Rapid decay of engulfed extracellular miRNA by XRN1 exonuclease promotes transient epithelial-mesenchymal transition
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE81370 | GEO | 2017/01/25
SECONDARY ACCESSION(S): PRJNA321386
REPOSITORIES: GEO
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Project description: Not available
| S-EPMC5397191 | biostudies-literature
Project description:Objective: Adipose tissue plays a key role in obesity related metabolic dysfunction. MicroRNA (miRNA) are gene regulatory molecules involved in inter-cellular and inter-organ communication. We hypothesised that miRNA levels in adipose tissue would change after gastric bypass surgery and that this would provide insights into their role in obesity-induced metabolic dysregulation. Methods: miRNA-profiling (Affymetrix_Gene-Chip_miRNA2.0_Arrays) of omental and subcutaneous adipose (n=15 females) before, and after, gastric bypass surgery. Results: One omental, and thirteen subcutaneous adipose miRNAs were significantly, differentially expressed after gastric bypass, including down-regulation of miR-223-3p and its antisense relative, miR-223-5p, in both adipose tissues. mRNA levels of miR-223-3p targets NLRP3 and GLUT4 were increased and decreased respectively following gastric bypass in both adipose tissues. Significantly more NLRP3 protein was observed in omental adipose after gastric bypass (P=0.02). Significant hypomethlyation of NLRP3 and hypermethylation of miR-223 was observed in both adipose tissues after gastric bypass. In subcutaneous adipose significant correlations were observed between both miR-223-3p and miR-223-5p and glucose, and between NLRP3 mRNA and protein levels and blood lipids. Conclusions: This is the first report detailing genome-wide miRNA-profiling of omental adipose before and after gastric bypass, and further highlights a link between miR-223-3p and the NLRP3 inflammasome in obesity.
2019-12-16 | E-MTAB-8594 | biostudies-arrayexpress
Project description:Oxaliplatin (oxPt) resistance in colorectal cancers (CRC) is a major unsolved problem. Consequently, predictive markers and a better understanding of resistance mechanisms are urgently needed. To investigate if the recently identified predictive miR-625-3p is functionally involved in oxPt resistance, stable and inducible models of miR-625-3p dysregulation were analyzed. Ectopic expression of miR-625-3p in CRC cells led to increased resistance towards oxPt. The mitogen-activated protein kinase (MAPK) kinase 6 (MAP2K6/MKK6) – an activator of p38 MAPK - was identified as a functional target of miR-625-3p, and, in agreement, was down-regulated in patients not responding to oxPt therapy. The miR-625-3p resistance phenotype could be reversed by anti-miR-625-3p treatment and by ectopic expression of a miR-625-3p insensitive MAP2K6 variant. Transcriptome, proteome and phosphoproteome profiles revealed inactivation of MAP2K6-p38 signaling as a possible driving force behind oxPt resistance. We conclude that miR-625-3p induces oxPt resistance by abrogating MAP2K6-p38 regulated apoptosis and cell cycle control networks.
2017-03-29 | MSV000080762 | MassIVE
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.
2021-08-04 | E-MTAB-10414 | biostudies-arrayexpress
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.
2021-08-04 | E-MTAB-10421 | biostudies-arrayexpress
Project description:COPD is a heterogeneous condition without effective disease modifying therapies. Identification of novel inflammatory endotype markers such as extracellular vesicles (EVs), which are important intercellular messengers carrying microRNA (miRNA), may enable earlier diagnosis and disease stratification for a targeted treatment approach. Our aim was to identify differentially expressed EV miRNA in the lungs of COPD patients compared with healthy ex-smokers and determine whether they can help define inflammatory COPD endotypes. EV miRNA were isolated and sequenced from ex-smoking COPD patients and healthy ex-smoker bronchoalveolar lavage fluid. Results were validated with RT-qPCR and compared to differential inflammatory cell counts. Differential expression analysis identified five upregulated miRNA in COPD (miR-223-3p, miR-2110, miR-182-5p, miR-200b-5p and miR-625-3p) and three downregulated miRNA (miR-138-5p, miR-338-3p and miR-204-5p), all with a log2 fold change of >1/-1, FDR<0.05. These miRNAs correlated with disease defining characteristics such as FEF 25-75% (a small airways disease measure) and DLCO % (a surrogate measure of emphysema). Receiver operator curve analysis demonstrated miR-2110, miR-223-3p and miR-182-5p showed excellent combinatory predictive ability (AUC 0.91, p<0.0001) in differentiating between health and mild COPD. Furthermore, miR-223-3p and miR-338-3p correlated with airway eosinophilia and were able to distinguish “pure eosinophilic” COPD from other airway inflammatory subtypes (AUC 0.94 and 0.85 respectively). This is the first study to identify differentially expressed miRNA in COPD bronchoalveolar lavage fluid EVs. These findings suggest specific lung derived EV miRNA are a strong predictor of disease presence even in mild COPD. Furthermore, specific miRNA correlated with inflammatory cell numbers in COPD, and may have a role in defining inflammatory endotypes for future treatment stratification.
2022-12-05 | GSE218571 | GEO
Project description:Determine the comprehensive miRNA expression profile in RNA extracted from whole blood samples from healthy controls (CTRL), individuals positive to CCP antibodies >25UI/ml (CCP+), early rheumatoid arthritis (ERA) and established rheumatoid arthritis (CRA) according to the ACR/EULAR 2010 classification criteria. Several miRNAs were overexpressed on ERA patients. We selected 5 miRNAs (miR-361-5p, miR-23a-3p, miR-223-3p, miR-4634 and miR-128-3p) for its quantification on a bigger group of subjects by RT-qPCR and the results showed good concordance with microarray expression data.
2019-06-13 | GSE115885 | GEO
Project description: Not available
| S-EPMC6387842 | biostudies-literature
Project description:To identify differentially expressed genes by anti cancer treatments (microRNAs or siRNAs) in human cancer, several cell lines (bladder cancer, prostate cancer, renal cell carcinoma, oral squamous cell carcinoma and lung squamous cell carcinoma) were subjected to Agilent whole genome microarrays. Human cancer cell lines (SAS, HSC3, BOY, T24, PC3, PC3M, DU145, C4-2, 786-O, A-498 and EBC-1) were treated with miRNAs (miR-205, miR-29a, miR-144-3p, miR-144-5p, miR-451, miR-210, miR-145-5p, miR-145-3p, miR-23b cluster, miR-221, miR-222 and miR-223), siRNAs (si-GOLM1, si-HMGB3, si-CENPF, si-LOXL2, si-TMEM184B and si-CORO1C).
2016-04-13 | E-GEOD-66498 | biostudies-arrayexpress