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Lack of TREM2 during anti-PD-1 therapy reprograms intestinal macrophages and microbiota to enhance tumor rejection

GSE262811 Mus musculus (mouse) RNA-seq (gene expression) 32 samples Submitted 2024/05/17 Platform GPL17021Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 32 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
32 samples: 24 distinct titles, 7 of them repeatedGroups 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.
Paper
TREM2 deficiency reprograms intestinal macrophages and microbiota to enhance anti-PD-1 tumor immunotherapyScience immunology · 2024
Summary (written by the submitters)
The gut microbiota and tumor-associated macrophages (TAM) impact anti-PD-1 checkpoint blockade. Reprogramming TAM by either blocking or deleting the macrophage receptor TREM2 attenuates tumor growth, and lack of functional TREM2 enhances tumor elimination by anti-PD-1. Here, we found that anti-PD-1 combined with TREM2 deficiency induces proinflammatory programs in intestinal macrophages and a concomitant expansion of Ruminococcus gnavus (R.
Read the full summary ↓
gnavus) in the gut microbiota. Gavage of wild-type mice with R. gnavus recapitulated enhancement of anti-PD-1-mediated tumor elimination occurring in the absence of TREM2. The intestinal proinflammatory environment coincided with expansion, increased circulation and migration of TNF-producing CD4+ T cells to the tumor bed. Thus, TREM2 remotely controls anti-PD-1 checkpoint blockade through modulation of the intestinal immune environment and microbiota, with R. gnavus emerging as a potential probiotic agent for increasing responsiveness to anti-PD-1.
Published in
TREM2 deficiency reprograms intestinal macrophages and microbiota to enhance anti-PD-1 tumor immunotherapy
Di Luccia B, Molgora M, Khantakova D et al. · Science immunology 2024 · PMID 38758808 · doi:10.1126/sciimmunol.adi5374
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 GSE262811_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 PRJNA1093426 and SRA study SRP498664. Searching any of these in the dataset finder brings you back here.

Study design
24 distinct titles, 7 of them repeated
MCA1956_CD45_Rg_4 ×3 MCA1956_CD45_CTRL_2 ×2 MCA1956_CD45_Rg_3 ×2 ColonLP_myeloid_WT ×2 ColonLP_myeloid_KO ×2 ColonLP_myeloid_WT_aPD1 ×2 ColonLP_myeloid_KO_aPD1 ×2

How we read this: Read from 32 sample titles: 24 distinct titles with little repetition. 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
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