METHODS FOR INCREASING FETAL HEMOGLOBIN CONTENT IN EUKARYOTIC CELLS AND USES THEREOF FOR THE TREATMENT OF HEMOGLOBINOPATHIES
20220033856 · 2022-02-03
Inventors
Cpc classification
C12N2310/20
CHEMISTRY; METALLURGY
C12N15/111
CHEMISTRY; METALLURGY
C12N9/22
CHEMISTRY; METALLURGY
C12N2800/80
CHEMISTRY; METALLURGY
C12N15/11
CHEMISTRY; METALLURGY
A61K35/28
HUMAN NECESSITIES
International classification
C12N15/90
CHEMISTRY; METALLURGY
A61K35/28
HUMAN NECESSITIES
C12N15/11
CHEMISTRY; METALLURGY
Abstract
The clinical severity of β-hemoglobinopathies is alleviated by the co-inheritance of genetic mutations causing a sustained fetal γ-globin chain production at adult age, a condition termed hereditary persistence of fetal hemoglobin (HPFH). Here, the inventors have compared the extent of fetal hemoglobin (HbF) de-repression following CRISPR/Cas9-mediated targeting of different regions of the HBG1 and HBG2 promoters in an adult erythroid cell line (HUDEP-2). They achieved a potent and pancellular HbF re-activation upon disruption of binding sites for γ-globin repressors located in both HBG1 and HBG2 genes. They validated these findings in Red Blood Cells (RBCs) derived from genome edited Sickle Cell Disease (SCD) patient hematopoietic stem/progenitor cells. Overall, this study identified a binding site for an HbF repressor as a novel and potent target for the treatment of β-hemoglobinopathies. Accordingly, the present invention relates to a method for increasing fetal hemoglobin content in a eukaryotic cell comprising the step of disrupting the binding site for Leukemia/lymphoma-related factor (LRF) in the HBG1 or HBG2 promoter.
Claims
1. A method for increasing fetal hemoglobin content in a eukaryotic cell comprising the step of disrupting the binding site for Leukemia/lymphoma-related factor (LRF) in the HBG1 or HBG2 promoter.
2. The method of claim 1 wherein the eukaryotic cell is selected from the group consisting of hematopoietic progenitor cells, hematopoietic stem cells (HSCs), and pluripotent cells.
3. The method of claim 1 which comprises contacting the eukaryotic cell with an effective amount of a DNA-targeting endonuclease whereby the DNA-targeting endonuclease cleaves the genomic DNA of the cell in at least one position located in or close to the binding site for Leukemia/lymphoma-related factor (LRF) in the HBG1 or HBG2 promoter.
4. The method of claim 3 wherein the DNA-targeting endonuclease leads to the genome editing of the −200 region in the HBG1 or HBG2 promoter.
5. The method of claim 3 wherein the DNA targeting endonuclease cleaves the genomic sequence between positions −198 and −197 in the HBG1 or HBG2 promoter wherein positions −198 and −197 correspond to positions 13 and 14 in SEQ ID NO:1, or between positions −197 and −196 in the HBG1 or HBG2 wherein positions −197 and −196 correspond to positions 14 and 15 in SEQ ID NO:1, or between positions −196 and −195 in the HBG1 or HBG2 promoter wherein positions −196 and −195 correspond to positions 15 and 16 in SEQ ID NO:1.
6. The method of claim 3 wherein the DNA targeting endonuclease is a TALEN or a ZFN.
7. The method of claim 3 wherein the DNA targeting endonuclease is a CRISPR-associated endonuclease.
8. The method of claim 7 wherein the CRISPR-associated endonuclease is a Cas9 nuclease or is Cpf1 nuclease or any variant of these nucleases.
9. The method of claim 7 which comprises the step of contacting the eukaryotic cell with an effective amount of the CRISPR-associated endonuclease and with one or more guide RNAs.
10. The method of claim 9 wherein the one or more guide RNAs comprises: the spacer sequence as set forth in SEQ ID NO: 2 (5′ AUUGAGAUAGUGUGGGGAAG 3′) for recruiting the CRISPR-associated endonuclease to the HBG1 and HBG2 promoters and generating double-strand breaks between positions −198 and −197 wherein positions −198 and −197 correspond to positions 13 and 14 in SEQ ID NO:1, or the spacer sequence as set forth in SEQ ID NO: 3 (5′ CAUUGAGAUAGUGUGGGGAA 3′) for recruiting the CRISPR-associated endonuclease to the HBG1 and HBG2 promoters and generating double-strand breaks between positions −197 and −196 wherein positions −197 and −196 correspond to positions 14 and 15 in SEQ ID NO:1, or the spacer sequence as set forth in SEQ ID NO: 4 (5′ GCAUUGAGAUAGUGUGGGGA 3′) for recruiting the CRISPR-associated endonuclease to the HBG1 and HBG2 promoters and generating double-strand breaks between positions −195 and −196 wherein positions −195 and −196 correspond to positions 15 and 16 in SEQ ID NO:1.
11. The method of claim 10 wherein the CRISPR-associated endonuclease is pre-complexed with a guide RNA to form a ribonucleoprotein (RNP) complex.
12. A method for increasing fetal hemoglobin levels in a subject in need thereof, the method comprising administering to the subject a therapeutically effective amount of a population of eukaryotic cells obtained by the method according to claim 1.
13. The method of claim 12 wherein the subject suffers from sickle cell disease or β-thalassemia.
14. A kit of parts comprising i) a CRISPR-associated endonuclease and ii) a guide RNA that comprises the sequence as set forth in SEQ ID NO:2, SEQ ID NO:3, or SEQ ID NO:4.
15. A method for the treatment of a hemoglobinopathy in a subject in need thereof, comprising, administering to the subject a therapeutically effective amount of a population of eukaryotic cells obtained by the method according to claim 1.
