PHARMACEUTICAL COMPOSITION FOR PREVENTING OR TREATING CANCER, COMPRISING MIR-324 and TUT4/7 EXPRESSION MODULATORS
20210363527 · 2021-11-25
Inventors
Cpc classification
C12N15/113
CHEMISTRY; METALLURGY
A61P35/00
HUMAN NECESSITIES
International classification
C12N15/113
CHEMISTRY; METALLURGY
Abstract
The present invention relates to a pharmaceutical composition for preventing or treating cancer, comprising miR-324 and TUT4/7 expression modulators, wherein the pharmaceutical composition of the present invention can prevent cell division and hinder cancer development by inhibiting the function of TUT4/7, and can increase the amount of miR-324-5p and suppress the function of miR-324-3p.1, and therefore can be effectively used for prevention, treatment, or diagnosis of cancer.
Claims
1. Method of treating cancer, comprising administering to a subject in need thereof a pharmaceutical composition for preventing or treating cancer, the composition comprising a microRNA(miRNA) which is comprising i) a miR-324-5p or an isoform thereof, and ii) a miR-324-3p or an isoform thereof: wherein the i) miR-324-5p comprising the nucleotide sequences of SEQ ID NO: 47 at the 5′ end, and a total of 20 to 24 nucleotide sequences; wherein the ii) miR-324-3p is, a) the first base from the 5′ end may be C or G; b) the first base from the 5′ end is complementary to the 20th base from the 5′ end of the miR-324-5p; and c) the 20th base from the 5′ end may be A, U, or C.
2. The method of claim 1, wherein the microRNA is in the form of a duplex in which i) miR-324-5p or isoform thereof, and the ii) miR-324-3p or isoform thereof are bounded to each other.
3. The method of claim 1, wherein the 5′ end of the i) miR-324-5p or isoform thereof, and the ii) miR-324-3p or isoform thereof bonded to phosphate, respectively.
4. The method of claim 1, wherein the i) miR-324-5p or isoform thereof, comprising the nucleotide sequences of SEQ ID NO: 1 or 32.
5. The method of claim 1, wherein the ii) miR-324-3p or isoform thereof, comprising the nucleotide sequences of SEQ ID NO: 2, 3, or 33.
6. The method of claim 1, wherein the cancer is selected from the group consisting of colon cancer, large intestine cancer, lung cancer, liver cancer, stomach cancer, gallbladder cancer, kidney cancer, uterine cervical cancer, endometrial cancer, ovarian cancer, breast cancer, brain cancer, head and neck cancer, and malignant melanoma.
7. A method of treating cancer, comprising: administering to a subject in need thereof a pharmaceutical composition for preventing or treating cancer, the composition comprising at least one selected from the group consisting of: a nucleic acid composed of the nucleotide sequence of SEQ ID NO: 4; and a small interfering RNA (siRNA) comprising at least one nucleotide sequence selected from the group consisting of SEQ ID NOS: 5 to 20.
8. The method of claim 7, wherein the small interfering RNA is in a duplex form in which: i) a small interfering RNA comprising any one of the nucleotide sequences of SEQ ID NOS: 5 to 8 and a small interfering RNA comprising any one of the nucleotide sequences of SEQ ID NOS: 9 to 12 bind to each other; or ii) a small interfering RNA comprising any one of the nucleotide sequences of SEQ ID NOS: 13 to 16 and a small interfering RNA comprising any one of the nucleotide sequences of SEQ ID NOS: 17 to 20 bind to each other.
9. The method of claim 7, wherein the cancer is selected from the group consisting of encephaloma, colon cancer, large intestine cancer, lung cancer, liver cancer, stomach cancer, esophageal cancer, pancreatic cancer, gallbladder cancer, kidney cancer, bladder cancer, prostate cancer, testis cancer, uterine cervical cancer, endometrial cancer, choriocarcinoma, ovarian cancer, breast cancer, thyroid cancer, brain cancer, head and neck cancer, and malignant melanoma.
10. A method of diagnosing cancer, comprising measuring a level of: i) at least one miRNA selected from the group consisting of miR-324-5p and miR-324-3p.1; or ii) at least one gene mRNA or protein thereof selected from the group consisting of TUT4 (terminal uridylyl transferases 4) and TUT7 (terminal uridylyl transferases 7).
11. The method of claim 10, wherein the measuring step is performed by an agent that measures the level of miRNA; wherein the agent comprises a primer or a probe which bind specifically to the at least one miRNA.
12. The method of claim 10, wherein the measuring step is performed by an agent that measures the level of gene mRNA; wherein the agent for measuring an mRNA level comprises a primer or a probe which bind specifically to at least one mRNA of TUT4 and TUT7.
13. The method of claim 10, wherein the measuring step is performed by an agent that measures the level of protein; wherein the agent for measuring a protein level comprises an antibody binding specifically to at least one protein of TUT4 and TUT7.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
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DETAILED DESCRIPTION
[0108] A better understanding of the present invention may be obtained via the following examples which are set forth to illustrate, but are not to be construed as limiting the present disclosure.
[0109] Throughout the description, “%” used to indicate a concentration of a specific material refers to (weight/weight) % for solid/solid, (weight/volume) % for solid/liquid, and (volume/volume) % for liquid/liquid unless otherwise stated.
Preparation Examples
[0110] 1. AQ-Seq Library
[0111] AQ-seq (bias-minimized sRNA-seq) libraries were constructed using total RNAs from fifteen mouse tissues (Mouse Total RNA Master Panel; Takara) as described in the previous study (Kim et al., 2019).
[0112] Briefly, 5 mg of total RNAs was mixed with 10 fmole of 30 equi-molar spike-in RNAs (miRNA-like non-human/mouse/frog/fish RNAs used for bias evaluation). Small RNAs were enriched by size fractionation by 15% urea-polyacrylamide gel electrophoresis and sequentially ligated to the randomized adaptor at the 3′ and 5′ends. The ligated RNAs were reverse-transcribed using SuperScript III reverse transcriptase (Invitrogen), amplified using Phusion High-Fidelity DNA Polymerase (Thermo Scientific), and subjected to high-throughput sequencing on the MiSeq platform (Illumina)
[0113] 2. High-Throughput Sequencing of miRNA
[0114] Data processing was performed as described in the previous study (Kim et al., 2019) except that reads of the sRNA-seq results from mouse were mapped to the mouse genome (mm10).
[0115] Briefly, the 3′ adaptorwas clipped from the reads using Cutadapt (Martin, 2011). For AQ-seq data, 4-nt degenerate sequences were further removed with FASTX-Toolkit (http-//hannonlab.cshl.edu/fastxtoolkit/). After filtering out short, low-quality, and artifact reads using FASTX-Toolkit, AQ-seq data were aligned to the spike-in sequences, followed by mapping the unaligned reads to the genome next, while the other sRNA-seq data were mapped to the genome using BWA (Li and Durbin, 2009). For a given read, selection was made of an alignment result with the best alignment score allowing a mismatch only at the 3′ end. miRNA annotations were retrieved using miRBase release 21 by the intersect tool in BEDTools (Kozomara and Griffiths-Jones, 2014; Quinlan and Hall, 2010).
[0116] For quantitative analysis of miRNA strand ratios, the most abundant 5′-isomiR was identified for a given mature miRNA in the most abundantly expressed cell line or tissue. Then, the ratio between the top 5′-isomiRs from 5p and 3p was calculated for all of the cell lines or tissues. Non-repetitive miRNA genes of which both strands were annotated in miRBase release 21 were included in this analysis.
[0117] 3. Targetome Analysis
[0118] Results from two modified versions of AGO CLIP-seq (CLEAR-CLIP and CLASH) were analyzed to identify miR-324 targets (Helwak et al., 2013; Moore et al., 2015).
