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Effect of genetic modification of extracellular matrix-related genes on B16F1 melanoma progression

GSE271194 Mus musculus (mouse) RNA-seq (gene expression) 15 samples Submitted 2025/05/28 Platform GPL34290Platform GPL21626
At a glance

RNA-seq (gene expression) · mouse · 15 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
15 samples: 11 distinct titles, 2 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
Loss of the extracellular protease ADAMTS1 reveals an antitumorigenic program involving the action of NIDOGEN-1 on macrophage polarizationOncoimmunology · 2025
Summary (written by the submitters)
Recent research highlighted the contribution of extracellular matrix, and particularly of ADAMTS proteases, in immune regulation. Now, our work with melanoma and mammary tumor models revealed that tumor blockade induced by the lack of Adamts1 led to an increased vascular deposition of its substrate, the basement membrane glycoprotein NIDOGEN-1 (NID1).
Read the full summary ↓
Significantly, the overexpression of NID1 in the melanoma syngeneic model also blocked tumor progression, disclosing an overlapping phenotype with the absence of Adamts1. These tumors showed important alterations in their immune infiltrates, emphasizing an enhanced presence of antitumorigenic macrophages and a global inflammatory landscape. We corroborated in vitro that full length NID1, but not its fragments, promoted an M1-like macrophage polarization, mainly mediated by the αvβ3 integrin. Significantly, the projection of RNA-seq from our tumor models to two large human melanoma datasets allowed us to discover a new gene signature associated with good prognosis and the abundance of M1-like macrophages. These results support NID1 as a novel tumor suppressor with immunomodulatory properties, and unveil the existence of key oncological drivers in the extracellular scenario.
Published in
Loss of the extracellular protease ADAMTS1 reveals an antitumorigenic program involving the action of NIDOGEN-1 on macrophage polarization
Caracuel-Peramos R, Rodríguez-Baena FJ, Redondo-García S et al. · Oncoimmunology 2025 · PMID 40401531 · doi:10.1080/2162402X.2025.2508057
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 GSE271194_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 PRJNA1130440 and SRA study SRP517287. Searching any of these in the dataset finder brings you back here.

Study design
11 distinct titles, 2 of them repeated
B16F1 CD11b_cells ×3 B16Nid1 CD11b_cells ×3

How we read this: Read from 15 sample titles: 11 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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