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Characterization of human M2-like (TGFbeta/IL10) vs M0 monocyte-derived macrophages

GSE335752 Homo sapiens (human) RNA-seq (gene expression) 36 samples Submitted 2026/06/21 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 36 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
Homo sapiens (human)
Samples
36 samples: 33 distinct titles, 3 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
Targeting CD24 Activates Macrophages to Reduce Tumor Burden in Preclinical Models of Solid TumorsClinical cancer research : an official journal of the American Association for Cancer Research · 2026
Summary (written by the submitters)
Peripheral human monocytes from different human donors were differentiated into M2-like (TGFbeta/IL10) or M0 and analyzed by RNAseq.
Published in
Targeting CD24 Activates Macrophages to Reduce Tumor Burden in Preclinical Models of Solid Tumors
Faget DV, Brewer RE, Sampaio J et al. · Clinical cancer research : an official journal of the American Association for Cancer Research 2026 · PMID 42478960 · doi:10.1158/1078-0432.CCR-26-0481
This dataset
Open GSE335752 in finder → Find more human 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 GSE335752_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 PRJNA1479371 and SRA study SRP710397. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42478960) ↗
Study design
33 distinct titles, 3 of them repeated
D7824 M ×2 D7825 M ×2 D4977 M ×2

How we read this: Read from 36 sample titles: 33 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
Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

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