← BioTransfer GEO Dataset Finder
GEO series

Single-cell RNA sequencing reveals acquisition of a FOXP3-positive regulatory-like state in relapsed TFH lymphoma

GSE332984 Homo sapiens Expression profiling by high throughput sequencing; Other 5 samples Submitted 2026/05/22 Platform GPL24676
Summary
Nodal T follicular helper cell lymphomas (nTFHLs) are mature T-cell neoplasms characterized by transcriptional and phenotypic features of TFH cells. In this study, we analyzed relapsed TFH lymphoma samples using single-cell RNA sequencing, TCR repertoire analysis, whole-exome sequencing, and viral detection analysis. Single-cell transcriptomic profiling identified a dominant malignant T-cell population expressing canonical TFH-associated genes, with acquisition of a FOXP3-positive regulatory-like transcriptional state at relapse. T-cell receptor clonotype analysis demonstrated oligoclonal expansion within the malignant compartment. Targeted genomic profiling identified recurrent TET2 mutations together with PLCG1 and TP53 alterations. Viral detection analysis identified EBV sequences but no HTLV-1/2 sequences. Processed Seurat objects, cell-level metadata, mutation annotation tables, and viral detection results are provided.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE332984_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 5 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1469212. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 5 more — browse all 5 samples with per-sample file links →

Similar 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.