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Effect of pancreatic cancer derived extracellular vesicles on bone marrow drived macrophages

GSE285193 Mus musculus (mouse) Non-coding RNA profiling 18 samples Submitted 2025/12/22 Platform GPL24676Platform GPL24247
At a glance

Non-coding RNA profiling · mouse · 18 samples

What it is
Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
Organism
Mus musculus (mouse)
Topic
Pancreatic cancerThis series is part of our curated briefing on it.
Samples
18 samples: 6 conditions, mostly in triplicateGroups 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
Extracellular vesicle-derived miRNA-182-5p educates macrophages towards an immunosuppressive phenotype in pancreatic cancerSignal transduction and targeted therapy · 2026
Summary (written by the submitters)
Our results show that PaCa cell derived EVs were taken up by the macrophage in a time-dependent manner that resulted in an immunosuppressive phenotype characterized by higher expression of CD206 and PD-L1 and higher secretion of immunosuppressive cytokines including TGF-beta, IL-10 and GM-CSF.
Published in
Extracellular vesicle-derived miRNA-182-5p educates macrophages towards an immunosuppressive phenotype in pancreatic cancer
Singh B, Gaur P, Bose P et al. · Signal transduction and targeted therapy 2026 · PMID 41545338 · doi:10.1038/s41392-025-02559-3
This dataset
Open GSE285193 in finder → Find more datasets → Pancreatic cancer landscape →
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 GSE285193_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 ↗

Also filed as BioProject PRJNA1201773 and SRA study SRP553431. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41545338) ↗
Study design
6 conditions, mostly in triplicate
hTERT HPNE EVs, ×3 PANC-1 EVs, ×3 PPCL-68 EVs, ×3 hTERT HPNE EVs treated BMDM, ×3 PANC-1 EVs treated BMDM, ×3 PPCL-68 EVs treated BMDM, ×3

Supports a between-group comparison across 18 samples.

How we read this: 6 replicated groups read from 18 sample titles; they account for 18 of them. 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
More Pancreatic cancer datasets

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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.