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Molecular analysis of endothelial and immune cells after anti-angiogenic cancer immunotherapy

GSE94920 Mus musculus (mouse) RNA-seq (gene expression) 63 samples Submitted 2017/04/26 Platform GPL17021
At a glance

RNA-seq (gene expression) · mouse · 63 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
63 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)
Organism: Mus musculus Experiment type: Gene expression profiling by high throughput sequencing Summary: Pathological angiogenesis is a hallmark of cancer and therapeutic target. Vascular-endothelial growth factor-A (VEGFA) and angiopoietin-2 (ANGPT2/ANG2) sustain tumor angiogenesis and limit anti-tumor immunity. We show that combined ANGPT2 and VEGFA blockade by mono-specific antibodies (LC06 + B20) or a bi-specific antibody (A2V) provides synergistic anti-tumoral benefits in both transgenic and transplant tumor models.
Read the full summary ↓
We further show that that combination of agonistic anti-CD40 or blocking anti-PD1 antibodies with ANGPT2/VEGFA blockade improves therapeutic response and induces pleiotropic immune mechanisms that facilitate tumor control.
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 GSE94920_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 PRJNA374860 and SRA study SRP099843. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 63 more — browse all 63 samples with per-sample file links →

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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.