← BioTransfer GEO Dataset Finder
GEO series

ST8Sia6-dependent glycosylation restrains gut inflammation and pathogenic Th1 and Th17 programs

GSE318707 Mus musculus (mouse) Single-cell RNA-seq 18 samples Submitted 2026/03/22 Platform GPL24247
At a glance

Single-cell RNA-seq · mouse · 18 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Mus musculus (mouse)
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
ST8Sia6-dependent glycosylation restrains gut inflammation and pathogenic T(h)1 and T(h)17 programsCell reports · 2026
Summary (written by the submitters)
Single-cell suspensions of small bowel lamina propria, small bowel epithelium, and whole colon were purified from mice sufficient, deficient, and heterozygous for sialic acid transferase ST8Sia6. Cells were enriched for CD45 expression, hashtagged according to genotype, and analyzed by 10x scRNA sequencing using the Illumina Novaseq 6000 as well as by 10X CITEseq to identify hashtags.
Published in
ST8Sia6-dependent glycosylation restrains gut inflammation and pathogenic T(h)1 and T(h)17 programs
Crotts SB, Barnes JT, Antonetti RM et al. · Cell reports 2026 · PMID 42134318 · doi:10.1016/j.celrep.2026.117347
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 GSE318707_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1419813 and SRA study SRP675319. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly in triplicate
GEX_SB-EP ×3 GEX_SB-LP ×3 GEX_Colons ×3 CITE_SB-EP ×3 CITE_SB-LP ×3 CITE_Colons ×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
Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.