GEO series

Divergent roles of ALS-linked proteins FUS/TLS and TDP-43 intersect in processing long pre-mRNAs (RNA-Seq)

GSE40652 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2012/09/30 Platform GPL9250

At a glance

RNA-seq (gene expression) · mouse · 18 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: 18 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)

FUS/TLS and TDP-43 are RNA/DNA-binding proteins integrally involved in amyotrophic lateral sclerosis (ALS) and frontal temporal dementia. FUS/TLS is shown to bind RNAs from >5,500 genes in mouse and human brain, primarily through a GUGGU binding motif. A characteristic sawtooth-like binding pattern is identified, supporting co-transcriptional deposition of FUS/TLS.

Read the full summary ↓

Depletion of FUS/TLS from the adult nervous system is shown to alter levels or splicing of >970 mRNAs, most of which are distinct from the RNAs whose maturation is dependent on TDP-43. Nonetheless, only 55 RNAs are reduced upon depletion of either TDP-43 or FUS/TLS from mouse brain and human neurons differentiated from pluripotent stem cells, including mRNAs transcribed from genes with exceptionally long introns and that encode proteins essential for neuronal integrity. A subset of these is significantly lowered in FUS/TLSR521G and TDP-43G298S mutant fibroblasts and in TDP-43 aggregate-containing motor neurons in sporadic ALS, evidence pointing to a common loss-of-function pathway as one component underlying motor neuron death from misregulation of TDP-43 or FUS/TLS.

This dataset

Open GSE40652 in finder → Find more mouse RNA-seq datasets →

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.

Series matrix ↓

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 GSE40652_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓

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.

Raw reads on ENA ↗

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 PRJNA174534 and SRA study SRP015437. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 23023293) ↗

Samples in this study

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+ 18 more — browse all 18 samples with per-sample file links →

Datasets on a similar topic

GSE27218 Disrupted processing of long pre-mRNAs and widespread RNA missplicing are components of neuronal vulnerability from loss of nuclear TDP-43 (RNA-seq) 21 samples shares tdp-43, processing, pre-mrnas
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GSE297399 Viral-mediated knockdown of Atxn2 attenuates TDP-43 pathology and muscle dysfunction in the PFN1C71G ALS mouse model 52 samples shares tdp-43

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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.