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Paediatric Bone marrow Mesenchymal Stem cells support acute myeloid leukaemia cell survival and enhance chemoresistance via contact-independent mechanism

GSE277382 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2024/11/11 Platform GPL20301
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
Acute myeloid leukemiaThis series is part of our curated briefing on it.
Samples
12 samples: 12 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
Paediatric bone marrow mesenchymal stem cells support acute myeloid leukaemia cell survival and enhance chemoresistance via contact-independent mechanismBritish journal of haematology · 2025
Summary (written by the submitters)
Pediatric mesenchymal stem cells (pMSCs) within the bone marrow (BM) niche play a crucial role in regulating pediatric acute myeloid leukemia (pAML) survival and therapy resistance. In this study, we isolated pMSCs from pAML bone marrow samples and characterized their phenotype and differentiation potential. We performed coculture experiments with pAML cells in both autologous and allogenic settings, with and without direct contact.
Read the full summary ↓
RNA-sequencing and multiplex immunoassays revealed that pMSCs promote pAML survival through changes in gene expression, cytokine secretion, and extracellular matrix (ECM) components, specifically enhancing chemoprotection from cytarabine and Gemtuzumab Ozogamicin (GO). Inhibition of the JAK/STAT and ERK pathways using ruxolitinib (RUX) abrogated the pMSC-induced chemoprotection, suggesting a contact-independent mechanism. These findings provide new insights into how the BM microenvironment contributes to therapy resistance in pediatric AML and highlights the potential for targeting pMSC-induced signaling pathways in treatment strategies.
Published in
Paediatric bone marrow mesenchymal stem cells support acute myeloid leukaemia cell survival and enhance chemoresistance via contact-independent mechanism
Laing A, Elmarghany A, Alghaith AA et al. · British journal of haematology 2025 · PMID 39523592 · doi:10.1111/bjh.19884
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 GSE277382_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 PRJNA1162081 and SRA study SRP533167. Searching any of these in the dataset finder brings you back here.

Study design
12 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 12 sample titles: 12 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 myeloid leukemia datasets

Search all human RNA-seq datasets in GEO →

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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.