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Investigation of the Altered Transcriptomic Dynamics of Bone Marrow Adipose Tissue Under Exogenous Stimuli in the Context of AML Pathogenesis

GSE283315 Homo sapiens (human) RNA-seq (gene expression) 36 samples Submitted 2025/05/22 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 myeloid 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
Circadian rhythm and aryl hydrocarbon receptor crosstalk in bone marrow adipose tissue and implications in leukemiaScientific reports · 2025
Summary (written by the submitters)
Bone marrow is a critical tissue for hematopoietic stem cell regulation, comprising various cell types, including adipose tissue, which actively contributes to hematopoietic biology. The mechanisms underlying the transcriptomic response of bone marrow adipose tissue to xenobiotic stimuli remain poorly understood, particularly its role in leukemia progression.
Read the full summary ↓
Acute myeloid leukemia (AML) stromal cells differ significantly from healthy bone marrow stroma, with environmental pollutants and xenobiotics playing a crucial role in pathogenesis. This study investigates the transcriptomic alterations in bone marrow adipose-derived mesenchymal stem cells following aryl hydrocarbon receptor (AhR) agonist and antagonist stimulation. Comparative analyses include healthy donors, Fanconi anemia (FA), and AML samples to elucidate their contributions to leukemia development.
Published in
Circadian rhythm and aryl hydrocarbon receptor crosstalk in bone marrow adipose tissue and implications in leukemia
Muratoğlu B, Özdemir C, Eylem CC et al. · Scientific reports 2025 · PMID 40350529 · doi:10.1038/s41598-025-93169-0
This dataset
Open GSE283315 in finder → Find more human RNA-seq datasets → Acute myeloid leukemia landscape →
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.

Series matrix ↓
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 GSE283315_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1193085 and SRA study SRP548762. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40350529) ↗
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 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.