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Interferon-γ drives T reg fragility to promote anti-tumor immunity

GSE97939 Mus musculus (mouse) RNA-seq (gene expression) 45 samples Submitted 2017/05/22 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 45 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
45 samples: 18 conditions, mostly in triplicateGroups are read from the sample names, not from the paper. Check the list below.
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)
Regulatory T cells (Tregs) are a barrier to effective anti-tumor immunity. Neuropilin-1 (Nrp1) is required to maintain intratumoral Treg stability and function but is dispensable for peripheral immune homeostasis, Treg-restricted Nrp1 deletion in mice results in profound tumor resistant due to Treg functional fragility. Drivers of Treg fragility, the mechanistic basis of Nrp1 dependency, and the relevance of these processes for human cancer and immunotherapy remain unknown.
Read the full summary ↓
NRP1 expression on human Tregs in melanoma and HNSCC was highly heterogeneous and correlated with prognosis. Using a mouse model of melanoma in which mutant Nrp1-deficient (Nrp1–/–) and wild type (WT) Tregs could be assessed in a competitive environment, we found that a high proportion of intratumoral Nrp1–/– Tregs produce interferon-γ (IFNγ), which in turn drove the fragility of surrounding WT Tregs, boosting anti-tumor immunity and facilitating tumor clearance. We also show that IFNγ-induced Treg fragility is required for an effective response to PD1 immunotherapy, suggesting that cancer therapies promoting Treg fragility may be efficacious .
This dataset
Open GSE97939 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 GSE97939_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 PRJNA383402 and SRA study SRP104179. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 28552348) ↗
Study design
18 conditions, mostly in triplicate
HNG ×3 HNY ×3 HTG ×3 HTY ×3 NN ×3 NT ×3 TE ×3 WN ×3 +10 more

Supports a between-group comparison across 45 samples.

How we read this: 18 replicated groups read from 45 sample titles; they account for 45 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study

+ 5 more — browse all 45 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.