GEO series

A Mammalian microRNA Expression Atlas Based on Small RNA Library Sequencing

GSE7233 Mus musculus (mouse) Non-coding RNA profiling 6 samples Submitted 2007/06/17 Platform GPL4867

At a glance

Non-coding RNA profiling · mouse · 6 samples

What it is: Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
Organism: Mus musculus (mouse)
Samples: 6 samples
Data you can get: A processed expression table (series matrix) and the array files, from NCBI.

Summary (written by the submitters)

MicroRNAs (miRNAs) are small non-coding regulatory RNAs that reduce stability and/or translation of fully or partially sequence-complementary target mRNAs. In order to identify miRNAs and to assess their expression patterns, we sequenced over 250 small RNA libraries from 26 different organ systems and cell types of human and rodents, enriched in euronal as well as normal and malignant hematopoietic cells and tissues.

Read the full summary ↓

We present expression profiles derived from clone count data and provide novel computational tools for their analysis. Unexpectedly, a relatively small set of miRNAs, many of which are ubiquitously expressed, account for most of the difference in miRNA profiles between cell lineages and tissues. This broad survey also provides detailed and accurate information about mature sequences, precursors, genome locations, maturation processes, inferred transcriptional units and conservation patterns. We also propose a subclassification scheme for miRNAs for assisting future experimental and computational functional analyses. Keywords: miRNA microarray; expression profiling

This dataset

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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.

Series matrix ↓

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 (GSE7233_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

Whole study · RAW.tar ↓

Also filed as BioProject PRJNA97913. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 17604727) ↗

Samples in this study

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