[0119] To begin with, for analysis of CLEAR-CLIP, the 3′ and 5′ adapters were clipped using cutadapt followed by extraction of reads containing miR-324 sequences. Then, the target RNA sequences were mapped to the mouse genome (mm10). Annotations were retrieved using GENCODE release M19 by the intersect tool in BEDTools.
[0120] For analysis of CLASH, the supplementary file of the CLASH data generated by the protocol E4 was used. Target genes of miR-324-3p were subdivided according to the 5′ end of the miR-324-3p sequences.
[0121] 4. Plasmid Construction
[0122] To construct plasmids for expression of wild-type, 5′ pocket mutant Dicer, and 3′ pocket mutant Dicer, the coding sequence of the Dicer reference (RefSeq NM_030621) was amplified with or without mutations introduced in the previous study (Park et al., 2011). The amplified DNAs were subcloned into the pCK-FLAG vector (CMV promoter-driven vector) at the BamHI and XhoI sites using the In-Fusion HD Cloning Kit (Clontech).
[0123] For double stranded RNA-binding domain (dsRBD)-deleted Dicer, the coding region except the sequence corresponding to V1849-Si922 amino acids was amplified and subcloned into the pCK-FLAG vector in the same way.
[0124] For TRBP, the coding sequence of the human TRBP reference (RefSeq NM_134323) was amplified and subcloned into the pcDNA3-Myc vector (Invitrogen) at the BamHI and XhoI sites.
[0125] To construct plasmids for luciferase assay, synthetic DNA oligos containing the three 8mer target sites of either miR-1-3p, miR-324-5p, or miR-324-3p.1 were amplified and inserted into pmiRGLO (Promega) at the XhoI and XbaI sites. The sequences of synthetic DNA oligos and PCR primers are listed in Table 1, below.
TABLE-US-00001 TABLE 1 Name Sequence (5′ -> 3′) 3X miR-1-3p AGTTGTTTCAATCTACTTCCGAACATTCCACGCGCAATCTACT TCCGAACATTCCACGCGCAATCTACTTCCGAACATTCCAAAA CGAGC (SEQ ID NO: 23) 3X miR-324-5p AGTTGTTTCAATCTACTTCCGAGGGATGCACGCGCAATCTAC TTCCGAGGGATGCACGCGCAATCTACTTCCGAGGGATGCAA AACGAGC (SEQ ID NO: 24) 3X miR-324-3p.1 AGTTGTTTCAATCTACTTCCGAGGGGCAGACGCGCAATCTAC TTCCGAGGGGCAGACGCGCAATCTACTTCCGAGGGGCAGAA AACGAGC (SEQ ID NO: 25) miRNA_forward primer CTCGCTAGCCTCGAGAGTTGTTTCAATCTACTTCC (SEQ ID NO: 26) miR-1-3p_reverse primer CAGGTCGACTCTAGAGCTCGTTTTGGAATGTTCGG (SEQ ID NO: 27) miR-324-5p_reverse primer CAGGTCGACTCTAGAGCTCGTTTTGCATCCCTCGG (SEQ ID NO: 28) miR-324-3p.1_reverse primer CAGGTCGACTCTAGAGCTCGTTTTCTGCCCCTCGG (SEQ ID NO: 29)
[0126] 5. Cell Culture and Transfection
[0127] A172 and U87MG were obtained from Korean Cell Line Bank. HEK293T, A172, and U87MG were maintained in DMEM (WELGENE) supplemented with 10% fetal bovine serum (WELGENE). Primary tumor cells derived from a glioblastoma patient (TS13-64) were established from fresh glioblastoma tissue specimens, as approved by the institutional review board of Yonsei University College of Medicine (4-2012-0212,4-2014-0649).
[0128] For tumorsphere culture, TS13-64 cells were grown in DMEM (WELGENE) supplemented with 1X B-27 (Thermo Scientific), 20 ng/mL of bFGF (R&D Systems), and 20 ng/mL of EGF (Sigma-Aldrich) (Kong et al., 2013).