16. The method of claim 2 wherein the pluripotent cells are embryonic stem cells (ES) or induced pluripotent stem cells (iPS).
Description
FIGURES
[0057]
[0058]
[0059]
EXAMPLE
[0060] Methods
[0061] Plasmid Construction
[0062] We used the CRISPOR webtool.sup.12 to design gRNAs targeting the −200 and −158 HBG promoters. Double strand oligonucleotides containing the gRNA sequences were cloned into MA128 plasmid (provided by Dr. Mario Amendola, Genethon, France) using the BbsI restriction enzyme. The gRNA target sequences are listed below (PAM motif in bold).
TABLE-US-00002 gRNA Target sequence name (5′ to 3′) Strand AAVS1 GGGGCCACTAGGGACAGGATTGG − −197 ATTGAGATAGTGTGGGGAAGGGG + −196 CATTGAGATAGTGTGGGGAAGGG + −195 GCATTGAGATAGTGTGGGGAAGG + −158 TATCTGTCTGAAACGGTCCCTGG − −152 CCATGGGTGGAGTTTAGCCAGGG + −151 CCCATGGGTGGAGTTTAGCCAGG + −115 CTTGTCAAGGCTATTGGTCAAGG +
[0063] Cell Line Culture
[0064] K562 were maintained in RPMI 1640 medium (Lonza) containing glutamine and supplemented with 10% fetal bovine serum (Lonza), HEPES (LifeTechnologies), sodium pyruvate (LifeTechnologies) and penicillin and streptomycin (LifeTechnologies). HUDEP-2.sup.13 cells were cultured and differentiated, as previously described.sup.14. Flow cytometry analysis of CD36, CD71 and GYPA expression and a standard May-Grumwald Giemsa staining were performed to evaluate the cell morphology.
[0065] Cell Line Transfection
[0066] K562 and HUDEP-2 cells were transfected with 4 μg of a Cas9-GFP expressing plasmid (pMJ920, Addgene) and 0.8 and 1.6 μg of gRNA-containing plasmid for K562 and HUDEP-2 transfections, respectively. We used AMAXA Cell Line Nucleofector Kit V (VCA-1003) for K562 and HUDEP-2 (U-16 and L-29 programs, respectively). GFP.sup.+ HUDEP-2 cells were sorted using SH800 Cell Sorter (Sony Biotechnology).
[0067] HSPC Purification and Culture
[0068] We obtained human cord blood CD34.sup.+ HSPCs from healthy donors. Human adult SCD CD34.sup.+ HSPCs were isolated from Plerixaflor mobilized SCD patients (NCT 02212535 clinical trial, Necker Hospital, Paris, France). Written informed consent was obtained from all adult subjects. All experiments were performed in accordance with the Declaration of Helsinki. The study was approved by the regional investigational review board (reference: DC 2014-2272, CPP Ile-de-France II “Hôpital Necker-Enfants malades”). HSPCs were purified by immuno-magnetic selection with AutoMACS (Miltenyi Biotec) after immunostaining with CD34 MicroBead Kit (Miltenyi Biotec).
[0069] 48h prior to transfection, CD34.sup.+ cells (10.sup.6 cells/ml) were thawed and cultured in StemSpan (StemCell Technologies) supplemented with penicillin/streptomycin (Gibco) and the following recombinant human cytokines (Peprotech): 300 ng/mL SCF, 300 ng/mL Flt-3L, 100 ng/mL TPO and 60 ng/mL IL3, and StemRegenin1 at 250 nM (StemCell Technologies).
[0070] HSPC Transfection
[0071] The non-chemically-modified gRNA was composed of a tracrRNA (IDT) and a custom crRNA (IDT) assembled at 95° C. for 5 min in equimolar concentrations to produce a 180 μM duplex cr:tracrRNA guide. Chemically modified synthetic single gRNAs (sgRNAs) harboring 2′-O-methyl analogs and 3′-phosphorothioate non-hydrolysable linkages at the first three 5′ and 3′ nucleotides were resuspended at the concentration of 180 μM.
[0072] The cr:tracrRNA or sgRNAs were assembled at room temperature with a purified Cas9 protein at 90 μM (provided by Dr. Concordet) at a ratio 2:1 (gRNA:Cas9) to prepare ribonucleoprotein (RNP) complex. 200,000 human CD34.sup.+ cells were transfected with RNP particles using the P3 Primary Cell 4D-Nucleofector X Kit S (Lonza) and the CA137 program of the AMAXA 4D device (Lonza) with or without 90 μM or 180 μM transfection enhancer (IDT). After transfection, cells were plated at 50,000/mL in the erythroid differentiation medium. 18h after transfection, viability was measured by flow cytometry.
[0073] HSPC Differentiation
[0074] Transfected human HSPCs were differentiated to mature RBCs using a 3-step protocol.sup.15. From days 0 to 6, cells were grown in a basal erythroid medium supplemented with the following recombinant human cytokines: 100 ng/mL SCF (Peprotech), 5 ng/mL IL3 (Peprotech), and 3 IU/mL of EPO Eprex (Janssen-Cilag), and hydrocortisone (Sigma) at 10.sup.−6 M. From days 6 to 9, cells were cultured onto a layer of murine stromal MS-5 cells in basal erythroid medium supplemented only with 3 IU/mL EPO Eprex. Finally, from days 9 to 20, cells were cultured on a layer of MS-5 cells in basal erythroid medium but without cytokines.
