the largest amount of GIP secretion.
[0223] Therefore, GATA4, JNK, and FOXO1 were found to play critical roles in human EE differentiation and hormone production, improving on current methods of differentiation without the use of direct genetic alteration.
Example 2: Treatment with Rimonabant and SP600125 Induces EE Lineage Differentiation
[0224] Small molecules that might further induce EE cell differentiation, such as, transcriptional regulators involved in gastrointestinal development and hormone regulation, were determined. To identify additional strategies that might further induce EE cell differentiation, small molecules that were shown to target GATA4 and PDX1 activity, key transcriptional regulators involved in gastrointestinal development and hormone regulation, were tested. To induce GATA4 activation, first, rimonabant (Rim), a highly selective cannabinoid receptor type I (CB1) antagonist that has been shown to increase human serum GIP levels (Sathyapalan, T. et al. Clin Endocrinol (Oxf) 72, 423-425, doi:10.1111/j.1365-2265.2009.03643.x (2010)).sup.44 and that is structurally identical to Compound 7, a molecule which was previously shown to increase the activity of GATA4-NKX2-5 transcriptional activity in vitro (Valimaki, M. J. et al. J Med Chem 60, 7781-7798, doi:10.1021/acs.jmedchem.7b00816 (2017).45, was utilized. In parallel, the small molecule SP600125 (SP) was used to inhibit JNK signaling, which has been shown to suppress PDX1 activity (Tang, C. et al. Endocrinology 159, 3643-3654, doi:10.1210/en.2018-00566 (2018); Kaneto, H. et al. Curr Diabetes Rev 1, 65-72 (2005)).sup.31,32 Separately, both Rim and SP induced expression of multiple EE lineage markers (CHGA, NEUROD1, NEUROG3, SST, and GIP) when added to DM, with Rim having a much larger effect (
[0225] Activation of GATA4, inhibition of JNK, and inhibition of FOXO1 were found to all play important roles in the directed differentiation of human EE cells from duodenal ISCs. Prior to this disclosure, the differentiation of EE cells using the enteroid culturing system had mainly been studied in the context of Wnt, Notch, MAPK and BMP signaling, with inhibition of these pathways driving gastrointestinal stem cells into the secretory lineage, and subsequent removal of p38 MAPK inhibition leading to EE cell differentiation (Basak, O. et al. Cell Stem Cell 20, 177-190 e174, doi:10.1016/j.stem.2016.11.001 (2017); Chen, C., Fang, R., Davis, C., Maravelias, C. & Sibley, E. Am J Physiol Gastrointest Liver Physiol 297, G1126-1137, doi: 10.1152/ajpgi.90586.2008 (2009)).sup.9-16. Despite these important advances, the overall efficiency of EE differentiation in the majority of these other studies is hard to estimate due to their strong reliance on gene expression analysis with little data at the protein level. However, in embodiments of the disclosure described here, robust induction of EE differentiation was shown here and assessed using gene and protein expression as well as hormone secretion (e.g., cholecystokinin (CCK), glucagon-like peptide-1 (GLP-1), glucose-dependent insulinotropic polypeptide (GIP), peptide YY (PYY), serotonin (5HT), and somatostatin (SST)), following treatment with small molecules targeting, for example, FOXO1, GATA4, and JNK, at levels that approach the native duodenal mucosa.
Example 3: Treatment with AS1842856 Induces Duodenal EE Lineage Differentiation
[0226] To assess whether inhibition of FOXO1 could facilitate the differentiation of EE cells in enteroids, AS1842856 (AS), a FOXO1 inhibitor (Yu F, Wei R, Yang J, et al. Exp Cell Res 2018; 362:227-234).sup.46, was added to the disclosed differentiation protocol. Addition of AS to the DM culture conditions led to the formation of small, spherical enteroids (
Example 4: Treatment with Rimonabant/SP600125 or AS1842856 Promote Distinct Enteroid Differentiation Trajectories
[0227] To better assess the transcriptomic distinctions between cells from the various culture conditions, single cell RNA sequencing (scRNA-seq) on the 10× platform combined with sample hashing was utilized, allowing the assessment of the reproducibility of the findings from distinct donors. Enteroids from three individuals were grown in G2D12, RSP or AS, for a total of nine samples. After the 14-day protocol, enteroids were isolated and processed into a single-cell suspension and their condition and patient source were marked using Hashtag antibodies prior to pooling the samples together (Stoeckius, M. et al. Genome Biol 19, 224, doi:10.1186/s13059-018-1603-1 (2018).).sup.47. After labeling, cells were processed, and single-cell transcriptomes were generated.