[0129] To knock down TUT4/7, cells were transfected twice with 20˜22 nM siRNAs using the Lipofectamine 3000 reagent (Thermo Scientific) and harvested 4 days after the first transfection.
[0130] For overexpression of Dicer, HEK293T cells were transfected with pCK-FLAG-Dicer using Lipofectamine 3000 and harvested 2 days post transfection.
[0131] To deliver synthetic miRNAs or inhibitors, cells were transfected with 20 nM of synthetic miRNA duplexes or 80 nM of LNA miRNA inhibitors using Lipofectamine 3000 and harvested 2 days post transfection.
[0132] Control siRNA (Accularget negative control siRNA), siRNAs, control miRNA, and synthetic miR-324 duplexes were obtained from Bioneer. Control miRNA inhibitor (miRCURY LNA miRNA inhibitor negative control A) and miR-324 inhibitors (hsa-miR-324-5p and hsa-miR-324-3p miRCURY LNA miRNA inhibitor) were obtained from QIAGEN. The sequences of synthetic siRNAs and miRNAs are listed in Table 2, below.
TABLE-US-00002 TABLE 2 Sense strand sequence in each complex(5′ -> 3′) Name (underlined: 3′ overhang by deoxyribonucleotides) siTUT4 GGUUGCUUCAGACUUUAUATT (SEQ ID NO: 5) (duplex binding (UAUAAAGUCUGAAGCAACCTT) (SEQ ID NO: 9) sequence) GGAAUGAAGAAGAGAAAGATT (SEQ ID NO: 6) (UCUUUCUCUUCUUCAUUCCTT) (SEQ ID NO: 10) GGAGAAACGACAUAAGAAATT (SEQ ID NO: 7) (UUUCUUAUGUCGUUUCUCCTT) (SEQ ID NO: 11) GGUUAGAGCUGCUUAAAUUTT (SEQ ID NO: 8) (AAUUUAAGCAGCUCUAACCTT) (SEQ ID NO: 12) siTUT7 GAAAAGAGGCACAAGAAAATT (SEQ ID NO: 13) (duplex binding (UUUUCUUGUGCCUCUUUUCTT) (SEQ ID NO: 17) sequence) GCAAAGAGGACAAAGAAAUTT (SEQ ID NO: 14) (AUUUCUUUGUCCUCUUUGCTT) (SEQ ID NO: 18) GAUAAGUAUUCGUGUCAAATT (SEQ ID NO: 15) (UUUGACACGAAUACUUAUCTT) (SEQ ID NO: 19) GAACAUGAGUACCUAUUUATT (SEQ ID NO: 16) (UAAAUAGGUACUCAUGUUCTT) (SEQ ID NO: 20) Name Sequence(5′ -> 3′) miNC Sense: 5Phos/CCUACGCCACCAAUUUCGUUU (SEQ ID NO: 30) Antisense: 5Phos/ACGAAAUUGGUGGCGUAGGUU (SEQ ID NO: 31) miR-324 long duplex 5p: 5Phos/CGCAUCCCCUAGGGCAUUGGUGU (SEQ ID NO: 1) (5p duplex) 3p.2: 5phos/CCACUGCCCCAGGUGCUGCUGG (SEQ ID NO: 2) miR-324 short duplex 5p: 5Phos/CGCAUCCCCUAGGGCAUUGG (SEQ ID NO: 32) (3p.1 duplex) 3p.1 + U: 5phos/ACUGCCCCAGGUGCUGCUGGU (SEQ ID NO: 33) miR-324-5p CGCAUCCCCUAGGGCAUUGGUGU 3 (SEQ ID NO: 1)
[0133] 6. Northern Blot
[0134] Total RNAs were isolated using TRIzol (Invitrogen) and small RNAs (<200 nt) were enriched with the miRVana miRNA Isolation Kit (Ambion). Then, the RNAs were resolved on 15% urea-polyacrylamide gels. Synthetic miR-324 duplex and Decade Markers System (Ambion) were used as size markers. RNAs were transferred to Hybond-NX membranes (Amersham) and crosslinked to the membranes with 1-ethyl-3-(3-dimethylaminopropyl)carbodiimide. Antisense probes were radiolabeled at their 5′ ends with [γ.sup.32P] ATP by T4 polynucleotide (Takara) and purified using Performa Spin Columns (Edge BioSystems). The membranes were incubated with denatured UltraPure Salmon Sperm DNA Solution (Thermo Scientific) in PerfectHyb Plus Hybridization Buffer, hybridized with antisense probes, and washed with mild wash buffer (0.05% SDS and 2×SSC), followed by stringent wash buffer (0.1% SDS and 0.1×SSC). Radioactive signals were detected by Typhoon FLA 7000 (GE Healthcare) and analyzed using the Multi Gauge software (FujiFilm).
[0135] miR-324-3p was detected first, and then miR-324-5p was detected after stripping off the probes. To remove the probes from the blot, the membrane was soaked in preboiled 0.5% SDS for 15 min. Synthetic miR-324 duplex (AccuTarget) was obtained from Bioneer. The sequences of probes are listed in Table 3, below.
TABLE-US-00003 TABLE 3 Name Sequence (5′ -> 3′) miR-324-5p probe ACCAATGCCCTAGGGGATGCG (SEQ ID NO: 34) miR-324-3p probe CAGCAGCACCTGGGGCAGT (SEQ ID NO: 35)
[0136] 7. Quantitative Real-Time PCR (RT-qPCR)
[0137] To measure mRNA levels in mouse tissues, RNAs from Mouse Total RNA Master Panel (Takara) were reverse-transcribed using RevertAid Reverse Transcriptase (Thermo Scientific) and subjected to quantitative real-time PCR with the Power SYBR Green PCR Master Mix (Thermo Scientific) on StepOnePlus Real-Time PCR System (Thermo Scientific). GAPDH was used as an internal control. The sequences of qPCR primers are listed in Table 4, below.
TABLE-US-00004 TABLE 4 Name Sequence (5′ -> 3′) TUT4 forward primer GCCTAAAAGGCGGATAGCCATTG (SEQ ID NO: 36) TUT4 reverse primer GCTGCTCTGAATCTTTCCACAAC (SEQ ID NO: 37) TUT7 forward primer CAGCTCAGCAAAAGAGGAGGCA (SEQ ID NO: 38) TUT7 reverse primer CATAGAACCGCAGCAATTCCACC (SEQ ID NO: 39) GAPDH forward primer ACCACAGTCCATGCCATCAC (SEQ ID NO: 40) GAPDH reverse primer TCCACCACCCTGTTGCTGTA (SEQ ID NO: 41)
[0138] To quantify the miR-324-5p/3p strand ratio, total RNAs were isolated using TRIzol (Invitrogen). Then, cDNAs were synthesized using the TaqMan miRNA Reverse Transcription Kit (Applied Biosystems) and subjected to quantitative real-time PCR with the TaqMan MicroRNA Assay (Applied Biosystems) on StepOnePlus Real-Time PCR System (Thermo Scientific). U6 snRNA was used as an internal control.
[0139] 8. In Vitro Dicer Processing Assay
[0140] Pre-miR-324 and its variants were radiolabeled with [γ.sup.32P] ATP by T4 polynucleotide kinase and purified using Oligo Clean & Concentrator (Zymo Research) according to manufacturer's instructions.
