Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

MicroRNA expression data from human high-density lipoproteins.

ABSTRACT: We quantified differential microRNA (miRNA) expression on human HDL before and after incubation with human coronary artery endothelial cells. These data were used to determine which miRNAs are altered on HDL (taken up or effluxed to) by human coronary artery endothelial cells. Each group had a n=4 and HDL-miRNA levels post incubations were compared to pre incubations with cells.

ORGANISM(S): Homo sapiens

SUBMITTER: Kasey Vickers

PROVIDER: E-GEOD-53314 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

HDL-transferred microRNA-223 regulates ICAM-1 expression in endothelial cells.

Tabet Fatiha F Vickers Kasey C KC Cuesta Torres Luisa F LF Wiese Carrie B CB Shoucri Bassem M BM Lambert Gilles G Catherinet Claire C Prado-Lourenco Leonel L Levin Michael G MG Thacker Seth S Sethupathy Praveen P Barter Philip J PJ Remaley Alan T AT Rye Kerry-Anne KA

Nature communications 20140228

High-density lipoproteins (HDL) have many biological functions, including reducing endothelial activation and adhesion molecule expression. We recently reported that HDL transport and deliver functional microRNAs (miRNA). Here we show that HDL suppresses expression of intercellular adhesion molecule 1 (ICAM-1) through the transfer of miR-223 to endothelial cells. After incubation of endothelial cells with HDL, mature miR-223 levels are significantly increased in endothelial cells and decreased o ...[more]

PMID: 24576947

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Project description:Purpose: To identify tissue microRNAs predictive of sunitinib activity in patients with metastatic renal-cell carcinoma (MRCC) and to validate them in a cellular model. Selected microRNAs were studied in serum from MRCC patients and healthy individuals. Methods: We screened 673 microRNAs using TaqMan Low-density Arrays (TLDAs) in tumors from MRCC patients with extreme phenotypes of marked efficacy and resistance to sunitinib, selected from an identification cohort (n=41). Differentially expressed microRNAs were selected using bioinformatics-based target prediction analysis and quantified by qRT-PCR in tumors from patients presenting similar phenoytpes selected from an independent cohort (n=117). Results were validated in a cellular model of sunitinib resistance and studied in serum from healthy individuals and MRCC patients. Results: TLDAs identified 64 microRNAs differentially expressed in the identification cohort. Seven candidates were quantified by qRT-PCR in the independent series. MiR-942 was the most accurate predictor of sunitinib efficacy (p=0.0074). High expression of miR-942, miR-133a, miR484, and miR-628-5p was significantly associated with decreased time-to-progression and overall survival. These microRNAs were overexpressed in the sunitinib resistant cell line Caki-2 in comparison with the sensitive parental cell line. Serum levels of miR-942, miR-133a, miR-484, miR-146a-5p, miR-374a and miR-486-5p were significantly reduced in MRCC patients compared to healthy controls. Conclusions: Our strategy identified differentially expressed microRNAs in MRCC patients presenting marked sensitivity and resistance to sunitinib. Mir-942 was the best predictor of efficacy. Results were confirmed in a cellular model of sunitinib resistance. We also identified exosome derived serum microRNAs differentially expressed in MRCC patients and healthy individuals. Taqman Low Density Array for 6 FFPE tissues obtained from extreme phenotype MRCC patients, (n=3 marked resistance to sunitinib treatment patients and n=3 marked sensitivity to sunitinib treatment patients), was performanced to screen 667 microRNAs.

Dataset Information

MicroRNA expression data from human high-density lipoproteins.

Publications

HDL-transferred microRNA-223 regulates ICAM-1 expression in endothelial cells.

Similar Datasets

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