Dataset Information

Network-based integration of multi-omics data identifies the determinants of miR-491-5p effects

ABSTRACT: The identification of miRNAs’ targets and associated regulatory networks might allow the definition of new strategies using drugs whose association might mimic a given miRNA’s effects. Based on this assumption our group devised a multi-omics approach in an attempt to precisely characterize miRNAs’ effects. We combined the analysis of miR-491-5p direct targets, and effects at the transcriptomic and proteomic levels. We thus constructed an interaction network which enlightened highly connected nodes, being either direct or indirect targets of miR-491-5p effects: the already known EGFR and BCL2L1, but also EP300, CTNNB1 and several small-GTPases. By using different combinations of specific inhibitors of these nodes, we could greatly enhance their respective cytotoxicity and mimic miR-491-5p-induced phenotype. Our methodology thus constitutes an interesting strategy to comprehensively study the effects of a given miRNA. Also, we identified targets for which pharmacological inhibitors are already available for a clinical use, or in clinical trial phases. This study might thus enable innovative therapeutic options for ovarian cancer, which remains the first cause of death from gynecological malignancies in developed countries.

INSTRUMENT(S): Orbitrap Fusion

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Epithelial Ovarian Cancer Cell

DISEASE(S): Malignant Neoplasm Of Ovary

SUBMITTER: Valentin SABATET

LAB HEAD: Damarys Loew

PROVIDER: PXD022131 | Pride | 2021-09-09

REPOSITORIES: Pride

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Publications

Network-Based Integration of Multi-Omics Data Identifies the Determinants of miR-491-5p Effects.

Meryet-Figuiere Matthieu M Vernon Mégane M Andrianteranagna Mamy M Lambert Bernard B Brochen Célia C Issartel Jean-Paul JP Guttin Audrey A Gauduchon Pascal P Brotin Emilie E Dingli Florent F Loew Damarys D Vigneron Nicolas N Wambecke Anaïs A Abeilard Edwige E Barillot Emmanuel E Poulain Laurent L Martignetti Loredana L Denoyelle Christophe C

Cancers 20210805 16

The identification of miRNAs' targets and associated regulatory networks might allow the definition of new strategies using drugs whose association mimics a given miRNA's effects. Based on this assumption we devised a multi-omics approach to precisely characterize miRNAs' effects. We combined miR-491-5p target affinity purification, RNA microarray, and mass spectrometry to perform an integrated analysis in ovarian cancer cell lines. We thus constructed an interaction network that highlighted hig ...[more]

PMID: 34439123

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Project description:Hemopoiesis entails a series of hierarchically organized events that proceed throughout cell specification and terminates with cell differentiation. Commitment needs the transcription factors effort that, in concert with microRNAs, drives cell fate specification, answering to promiscuous patterns of gene expression by turning on lineage-specific genes and repressing alternate lineage transcripts. Therefore microRNAs and mRNAs cooperate to direct cell fate decisions. We obtained microRNAs profiles from human CD34+ hemopoietic progenitor cells and in-vitro differentiated erythroblasts, megakaryoblasts, monoblasts and myeloblasts precursors and we analyzed them together with the gene expression profiles of the same populations. We found that for most part of microRNAs specifically up-regulated in one single cell progeny an inverse correlation between microRNAs and down-regulated putative targets expression levels occurs. We chose hsa-mir-299-5p as a model to get further insights into the possible biological relevance of this microRNAs-mRNAs expression integrated analytical approach and we asked if the forced expression of a single lineage-specific microRNA is able to control the cell fate of CD34+ progenitors grown in multilineage culture conditions. Gain and loss of-function experiments established that mir-299-5p regulates hemopoietic progenitors fate modulating reciprocally megakaryocytic-granulocytic versus erythroid-monocytic differentiation and has at least two genuine targets, the transcription factors CTCF and SOX4. CD34+ hematopoietic progenitor cells were transfected with the Amaxa Nucleofector Device, using the Human CD34 Cell Nucleofection Kit, accordingly to the manufacturer’s instructions (Amaxa Biosystem, Cologne, Germany), and 5µg of either the Pre-miR miRNA Precursor Molecule—Negative Control # 1 (NC1) or the hsa-mir-299-5p Pre-miR miRNA Precursor Molecule (299-5p) (Ambion, Austin, TX, USA) and pulsed with the program U-008. The dataset is composed of three independent paired experiment of 299-5p gain of-function (three hsa-299-5p Pre-miR miRNA Precursor Molecule nucleoporated samples and three paired Pre-miR miRNA Precursor Molecule—Negative Control # 1 transfected ones).

Dataset Information

Network-based integration of multi-omics data identifies the determinants of miR-491-5p effects

Publications

Network-Based Integration of Multi-Omics Data Identifies the Determinants of miR-491-5p Effects.

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