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RNA-sequencing of non-senescent and senescent mouse skin fibroblast

GSE78128 Mus musculus (mouse) RNA-seq (gene expression) 6 samples Submitted 2017/02/10 Platform GPL13112
At a glance

RNA-seq (gene expression) · mouse · 6 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
6 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)
Mouse skin fibroblasts (MSFs) were obtained from a FASST (Fibroblasts Accelerate Stromal-Supported Tumorigenesis) mouse. This mouse model allows for spatial and temporal control for senescence induction by using a stromal specific Cre-recombinase driven by the pro-collagen-alpha II promoter. The stromal specific Cre activates expression of the p27IRESGFP transgene that is expressed from the ROSA locus.
Read the full summary ↓
We cultured the MSFs in vitro, induced senescence using 10uM tamoxifen added to the media. Non-senescent cells were treated with equal volume of vehicle alone (ethanol). Upon tamoxifen treatment, cells were moved to a modular incubation chamber and maintained at 3% oxygen at 37 degrees celcius for 12 days total before collection. At the time of collection, cells were trypsynized and pelleted by centrifugation. The cells were lysed using Trysol reagent and RNA was isolated using a RiboPure RNA isolation kit (Ambion).
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 GSE78128_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 PRJNA312668 and SRA study SRP070582. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 6 more — browse all 6 samples with per-sample file links →

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