Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

MiR-16 Interactome in Uveal Melanoma

ABSTRACT: Chromosome 3p monosomy is associated with a poor clinical outcome of patients with uveal melanoma. Since a copy of the tumor suppressor miR-16 gene is lost for these patients, we postulated that a 3p loss may reduce the miR-16 amount and activity, promoting RNA derepression and tumor burden (loss of brake effect) as observed in chronic lymphocytic leukemia. Unexpectedly, we found that miR-16 expression level is not decreased despite the 3p monosomy. In contrast, our results suggested that miR-16 activity is impaired in uveal melanoma. Here, we investigated the molecular mechanism explaining the sequestration of miR-16 by RNAs. By defining the miR-16 interactome, two genes sets have been highlighted, suggesting two divergent miR-16 functions. In addition to the canonical miR-16 targets such as CCND3 and CDC25A, we identified another set of miR-16-interacting RNAs called thereafter miR-16 sponges. miR-16 binds to these RNAs sponge without inducing their decay. Mechanistically, the miR-16/RNA non-canonical base-pairing promoted stability of mRNAs involved in cancer cell proliferation. The biological relevance has been challenged in uveal melanoma. We showed that patients with poor overall survival expressed higher levels of miR-16 sponges and canonical miR-16 targets. These results strongly suggested that miR-16 is no longer able to repress its targets and, in contrast, promotes RNA stability and protein expression of oncogenes. miR-16 activity assessment using our Sponge-signature discriminates the patient’s overall survival as efficiently as the current method based on copy number variations and driver mutations detection. To conclude, miRNA loss of function due to miRNA sequestration seems to promote cancer burden by two combined events – 'loss of brake and an acceleration'. Our results highlight the oncogenic role of the non-canonical base-pairing between miRNAs/mRNAs in uveal melanoma.

INSTRUMENT(S): Illumina NovaSeq 6000

ORGANISM(S): Homo sapiens

SUBMITTER: David Gilot

PROVIDER: E-MTAB-10940 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:Introduction: Systems vaccinology is a novel approach to predict immune response in vaccines. We have used a systems biology approach to identify early gene ‘signatures’ that predicted viral load control after analytical therapy interruption (ATI) in HIV-1 infected patients vaccinated with a dendritic cell-based (DC) HIV-1 vaccine. Methods: Frozen post-vaccination PBMC samples from participants of a previously published DC vaccine (DCV2) clinical trial were used for the study. mRNA and miRNA were extracted and gene expression was determined by microarray method. Differential gene expression analysis was performed on both mRNA and miRNA between responders (> 1 log10 copies/mL drop of VL after 12 weeks of ATI) and non-responders (<= 1 log10 copies/mL drop in VL at week 12 of ATI). Gene set enrichment analysis (GSEA) was carried out with the hallmark gene sets of the Broad Institute on the mRNA data. After the stand-alone analyses of mRNA and miRNA we performed an additional GSEA with gene sets defined by the genes regulated by significantly differentially expressed miRNAs. Statistical analysis was done using R and the GSEA software of the Broad Institute. Results: There were 15 responders and 20 non-responders. No differentially expressed mRNAs were observed between responders and non-responders. As compared with non-responders, responders showed an up-regulation of gene sets corresponding to TNF- alpha signaling via the NFkB pathway, inflammatory response, coagulation, the complement system, Il6 and Il2 JAK-STAT signaling, or reactive oxygen-species pathways were up-regulated, and a down-regulation of gene sets corresponding to E2F targets, oxidative phosphorylation, or interferon alpha response. We found 9 differentially expressed miRNAs between responders and non-responders: miR-32-3p, miR-185-3p, miR-223-3p, miR-500b-3p, miR-550a-3p, miR-1183, miR-1184, miR-4455, and miR-8063. Twelve Broad hallmark gene sets that were significantly deregulated in the GSEA showed significant overlap with genes regulated by one or more of these miRNAs, 10 of them with genes regulated by miR-223-3p. We also observed that the expression of genes regulated by miR-223-3p, miR-1183 and miR-8063 was significantly down-regulated in responders as compared with non-responders. Conclusions: Deregulation of certain gene sets related to inflammatory processes seems fundamental in viral control during ATI. miR-223-3p may be one of the miRNAs that fine tune part of these processes.

Dataset Information

MiR-16 Interactome in Uveal Melanoma

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets