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Peripheral blood mononuclear cells single-cell landscape of newly diagnosed NK/T cell lymphoma patients

GSE318371 Homo sapiens (human) Single-cell RNA-seq 32 samples Submitted 2026/02/07 Platform GPL24676Platform GPL34284
At a glance

Single-cell RNA-seq · human · 32 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)
Samples
32 samples: 20 × PBMC, newly diagnosed NKTCL, vs 12 × PBMC, healthy,Groups 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
Peripheral blood immune profiling reveals key signatures in newly diagnosed NK/T cell lymphoma patientsTheranostics · 2026
Summary (written by the submitters)
Natural killer/T cell lymphoma (NKTCL) is a rare and aggressive form of non-Hodgkin's lymphoma associated with Epstein-Barr Virus (EBV) infection.The recent advancement of multi-omics technologies has significantly enhanced our understanding of NKTCL disease biology, including genetics, transcription landscape, variations of EBV strain, and microenvironments.
Read the full summary ↓
Emerging evidence suggests that immunoprofiling of peripheral blood mononuclear cells (PBMCs) is associated with the treatment response of cancer patients and can be used to guide clinical trials and therapy. In this study, we utilized single-cell RNA sequencing (scRNA-seq) to comprehensively characterize the phenotypic landscape of PBMCs in newly diagnosed patients with NKTCL. This research offers a valuable peripheral blood-based signature for newly diagnosed NKTCL, which could be a crucial resource for further investigations into the pathogenesis of NKTCL and the optimization of therapeutic regimens.
Published in
Peripheral blood immune profiling reveals key signatures in newly diagnosed NK/T cell lymphoma patients
Li D, Zou H, Wang M et al. · Theranostics 2026 · PMID 42370195 · doi:10.7150/thno.132582
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 GSE318371_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 PRJNA1370270 and SRA study SRP649454. Searching any of these in the dataset finder brings you back here.

Study design
20 × PBMC, newly diagnosed NKTCL, vs 12 × PBMC, healthy,

Supports a between-group comparison across 32 samples.

How we read this: 2 replicated groups read from 32 sample titles; they account for 32 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
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