GEO series

lincRNAs act in the circuitry controlling pluripotency and differentiation

GSE30245 Mus musculus (mouse) Non-coding RNA profiling 449 samples Submitted 2011/08/30 Platform GPL13767

At a glance

Non-coding RNA profiling · mouse · 449 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: 449 samples
Data you can get: A processed expression table (series matrix) and the array files, from NCBI.

Summary (written by the submitters)

While thousands of large intergenic non-coding RNAs (lincRNAs) have been identified in mammals, few have been functionally characterized leading to debate about their biological role. To address this, we performed loss-of-function studies on most lincRNAs expressed in mouse embryonic stem cells (ESC) and characterized the effects on gene expression.

Read the full summary ↓

Here we show that knockdown of lincRNAs have major consequences on gene expression patterns, comparable to knockdown of well-known ESC regulators. Notably, lincRNAs primarily affect gene expression in trans. We identify dozens of lincRNAs whose knockdown causes an exit from the pluripotent state or upregulation of lineage commitment programs. We integrate lincRNAs into the molecular circuitry of ESCs and show that lincRNA genes are regulated by key transcription factors and that lincRNA transcripts physically bind to multiple chromatin regulatory proteins to affect shared gene expression programs. Together, the results demonstrate that lincRNAs have key roles in the circuitry controlling ESC state.

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 (GSE30245_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 PRJNA143775. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 21874018) ↗

Samples in this study

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+ 449 more — browse all 449 samples with per-sample file links →

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