← BioTransfer GEO Dataset Finder
GEO series

RNA-Seq characterization of select lincRNA knockout mouse models

GSE49581 Mus musculus (mouse) RNA-seq (gene expression) 21 samples Submitted 2013/11/30 Platform GPL13112Platform GPL17021
At a glance

RNA-seq (gene expression) · mouse · 21 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
Mus musculus (mouse)
Samples
21 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)
It has become clear that long intergenic noncoding RNAs (lincRNAs) are an important layer of genome regulation. Thousands have been identified in mammals, yet only a few have been tested through genetic ablation in animal models. Of the few that have, many yields weak to unobservable phenotypes, raising the question of their in vivo relevance.
Read the full summary ↓
To more broadly investigate the functional relevance of lincRNAs in physiological conditions, we developed a collection of 18 lincRNA knockout strains. We found that two knockout strains, linc-Sox2 and linc-Foxf1a (Fendrr), exhibit perinatal lethal phenotypes in addition to multiple developmental abnormalities. Notably, in depth analysis of a third mutant strain, linc-Brn1b-/-, revealed defects in brain development, with distinct abnormalities in class-specific generation of upper layer II/III-IV neurons in the neocortex. Thus far, we found at least 6 of 18 mutant strains exhibit distinct developmental or lethality phenotypes. Therefore, this study demonstrates that lincRNAs are required for life and play critical roles during mammalian development, highlighting the importance of studying them further to better understand the molecular mechanisms leading to disease.
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 GSE49581_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 PRJNA214363 and SRA study SRP028547. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 21 more — browse all 21 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.