[0075] Erythroid differentiation was monitored by May Grunwald-Giemsa staining, flow cytometry analysis of the erythroid surface markers CD36, CD71 and GYPA (CD36-V450, BD Horizon), CD71 (CD71-FITC, BD Pharmingen) and GYPA (CD235a-PECY7, BD Pharmingen). We used the nuclear dye DRAQ5 (eBioscience) to evaluate the proportion of enucleated RBCs. Flow cytometry analyses were performed using the Gallios analyzer and Kaluza software (Beckman-Coulter).
[0076] FACS Sorting of HSPC Populations
[0077] 10.sup.6 healthy donor CB-derived CD34+ HSPCs were transfected as described above and plated at a concentration of 500,000/mL in StemSpan (StemCell Technologies) supplemented with penicillin/streptomycin (Gibco), 250 nM StemRegenin1 (StemCell Technologies) and the following recombinant human cytokines (Peprotech): 300 ng/mL SCF, 300 ng/mL Flt-3L, 100 ng/mL TPO and 60 ng/mL IL3. 18h after transfection, cells were stained with antibodies recognizing CD34 (CD34 PE-Cy7, 348811, BD Pharmingen), CD133 (CD133 PE, 130-113-748, Miltenyi Biotech) and CD90 (CD90 PE-Cy5, 348811, BD Pharmingen). Cells were sorted using FACSAria II (BD Biosciences). Sorted and unsorted populations were cultured at a concentration of 5×105/mL in cytokine-enriched medium (described above) for 4 days before collection for DNA extraction.
[0078] CFC Assay
[0079] The number of hematopoietic progenitors was evaluated by clonal colony-forming cell (CFC) assay. HSPCs were plated at a concentration of 1×10.sup.3 cells/mL in methylcellulose-containing medium (GFH4435, Stem Cell Technologies) under conditions supporting erythroid and granulo-monocytic differentiation. BFU-E and CFU-GM colonies were scored after 14 days. BFU-Es and CFU-GMs were randomly picked and collected as bulk populations (containing at least 25 colonies) or as individual colonies (35 to 45 colonies per sample) to evaluate genome editing efficiency.
[0080] PCR-Based Assays for Detection of Genome Editing Events
[0081] Genome editing was analyzed in HUDEP-2 cells at day 0 and day 9 of erythroid differentiation, and in cord blood and adult mobilized HSPC-derived erythroid cells at day 6 and day 14 of erythroid differentiation, respectively. Genomic DNA was extracted from control and edited cells using PURE LINK Genomic DNA Mini kit (LifeTechnologies) following manufacturer's instructions. To evaluate non-homologous end-joining (NHEJ) efficiency at gRNA target sites, we performed PCR followed by Sanger sequencing and TIDE analysis (Tracking of InDels by Decomposition).sup.16.
[0082] InDels events were detected using the following primers:
TABLE-US-00003 Ampli- Ampli- con fied size region F/R Sequence 5′-3′ (bp) HBG1 + F AAAAACGGCTGACAAAAGAAGTCCTGGTAT 384 HBG2 (SEQ ID NO: 5) promo- R ATAACCTCAGACGTTCCAGAAGCGAGTGTG ters (SEQ ID NO: 6) HBG1 F TACTGCGCTGAAACTGTGGC 678 promo- (SEQ ID NO: 7) ter R GGCGTCTGGACTAGGAGCTTATTG (SEQ ID NO: 8) HBG2 F GCACTGAAACTGTTGCTTTATAGGAT 676 promo- (SEQ ID NO: 9) ter R GGCGTCTGGACTAGGAGCTTATTG (SEQ ID NO: 10) AAVS1 F CAGCACCAGGATCAGTGAAA 481 (SEQ ID NO: 11) R CTATGTCCACTTCAGGACAGCA (SEQ ID NO: 12) F, forward primer; R, reverse primer.
[0083] RT-qPCR Analysis of Globin Transcripts
[0084] Total RNA was extracted from differentiated HUDEP-2 (day 9) and in primary mature SCD erythroblasts (day 13) using RNeasy micro kit (QIAGEN) following manufacturer's instructions. Mature transcripts were reverse-transcribed using SuperScript First-Strand Synthesis System for RT-qPCR (Invitrogen) with oligo (dT) primers. RT-qPCR was performed using iTaq universal SYBR Green master mix (Biorad). RT-qPCR plates were run on Viia7 Real-Time PCR system (ThermoFisher Scientific). Primer sequences used for RT-qPCR are listed below.
TABLE-US-00004 HBA F 5′-CGGTCAACTTCAAGCTCCTAA-3′ (SEQ ID NO: 13) R 5′-ACAGAAGCCAGGAACTTGTC-3′ (SEQ ID NO: 14) HBB F 5′-GCAAGGTGAACGTGGATGAAGT-3′ (SEQ ID NO: 15) R 5′-TAACAGCATCAGGAGTGGACAGA-3′ (SEQ ID NO: 16) HBG1 + F 5′-CCTGTCCTCTGCCTCTGCC-3′ HBG2 (SEQ ID NO: 17) R 5′-GGATTGCCAAAACGGTCAC-3′ (SEQ ID NO: 18) HBD F 5′-CAAGGGCACTTTTTCTCAG-3′ (SEQ ID NO: 19) R 5′-AATTCCTTGCCAAAGTTGC-3′ (SEQ ID NO: 20) F, forward primer; R, reverse primer.
[0085] Reverse Phase (RP) HPLC Analysis of Globin Chains
[0086] RP-HPLC analysis was performed using a NexeraX2 SIL-30AC chromatograph (Shimadzu) and the LC Solution software. Globin chains were separated by HPLC using a 250×4.6 mm, 3.6 μm Aeris Widepore column (Phenomenex). Samples were eluted with a gradient mixture of solution A (water/acetonitrile/trifluoroacetic acid, 95:5:0.1) and solution B (water/acetonitrile/trifluoroacetic acid, 5:95:0.1). The absorbance was measured at 220 nm.