[0228] By using hashtag labeling, the cells were categorized into singlets (significant detection of one antibody), doublets (significant detection of more than one antibody) or negative droplets (no significant detection of any antibodies). Negative droplets were found to have a reduced number of both detected genes and Unique Molecular Identifiers (UMIs), supporting the idea that the majority of these datapoints do not correspond to an individual cell (
[0229] After removal of doublets, negative droplets, and low-quality cells (gene count<200, percentage of mitochondrial RNA>25%), the resulting dataset consisted of 14,767 cells spread across the three different culture conditions. UMAP visualization revealed distinct cell separation between G2D12 and AS treatment with minimal overlap between the two populations. In contrast, enteroid treatment with RSP generated populations that overlapped with the two other culture conditions (
[0230] To understand how different culture conditions impacted enteroid development and differentiation, the proportions of the various cell types across each condition (
[0231] To further characterize the differentiation path of each culture condition, scVelo was used to model the RNA velocity and differentiation trajectory of each cell type (Bergen, V., Lange, M., Peidli, S., Wolf, F. A. & Theis, F. J. Nat Biotechnol 38, 1408-1414, doi:10.1038/s41587-020-0591-3 (2020)).sup.54. Briefly, RNA velocity analysis pipelines, such as scVelo, leverage the fact that scRNA-seq can distinguish between un-spliced and spliced variants of each gene. Since recently transcribed RNA was present as an un-spliced variant which was then spliced into its mature form before eventually being degraded, it was possible to calculate the dynamic kinetics of each individual gene's expression across all cells within the dataset based on the ratio of un-spliced to spliced RNA (Bergen, V., Lange, M., Peidli, S., Wolf, F. A. & Theis, F. J. Nat Biotechnol 38, 1408-1414, doi:10.1038/s41587-020-0591-3 (2020); La Manno, G. et al. Nature 560, 494-498, doi:10.1038/s41586-018-0414-6 (2018)).sup.54,55. scVelo used the collection of gene kinetics to infer the direction and speed of cell state changes on a population level. This method was applied to each culture condition and generated vector estimates of cellular transition overlaid on each UMAP (
[0232] To verify that the EE cells identified in the enteroid system of the disclosure resembled those found in situ, dataset was compared with a reference gene set from isolated mouse EE cells (Haber, A. L. et al. Nature 551, 333-339, doi:10.1038/nature24489 (2017).sup.49. This list encompassed 77 genes, including conventional markers such as CHGA, NEUROG3, and the enzyme TPHI (data not shown). Briefly, a heatmap of marker genes significantly enriched in in vivo enteroendocrine (EE) cells isolated from the mouse small intestinal epithelial cell atlas was generated. Heatmap values were calculated using similar methods seen in
Example 5: Treatment with AS1842856 Followed by Rimonabant and SP600215 Increases GIP Expression in Human Enteroids
[0233] Compared to RSP-treated enteroids, AS treatment led to more robust EE differentiation, based on overall induction of multiple EE cell markers and the larger fraction of CHGA+ cells (
[0234] The impact of adding RSP after exposure to AS was tested, because it was thought that AS treatment would shunt a larger proportion of cells into the EE lineage, with the later addition of RSP, which induced GIP expression in more cells than RSP alone. In order to identify the appropriate time for the addition of RSP, a time-course analysis of AS-treated enteroids was performed and found that multiple transcription factors were required for EE differentiation, including NEUROD1 and NEUROG3, which showed increased expression around the fourth day of differentiation. Following this, both CHGA and SST had detectable transcript levels by the sixth day of differentiation (
[0235] Furthermore, exposure to AS for the entire differentiation protocol, i.e., AS and AS.fwdarw.RASP, decreased expression of MUC2 and ALP1 and increased expression of LGR5 compared to those that received RSP alone, for any amount of time (
[0236] The effect of the disclosed differentiation protocols on proliferation and apoptosis after 7 and 14 days of culture was evaluated. As expected, at 7 days GM supported cell proliferation, as evidenced by a significantly higher fraction of EdU-positive (EdU+) cells (2.7%), after a two-hour pulse, compared to all other conditions. There were no significant differences between DM, RSP, and AS, which ranged from 0.1%-0.5% EdU+ cells. At the end of the experiment (day 14), there were no differences in the percentage of EdU+ cells between any groups (which ranged from 0.1-0.6%), suggesting that GM conditions are not able to sustain ongoing proliferation indefinitely (
[0237] All four differentiation strategies induced a high fraction of CHGA+ enteroids, ranging from 79% to 88% (RSP, 79%; AS, 82%; AS.fwdarw.RSP, 81%; AS.fwdarw.RASP, 88%), as assessed by immunostaining (
Example 6: Hormone Production and Secretion Mirror Gene Expression Changes in Enteroids
[0238] To assess hormone production and secretion during EE cell differentiation, duodenal-associated hormones were assayed in response to the various differentiation conditions. Immunofluorescent staining showed that SST was expressed similarly in all differentiation conditions, aside from G2D12, with 42% to 53% of enteroids containing SST-positive cells (RSP, 45%; AS, 42%; AS.fwdarw.RSP, 53%; AS.fwdarw.RASP, 51%) (
[0239] Finally, to assess hormone secretion, conditioned media from each differentiation condition disclosed here were assayed. Exposure to AS alone induced higher levels of 5HT secretion than all other conditions, with AS.fwdarw.RSP conditioned media showing higher levels of 5HT when compared to RSP and AS.fwdarw.RASP (
[0240] Studies for establishing a role for Wnt, Notch, MAPK, and BMP signaling in EE lineage differentiation have been performed using the enteroid culturing system, which approximates in vivo growth and development due to its 3D nature. However, there are significant shortcomings to the analyses of intestinal enteroid differentiation. First, RNA expression does not always mirror protein expression, as evidenced by the presence of GIP mRNA in AS.fwdarw.RASP enteroids (
Example 7: Differentiation Media Induces EE Cell Differentiation in Human Rectoids
[0241] In comparison to enteroids, rectoids showed a much stronger induction of EE cells when exposed to G2D12. To evaluate the ability of the disclosed DM to induce EE cell differentiation outside of the duodenum, organoids derived from rectal ISCs (rectoids) were exposed to the G14 and G2D12 protocols. Rectoids treated with G14 maintained spherical structures, while those exposed to G2D12 had a mixture of spherical and budding structures (
[0242] Immunofluorescence staining revealed CHGA+ cells within a majority of G2D12 rectoids (72%) (
Example 8: Isolation of Human Intestinal Crypts
[0243] Tissues were procured as previously described (Kasendra M, Tovaglieri A, Sontheimer-Phelps A, et al. Sci Rep 2018; 8:2871).sup.31. In short, de-identified endoscopic biopsies were collected from grossly unaffected tissues in pediatric patients undergoing esophagogastroduodenoscopy at Boston Children's Hospital for gastrointestinal complaints and used for organoid derivation e.g., duodenal enteroid derivation. Further, de-identified duodenal resections were collected from adult patients undergoing pancreaticoduodenectomy at Massachusetts General Hospital prior to chemotherapy or radiation therapy forpancreatic carcinoma. Whole mucosal biopsies were generated from the duodenal resections using endoscopic biopsy forceps and used fortotal RNA isolation. Age and sex ofdonors can be found in TABLE 2, but were unknown to researchers when experiments were being pelformed. Only macroscopically normal-appearing tissue was used from patients without a known gastrointestinal diagnosis. Each experiment was performed on at least three independent organoid (e.g., enteroid) lines derived from pediatric biopsy samples. Informed consent and developmentally appropriate assent were obtained at Boston Children's Hospital from the donors' guardian and the donor, respectively. Informed consent was obtained at Massachusetts General Hospital from the donors. All methods were approved and carried out in accordance with the Institutional Review Boards of Boston Children's Hospital (Protocol number IRB-P00000529) and Massachusetts General Hospital (Protocol number IRB-2003P001289).