[0141] For immunoprecipitation of FLAG-Dicer, the HEK293T cells overexpressing Dicer proteins were lysed with lysis buffer (500 mM NaCl, 20 mM Tris (pH 8.0), 1 mM EDTA, 1% Triton X-100) and sonicated using Bioruptor Standard (Diagenode). After centrifugation, the supernatant was incubated with 10 μL of ANTI-FLAG M2 Affinity Gel (Sigma-Aldrich). The beads were washed twice with lysis buffer, four times with high salt buffer (800 mM NaCl and 50 mM Tris (pH 8.0)), and four times with buffer D (200 mM KCl, 20 mM Tris (pH 8.0), 0.2 mM EDTA) and then resuspended in 10 μL buffer D.
[0142] The immune-purified Dicer was subjected to in vitro reactions in a total volume of 30 μL (containing 2 mM MgCl.sub.2, 1 mM DTT, SUPERase In RNase Inhibitor (Thermo Scientific) 60 units, 5′-radiolabeled pre-miR-324). The RNAs were purified through phenol extraction or using Oligo Clean & Concentrator (Zymo Research) and resolved on 15% urea-polyacrylamide gels. Synthetic miR-324-5p and Decade Markers System (Ambion) were used as size markers. Synthetic pre-miR-324 fragments were obtained from IDT. Synthetic miR-324-5p was obtained from Bioneer. The sequences of synthetic pre-miR-324 fragments and miR-324-5p are listed in Table 5, below.
TABLE-US-00005 TABLE 5 Name Sequence (5′ -> 3′) Pre-miR-324 CGCAUCCCCUAGGGCAUUGGUGUAAAGCUG 5′ half (SEQ ID NO: 42) No-bulge CGCAUCCCCUAGGGCAUUGGGUAAAGCUG pre-miR-324 (SEQ ID NO: 43) 5′ half Pre-miR-324 5Phos/GAGACCCACUGCCCCAGGUGCUGCUGG 3′ half (SEQ ID NO: 44) Pre-miR-324 5Phos/GAGACCCACUGCCCCAGGUGCUGCUGGU 3′ half + U (SEQ ID NO: 45) Pre-miR-324 5Phos/GAGACCCACUGCCCCAGGUGCUGCUGGUU 3′ half + UU (SEQ ID NO: 46)
[0143] 9. Dual Luciferase Reporter Assay
[0144] pmiRGLO containing three 8-mer target sites of either miR-1-3p, miR-324-5p, or miR-324-3p.1 was co-transfected, together with control miRNA or miR-324 duplexes, into HEK293T cells with the aid of Lipofectamine 3000 (Thermo Scientific). After 2 days of transfection, the cells were harvested and subjected to reporter assay. The reporter activities were measured using Dual-Luciferase Reporter Assay System according to the manufacturer's instructions (Promega) on the Spark microplate reader (TECAN). Given that miR-1-3p is little expressed in HEK293T (˜ 8 RPM in the AQ-seq result) (Kim et al., 2019), pmiRGLO with three 8mer target sites of miR-1-3p was used for a plasmid control. Control miRNA was used for further normalization.
[0145] 10. Gene Expression Analysis of Glioblastoma Patient Data
[0146] From Oncopression (http//oncopression.com), Preprocessed gene expression data using microarray were retrieved (Lee and Choi, 2017). The REMBRANDT gene expression dataset (E-MTAB-3073) was obtained from ArrayExpress (Madhavan et al., 2009).
[0147] For analysis of simultaneous profiling of mRNAs and miRNAs (Gulluoglu et al., 2018), pre-processing microarray data were normalized by the robust multi-array average (RMA) using the limma package in R before being used for gene expression analysis.
[0148] 11. Survival Analysis
[0149] Level 3 miRNA gene quantification data and clinical data for TCGA glioblastoma patients were obtained from the GDC legacy archive and the GDC data portal, respectively. The patients were stratified according to the miR-324-5p/3p ratio and the top and bottom 40% of the cases were included in the analysis. The patient's survival was estimated by the Kaplan-Meier method and tested by the two-sided log-rank test using the survival package in R.