[0087] Cation-Exchange HPLC Analysis of Hemoglobin Tetramers
[0088] Cation-exchange HPLC analysis was performed using a NexeraX2 SIL-30AC chromatograph (Shimadzu) and the LC Solution software. Hemoglobin tetramers were separated by HPLC using a 2 cation-exchange column (PolyCAT A, PolyLC, Coulmbia, Md.). Samples were eluted with a gradient mixture of solution A (20 mM bis Tris, 2 mM KCN, pH=6.5) and solution B (20 mM bis Tris, 2 mM KCN, 250 mM NaCl, pH=6.8). The absorbance was measured at 415 nm.
[0089] Flow Cytometry Analysis
[0090] We labeled HUDEP-2 and HSPC-derived RBCs with antibodies against CD36 (CD36-V450, BD Horizon), CD71 (CD71-FITC, BD Pharmingen) and CD235a (CD235a-APC, BD Pharmingen; CD235a-PECY7, BD Pharmingen) surface markers. Differentiated HUDEP-2 and HSPC-derived RBCs were fixed and permeabilized using BD Cytofix/Cytoperm solution (BD Pharmingen) and stained with antibodies recognizing HbF (HbF-APC, MHF05, Life Technologies and HbF FITC, 552829, BD Pharmingen). We performed flow cytometry analyses using Fortessa X20 flow cytometer (BD Biosciences) and Gallios (Beckman Coulter).
[0091] Chromatin Immunoprecipitation (ChIP) Assay
[0092] After 5 days of differentiation, −197 and AAVS1 HUDEP-2 bulk populations were collected for ChIP assays. ChIP experiments were performed as previously described.sup.6. Briefly, chromatin was crosslinked for 10 minutes at room temperature with 1% formaldehyde-containing medium. Nuclear extracts were sonicated using the Bioruptor Pico Sonication System (Diagenode). The equivalent of 2 million cells crosslinked DNA was pulled down at 4° C. overnight using an antibody (1 μg per million cells) against H3K27Ac (ab4729, Abcam) or control IgG (Rabbit, sc-2025, Santa Cruz). Chromatin crosslinking was then reversed at 65° C. for at least 4 hours and DNA was purified (QIAquick PCR purification kit, QIAGEN). Quality check of the fragments generated was carried out using the Agilent Bioanalyzer. We used quantitative SYBR Green PCR (Applied Biosystems) to evaluate H3K27Ac at different genomic loci. qPCR experiments were performed on Viia7 Real-Time PCR system (ThermoFisher Scientific). Primers are listed below.
TABLE-US-00005 HBB F 5′-TGCTCCTGGGAGTAGATTGG-3′ (SEQ ID NO: 21) R 5′-TGGTATGGGGCCAAGAGATA-3′ (SEQ ID NO: 22) HBG F 5′-ACAAGCCTGTGGGGCAAGGTG-3′ (SEQ ID NO: 23) R 5′-GCCAGGCACAGGGTCCTTCC-3′ (SEQ ID NO: 24) F, forward primer; R, reverse primer.
[0093] Sickling Assay
[0094] In vitro-generated SCD RBCs were exposed to an oxygen-deprived atmosphere (5 and 0% O.sub.2), and the time course of sickling was monitored in real time by video microscopy, capturing images every 20 minutes using the AxioObserver Z1 microscope (Zeiss) and a 20× objective. Images of the same fields were taken throughout all stages and processed with ImageJ to determine the percentage of non-sickled RBCs per field of acquisition in the total RBC population.
[0095] Statistics
[0096] All statistical analyses were performed using Unpaired t tests with Prism4 software (GraphPad). The threshold for statistical significance was set to P<0.05.
[0097] Results
Example 1
[0098] Targeting Multiple Regions in the HBG Promoters Induces HbF Expression in Adult HUDEP-2 Erythroid Cells
[0099] HPFH mutations and SNPs associated with high HbF levels have been described in multiple regions of the HBG promoters (−200, −158 and −115;
[0100] We next employed the adult HUDEP-2 cell line, expressing low levels of HbF, to evaluate HbF de-repression following disruption of the −200, −158 and −115 nt regions upstream of the HBG TSSs. Of note, sequencing of the HBG promoters in HUDEP-2 cells revealed the presence of a −158 T>C heterozygous SNP in the HBG2 promoter (data not shown).
[0101] After plasmid transfection, Cas9-GFP.sup.+ HUDEP-2 cells were sorted and differentiated in mature erythroblasts. The editing rate was similar at day 0 and day 9 of erythroid differentiation, showing no counter-selection of genome edited cells during erythroid maturation (data not shown). Overall, the genome editing efficiency in cells differentiated from Cas9-GFP.sup.+ HUDEP-2 was >77% for all samples, with the exception of −158 gRNA, whose cleavage efficiency was 50%±4% (data not shown). Of note, using this gRNA we obtained a significantly higher editing frequency at the HBG1 promoter, compared to the HBG2 promoter (68%±1% vs 40%±6%; data not shown). The presence of a −158 T>C heterozygous SNP in the HBG2 promoter likely reduce the binding of the −158 gRNA recognizing the wild-type promoter and therefore that could contribute to the overall lower disruption efficiency at the −158 site. Similar editing rates at HBG2 and HBG1 promoters were obtained with the other gRNAs (data not shown). As expected.sup.7, one third of InDels generated using the −115 gRNA were 13-nt deletions (data not shown).
[0102] Deep sequencing of PCR-amplified HBG promoters in −197-edited samples allowed a quantitative detection of the mutations generated upon delivery of the CRISPR/Cas9 system. The most prevalent InDels were 4-nt [CCCC], 6-nt [TTCCCC] and 2-nt [CC] deletions and 1-nt [C] insertion. Importantly, the LRF binding site described by Martyn and colleagues.sup.2, was disrupted in all the alleles (data not shown).
