Differential expression of microRNA profiles of four induced pluripotent stem cells lines derived from distinct tissues
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PROVIDER: PRJNA1019743 | ENA |
REPOSITORIES: ENA
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2018-05-24 | PXD008781 | Pride
Project description:Previous evidences have proved that porcine-induced pluripotent stem cells (piPSCs) could be induced to distinctive metastable pluripotent states. This raises the issue of whether there is a common transcriptomic profile existing among the piPSC lines at distinctive state. In this study, we performed conjoint analysis of small RNA-seq and mRNA-seq for three piPSC lines which represent LIF dependence, FGF2 dependence and LFB2i dependence, respectively. Interestingly, we found there are 16 common microRNAs which potentially target 13 common mRNAs among the three piPSC lines. Dual-luciferase reporter assay validated that miR-370, one of the 16 common microRNAs, could directly target the 3'UTR of LIN28A. When the differentiation occurred, miR-370 could be activated in piPSCs and switched off the expression of LIN28A. Ectopic expression of miR-370 in piPSCs could reduce LIN28A expression, decrease the alkaline phosphatase activity, slow down the proliferation, and further cause the downregulation of downstream pluripotent genes (OCT4, SOX2, NANOG, SALL4 and ESRRB) and upregulation of differentiation relevant genes (SOX9, JARID2 and JMJD4). Moreover, these phenotypes caused by miR-370 could be rescued by overexpressing LIN28A. Collectively, our findings suggest that a set of common miRNA-mRNA interactions exist among the distinct piPSC lines, which orchestrate the self-renewal and differentiation of piPSCs independent of their metastable pluripotent states.
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Project description:Recent genomic approaches have suggested the existence of multiple distinct subtypes of medulloblastoma. We studied a large cohort of medulloblastomas to determine how many subgroups of the disease exist, how they differ, and the extent of overlap between subgroups. We determined gene expression profiles and DNA copy number aberrations for 103 primary medulloblastomas. Bioinformatic tools were used for class discovery of medulloblastoma subgroups based on the most informative genes in the dataset. Immunohistochemistry for subgroup-specific ‘signature’ genes was used to determine subgroup affiliation for 294 non-overlapping medulloblastomas on two independent tissue microarrays (TMAs). Multiple unsupervised analyses of transcriptional profiles identified four distinct, non-overlapping molecular variants: WNT, SHH, Group C, and Group D. Supervised analysis of these four subgroups revealed significant subgroup-specific demographics, histology, metastatic status, and DNA copy number aberrations. Immunohistochemistry for DKK1 (WNT), SFRP1 (SHH), NPR3 (Group C), and KCNA1 (Group D) could reliably and uniquely classify formalin fixed medulloblastomas in ~98% of cases. Group C patients (NPR3 +ve tumors) exhibited a significantly diminished progression free and overall survival irrespective of their metastatic status. Our integrative genomics approach to a large cohort of medulloblastomas has identified four disparate subgroups with distinct demographics, clinical presentation, transcriptional profiles, genetic abnormalities, and clinical outcome. Medulloblastomas can be reliably assigned to subgroups through immunohistochemistry, thereby making medulloblastoma sub-classification widely available. Future research on medulloblastoma and the development of clinical trials should take into consideration these four distinct types of medulloblastoma.
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Project description:ObjectiveThe human large intergenic non-coding RNA-regulator of reprogramming program (linc-ROR) is known as a stem cell specific linc-RNA. linc-ROR counteracts differentiation via sequestering microRNA-145 (miR-145) that targets OCT4 transcript. Despite the research on the expression and function, the exact structure of linc-ROR transcripts is not clear. Considering the contribution of alternative splicing in transcripts structures and function, identifying different spliced variants of linc-ROR is necessary for further functional analyses. We aimed to find the alternatively spliced transcripts of linc-ROR and investigate their expression pattern in stem and cancer cell lines and during neural differentiation of NT2 cells as a model for understanding linc-ROR role in stem cell and differentiation.Materials and methodsIn this experimental study, linc-ROR locus was scanned for identifying novel exons. Different primer sets were used to detect new spliced variants by reverse transcription polymerase chain reaction (RT-PCR) and direct sequencing. Quantitative PCR (qPCR) and RT-PCR were employed to profile expression of linc-ROR transcripts in different cell lines and during neural differentiation of stem cells.ResultsWe could discover 13 novel spliced variants of linc-ROR harboring unique array of exons. Our work uncovered six novel exons, some of which were the product of exonized transposable elements. Monitoring expression profile of the linc-ROR spliced variants in a panel of pluripotent and non-pluripotent cells exhibited that all transcripts were primarily expressed in pluripotent cells. Moreover, the examined linc-ROR spliced variants showed a similar downregulation during neural differentiation of NT2 cells.ConclusionAltogether, our data showed despite the difference in the structure and composition of exons, various spliced variants of linc-ROR showed similar expression pattern in stem cells and through differentiation.
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