[0244] Resections were briefly washed with pre-warmed DMEM/F12, after which the epithelial layer was separated from the rest of the duodenum manually with sterilized surgical tools then taken for RNA isolation. To isolate crypts, pediatric biopsies were digested in 2 mg/mL of Collagenase Type I (Life Technologies, 17018029) reconstituted in Hank's Balanced Salt Solution for 40 minutes at 37° C. Samples were then agitated by pipetting followed by centrifugation at 500×g for 5 minutes at 4° C. The supermatant was then removed, and crypts resuspended in 200-300 μL of Matrigel® (Corning, 356231), with 50 μL being plated onto 4-6 wells of a 24-well plate and polymerized at 37° C.
TABLE-US-00003 TABLE 2 Description of samples Identification Age Sex Application H357 13 years Male Enteroid line H367 18 years Male Rectoid line H368 14 years Female Enteroid line H389 14 years Male Enteroid line H393 15 years Female Enteroid line H395 18 years Male Enteroid line H407 13 years Male Enteroid line H416 21 years Female Enteroid line H439 19 years Female Enteroid line H522 82 years Female Duodenal mucosa RNA H544 55 years Female Duodenal mucosa RNA H545 70 years Male Duodenal mucosa RNA H567 15 years Male Rectoid line H587 17 years Female Rectoid line H598 18 years Female Rectal mucosa RNA H609 17 years Female Rectoid line H616 12 years Female Rectoid line H620 17 years Female Rectal mucosa RNA H637 15 years Female Rectal mucosa RNA H642 15 years Female Rectoid line H645 15 years Female Rectoid line H646 17 years Female Rectoid line
Example 9: Culturing of Human Duodenal Enteroids In Vitro
[0245] Isolated crypts in Matrigel® were grown in growth media (GM) (TABLE 1A and TABLE 1B) and the resulting enteroids were passaged every 6-8 days as needed, with media changes occurring every two days. To passage, Matrigel® was mechanically dissociated from the well and resuspended in 500 μL of Cell Recovery solution (Corning, 354253) for 40-60 minutes at 4° C. To aid in separating the Matrigel® and enteroids, the tubes are gently inverted and then centrifuged at 500×g for 5 minutes at 4° C. The supernatant was then removed, and organoids (e.g., enteroids) resuspended in Matrigel®, followed by mechanical disruption via a bent-tipped pipette. Organoids were passaged at a 1:2 dilution, with 50 μL per well of a 24-well plate. After plating, the organoids were incubated at 37° C. for 10 minutes to allow the Matrigel® to set. Once complete, 500 μL of GM was added to each well.
[0246] For differentiation, enteroids were passaged and grown in GM for two days, to allow for ISC expansion, after which the organoids were transitioned to tissue-specific differentiation media (DM) with additional small molecules added as described (TABLE 1A and TABLE 1B). Media was changed every two days, with Tubastatin A being removed after the second day of differentiation. Enteroids and rectoids were taken for analysis after 14 days.
Example 10: Gene Expression Analysis
[0247] Total RNA was purified from individual wells using TRI®Reagent (Sigma) and the Direct-zol™ RNA kit (Zymo Research), following the manufacturer's protocol. RNA concentration was determined using a NanoDrop™ 1000 spectrophotometer (Life Technologies). RNA was treated with DNAse (Promega) and reverse transcribed using the High-Capacity cDNA Reverse Transcription Kit (Life Technologies). Gene expression analysis was then performed by Real Time quantitative PCR (qPCR) using a QuantStudio 6 Flex thermocycler (Life Technologies). Taqman primers from Life Technologies (TABLE 3) were used. 18S transcripts were used as the internal control and data were expressed using the 2.sup.−ddCt method with Ct limit of 40. Fold change, unless otherwise stated, was compared to total RNA derived from adult whole mucosal tissue biopsies.
TABLE-US-00004 TABLE 3 List of Taqman qPCR Primers from Life Technologies (Cat. # 4331182) Name Abbreviation Identifier 18S 18S Hs99999901_s1 Intestinal alkaline phosphatase ALPI Hs00357579_g1 Atonal bHLH transcription factor 1 ATOH1 Hs00944192_s1 Carbonic anhydrase II CAII Hs01070108_m1 Cholecystokinin CCK Hs00174937_m1 Chromogranin A CHGA Hs00900370_m1 GATA binding protein 4 GATA4 Hs00171403_m1 Glucose-dependent insulinotropic GIP Hs00175030_m1 polypeptide Leucine-rich repeat-containing LGR5 Hs00969422_m1 G-protein coupled receptor 5 Lysozyme LYZ Hs00426232_m1 Mucin 2 MUC2 Hs03005103_g1 Neuronal differentiation 1 NEUROD1 Hs01922995_s1 Neurogenin 3 NEUROG3 Hs01875204_s1 Paired box 4 PAX4 Hs00173014_m1 Pancreatic and duodenal homeobox 1 PDX1 Hs00236830_m1 Peptide YY PYY Hs00373890_g1 Somatostatin SST Hs00356144_m1
Example 11: DNA Isolation
[0248] To isolate organoid genomic DNA, 200 μL of 50 mM NaOH was added to a single well of a 24-well plate and the Matrigel® was mechanically dissociated. The samples were then transferred to 1.5 mL microcentrifuge tubes and placed in a 95° C. heat block for 20 minutes. The tubes were then vortexed, after which 25 μL of 1M Tris-HCl was added. The samples were then centrifuged at 14,000 rpm for 10 minutes. The DNA content of the supermatant was then assayed using a NanoDrop™1000 spectrophotometer (Life Technologies).
Example 12: Immunofluorescence
[0249] Immunofluorescence staining was performed as previously described with minor modifications (Dekkers J F, Alieva M, Wellens L M, et al. Nat Protoc 2019; 14:1l756-1771).sup.32. Organoids were grown in and isolated from Matrigel® as noted above. 1-3 wells from a 24-well plate were washed in 200 μL of 1× phosphate-buffered saline (PBS) and moved in suspension to a 1.5 mL microcentrifuge tube. Each tube was centrifuged at 800×g for 5 minutes at 4° C. to pellet organoids. PBS was aspirated, and organoids were fixed in 200 μL of 4% paraformaldehyde (PFA) for 20 minutes on ice, shaking. Each tube was centrifuged again as above, and PFA was aspirated. The organoids were then resuspended in 500 μL of 0.3% Triton-X in PBS and moved to a 48-well plate for the remaining steps. The organoids were permeabilized for 30 minutes at room temperature, shaking. Between each step, organoids were allowed to settle to the bottom of each well, the plate was angled, and the solution aspirated by careful pipetting. Organoids were then blocked with 5% bovine serum albumin in PBS for 1.5 hours at room temperature, shaking. This was followed by three five-minute washes in 500 μL of PBS at room temperature, shaking.
[0250] Each well was then incubated in 200 μL of primary antibodies diluted in 5% BSA/0.1% Trition-X in PBS at 4° C. overnight. This was followed by five washes in 500 μL of 0.1% Triton-X in PBS for 15 minutes each at room temperature, shaking. 200 μL of secondary antibodies, including Alexa Fluor 488- or 647-conjugated anti-mouse (Invitrogen, A-21202, or A-31571, 1:400), Alexa Fluor 488-conjugated anti-rat (Invitrogen, A-21208, 1:400), Alexa Fluor 488-conjugated anti-goat (Invitrogen, A-11055, 1:400) or Alexa Fluor 647-conjugated anti-rabbit (Invitrogen, A-31573, 1:400), diluted in 0.1% Triton-X in PBS, which were then added to each well and incubated for two hours at room temperature, shaking. Organoids were then washed as above, then moved to new 1.5 mL centrifuge tubes. During the last wash, 4′,6-diamidino-2-phenylindole (DAPI, Life Technologies, D1306) was added at a concentration of 1:1000 for nuclear staining. Organoids were then centrifuged at 1000×g for 5 minutes at 4° C. to assist in removal of as much PBS as possible. Slides were prepared by drawing three circles with a hydrophobic pen (Vector Laboratories, H-4000). Enteroids were then resuspended in 20 μL of Prolong Gold Antifade mountant (Life Technologies, P36930), and droplets placed within hydrophobic circles. The organoids were spread out to reduce clumping, sealed with a coverslip, and allowed to dry overnight at room temperature. Slides were stored at 4° C. for future imaging. Images were acquired using a Nikon upright Eclipse 90i microscope with a 20×/0.75 Plan-Apochromat objective and adjusted for brightness and contrast in Fiji (Schindelin J, Arganda-Carreras I, Frise E, et al. Nat Methods 2012; 9:676-82).sup.68.
[0251] Primary antibodies included Chromogranin A (CHGA) (Agilent/Dako, M086901-2, 1:100; Millipore Sigma, HPA017369, 1:100), Serotonin (Abcam, ab66047, 1:100), GIP (Invitrogen, PA5-76867, 1:100) and Somatostatin (R&D Systems, mab2358, 1:100).
Example 13: Quantification of Immunofluorescent Enteroids
[0252] This technique was adapted from a previously described method (Borten M A, Bajikar S S, Sasaki N, et al. Sci Rep 2018; 8:5319).sup.69. Immunofluorescent images were acquired using an Invitrogen EVOS FL 2 Auto microscope (Life Technologies). Representative images of stained enteroids were taken at 2× magnification. The stitched images were then processed in Fiji (Schindelin J, Arganda-Carreras I, Frise E, et al. Nat Methods 2012; 9:676-82).sup.68. The color of the DAPI images was converted to 8-bit grayscale and then the image was smoothed by applying a Gaussian Blur filter (radius=4, scaled units). Thresholding of the smoothed images was performed using manual adjustment to achieve optimal separation of individual enteroids. Watershed and Find Edges filters were then applied to segment any clumped enteroids. Post-segmentation analysis was performed to outline and count individual enteroids using Analyze Particles (size=4,000-100,000, circularity=0.30-1.00, exclude on edges). Each image was then manually curated to exclude debris and enteroids exhibiting background fluorescence. Any remaining clumped enteroids were manually separated prior to quantification. The outlines generated from the DAPI images were then applied to the corresponding images from the other fluorescent channels. Each color image was converted to 8-bit grayscale and then the HiLo Lookup Table was applied. The threshold gate for stained cells was found by manual adjustment of positively stained enteroids to achieve optimal representation. The threshold gate for each channel was then applied to each experimental condition. The Mean metric was extracted with ROI manager (measure) and compiled for analysis. Enteroids with a Mean value of more than zero were considered positive.