[0103] Editing of the HBG promoters did not alter the erythroid cell expansion (data not shown) or differentiation, as assessed by morphological analysis (data not shown) and flow cytometry analysis of GYPA, CD71 and CD36 erythroid markers (data not shown). Concordantly, in silico evaluation of the putative off-target activity of all the gRNAs revealed that none of the predicted off-targets fall within coding regions of genes involved in RBC maturation or physiology (data not shown).
[0104] γ-globin expression was then assessed in control and HBG-edited differentiated HUDEP-2 cells. Disruption of the −200 region led to an increased production of γ-globin transcripts, paralleled by a decreased synthesis of adult β-globin and δ-globin mRNAs (
[0105] Flow cytometry analysis of the differentiated HUDEP-2 samples targeted with the −197, −196 and −195 gRNAs revealed almost pancellular HbF expression (79%±1%, 71%±1% and 78%±1% of cells expressing HbF, respectively [F-cells], P<0.0001 compared to AAVS1 controls). Similar results were obtained upon targeting of the −115 region (71%±3%, P<0.0001), and an average of 43%±5% (P=0.005) of F-cells were observed in the −158-edited samples (
[0106] Reverse-phase HPLC showed that disruption of the −200 region led to the highest γ-globin chain levels. .sup.Gγ- and .sup.Aγ-globin chains accounted for up to 28%±1% of α-globin chain in samples edited with the −197 gRNA, showing a highly significant increase from the basal γ-globin chain levels detected in the AAVS1 control sample (0.3%±0.3%, P<0.0001) (
[0107] To assess the epigenetic modifications induced by the disruption of LRF binding site, we performed ChIP experiments for H3K27 acetylation (H3K27Ac), a chromatin mark associated with active regulatory regions, in −197 and in control AAVS1 HUDEP-2 cells. We detected higher H3K27Ac at the HBG genes in −197 edited cells compared to controls (
[0108] Targeting of the HBG Promoters Up-Regulates HbF in SCD Patient-Derived RBCs
[0109] As plasmid delivery in primary cells is associated with high cell toxicity, we developed a ribonucleoprotein (RNP)-based, selection free strategy to efficiently edit the HBG promoters in HSPCs with a minimal impact on the cell viability. To this purpose, we assembled Cas9 protein with the −197 gRNAs with or without 2′-O-methyl analogs and 3′-phosphorothioate non-hydrolysable linkages at the first three 5′ and 3′ nucleotides. Delivery of RNP complexes containing Cas9 and the chemically modified −197 gRNA in cord blood-derived HSPCs increased the genome editing efficiency from 11% to 32%, as compared to the delivery of the non-modified −197 gRNA (data not shown). Genome editing efficiency was further improved by the addition of a transfection enhancer oligonucleotide, at the doses of 90 μM and 180 μM. Similar results were obtained with the −196 and −195 chemically modified gRNAs. The highest genome editing frequency was achieved with the combination of chemically modified gRNAs and 90 μM of the enhancer, leading to a cleavage efficiency of 80%, 72% and 84% with the −197, −196 and −195 gRNAs, respectively (data not shown). A good cell viability was observed using these transfection conditions, as compared to the untransfected control (data not shown).
[0110] Plerixafor-mobilized SCD HSPCs were transfected with RNP particles containing the −197, −158 or −115 gRNAs targeting the HBG promoters or the control AVVS1 gRNA. Following erythroid expansion, the genome editing efficiency was assessed in mature erythroblasts, and reached 87-88% in all the edited samples (
[0111] In HBG-edited primary erythroblasts, qRT-PCR analysis showed an increase in γ-globin expression, which was more pronounced in the −197 sample (˜10-fold) where γ-globin mRNA accounted for ˜50% of the total β-like globin mRNAs (
[0112] To assess the effect of the HbF reactivation induced by the editing of the HBG promoters, we performed an in vitro deoxygenation assay inducing the sickling of RBCs derived from patient HSPCs. Upon deoxygenation, the majority of the control RBCs rapidly acquired a sickle morphology (
Example 2
[0113] We then compared the activity of 3 gRNAs targeting the LRF binding site in CD34.sup.+ HSPCs obtained from SCD patients by plerixafor mobilization. SCD HSPCs were transfected with RNP complexes containing either the gRNAs targeting the HBG promoters or the control AAVS1 gRNA. Following erythroid differentiation, genome editing efficiency in mature erythroblasts achieved values of ≥80% in cells transfected with −197, −196, −195 and −115 gRNAs (data not shown). Editing frequency with the −158 gRNA was variable because of the presence of the C>T SNP at that position in a fraction of the SCD donors (data not shown). Genome editing efficiency was similar between the HBG2 and HBG1 promoters except for samples harboring the −158 SNP and treated with the −158 gRNA (data not shown).
[0114] Control and edited SCD HSPCs were plated in clonogenic cultures (colony forming cell [CFC] assay) allowing the growth of erythroid (BFU-E) and granulomonocytic (CFU-GM) progenitors. Genome editing efficiency was comparable in pooled BFU-Es and CFU-GMs that showed a similar InDel profile (data not shown). Clonal analysis of single CFCs revealed that >85% of hematopoietic progenitors were edited at the target sites, with ˜86% and ˜67% of BFU-Es and CFU-GMs, respectively, displaying ≥3 edited HBG promoters (data not shown). Transfection with the full RNP complex reduced the number of hematopoietic progenitors by 10 to 50% compared to transfection of Cas9 protein alone (data not shown).
