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Effect of IL-8 and VEGFA on polarization of tumor-associated macrophages

GSE283259 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2025/02/26 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 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
Homo sapiens (human)
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
MMP28 recruits M2-type tumor-associated macrophages through MAPK/JNK signaling pathway-dependent cytokine secretion to promote the malignant progression of pancreatic cancerJournal of experimental & clinical cancer research : CR · 2025
Summary (written by the submitters)
We demonstrated in a previous study that IL-8 and VEGFA have a role in recruiting and polarizing macrophages. To fully confirm the specific mechanisms by which IL-8 and VEGFA secreted by pancreatic cancer cells affect macrophage polarization, we performed transcriptome sequencing on groups of macrophages after treatment of the co-culture system with anti-IL-8 and anti-VEGFA neutralizing antibodies.
Published in
MMP28 recruits M2-type tumor-associated macrophages through MAPK/JNK signaling pathway-dependent cytokine secretion to promote the malignant progression of pancreatic cancer
Dong S, Li X, Chen Z et al. · Journal of experimental & clinical cancer research : CR 2025 · PMID 39972459 · doi:10.1186/s13046-025-03321-x
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 GSE283259_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 PRJNA1192969 and SRA study SRP548633. 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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