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miRNA sequencing of 10 pairs samples between kidney normal tissues and cancer tissue

GSE24457 Homo sapiens Non-coding RNA profiling by high throughput sequencing 20 samples Submitted 2013/09/29 Platform GPL9115
Summary
we combined their genome-wide profiles of tumors and normal adjacent tissues in 10 ccRCC patients. The results showed that 283 miRNAs were down-regulated and 187 up-regulated, meanwhile 7473 mRNAs were up-regulated and 3439 down-regulated in ccRCC. Expressions of 12 miRNAs and genes were validated in 10 patients we studied by RT-qPCR (validation rate from 60% to 100%). Differentially expressed gene analysis showed the collective change of miR-200 and SLC22A gene family, and pathway analysis revealed down-regulation of multiple metabolic pathways and up-regulation of focal adhesion, ECM-receptor interaction, etc. Moreover, A miRNA cluster located in chromosome Xq27.3 were significantly down-regulated in ccRCC, which were verified in 53 ccRCC patients by RT-qPCR (validation rate from 63.8% to 88.6%).56 and 586 potentially novel miRNAs and mRNA we detected according to statistical analyses. In addition, 14 miRNA candidates were randomly selected to validate using qRT-PCR and Sanger sequcencing technology, 10 of out 14 could be successfully amplified,.Plus, the sequences of all 5 randomly selected amplified products were confirmed by cloned Sanger sequencing.Our data demonstrated a combined profiling of miRNAs and mRNAs in ccRCC, which showed the decreased metabolism and the perturbation of renal cell function. Moreover, this study identified the expression alteration of a miRNA cluster on Xq27.3, which suggested its potential function in carcinogenesis of ccRCC
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Direct links to NCBI, no account and no request form: the whole study as GSE24457_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 20 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA133501 and SRA study SRP003902. Searching any of these in the dataset finder brings you back here.

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