Proteomics

Dataset Information

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Identification of functional miRNA gene interactions in mESC by computational data integration approaches.


ABSTRACT: miRNAs are short regulatory single stranded RNA sequences that upon complementary binding to mRNAs lead to the inhibition or degradation of their targets. This regulatory mechanisms has been shown to play crucial roles throughout the whole life cycle of animals and plants as well as in disease. While a plethora of methods exist to predict targets of miRNA, which suggest that up to 80% of the genome is miRNA regulated, it has recently been reported that many of these predictions are false positives, cell type specific or represent non-functional binding. In order to identify the subset of real functional miRNAs and their targets, we established miRNA pathway mutants in mouse embryonic stem cells (mESC), allowing the dissection of canonical and non-canonical functions of pathway members. Additional data integration of downstream regulatory layers (CLIP-seq, ribosome profiling and MS) enabled us to follow and track down real functional miRNA-gene interactions, which reduced the miRNA genome regulation to approximately 1%.

INSTRUMENT(S): TripleTOF 5600

ORGANISM(S): Mus Musculus (mouse)

TISSUE(S): Embryo, Endosperm, Embryonic Stem Cell

SUBMITTER: Tatjana Sajic  

LAB HEAD: Prof. Dr. Rudolf Aebersold

PROVIDER: PXD014484 | Pride | 2022-08-31

REPOSITORIES: pride

Dataset's files

Source:
Action DRS
ConvertTSVToTraML.TraML Other
E1712181522_feature_alignment_requant.tsv.gz Tabular
SAJICTMITO_EPFL_LIVERE1712141542.prot.xml Xml
iprophet.pep.xml Pepxml
sajict_L171021_SW_1.zip Other
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Publications


MicroRNA (miRNA) loaded Argonaute (AGO) complexes regulate gene expression via direct base pairing with their mRNA targets. Previous works suggest that up to 60% of mammalian transcripts might be subject to miRNA-mediated regulation, but it remains largely unknown which fraction of these interactions are functional in a specific cellular context. Here, we integrate transcriptome data from a set of miRNA-depleted mouse embryonic stem cell (mESC) lines with published miRNA interaction predictions  ...[more]

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