Example 14: Flow Cytometry
[0253] Organoids were incubated in Cell Recovery solution for 40-60 minutes at 4° C. to remove the Matrigel® and then centrifuged at 500×g for 5 minutes at 4° C. To achieve single cell suspension, organoids were then incubated in 500 μL of TrypLE™ Express (Thermo Fisher Scientific) at 37° C. for 30 minutes and broken up by repeated pipetting using a bent P1000 pipette tip. Each sample was then diluted in 800 μL of 20% FBS in Advanced DMEM/F12 and then centrifuged at 800×g for 5 minutes at 4° C. To mark dead cells, each sample was then incubated in DAPI (1:1000) diluted in 2% FBS/2 mM EDTA/calcium-free DMEM for 20 minutes at room temperature, then centrifuged at 800×g for 5 minutes at 4° C. and washed in 2% FBS/2 mM EDTA/DMEM. Cells were then incubated in 1% PFA for 15 minutes at room temperature, washed with 2% FBS/PBS and then permeabilized in 0.2% Tween 20 in 2% FBS/PBS for 15 minutes at 37° C. Following centrifugation, cells were resuspended in 0.1% Tween 20/2% FBS/2 mM EDTA in PBS with PE/Alexa Fluor 647-conjugated CHGA (BD Biosciences, 564563, 1:100) or PE/Alexa Fluor 647-conjugated mouse IgG1, K isotype, (BD Biosciences, 554680, 1:200) or with no antibody (the latter two acting as controls) for 30 minutes on ice. Cells were then washed in 0.1% Tween 20/2% FBS/2 mM EDTA in PBS, filtered through a 37-micron mesh, and then analyzed on a BD FACSAria II SORP flow cytometer. The gating strategy was performed as described here (
Example 15: Cell Proliferation
[0254] Enteroid cell proliferation was assessed using the Click-iT™ EdU Alexa Fluor™ 488 Flow Cytometry Assay kit (Thermo Fisher Scientific) following the manufacturer's protocols. Briefly, enteroids were grown in Matrigel® as noted above and taken for analysis after 7 and 14 days. Enteroids were labeled following incubation with 10 μM of EdU at 37° C. for 2 hours and then incubated with TrypLE™ Express as above to isolate single cells. All samples were then diluted in 800 μL of 20% FBS in Advanced DMEM/F12 and then centrifuged at 800×g for 5 minutes at 4° C. Fixation, permeabilization, and the Click-iT reaction were performed in accordance with manufacturer's protocols before being filtered through a 37-micron mesh, and then analyzed on a BD FACSAria II SORP flow cytometer.
Example 16: Cell Apoptosis
[0255] Apoptosis was assessed using the Dead Cell Apoptosis Kit with Annexin V Alexa Fluor™ 488 & Propidium Iodide (Thermo Fisher Scientific) following the manufacturer's protocols. For these experiments, enteroids were grown in Matrigel® as noted above and taken for analysis after 7 and 14 days. To isolate single cells, enteroids were incubated with TrypLE™ Express as above. All samples were then diluted in 800 μL of 20% FBS in Advanced DMEM/F12 and then centrifuged at 800×g for 5 minutes at 4° C. Samples were then incubated with propidium iodide and annexin V per manufacturer's protocol. Cells were filtered through a 37-micron mesh, and then analyzed on a BD FACSAria II SORP flow cytometer.
Example 17: ELISA
[0256] Hormone quantification for GIP (MilliporeSigma, EZHGIP-54K), GLP-1, PYY, and serotonin (Eagle Biosciences/DLD Diagnostika GmbH, SER39-KO1) and were performed using kits and following manufacturer's protocols. For these experiments, organoids were grown in 48-well plates to aid in concentrating the hormone of interest. Conditioned media was taken on day 14 of differentiation. For GIP quantification, Diprotin A (Tocris, 6019, 100 μM), a dipeptidyl peptidase 4 inhibitor, was added daily to the media for the last two days of differentiation to prevent GIP and GLP-1 degradation. For hormone induction studies, forskolin (Fsk) (10 μM) was added to fresh media 24-hours prior to conditioned media being taken. As an additional control, differentiation media not exposed to cells was also evaluated. This value was then subtracted from each experimental sample.
Example 18: Sample Preparation for Single Cell RNA Sequencing
[0257] Enteroids were incubated in Cell Recovery solution for 40-60 minutes at 4° C. to remove the Matrigel® and then centrifuged at 500×g for 5 minutes at 4° C. To achieve single cell suspension, organoids were then incubated in 500 μL of TrypLE™ Express at 37° C. for 30 minutes and broken up by repeated pipetting using a bent P1000 pipette tip. Each sample was then diluted in 800 μL of 20% FBS in Advanced DMEM/F12, filtered through 37 μm mesh, and then centrifuged at 300×g for 10 minutes at 4° C. Dead cells were then removed using magnetic-activated cell sorting (MACS) separation following the manufacturer's protocol. Briefly, each sample was resuspended in 100 μL Dead Cell Removal MicroBeads (Miltenyi Biotec) and incubated at room temperature for 15 minutes. 400 μL of 1×Binding Buffer was then added to each sample, after which the samples were applied to prepared MACS columns placed in a MACS Separator. Flow-through containing live cells was collected. This was followed by washing the columns four times with 1× Binding Buffer, which were combined with the initial flow-through. These samples were then centrifuged at 800×g for 5 minutes at 4° C.
