Identification of miR-29a-mediated target transcriptome in human pancreatic stellate cells (hPSCs) using RNAseq approach
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ABSTRACT:
PROVIDER: PRJNA604801 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR11018023_1.fastq.gz | Fastqsanger.gz | |||
| SRR11018023_2.fastq.gz | Fastqsanger.gz | |||
| SRR11018024_1.fastq.gz | Fastqsanger.gz | |||
| SRR11018024_2.fastq.gz | Fastqsanger.gz | |||
| SRR11018025_1.fastq.gz | Fastqsanger.gz |
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Project description:In this study, we aim to understand the role of miR-29a in in regulating hPSCs. Identification of the differentially expressed direct and indirect miR-29a targets and the associated pathways from the RNASeq data delineates gene interactions and networks essential for activated PSCs in pancreatic ductal adenocarcinoma (PDAC) in regulating desmoplasia and tumor-stomal crosstalk, which are crucial mechanisms for PDAC progression.
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Project description:To confirm the mechanism of miR-29a in liver fibrosis healing, we have employed whole genome microarray expression profiling as a discovery platform to identify genes. CCl4 and TAA liver fibrosis model mouse were used for this experiment. After five weeks liver fibrosis induction period, mouse have been observed for one week (1w) or two weeks (2w) and negative control nucleotide (N.C) or miR-29a were injected every 3 days on this period. We used CCl4 1w N.C (n = 1), 1w miR-29a (n = 1), 2w N.C (n = 1), 2w miR-29a (n = 1), and also used TAA model mouse (total n = 8) liver samples for microarray analysis. We can get only one gene (PDGF-c) as a target of miR-29a which relate to liver fibrosis and down-regulated more than 1.5 times in common miR-29a injected group than N.C group.
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Project description:To confirm the mechanism of miR-29a in liver fibrosis healing, we have employed whole genome microarray expression profiling as a discovery platform to identify genes. CCl4 and TAA liver fibrosis model mouse were used for this experiment. After five weeks liver fibrosis induction period, mouse have been observed for one week (1w) or two weeks (2w) and negative control nucleotide (N.C) or miR-29a were injected every 3 days on this period. We used CCl4 1w N.C (n = 1), 1w miR-29a (n = 1), 2w N.C (n = 1), 2w miR-29a (n = 1), and also used TAA model mouse (total n = 8) liver samples for microarray analysis. We can get only one gene (PDGF-c) as a target of miR-29a which relate to liver fibrosis and down-regulated more than 1.5 times in common miR-29a injected group than N.C group. CCl4 and TAA liver fibrosis model mouse were used for this experiment. After five weeks liver fibrosis induction period, mouse have been obserbed for one week (1w) or two weeks (2w) and negative control nucleotide (N.C) or miR-29a were injected every 3 days on this period. We used CCl4 1w N.C (n = 1), 1w miR-29a (n = 1), 2w N.C (n = 1), 2w miR-29a (n = 1), and also used TAA model mouse (total n = 8) liver samples for microarray analysis.
2015-03-31 | E-GEOD-67423 | biostudies-arrayexpress
Project description:In this study, we aim to understand the regulatory role of miR-29a in differential expression of genes and pathways associated with PDAC. Functional validation of the top candidate miR-29a targets identified from the RNASeq data delineates novel PDAC pathways paving the way for the development of de novo therapeutic strategies for PDAC treatment.
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Project description:miR-29a/b1 was reported to be involved in the regulation of reproductive function in female mice, but the underlying molecular mechanisms were not clear. In this study, female mice lacking miR-29a/b1 showed a delay in vaginal opening, irregular estrus cycles, ovulation disorder and infertility. However, the development of egg was normal in mutant mice and the ovulation disorder could be rescued by the superovulation treatment. The plasma level of luteinizing hormone (LH) was significantly lower in the mutant mice. Using iTRAQ coupled with LC-MS/MS, we found that the deficiency of miR-29a/b1 in mice resulted in an abnormal expression of a number of proteins involved in vesicular transport and secretion in the pituitary gland. The miR-29a/b1 targeting gene Dnmt3a and Hdac4 were up-regulated in the pituitary of miR-29a/b1 knockout mice suggesting that these two epigenetic writers may be the upstream causes for these phenotype changes due to miR-29a/b1 deficiency. These findings demonstrated that miR-29a/b1 is indispensable for the function of the reproductive axis through regulating LH secretion in the pituitary gland.
