← BioTransfer GEO Dataset Finder
GEO series

Distinct NK Cell Function and Gene Expression in Children with Acute Lymphoblastic Leukemia in Remission Before and After Acute Exercise

GSE272928 Homo sapiens (human) RNA-seq (gene expression) 36 samples Submitted 2025/07/17 Platform GPL16791
At a glance

RNA-seq (gene expression) · human · 36 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
Acute lymphoblastic leukemiaThis series is part of our curated briefing on it.
Samples
36 samples: 36 samples, each with a distinct title — no replicated groupsGroups 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
Distinct NK cell function and gene expression in children with acute lymphoblastic leukemia in remission before and after acute exercise: an exploratory studyFrontiers in immunology · 2025
Summary (written by the submitters)
Children and adolescents who have acute lymphoblastic leukemia (ALL), often display an impaired natural killer cell (NK) function. Brief bouts of exercise mobilize NK cells and influence their gene expression, but little is known about the effect of exercise on NK cell function and gene expression in pediatric ALL survivors, which remains unclear.
Read the full summary ↓
This study examined the effect of exercise on NK gene expression and cytotoxic activity (NKCA) in pediatric ALL patients in remission. Nine B-cell ALL children in remission and 9 sex and age-matched healthy controls with no history of cancer (14.8±1 and 15±1 y/o, respectively; 2 girls per group) performed eight 2-min bouts of cycle ergometry at 60% of peak work rate (71±2% of V̇O 2 peak) interspersed with 1-min rest intervals. Circulating NK cells gene expression profile (RNA-seq) and NKCA (in vitro) were performed before and after exercise. NK cell function (NK cell cytotoxicity assay) and gene expression (RNAseq) analyses were performed. Exercise altered the expression of thousands of NK cell genes in both ALL and controls, with a distinct pattern in ALL both at baseline (294 Genes) and in response to exercise (179 genes). At baseline, nine gene pathways involved in NK cell function were affected, and following exercise, 28 pathways related to inflammatory response and cancer were impacted. NKCA was lower at baseline in survivors compared to controls. The reduced activity was partially mitigated following exercise but remained lower in ALL compared to controls. Exercise may improve NK cell function, specifically in immune surveillance in ALL children in remission, and has the potential to be used as adjunctive therapy in ALL. The differential gene expression response to exercise suggest that NK cells in ALL may adopt a different molecular strategy to fight infections or tumors.
Published in
Distinct NK cell function and gene expression in children with acute lymphoblastic leukemia in remission before and after acute exercise: an exploratory study
Plaza-Florido A, Perlsteyn M, Haddad F et al. · Frontiers in immunology 2025 · PMID 40881686 · doi:10.3389/fimmu.2025.1625437
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 GSE272928_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 PRJNA1139316 and SRA study SRP521807. Searching any of these in the dataset finder brings you back here.

Study design
36 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 36 sample titles: 36 distinct titles with little repetition. 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 Acute lymphoblastic leukemia 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.