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Cellular Aging of Mesenchymal Stem Cells (miRNA)

GSE9664 Homo sapiens (human) Non-coding RNA profiling 14 samples Submitted 2008/07/29 Platform GPL6127
At a glance

Non-coding RNA profiling · human · 14 samples

What it is
Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
Organism
Homo sapiens (human)
Samples
14 samples: 10 × miRNA BM-MSC_donor1–P vs 2 × miRNA BM-MSC_donor2–P vs 2 × miRNA BM-MSC_donor3–PGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Summary (written by the submitters)
To determine miRNA expression changes during in vitro senescence of mesenchymal stem cells (MSC) we have analyzed differential expression of the corresponding early passage (P2) and senescent passage (PX). Keywords: miRNA, senescence, mesenchymal stromal cells, mesenchymal stem cells, MSC
This dataset
Download · which file do I need?

Direct links to NCBI, 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.

All supplementary files ↗
3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE9664_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

Also filed as BioProject PRJNA103541. Searching any of these in the dataset finder brings you back here.

Study design
10 × miRNA BM-MSC_donor1–P vs 2 × miRNA BM-MSC_donor2–P vs 2 × miRNA BM-MSC_donor3–P

Supports a between-group comparison across 14 samples.

How we read this: 3 replicated groups read from 14 sample titles; they account for 14 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
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