[0115] Previous reports suggested that HSCs, the target of therapeutic genome editing, are preferentially edited via the NHEJ mechanism.sup.39,40. On the contrary, MMEJ repair pathway, which takes place through annealing of short stretches of identical sequence flanking the double-strand break (DSB), may be less active.sup.39,40. Therefore, for each gRNA we evaluated the frequency of mutations with or without microhomology (MH)-motifs as a proxy for the relative contribution of MMEJ- and NHEJ-mediated events. Amongst the editing events, deletions were predominant, and a variable fraction of them (30% to 50%) was associated with the presence of MH-motifs in the target sequence (data not shown).). In particular, MMEJ events at the LRF binding site were caused by the presence of two stretches of 4 cytidines (
[0116] To evaluate HbF reactivation and correction of the SCD cell phenotype upon HBG promoter editing, SCD HSPCs were terminally differentiated into enucleated RBCs. Editing of the HBG promoters did not affect erythroid differentiation, as evaluated by flow cytometry analysis of stage-specific erythroid markers and RBC enucleation, and by morphological analysis (data not shown). Editing of the −200 region led to increased levels of γ-globin mRNAs, which accounted for 48±3% of total β-like globin transcripts in cells transfected with the −197 gRNA (data not shown). The proportion of F-cells in cells transfected with the −197, −196 and −195 gRNAs was 81±1%, 74±2% and 74±2%, respectively (data not shown). Analysis of −197- and −196-edited erythroblasts sorted by cytofluorimetry based on the intensity of HbF expression revealed a positive correlation between InDel frequency and extent of γ-globin production, indicating that the efficacy of HbF reactivation likely increases when targeting a higher number of HBG promoters per cell (data not shown). Editing of the −115 region led to HBG de-repression and a proportion of 80±2% of F-cells, while γ-globin reactivation was less pronounced in the −158 samples (55±5% of F-cells, data not shown). It is noteworthy that for the −158 gRNA, HBG de-repression was still modest in RBCs derived from HSPCs harboring >85% of edited HBG promoters (data not shown), indicating that the −158 region contains a sequence that modestly contributes to inhibition of γ-globin expression in adult cells. This is consistent with the mild increase in HbF known to be associated with the −158 SNPs. RP-HPLC showed a significant increase in γ-globin chain expression and a reciprocal reduction in βS-globin levels in the RBC progeny of −200 and −115 edited HSPCs, with no evidence of imbalance in the α/non-α globin chain synthesis (data not shown). In −197-edited cells, the increase of γ-globin chains and the reduction of βS-globin levels resulted in an inversion of the β/γ globin ratio. Comparable Aγ- and Gγ-globin levels were detected in most of the samples analyzed. However, in −115-edited cells, HbF was mainly composed of Aγ-globin (data not shown). CE-HPLC confirmed that editing of the −200 region produced an Hb profile comparable to asymptomatic heterozygous carriers, with HbF representing up to 47±3% of the total Hb tetramers (−197 samples; data not shown).
[0117] To assess the effect of HbF reactivation on the sickling phenotype, we performed an in vitro deoxygenation assay that induces sickling of RBCs under hypoxia. At an oxygen concentration of 0%, ˜80% of control SCD RBCs acquired a sickled shape (data not shown). Targeting of the −158 region essentially failed to rescue the SCD phenotype (29±13% of non-sickling RBCs; data not shown). In −115-edited samples, HbF reactivation prevented the sickling of 56±9% of RBCs (data not shown). Interestingly, a marked correction of the SCD phenotype was achieved upon disruption of the LRF binding site, with 69±6% (−196) to 79±7% (−197) of cells that maintained a biconcave shape under hypoxia (data not shown).
[0118] Importantly, even gRNAs generating predominantly 1-2-bp InDels (−195 and −196) induced γ-globin levels that were sufficient to inhibit sickling in a large fraction of RBCS. These results show that editing of the repressor binding sites in the HBG promoters leads to reactivation of HbF sufficient to revert the sickling phenotypes in erythrocytes differentiated from CD34+ HSPCs derived from SCD patients.
[0119] Discussion
[0120] Allogeneic HSC transplantation is the only definitive cure for patients affected by β-thalassemia or SCD. Transplantation of autologous, genetically modified HSCs represents a promising therapeutic option for patient lacking a compatible HSC donor.sup.21. Compared with current lentiviral-based gene addition approaches, therapeutic strategies aimed at forcing a β-to-γ-globin switch have the advantage of guaranteeing high-level expression of the endogenous γ-globin genes and, in the case of SCD, reduction of the β.sup.S-globin synthesis. Knockdown of the transcriptional repressor LRF increases HbF expression but delays erythroid differentiation.sup.6 and therefore is not a safe therapeutic approach. Here, instead of targeting the expression of a transcription factor essential for erythropoiesis, we used a CRISPR/Cas9 strategy to disrupt the cis-regulatory element involved in LRF-mediated fetal globin silencing and mimic the effect of HPFH mutations. By using three different gRNAs targeting the LRF binding site, we achieved a robust, virtually pancellular HbF reactivation and a concomitant reduction in βS-globin levels, recapitulating the phenotype of asymptomatic SCD-HPFH patients.sup.22,23. Notably, a proportion of HbF>30% in 70% of RBCs has been proposed as the minimal requirement to inhibit HbS polymerization and mitigate the clinical SCD manifestations.sup.23. In some edited samples, HbF levels exceeded 40% of total Hb, suggesting that CRISPR/Cas9 mediated disruption of the LRF binding site is even more potent than naturally occurring HPFH point mutations in reactivating HbF expression. RBCs derived from edited HSPCs displayed HbF levels sufficient to significantly ameliorate the SCD cell phenotype. It is noteworthy that this approach can potentially be applied also to β-thalassemias, where elevated fetal γ-globin levels could compensate for β-globin deficiency.