Example 19: Hashtag-Labeling of Sequencing Samples
[0258] Single cells isolated after dead cell removal (see, Example 18) were labeled prior to sequencing with Totalseq™-B hashtag antibodies (Biolegend), targeted against CD298 and β2-microglobulin, per the manufacturer's protocol.sup.47. Briefly, each of the nine samples (three separate differentiation conditions in three enteroid lines) were resuspended in 50 μL of Cell Staining Buffer (Biolegend) and blocked with 5 pL of Human TruStain FcX.sup.TM blocking reagent (Biolegend) for 10 minutes at 4° C. The supernatant was then removed, and each sample resuspended in 50 μL of Cell Staining Buffer containing 1 pg of a unique Totalseq™-B hashtag antibody. Samples were incubated for 30 minutes at 4° C. and then washed three times in 3.5 mL of Cell Staining Buffer. The samples were then filtered through a 37 μm mesh, resuspended in 2% BSA in PBS at a concentration of 1500 cells/μL, and then pooled together. Of note, prior to the scRNA-seq experiment, antibody binding was verified using fluorophore-conjugated antibodies with the same binding specificity.
Example 20: Droplet-Based Single Cell RNA Sequencing and Alignment
[0259] A total of 180,000 cells as one pool were inputted across four channels, with a recovery rate of approximately 30,000 cells across all four channels. RNA libraries were prepared from single cells by the Single Cell Core at Harvard Medical School, Boston, Mass., using the 10× Chromium Single Cell 3′ Library Chip (V3.1) with dual indexed barcodes. Briefly, single cells were partitioned into Gel Beads in Emulsion (GEMs) by the Chromium Controller. Prior to partitioning, hashed cells were pooled together and “super-loaded” to reduce batch effects across samples (Stoeckius, M. et al. Genome Biol 19, 224, doi:10.1186/s13059-018-1603-1 (2018).sup.47. Once partitioned, cells were lysed and RNA was captured, reverse transcribed, and amplified. cDNA was then enzymatically fragmented and sample indices were attached to both ends of the fragment. Following library prep, the transcriptomes were sequenced by the Molecular Biology Core Facilities at the Dana-Farber Cancer Institute on an Illumina NovaSeq 6000 sequencing platform. The pooled sample was split across two lanes on a NovaSeq S1 flow cell.
[0260] After sequencing, the files were processed, demultiplexed and aligned using 10× 's Cell Ranger software (v5.0.1). Briefly, raw Binary Base Call (BCL) files were demultiplexed using the cellranger mkfastq function, a wrapper of Illumina's bcl2fastq, with the filter dual index argument set to true. Following the generation of the FASTQ files, the samples were aligned to the hg19 human genome and features were counted using the cellranger count function. This function aligned the Unique Molecular Identifiers (UMIs) of each individual cell to the related gene and counted the number of detected UMIs to generate a feature-barcode matrix. In addition, it also measures the hashtag oligo counts for each individual cell from the relevant hashtag antibodies that were used to label each condition. In addition, for analysis of RNA velocity, both un-spliced and spliced RNA variants were aligned and counted using the velocyto.py package (v0.17.16) (La Manno, G. et al. Nature 560, 494-498, doi:10.1038/s41586-018-0414-6 (2018)).sup.5.
Example 21: Single Cell RNA Sequencing Analysis
[0261] Analysis of the scRNA-seq data was conducted using the Seurat package (v4.0.1), within the R programming language (v4.0.3). Initially, cells were filtered to only include those with at least one detectable hashtag antibody signal, and then hashtag counts were normalized, and the cell samples were demultiplexed using the HTOdemux function built into Seurat. This function ranked a cell as being positive for a specific hashtag signal, if the detected signal was in the 99th percentile or higher. Cells were then demultiplexed, with cells that had no positive signals being labeled as negative cells, cells with only one positive signal being labeled by their respective positive signal, and cells with two or more positive signals being labeled as doublets. Following demultiplexing, the dataset was pre-processed to remove cells that were deemed of lower quality, based on their number of unique genes (<200 unique genes) and the proportion of UMIs that corresponded to mitochondrial RNA (>25% of UMIs) (
[0262] After the removal of doublet barcodes, negative barcodes and the remaining barcodes that were deemed to be of lower quality, a resulting combined dataset of 14,767 cells was used for further analysis. To better control for batch effects and to improve the ability to detect diversity within the samples, the gene counts were normalized using regularized negative binomial regression, using SCTransform (Hafemeister, C. & Satija, R. Genome Biol 20, 296, doi:10.1186/s13059-019-1874-1 (2019)).sup.70. Following normalization, dimensional reduction was performed by running Principal Component Analysis (PCA) and, based on the elbow plot generated, selected the first 20 principal components for defining the K nearest neighbors and the Uniform Manifold Approximation and Projection (UMAP) plot. After dimensional reduction, 15 clusters were defined using Louvain clustering (resolution=0.5). Differentially expressed genes were identified across each cluster using the Wilcoxon rank sum test via the FindAllMarkers function built into Seurat. Only genes that were expressed in at least 25% of cells and had a log-fold change of 0.25 were considered in this analysis. These differential genes, as well as classical epithelial markers, were used to broadly categorize the clusters into six epithelial cell types and include LGR5, AXIN2 and ASCL2 for intestinal stem cells, KRT20, FABP2, and FABP1 for enterocytes, MUC2, FCGBP, and GFI1 for goblet cells, CHGA, NEUROG3, NEUROD1 and PAX4 for enteroendocrine cells, CD44 for progenitor cells and MKI67 for proliferating cells (Barker, N. Nat Rev Mol Cell Biol 15, 19-33, doi: 10.1038/nrm3721 (2014); van der Flier, L. G. & Clevers, H. Annu Rev Physiol 71, 241-260, doi:10.1146/annurev.physiol.010908.163145 (2009); Noah, T. K., Donahue, B. & Shroyer, N. F. Exp Cell Res 317, 2702-2710, doi:10.1016/j.yexcr.2011.09.006 (2011)).sup.51-53.
