← BioTransfer GEO Dataset Finder
GEO series

Single cell and Spatial RNA-seq in Oral Squamous Cell Carcinoma with Different Stage

GSE310797 Homo sapiens (human) Single-cell RNA-seq 19 samples Submitted 2026/02/26 Platform GPL29480
At a glance

Single-cell RNA-seq · human · 19 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Homo sapiens (human)
Topic
Head and neck cancerThis series is part of our curated briefing on it.
Samples
19 samples: 16 × OSCC vs 3 × SP_arrayGroups 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
Spatial heterogeneity of MDSCs mediated by ANXA1-FPRs signaling drives immune suppression in OSCC progressionNature communications · 2026
Summary (written by the submitters)
To investigate the dynamic changes in the tumor microenvironment during the progression of oral squamous cell carcinoma (OSCC), we collected 16 treatment-naïve OSCC samples for single-cell RNA sequencing (scRNA-seq). Among these, 6 cases were additionally subjected to spatial transcriptomic profiling to capture the tissue architecture and spatial organization of the tumor microenvironment.
Published in
Spatial heterogeneity of MDSCs mediated by ANXA1-FPRs signaling drives immune suppression in OSCC progression
Li F, Han Y, Ou F et al. · Nature communications 2026 · PMID 41851114 · doi:10.1038/s41467-026-70861-x
This dataset
Open GSE310797 in finder → Find more human RNA-seq datasets → Head and neck 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 GSE310797_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: 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 PRJNA1348242 and SRA study SRP637333. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41851114) ↗
Study design
16 × OSCC vs 3 × SP_array

Supports a between-group comparison across 19 samples.

How we read this: 2 replicated groups read from 19 sample titles; they account for 19 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 Head and neck cancer datasets

Search all human 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.