Macrophages foster anti-tumor immunity by ZEB1-dependent cytotoxic T cell chemoattraction
RNA-seq (gene expression) · mouse · 18 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
- 18 samples: 18 samples, each with a distinct title — no replicated groupsGroups 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
- Macrophages foster anti-tumor immunity by ZEB1-dependent cytotoxic T cell chemoattractionCommunications biology · 2025
Read the full summary ↓
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE286348_RAW.tar (it can run to tens of gigabytes).
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 PRJNA1208954 and SRA study SRP556465. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 18 sample titles: 18 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.
- GSM8724455 A196,ZEB1LysMCtrl,24h,M0
- GSM8724456 B106,ZEB1LysMCtrl,24h,LPS
- GSM8724457 B106,ZEB1LysMCtrl,24h,Il-4
- GSM8724458 B109,ZEB1LysMDel,24h,M0
- GSM8724459 B109,ZEB1LysMDel,24h,LPS
- GSM8724460 B109,ZEB1LysMDel,24h,Il-4
- GSM8724461 B116,ZEB1LysMCtrl,24h,M0
- GSM8724462 8181,ZEB1LysMCtrl,24h,LPS
- GSM8724463 B116,ZEB1LysMCtrl,24h,Il-4
- GSM8724464 B119,ZEB1LysMDel,24h,M0
- GSM8724465 B119,ZEB1LysMDel,24h,LPS
- GSM8724466 B119,ZEB1LysMDel,24h,Il-4
- GSM8724467 C666,ZEB1LysMCtrl,24h,M0
- GSM8724468 C666,ZEB1LysMCtrl,24h,LPS
- GSM8724469 C666,ZEB1LysMCtrl,24h,Il-4
- GSM8724470 C671,ZEB1LysMDel,24h,M0
- GSM8724471 C671,ZEB1LysMDel,24h,LPS
- GSM8724472 C671,ZEB1LysMDel,24h,Il-4
- GSE207029 Blockade of avb8 integrin synergizes with checkpoint inhibition to enhance anti-tumor immunity through Cxcl9-dependent augmentation of CD8+ T cell cytotoxicity 12 samples shares anti-tumor, cytotoxic, immunity
- GSE278990 Single-cell screens identify ADAM12 as a fibroblast checkpoint impeding anti-tumor immunity 73 samples shares anti-tumor, immunity
- GSE316541 α2,6-Sialoglycan-regulated anti-tumor immunity of tumor-infiltrating CD8+ T cells in the tumor microenvironment [CD8+T] 27 samples shares anti-tumor, immunity
- GSE234974 Pan-cancer mapping of single CD8+ T cell profiles reveals a TCF1:CXCR6 axis regulating CD28 co-stimulation and anti-tumor immunity I 24 samples shares anti-tumor, immunity
- GSE245838 Anchored screening identifies transcription factor blueprints underlying dendritic cell diversity and subset-specific anti-tumor immunity [mouse scRNA-seq] 21 samples shares anti-tumor, immunity
- GSE277610 Endothelial PD-L1 brakes CD8+ T cell exhaustion, empowering anti-tumor immunity in non-small cell lung cancer 17 samples shares anti-tumor, immunity
- GSE313761 Single-cell screens identify ADAM12 as a fibroblast checkpoint impeding anti-tumor immunity - scRNA-seq of Adam12CKO Mouse Model CD45- cells 11 samples shares anti-tumor, immunity
- GSE316540 α2,6-Sialoglycan-regulated anti-tumor immunity of tumor-infiltrating CD8+ T cells in the tumor microenvironment 9 samples shares anti-tumor, immunity
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.