[0263] Finally, enteroid EE cell identity was compared to the gene set signature from tissue EE cells isolated from the murine small intestine (Haber, A. L. et al. Nature 551, 333-339, doi: 10.1038/nature24489 (2017)).sup.49. To compare the gene signature, the gene module score of each individual cell was calculated using the AddModuleScore function found in Seurat v3 and v4, which calculates the score based on the enrichment of the specified gene set compared to randomly selected genes with a comparable average gene expression (Stuart, T. et al. Cell 177, 1888-1902 e1821, doi:10.1016/j.cell.2019.05.031 (2019).sup.48. The AddModuleScore function calculated a scaled score between 0 to 1.
Example 22: Trajectory Analysis with scVelo
[0264] RNA velocity was calculated using the scVelo package (v0.2.3) with Scanpy (v1.7.1) on Python (v3.7.9) (Bergen, V., Lange, M., Peidli, S., Wolf, F. A. & Theis, F. J. Nat Biotechnol 38, 1408-1414, doi:10.1038/s41587-020-0591-3 (2020).sup.54. To perform trajectory analysis of epithelial organoids, the un-spliced and spliced variant count matrix that was previously calculated using velocyto was fused with an anndata object containing the UMAP information and cluster identities defined in Seurat analysis. The combined dataset was then processed using the scVelo pipeline: The ratio of un-spliced:spliced RNA for each gene was normalized and filtered using the default settings. Afterwards, the first and second moments were calculated for velocity estimation. Following moment calculation, the dynamic model was used to calculate the RNA velocities. The dynamic model iteratively estimated the parameters that best model the phase trajectory of each gene, thereby capturing the most accurate, albeit more computationally intensive, estimate of the dynamics for each gene. These approaches were used to graphically model the RNA velocity for each culture condition.
Example 23: Quantification and Statistical Analysis
[0265] All experiments were repeated using at least three different human organoid lines and representative data from a single line is shown. For qPCR and flow cytometry studies, each condition was performed using pooled enteroids from 3-5 wells, unless otherwise noted, with each well acting as a single sample. Whole mucosal biopsies from duodenal resections and whole mucosa rectal biopsies were combined from three different individuals to generate a single reference sample for all enteroid and rectoid experiments.
[0266] Prior to statistical analysis, all qPCR data were transformed using log.sub.10. When analyzing only two conditions, statistical significance was determined by unpaired, two-tailed Student's t-test, combined with the Holm-Sidak method to control for multiple comparisons. When analyzing more than two conditions, statistical significance was determined by either one-way or two-way Analysis Of Variance (ANOVA), followed by Tukey post hoc analysis. Specific conditions were excluded from statistical analysis if the data from one or more samples were labeled as not detectable. When analyzing the statistical relationship between cell proportions identified using single cell RNA sequencing, the non-parametric Kruskal-Wallis test was conducted, followed by Dunn's post-hoc analysis. The Bonferroni correction was used to account for multiple hypothesis testing when performing the post-hoc analysis. When comparing the distribution of gene module scores across the three different culture conditions, effect size was used to compare large changes and was calculated as Cohen's d. Statistical details for each experiment can be found within each figure legend.
Example 24: Reagents
[0267] A list of all reagents and resources used as described here, including source and catalog number, can be found in TABLE 4.
TABLE-US-00005 TABLE 4 Reagents and Resources REAGENT or RESOURCE SOURCE CATALOG NUMBER Primary Antibodies (Dilution used) Alexa Fluor 647-Conjugated Anti-Chromogranin A Antibody Novus Biologicals NBP2-47850AF647 (1:100) Alexa Fluor 647-Conjugated Mouse IgG2b kappa Isotype Biolegend 400330 Control Antibody (1:100) Anti-Chromogranin A Antibody (1:100) Agilent/Dako M086901-2 Anti-Chromogranin A Antibody (1:100) Millipore Sigma HPA017369-100UL Anti-Cholecystokinin Antibody (1:100) Abcam Ab27441 Anti-GIP Antibody (1:100) Invitrogen PA5-76867 Anti-GLP-1 Antibody (1:100) Abcam Ab23468 Anti-PYY Antibody (1:50) Mybiosource MBS9208739 Anti-Serotonin Antibody (1:100) Abcam ab66047 Anti-Somatostatin Antibody (1:100) R&D Systems mab2358 APC anti-human β2-microglobulin Antibody (1:25) Biolegend 316311 APC anti-human CD298 Antibody (1:25) Biolegend 341706 PE-conjugated Anti-Chromogranin antibody (1:100) BD Biosciences 564563 PE-conjugated Mouse IgG1 kappa Isotype Control Antibody