2021-09-09 | PXD017106 | Pride
Project description:Human pancreatic stellate cells (HPSCs) are an essential stromal component and are the mediators of pancreatic ductal adenocarcinoma (PDAC) progression. Small extracellular vesicles (sEVs) are membrane-enclosed nanoparticles released from stellate cells adjacent to the PDAC. sEVs are believed to play a key role in cell-cell communications and may play a critical role in disease progression. The role of membrane proteins of HPSC sEVs in the PDAC tumor microenvironment is unclear and to date, there has not been a quantitative proteomic comparison of sEVs from normal pancreatic stellate cells (HPaStec) and from PDAC-associated stellate cells (HPSCs). We hypothesized there would be differences in sEVs secretion and membrane protein expression between the 2 conditions that might contribute to PDAC biology. To test these hypotheses, we isolated sEVs using ultracentrifugation followed by characterization by electron microscopy and Nanoparticle Tracking Analysis. HPSCs secreted more sEVs compared to HPaStec, and these sEVs were enriched with exosomal markers, which was confirmed by Western blotting and flow cytometry. HPSC-sEVs also restore the activation of normal stellate cells. Next, we showed that intact membrane-associated proteins may be essential for sufficient uptake of stellate cell sEVs by both normal epithelial and cancer cells. Importantly, we demonstrated that stellate cells in general modulate the cellular proliferations of pancreatic cancer cells although stellate cell sEVs did not change the proliferation of cancer cells. We then compared sEV proteins isolated from HPSCs and HPaStecs cells using liquid chromatography–tandem mass spectrometry. Most of the 1,481 protein groups identified were shared with the exosome database, ExoCarta (http://exocarta.org/; curated by the Mathivanan Lab). Eighty-seven protein groups were differentially expressed (selected by 2-fold difference and adjusted P value ≤ 0.05) between HPSC and HPaStec sEVs. HPSC sEVs contained dramatically more CSE1L, a poor prognostic marker for pancreatic cancer. In conclusion, our findings using mass spectrometry–based proteomics may direct further studies to understand the biology and role of protein composition of HPSC sEVs in PDAC progression or to develop novel strategies based on delivery of exosome cargo to PDAC tumor cells.
2023-03-11 | PXD030077 | Pride
Project description:Gene expression profiling from fine purified hematopoietic stem and progenitor cells of WT or miR-29a deletion. This anlaysis identified the up- and down-regulated genes from miR-29a deletion, and suggest that cell cycle regulators are significantly changed. The results demonstrate that the HSC lacking of miR-29a appeared as committed progentiors from their gene expression patterns.
2015-03-03 | GSE58237 | GEO
Project description:Gene expression profiling from fine purified hematopoietic stem and progenitor cells of WT or miR-29a deletion. This anlaysis identified the up- and down-regulated genes from miR-29a deletion, and suggest that cell cycle regulators are significantly changed. The results demonstrate that the HSC lacking of miR-29a appeared as committed progentiors from their gene expression patterns. Cells are sorted into hematopoietic stem cells (HSC, Lin-c-Kit+Sca-1+Slam1+CD34-) and committed progenitor cells (Prog, Lin-c-kit+Sca-1-) with > 90% purity using FACS AriaII machine.
2015-03-03 | E-GEOD-58237 | biostudies-arrayexpress
Project description:Mapping global miR-29a targets in pancreatic cancer adenocarcinoma (PDAC) cells using Next Generation Sequencing approach
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Project description:The miR-29 family is an important player in the molecular pathophysiology of distinct types of cancer, with roles that seems to depend on cellular context. Reduced miR-29 levels are associated with more aggressive disease and its overexpression in cancer and leukemic cell lines inhibits proliferation. In contrast, its overexpression in hematopoietic progenitors, promotes leukemogenesis. We explored the potential roles of miR-29a in the molecular pathophysiology of T-cell acute lymphoblastic leukemia (T-ALL). As compared to normal T-cells, miR-29a levels are extremely reduced in T-ALL and in the Jurkat cell line. Microarrays analysis in Jurkat cells, following the introduction of synthetic miR-29a mimics, revealed the down-regulation of several predicted targets, including previously described targets (DNMT3a/b, CDK6, PXDN, MCL1, PIK3R1 and CXXC6), and novel targets with roles in active DNA demethylation, such as members of the ten-eleven-translocation (TET) family and TDG. Reduced miR-29a levels contribute to altered epigenetics, as its introduction in Jurkat cells, promotes the demethylation of the AHR gene (commonly methylated in T-ALL). In T-ALL patients, miR-29a levels are significantly associated with blast counts and disease free survival. Our results highlight the relevance of miR-29 in T-ALL physiopathology, and may help to clarify some contrasting findings reported in the literature. In order to identify potential miR-29a targets in T-cell lymphoblastic leukemia, Jurkat cells were electroporated with synthetic RNA molecules corresponding to miR-29a mimics (pre-miR) or inhibitors (anti-miR); and microarray profiles were compared to the profiles of Jurkat cells eletroporated with the corresponding negative controls. Transcripts with levels reduced following the introduction of the pre-miR-29a (as compared to pre-miR-Control), or transcripts acumulated folowing introduction of the anti-miR-29a inhibitor (as compared to anti-miR-Control), were considered potential targets; and were further compared to microRNA target prediction databases. Two paired samples were used for this analysis.
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