[0150] 12. Western Blot
[0151] Cells were washed with PBS and lysed in RIPA buffer (Thermo Scientific) supplemented with Protease Inhibitor Cocktail Set III (Merck Millipore) and Phosphatase Inhibitor Cocktail II (AG Scientific). Protein concentrations were measured using the BCA Protein Assay Kit (Pierce Biotechnology) and equal amounts of proteins were separated on 4-12% Tris-Glycine Gels (Thermo Scientific) and transferred onto Immobilon-P PVDF membranes (Merck Millipore). Membranes were incubated with 5% skimmed milk in PBS-T (PBS (Amresco)+0.1% Tween 20 (Anatrace)) and then treated with primary antibodies. After being washed three times with PBS-T, the membranes were incubated with HRP-conjugated secondary antibodies. The protein bands were detected by SuperSignal West Pico PLUS Chemiluminescent Substrate (Thermo Scientific) and scanned by ChemiDoc XRS+ System (Bio-Rad).
[0152] Rabbit polyclonal antibodies against TUT4 (18980-1-AP, RRID:AB_10598327, 1:500) and TUT7 (25196-1-AP, 1:500) were obtained from Proteintech. A mouse monoclonal antibody against Cyclin E (sc-247, RRID:AB_627357, 1:1,000) and rabbit polyclonal antibodies against Cyclin A (sc-751, RRID:AB_631329, 1:1,000), Cyclin B1 (sc-752, RRID:AB_2072134, 1:1,000), and Cyclin D1 (sc-753, RRID:AB_2070433, 1:1,000) were purchased from Santa Cruz Biotechnology. A rabbit polyclonal antibody against HSP90 (4874, RRID:AB_2121214, 1:1,000) was purchased from Cell Signaling. HRP-conjugated goat polyclonal antibodies against rabbit IgG (111-035-144, RRID:AB_2307391, 1:10,000) and mouse IgG (115-035-146, RRID:AB_2307392, 1:10,000) were purchased from Jackson ImmunoResearch.
[0153] 13. Flow Cytometry
[0154] After being incubated with 10 μM BrdU for 3-8 hours, cells were fixed by ice-cold 70% ethanol. The fixed cells were incubated with FITC-conjugated anti-BrdU antibody (11-5071-42, RRID: AB_11042627, Invitrogen) and further stained with 20 μg/mL of propidium iodide (Sigma-Aldrich) in the presence of 10 μg/mL of RNase A (Thermo Scientific) before detection on BD Accuri C6 Plus Flow Cytometer. Cell cycles were analyzed by the BD Accuri C6 system software.
Examples
[0155] 1. Alternative Strand Selection (or Arm Switching) of miR-324
[0156] First, search was made for miRNAs that exhibit significant alterations in their strain ratio. For accurate quantification of the strand ratio, the AQ-seq library protocol was employed. The variation of strand selection was estimated across 15 different mouse tissues/developmental stages (
[0157] As shown in
[0158] Particularly, a focus was made on miR-324 because the arm switching of miR-324 was considered to have a substantial effect on cellular fate decision.
[0159] As shown in
[0160] 2. miR-324 Arm Switching is Controlled by TUT4 and TUT7.
[0161] The uridylation frequency of 3p correlates negatively with the 5p/3p.1 ratio (
[0162] Meanwhile, the terminal uridylyl transferases TUT4 (also known as ZCCHC11 and TENT3A) and TUT7 (also known as ZCCHC6 and TENT3B) are reported to catalyze uridylation of diverse RNA species, including a specific set of pre-miRNAs (e.g., let-7 precursors). TUT4 and TUT7 (TUT4/7) act redundantly on most substrates.
[0163] On the basis of the facts in the foregoing, quantitation (RT-qPCR) of TUT4/7 levels in mouse tissues resulted in the finding that the 5p/3p.1 ratio is higher in cell types where TUT4 and TUT7 levels are relatively low (
[0164] To examine whether TUT4/7 is involved in miR-324 maturation, TUT4/7 was depleted in HEK293T sRNA-seq (AQ-seq) was performed.
