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Transcriptomic characterization of CD206- and CD206+ macrophages in human pancreatic islets and exocrine tissue

GSE281600 Homo sapiens (human) RNA-seq (gene expression) 59 samples Submitted 2025/04/16 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 59 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
59 samples: 59 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
Transcriptomic characterization of human pancreatic CD206- and CD206 + macrophagesScientific reports · 2025
Summary (written by the submitters)
Macrophages reside in all organs and participate in homeostatic- and immune regulative processes. Little is known about pancreatic macrophage gene expression. CD206 is an endocytic receptor with prior use in subclassifying macrophages. In the present study, global gene expression was characterized in human pancreatic macrophage subpopulations.
Read the full summary ↓
Flow cytometry was used to sort CD206- and CD206+ macrophages separately from pancreatic islets and exocrine tissue to high purity. RNA-seq generated transcriptomic profiles were then analyzed. Comparing CD206- with CD206+ macrophages, CD206- showed enrichment in proliferation and nucleic acid processing, glycolysis, pro-inflammatory and SPP1-associated gene sets while CD206+ showed enrichment in complement-, IL-10 and IL-2RA immune regulation, as well as scavenging-related gene sets. Two sets involved in immune regulation were enriched in islet CD206-, while various sets including some proinflammatory sets were enriched in exocrine CD206- macrophages. Fewer differences were found between CD206+ macrophages, with enrichment in two IL2-RA related gene sets in islets and eight gene sets in exocrine samples. Comparing macrophages between individuals with normoglycemia, elevated HbA1c or type 2 diabetes, only a few diverse differentially expressed genes were identified. This work characterizes global gene expression and identifies differences between CD206- and CD206+ macrophage populations within the human pancreas.
Published in
Transcriptomic characterization of human pancreatic CD206- and CD206 + macrophages
Jonsson A, Korsgren O, Hedin A · Scientific reports 2025 · PMID 40199933 · doi:10.1038/s41598-025-96313-y
This dataset
Open GSE281600 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 GSE281600_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 PRJNA1184777 and SRA study SRP544499. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40199933) ↗
Study design
59 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 59 sample titles: 59 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

+ 19 more — browse all 59 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

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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.