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METTL14-mediated m6A differentially orchestrates brown and white adipose tissue transcriptomes to regulate systemic metabolism

GSE250137 Homo sapiens (human) DNA methylation 58 samples Submitted 2024/11/08 Platform GPL24676Platform GPL24247
At a glance

DNA methylation · human · 58 samples

What it is
DNA methylationChemical marks on DNA that help switch genes on or off.
Organism
Homo sapiens (human)
Samples
58 samples: 18 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
Divergent roles of m(6)A in orchestrating brown and white adipocyte transcriptomes and systemic metabolismNature communications · 2025
Summary (written by the submitters)
Human brown and white adipocytes (hBAT and hWAT) display markedly distinct m6A landscapes; besides, in insulin-resistant humans and mice, methyltransferase like 14 (METTL14) expression differs significantly between BAT and WAT in the context of its correlation with insulin sensitivity. We therefore employed independent BAT- and WAT-specific METTL14 knockout models to unveil the cell-type specificity of m6A mRNA methylation. Mettl14 knockout via Ucp1-cre or Adipoq-cre drivers in BAT and WAT, respectively, yields divergent metabolic outcomes in mouse.
Published in
Divergent roles of m(6)A in orchestrating brown and white adipocyte transcriptomes and systemic metabolism
Xiao L, De Jesus DF, Ju CW et al. · Nature communications 2025 · PMID 39788955 · doi:10.1038/s41467-024-55694-w
This dataset
Open GSE250137 in finder → Find more RNA-seq datasets →
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 GSE250137_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: Look for beta-value tables or raw IDAT files among the supplementary files.

Also filed as BioProject PRJNA1052092 and SRA study SRP477849. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39788955) ↗
Study design
18 conditions, mostly in triplicate
human white adipocyte cell line, Mettl14 KO, … ×4 human white adipocyte cell line, Mettl14 KO, … ×4 homozygous male mouse, brown adipocytes Mett… ×4 homozygous male mouse, brown adipocytes Cont… ×4 homozygous male mouse, brown adipocytes Mett… ×4 homozygous male mouse, white adipocytes Cont… ×4 human brown adipocyte cell line, Control, inp… ×3 human brown adipocyte cell line, Control, m6A… ×3 +12 more

Supports a between-group comparison across 56 samples.

How we read this: 18 replicated groups read from 58 sample titles; they account for 56 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

+ 18 more — browse all 58 samples with per-sample file links →

Datasets on a similar topic

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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.