[0121] The development of a selection-free, optimized editing protocol allowed us to obtain a high editing frequency at the LRF binding site in primary human HSPCs and in HSC-enriched cell populations, which, unexpectedly, showed both NHEJ and MMEJ-mediated events. However, similarly to the homology-directed repair (HDR) mechanism.sup.11 (used to correct disease-causing mutations.sup.24, 25, 26), MMEJ repair pathway occurs in actively dividing cells.sup.27. Therefore, we cannot exclude that MMEJ might not be efficient in the quiescent long-term repopulating HSCs.sup.39, 40. Xenotransplantation of HSPCs edited using the gRNAs targeting the LRF binding site in immunodeficient mice.sup.28,29 will allow to assess the editing in long-term repopulating HSCs and the extent of HbF reactivation in their RBC progeny. However, it is noteworthy that even short InDels generated mainly by NHEJ (e.g., −196 gRNA) were productive in terms of HbF de-repression and correction of the SCD cell phenotype, thus showing that this strategy could be effective in bona fide HSCs.
[0122] Should the observed editing frequency be confirmed in long-term repopulating HSCs, this approach would guarantee the efficiency required to achieve clinical benefit in SCD and β-thalassemia. Importantly, the clinical history of allogeneic HSC transplantation for both diseases suggests that a limited fraction of genetically corrected HSCs would be sufficient to achieve a therapeutic benefit given the in vivo selective survival of corrected RBCs or erythroid precursors.sup.30-35. The minimal fraction of genetically modified HSCs would likely depend on the extent of fetal γ-globin expression that could confer a survival advantage to erythroid precursors and mature RBCs.sup.21,22,36. In particular, since our approach generates a heterozygous phenotype, studies on mixed chimerism in SCD patients transplanted with HSCs from a SCD carrier suggest that an HSC genetic modification rate ≥30% would be sufficient to improve the SCD clinical phenotype.sup.32, 34, 35.
[0123] Importantly, disrupting either the LRF or the BCL11A binding site in the HBG promoters induced significant HbF production. Given the independent role of LRF and BCL11A in γ-globin repression.sup.6, combined strategies aimed at evicting simultaneously both repressors from the γ-globin promoters could have an additive effect on HbF reactivation. Albeit a Cas9-nuclease-based strategy targeting both the −115 and the −200 regions would probably trigger the deletion of the −115-to-200 intervening sequence (that would be detrimental for promoter activity.sup.17), this study paves the way for the use of novel DSB-free editing strategies (e.g., base-editing.sup.38) to simultaneously disrupt both LRF and BCL11A repressor binding sites in the γ-globin promoters.
[0124] Overall, our study provides proof of concept for a novel approach to treat SCD by targeting a repressor binding site in the γ-globin promoters to induce de-repression of fetal hemoglobin and a concomitant decrease in HbS synthesis. The same approach could be beneficial also in the case of β-thalassemia, providing a less complex and more economical gene therapy approach compared to the use of lentiviral vectors to deliver a functional β-globin gene.
REFERENCES
[0125] Throughout this application, various references describe the state of the art to which this invention pertains. The disclosures of these references are hereby incorporated by reference into the present disclosure. [0126] 1. Forget, B. G. Molecular basis of hereditary persistence of fetal hemoglobin. Ann. N. Y. Acad. Sci. 850, 38-44 (1998). [0127] 2. Martyn, G. E. et al. Natural regulatory mutations elevate the fetal globin gene via disruption of BCL11A or ZBTB7A binding. Nat. Genet. 50, 498-503 (2018). [0128] 3. Wienert, B. et al. KLF1 drives the expression of fetal hemoglobin in British HPFH. Blood 130, 803-807 (2017). [0129] 4. Wienert, B. et al. Editing the genome to introduce a beneficial naturally occurring mutation associated with increased fetal globin. Nat. Commun. 6, 7085 (2015). [0130] 5. Liu, N. et al. Direct Promoter Repression by BCL11A Controls the Fetal to Adult Hemoglobin Switch. Cell 173, 430-442.e17 (2018). [0131] 6. Masuda, T. et al. Transcription factors LRF and BCL11A independently repress expression of fetal hemoglobin. Science 351, 285-289 (2016). [0132] 7. Traxler, E. A. et al. A genome-editing strategy to treat β-hemoglobinopathies that recapitulates a mutation associated with a benign genetic condition. Nat. Med. 22, 987-990 (2016). [0133] 8. Gilman, J. G. & Huisman, T. H. DNA sequence variation associated with elevated fetal G gamma globin production. Blood 66, 783-787 (1985). [0134] 9. Labie, D. et al. The −158 site 5′ to the G gamma gene and G gamma expression. Blood 66, 1463-1465 (1985). [0135] 10. Galarneau, G. et al. Fine-mapping at three loci known to affect fetal hemoglobin levels explains additional genetic variation. Nat. Genet. 