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Integrated target discovery screens identify IL11 as novel therapeutic target for fibrosis [mouse]

GSE96991 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2017/11/22 Platform GPL19057
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)
Cardiac fibrosis is the final common pathology in heart disease. Here we establish an integrated imaging-genomic discovery platform using primary human heart fibroblasts to identify new drug targets for cardiac fibrosis. Genome wide analyses identify IL11, a secreted cytokine amenable to therapeutic inhibition, as the leading pro-fibrotic candidate.
Read the full summary ↓
We demonstrate an autocrine loop of IL11 activity that is critical for fibrosis and acts as a nexus of signalling convergence for multiple pro-fibrotic stimuli. IL11 signals in cis and trans via the ERK cascade to activate a programme of fibrosis primarily at the level of protein translation. Injection of IL11 to mice causes fibrosis of the heart, kidney, lung, skin and liver whereas genetic ablation of the IL11 receptor prevented fibrosis across tissues. These data define a new non-canonical fibrogenic pathway and prioritise IL11 as a novel therapeutic target for fibrosis of the heart and other organs
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 GSE96991_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 PRJNA380340 and SRA study SRP102432. Searching any of these in the dataset finder brings you back here.

Samples in this study

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

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