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RNA sequencing of human monocyte-derived dendritic cells stimulated with CLEC10A ligand glycodendrimers in the presence of Pam3CysK4

GSE277565 Homo sapiens (human) RNA-seq (gene expression) 24 samples Submitted 2025/11/01 Platform GPL34284
At a glance

RNA-seq (gene expression) · human · 24 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
24 samples: 24 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
Ligand-specific tuning of CLEC10A signalling strength and dendritic cell responses through engagement of different GalNAc-containing glycan structuresThe FEBS journal · 2026
Summary (written by the submitters)
To investigate ligand-specific responses via CLEC10A in human monocyte-derived dendritic cells, five CLEC10A ligands were coupled to dendrimers. The ligands consist of alfa-GalNAc and the GalNAc-containing structures Forssman antigen, blood group A antigen, asialo GM2, and GM2. The human dendritic cells of 4 independent donors were stimulated with these glycodendrimers or a control dendrimer (coupled to C6 chain) for 5 hours in the presence of TLR stimulus Pam3CysK4. Total RNA was isolated and sequenced.
Published in
Ligand-specific tuning of CLEC10A signalling strength and dendritic cell responses through engagement of different GalNAc-containing glycan structures
van der Meijs NL, Hatinguais R, de Kok M et al. · The FEBS journal 2026 · PMID 41241848 · doi:10.1111/febs.70317
This dataset
Open GSE277565 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 GSE277565_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 PRJNA1162822 and SRA study SRP533611. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41241848) ↗
Study design
24 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 24 sample titles: 24 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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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.