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Digital gene expression (DGE) sequencing of 10 pairs samples between kidney normal tissue and cancer tissue

GSE24455 Homo sapiens (human) RNA-seq (gene expression) 20 samples Submitted 2013/09/29 Platform GPL9115
At a glance

RNA-seq (gene expression) · human · 20 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
20 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Summary (written by the submitters)
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%).
Read the full summary ↓
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
This dataset
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE24455_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA133499 and SRA study SRP003901. Searching any of these in the dataset finder brings you back here.

Samples in this study

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