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Interleukin-27 remodels the bone marrow niche to suppress B-cell development and leukaemia progression in mouse models

GSE320585 Homo sapiens (human) RNA-seq (gene expression) 20 samples Submitted 2026/04/22 Platform GPL13112Platform GPL11154Platform GPL23479
At a glance

RNA-seq (gene expression) · human · 20 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
20 samples: 8 conditions, mostly in triplicateGroups 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
Interleukin-27 remodels the bone marrow niche to suppress B-cell development and leukaemia progression in mouse modelsEBioMedicine · 2026
Summary (written by the submitters)
Interleukin-27 (IL-27) is an immunoregulatory cytokine, but its role in B-cell haematopoiesis and B-cell acute lymphoblastic leukaemia (B-ALL) within the bone marrow (BM) niche remains unclear. IL-27 was delivered in vivo using adeno-associated virus. B-cell reconstitution, mixed BM chimeras, and an N-myc-driven B-ALL model were analysed by flow cytometry, transcriptional profiling, and survival studies.
Read the full summary ↓
Group comparisons were assessed using Student’s t-test, and survival was evaluated by Kaplan-Meier analysis with log-rank tests. Sustained IL-27 expression selectively impaired B-cell reconstitution while preserving overall haematopoietic recovery, with marked reductions in common lymphoid progenitors and early B-cell subsets. IL-27 directly inhibited early B-lineage differentiation and concurrently remodelled the BM microenvironment by downregulating VCAM-1, ICAM-2, CXCL12, and IGF-1. These niche alterations were associated with reduced BM-resident B-ALL burden, enhanced chemotherapy efficacy, and improved survival in B-ALL-bearing mice. IL-27 showed no direct cytotoxicity toward B-ALL cells, supporting an indirect, niche-mediated mechanism. IL-27 constrains B-cell haematopoiesis and B-ALL progression through coordinated progenitor inhibition and BM niche remodelling, revealing a cytokine-driven strategy with the potential to enhance leukaemia therapy.
Published in
Interleukin-27 remodels the bone marrow niche to suppress B-cell development and leukaemia progression in mouse models
Zhu JM, Xia J, Chen KM et al. · EBioMedicine 2026 · PMID 41932204 · doi:10.1016/j.ebiom.2026.106239
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 GSE320585_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 PRJNA1428861 and SRA study SRP679622. Searching any of these in the dataset finder brings you back here.

Study design
8 conditions, mostly in triplicate
B-ALL-Ctrl ×3 B-ALL-IL27 ×3 BM-Ctrl ×3 BM-IL27 ×3 hMSC-Ctrl ×2 hMSC-IL27 ×2 Spleen-Ctrl ×2 Spleen-IL27 ×2

Supports a between-group comparison across 20 samples.

How we read this: 8 replicated groups read from 20 sample titles; they account for 20 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 Acute lymphoblastic leukemia datasets

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