[0165] As shown in
[0166] These sequencing data were consistent with the northern blot (
[0167] In addition, as can be seen in
[0168] 3. Uridylation Induces Alternative Dicer Processing of Pre-miR-324.
[0169] TUT4/7 are known to modify pre-miRNAs rather than mature miRNAs. In order to understand how TUT4/7 modulate miR-324 strand selection, the effect of uridylation on pre-miRNA processing was examined by performing in vitro Dicer processing assays with synthetic pre-miR-324.
[0170] As shown in
[0171] Moreover, as shown in
[0172] 4. Alternative Dicer Processing is Facilitated by the Double-Stranded RNA Binding Domain.
[0173] First, in order to identify the determinant responsible for the 3-nt shift, U bulge was removed from pre-miR-324.
[0174] For the “no-bulge” mutant, as shown in
[0175] Next, examination was made to reveal relationship between the 5′- and 3′-counting rules and the pre-miR-324 processing. In this regard, Dicer mutants in the 5′ or 3′ pocket were utilized.
[0176] As can be seen in
[0177] Moreover, an investigation was made of the contribution of other domains in Dicer. For use in testing the role of the Dicer dsRBD in vitro, a dsRBD deletion mutant was generated.
[0178] As shown in
[0179] Taken together, unmodified pre-miR-324 is cleaved at position A, relying on the 5′ pocket existing in the platform domain of Dicer as shown in
[0180] 5. Alternative Dicer Processing Leads to Arm Switching.
[0181] Taken together, the data obtained from the Examples showed that, as can be seen in
[0182] In order to examine strand selection in cells, reporters containing the 3′ UTR complementary to miR-324-5p or miR-324-3p.1 was constructed (left panel in
[0183] These results imply that 5p and 3p.1 are indeed differentially produced from the long duplex and the short duplex, respectively. That is, from the long duplex, the 5p strand is selected because the 5′ end of 5p is thermodynamically unstable compared with that of 3p.2 (blue dashed rectangle in
[0184] Taken together, the results demonstrate that the arm switching of miR-324 results from the alternative Dicer processing.
[0185] 6. miR-324 Arm Switching Affects Cell-Cycle Progression.
[0186] The 5′ end of miR-324-3p was previously reported to vary in human glioblastoma (GBM). The proportion of 3p.1 is substantially greater in tumor than in normal brain tissue, as shown in
[0187] SO, to examine the possibility that TUT4/7-mediated miR-324 maturation is differentially modulated in the GBM context, transcriptome datasets were analyzed using Oncopression.
[0188] As can be seen in
[0189] In addition, using an independent dataset that profiled both mRNAs and miRNAs, comparison with normal samples was carried out to corroborate the upregulation of TUT4/7 levels in GBM and a reduction of the miR-324-5p/3p ratio in GBM.
[0190] As shown in
[0191] On the basis of the facts in the foregoing, to understand the function of miR-324 arm switching, the molecular and cellular phenotypes driven by perturbation of miR-324 strand selection in GBM cell lines was investigated.
[0192] As shown in
[0193] As shown in
[0194] Taken together, the data indicate that miR-324 isomiRs have opposing functions in GBM cell proliferation.
DISCUSSION
[0195] As shown in
[0196] Being capable of regulating the alternative strand selection of microRNA(miR-324) by TUT4/7, the present invention can be effectively applied to the prevention and treatment of cancer (encephaloma).
INDUSTRIAL APPLICABILITY
[0197] The present invention relates to a pharmaceutical composition comprising a TUT4/7 expression regulator for prevention or treatment of cancer and, more specifically, to a pharmaceutical composition comprising a nucleic acid sequence regulatory of TUT4/7 expression for prevention or treatment of cancer.
[0198] This application contains references to amino acid sequences and/or nucleic acid sequences which have been submitted herewith as the sequence listing text file. The aforementioned sequence listing is hereby incorporated by reference in its entirety pursuant to 37 C.F.R. § 1.52(e).