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Complex interaction of tumor-derived factors instructs the niche specific phenotypes of tumor-associated macrophages (in vivo RNA-Seq)

GSE269030 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/08/03 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 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.
Paper
Functional Genetic Screens Reveal Key Pathways Instructing the Molecular Phenotypes of Tumor-Associated MacrophagesCancer immunology research · 2025
Summary (written by the submitters)
Despite the importance of tumor-associated macrophages (TAMs) in modulating anti-tumor immunity, the molecular determinants of their functional phenotypes remain elusive. Through a large-scale CRISPR screen, we discovered that tumor-derived lactic acid, PGE2, and GM-CSF collaboratively shape the highly conserved but mutually exclusive TAM phenotypes: MHC-II+ and angiogenic TAMs.
Read the full summary ↓
Mechanistically, the dichotomous nature of these two phenotypes is driven by the antagonistic interactions between lactic acid/PGE2 and GM-CSF. Lactic acid and PGE2 coordinately induce the angiogenic gene program while suppressing the GM-CSF-induced MHC-II program at chromatin level. This mechanism leads to distinct spatial distribution of TAMs, with angiogenic TAMs in lactate-rich hypoxic regions and MHC-II+ TAMs outside these areas. Furthermore, in vivo genetic perturbation of TAMs showed that shifting TAMs to an interferon responsive program, triggered by Adar inactivation, substantially potentiates anti-tumor immunity. Our findings suggest a conserved mechanism of TAM polarization and a potential approach for reprogramming TAMs in immunotherapy.
Published in
Functional Genetic Screens Reveal Key Pathways Instructing the Molecular Phenotypes of Tumor-Associated Macrophages
Lu Y, Luo C, Huang L et al. · Cancer immunology research 2025 · PMID 40906823 · doi:10.1158/2326-6066.CIR-25-0488
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 GSE269030_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 PRJNA1119983 and SRA study SRP511627. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 12 more — browse all 12 samples with per-sample file links →

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