42, 1049-1051 (2010). [0136] 11. Genovese, P. et al. Targeted genome editing in human repopulating haematopoietic stem cells. Nature 510, 235-240 (2014). [0137] 12. Haeussler, M. et al. Evaluation of off-target and on-target scoring algorithms and integration into the guide RNA selection tool CRISPOR. Genome Biol. 17, 148 (2016). [0138] 13. Kurita, R. et al. Establishment of immortalized human erythroid progenitor cell lines able to produce enucleated red blood cells. PloS One 8, e59890 (2013). [0139] 14. Canver, M. C. et al. BCL11A enhancer dissection by Cas9-mediated in situ saturating mutagenesis. Nature 527, 192-197 (2015). [0140] 15. Giarratana, M.-C. et al. Ex vivo generation of fully mature human red blood cells from hematopoietic stem cells. Nat. Biotechnol. 23, 69-74 (2005). [0141] 16. Brinkman, E. K., Chen, T., Amendola, M. & van Steensel, B. Easy quantitative assessment of genome editing by sequence trace decomposition. Nucleic Acids Res. 42, e168 (2014). [0142] 17. Martyn, G. E., Quinlan, K. G. R. & Crossley, M. The regulation of human globin promoters by CCAAT box elements and the recruitment of NF-Y. Biochim. Biophys. Acta 1860, 525-536 (2017). [0143] 18. Pissard, S., M'rad, A., Beuzard, Y. & Romeo, P. H. A new type of hereditary persistence of fetal haemoglobin (HPFH): HPFH Tunisia beta+(+C-200)G gamma. Br. J. Haematol. 95, 67-72 (1996). [0144] 19. Patrinos, G. P., Kollia, P., Loutradi-Anagnostou, A., Loukopoulos, D. & Papadakis, M. N. The Cretan type of non-deletional hereditary persistence of fetal hemoglobin [A gamma-158C->T] results from two independent gene conversion events. Hum. Genet. 102, 629-634 (1998). [0145] 20. Indrak, K. et al. Compound heterozygosity for a beta zero-thalassemia (frameshift codons 38/39; -C) and a nondeletional Swiss type of HPFH (A------C at NT-110, G gamma) in a Czechoslovakian family. Ann. Hematol. 63, 111-115 (1991). [0146] 21 Cavazzana, M., Antoniani, C. & Miccio, A. Gene Therapy for beta-Hemoglobinopathies. Mol Ther 25, 1142-1154, doi:10.1016/j.ymthe.2017.03.024 (2017). [0147] 22 Akinsheye, I. et al. Fetal hemoglobin in sickle cell anemia. Blood 118, 19-27, doi:10.1182/blood-2011-03-325258 blood-2011-03-325258 [pii] (2011). [0148] 23 Steinberg, M. H., Chui, D. H., Dover, G. J., Sebastiani, P. & Alsultan, A. Fetal hemoglobin in sickle cell anemia: a glass half full? Blood 123, 481-485, doi:10.1182/blood-2013-09-528067 (2014). [0149] 24 DeWitt, M. A. et al. Selection-free genome editing of the sickle mutation in human adult hematopoietic stem/progenitor cells. Sci Transl Med 8, 360ra134, doi:10.1126/scitranslmed.aaf9336 (2016). [0150] 25 Hoban, M. D. et al. CRISPR/Cas9-Mediated Correction of the Sickle Mutation in Human CD34+ cells. Mol Ther 24, 1561-1569, doi:10.1038/mt.2016.148 (2016). [0151] 26 Dever, D. P. et al. CRISPR/Cas9 beta-globin gene targeting in human haematopoietic stem cells. Nature 539, 384-389, doi:10.1038/nature20134 (2016). [0152] 27 Truong, L. N. et al. Microhomology-mediated End Joining and Homologous Recombination share the initial end resection step to repair DNA double-strand breaks in mammalian cells. Proceedings of the National Academy of Sciences of the United States of America 110, 7720-7725, doi:10.1073/pnas.1213431110 (2013). [0153] 28 Rahmig, S. et al. Improved Human Erythropoiesis and Platelet Formation in Humanized NSGW41 Mice. Stem Cell Reports 7, 591-601, doi:10.1016/j.stemcr.2016.08.005 (2016). [0154] 29 Fiorini, C. et al. Developmentally-faithful and effective human erythropoiesis in immunodeficient and Kit mutant mice. Am J Hematol 92, E513-E519, doi:10.1002/ajh.24805 (2017). [0155] 30 Franco, R. S. et al. The effect of fetal hemoglobin on the survival characteristics of sickle cells. Blood 108, 1073-1076, doi:10.1182/blood-2005-09-008318 (2006). [0156] 31 Centis, F. et al. The importance of erythroid expansion in determining the extent of apoptosis in erythroid precursors in patients with beta-thalassemia major. Blood 96, 3624-3629 (2000). [0157] 32 Walters, M. C. et al. Stable mixed hematopoietic chimerism after bone marrow transplantation for sickle cell anemia. Biol Blood Marrow Transplant 7, 665-673 (2001). [0158] 33 Miccio, A. et al. In vivo selection of genetically modified erythroblastic progenitors leads to long-term correction of beta-thalassemia. Proceedings of the National Academy of Sciences of the United States of America 105, 10547-10552 (2008). [0159] 34 Altrock, P. M. et al. Mathematical modeling of erythrocyte chimerism informs genetic intervention strategies for sickle cell disease. Am J Hematol 91, 931-937, doi:10.1002/ajh.24449 (2016). [0160] 35 Abraham, A. et al. Relationship between Mixed Donor-Recipient Chimerism and Disease Recurrence after Hematopoietic Cell Transplantation for Sickle Cell Disease. Biol Blood Marrow Transplant 23, 2178-2183, doi:10.1016/j.bbmt.2017.08.038 (2017). [0161] 36 Powars, D. R., Weiss, J. N., Chan, L. S. & Schroeder, W. A. Is there a threshold level of fetal hemoglobin that ameliorates morbidity in sickle cell anemia? Blood 63, 921-926 (1984). [0162] 38 Komor, A. C., Badran, A. H. & Liu, D. R. Editing the Genome Without Double-Stranded DNA Breaks. ACS Chem Biol 13, 383-388, doi:10.1021/acschembio.7b00710 (2018). [0163] 39 Lux, C. T. et al. TALEN-Mediated Gene Editing of HBG in Human Hematopoietic Stem Cells Leads to Therapeutic Fetal Hemoglobin Induction. Molecular therapy. Methods & clinical development 12, 175-183 (2019). [0164] 40 Wu, Y. et al. Highly efficient therapeutic gene editing of human hematopoietic stem cells. Nat Med, doi:10.1038/s41591-019-0401-y (2019).