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Interactions between gamma-delta T lymphocytes and M-MDSC cells in the pathogenesis of chronic lymphocytic leukemia

GSE308261 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2025/09/17 Platform GPL29480
At a glance

RNA-seq (gene expression) · human · 12 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)
Topic
Chronic lymphocytic leukemiaThis series is part of our curated briefing on it.
Samples
12 samples
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
γδ T Are Significantly Impacted by CLL Burden but Only Mildly Influenced by M-MDSCsCancers · 2025
Summary (written by the submitters)
RNA-seq of zoledronate-expanded Vdelta2 gamma-delta T cells from healthy donors, cultured alone or co-incubated with myeloid-derived suppressor cells (M-MDSC) or vitamin C. The study investigates how M-MDSC influence gamma-delta T-cell function and differentiation, and the potential modulatory effects of vitamin C and vitamin D. These data provide insight into immune regulation in CLL and mechanisms relevant for immunotherapy development.
Published in
γδ T Are Significantly Impacted by CLL Burden but Only Mildly Influenced by M-MDSCs
Zarobkiewicz M, Kowalska W, Szymańska A et al. · Cancers 2025 · PMID 39858035 · doi:10.3390/cancers17020254
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 GSE308261_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: 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 PRJNA1329122 and SRA study SRP620662. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 12 more — browse all 12 samples with per-sample file links →

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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.