← BioTransfer GEO Dataset Finder
GEO series

Gene expression profiling of cell subpopulations from a mouse model of glioma

GSE79437 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2016/12/16 Platform GPL9185
At a glance

RNA-seq (gene expression) · mouse · 10 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
10 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)
As a starting point for dissecting the cellular heterogeneity of gliomas, different subpopulations from a CRISPR mouse model of glioma were profiled for gene expression. Because we initially identified these astrocyte subpopulations in the mouse brain, we first sought to determine whether their malignant analogues are present in mouse models of glioma.
Read the full summary ↓
Towards this, we recently developed a mouse model of malignant glioma, one that utilizes E16.5 IUE approaches in combination with CRISPR mediated gene editing, where we use IUE to introduce gRNA vectors to delete NFI, PTEN, and p53, CAS9, and a GFP reporter, resulting in the generation of malignant glioma at P70. Using the GFP label to distinguish tumor from normal brain tissue, along with FACS-based selection against the glioma stem cell (GSC) and endothelial cells (see methods), we screened our tumor models for the presence of these prospective astroglial populations in the non-GSC fractions of these tumors.
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 GSE79437_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 PRJNA315848 and SRA study SRP072114. 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.

+ 10 more — browse all 10 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.