BD Biosciences 554680 (1:200) TotalSeq ™-B0251 anti-human Hashtag 1 Antibody (1:25) Biolegend 394631 TotalSeq ™-B0252 anti-human Hashtag 2 Antibody (1:25) Biolegend 394633 TotalSeq ™-B0253 anti-human Hashtag 3 Antibody (1:25) Biolegend 394635 TotalSeq ™-B0254 anti-human Hashtag 4 Antibody (1:25) Biolegend 394637 TotalSeq ™-B0255 anti-human Hashtag 5 Antibody (1:25) Biolegend 394639 TotalSeq ™-B0256 anti-human Hashtag 6 Antibody (1:25) Biolegend 394641 TotalSeq ™-B0257 anti-human Hashtag 7 Antibody (1:25) Biolegend 394643 TotalSeq ™-B0258 anti-human Hashtag 8 Antibody (1:25) Biolegend 394645 TotalSeq ™-B0259 anti-human Hashtag 9 Antibody (1:25) Biolegend 394647 Secondary Antibodies Donkey anti-Goat IgG (H + L) Cross-Adsorbed Secondary Invitrogen A-11055 Antibody, Alexa Fluor 488 (1:400) Donkey anti-Mouse IgG (H + L) Cross-Adsorbed Secondary Invitrogen A-21202 Antibody, Alexa Fluor 488 (1:400) Donkey anti-Mouse IgG (H + L) Cross-Adsorbed Secondary Invitrogen A-31571 Antibody, Alexa Fluor 647 (1:400) Donkey anti-Rabbit IgG (H + L) Cross-Adsorbed Secondary Invitrogen A-31573 Antibody, Alexa Fluor 647 (1:400) Donkey anti-Rat IgG (H + L) Cross-Adsorbed Secondary Invitrogen A-21208 Antibody, Alexa Fluor 488 (1:400) Chemicals and Enzymes 4′,6-diamidino-2-phenylindole (DAPI) Thermo Fisher Scientific D1306 A-8301 Millipore Sigma SML0788 AS1842856 Millipore Sigma 344355 B-27 Supplement Thermo Fisher Scientific 12587010 Betacellulin Peprotech 100-50 Bovine serum albumin Millipore Sigma 05470-1G Cell Recovery Solution Corning 354253 Cell Staining Buffer Biolegend 420201 Collagenase Type I Thermo Fisher Scientific 17018029 DAPT Selleckchem S2215 Diprotin A Tocris 6019 Advanced DMEM/F12 Thermo Fisher Scientific 12634028 DMEM Ca2+ Free Thermo Fisher Scientific 21068-028 RNAse Inhibitor Thermo Fisher Scientific N8080119 EGF, Recombinant Murine Peprotech 315-09 Fetal Bovine Serum Certified USA Origin Thermo Fisher Scientific 16000044 Forskolin Tocris 1099 Gastrin I [Leu15], Human Millipore Sigma G9145 GlutaMAX Thermo Fisher Scientific 35050061 HEPES Thermo Fisher Scientific 15630080 Matrigel ®, growth factor reduced, phenol red-free Corning 356231 N-2 Supplement Thermo Fisher Scientific 17502001 N-Acetyl-cysteine Millipore Sigma A7250 Nicotinamide Millipore Sigma N0636 Noggin, Recombinant Murine Peprotech 250-38 Normocin Invivogen ant-nr-2 Paraformaldehyde, 32% Electron Microscopy 15714-S Sciences (VWR) PF-06260933 Millipore Sigma PZ0272 Primocin Invivogen ant-pm-2 Prolong Gold Antifade Mountant Thermo Fisher Scientific P36930 Prostaglandin-E2 Millipore Sigma P0409 Rimonabant Millipore Sigma SML0800 SB202190 Millipore Sigma S7067 SP600125 Millipore Sigma S5567 Tranylcypromine Tocris 3852 TRI Reagent ® Millipore Sigma T9424-200ML Triton X-100 Millipore Sigma T8787-50ML TruStain FcX ™ (Fc Receptor Blocking Solution), Human Biolegend 422301 TrypLE ™ Express Thermo Fisher Scientific 12605-010 Tubastatin-A Selleckchem S8049 Y-27632 dihydrochloride Tocris 1254 Commercial Assays 3′ Feature Barcode Kit, 16rxn Dual Indexing Compatible 10X Genomics 1000269 Click-IT EdU Alexa Fluor 488 Flow Cytometry Assay Kit Thermo Fisher Scientific C10420 Chromium NextGem Chip G Single Cell Kit 10X Genomics 1000127 Chromium Next Gem Single Cell 3′ GEM, Library and Gel 10X Genomics 1000269 Bead Kit v3.1, 4rxn Dual Index Compatible Dead Cell Apoptosis Kit with Annexin V Alexa Fluor 488 & Thermo Fisher Scientific V13241 Propidium Iodide Dead Cell Removal Kit Miltenyi Biotec 130-090-101 Direct-zol RNA Microprep Kit Zymo Research R2061 High-Capacity cDNA Reverse Transcription Kit Thermo Fisher Scientific 4368813 Human GIP (total) ELISA Kit Millipore Sigma EZHGIP-54K Human GLP-1 (7-36) ELISA Kit Abcam Ab184857 Human PYY ELISA Kit Abcam Ab255727 Human Serotonin ELISA Assay Kit Eagle Biosciences/DLD SER39-K01 Diagnostika GmbH TaqMan ™ Universal PCR Master Mix Thermo Fisher Scientific 4304437
OTHER EMBODIMENTS
[0268] From the foregoing description, it will be apparent that variations and modifications may be made to the invention described herein to adopt it to various usages and conditions. Such embodiments are also within the scope of the following claims.
[0269] The recitation of a listing of elements in any definition of a variable herein includes definitions of that variable as any single element or combination (or subcombination) of listed elements. The recitation of an embodiment herein includes that embodiment as any single embodiment or in combination with any other embodiments or portions thereof.
[0270] All patents and publications mentioned in this specification are herein incorporated by reference to the same extent as if each independent patent and publication was specifically and individually indicated to be incorporated by reference.