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Implication of Acyl Coenzyme A Binding Protein (ACBP) in Cushing Syndrome

GSE248672 Mus musculus (mouse) RNA-seq (gene expression) 20 samples Submitted 2024/10/02 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 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
Mus musculus (mouse)
Samples
20 samples: 20 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
Pathogenic role of acyl coenzyme A binding protein (ACBP) in Cushing's syndromeNature metabolism · 2024
Summary (written by the submitters)
Acyl coenzyme A binding protein (ACBP), encoded by the diazepam binding protein (DBI) gene, plays a pivotal role in stimulating appetite and lipo-anabolic reactions, showing correlations with laboratory indications of metabolic syndrome in ostensibly healthy individuals. In a screening effort targeting inhibitors of ACBP/DBI expression among distinct neuroendocrine factors, we discovered that glucocorticoids induce ACBP/DBI secretion in cultured cells.
Read the full summary ↓
In mouse models of iatrogenic Cushing syndrome, antibody-mediated neutralization of ACBP/DBI prevented the metabolic consequences of prolonged glucocorticoid administration. Our findings suggest that a surge in extracellular ACBP/DBI may mediate crucial aspects of Cushing syndrome.
Published in
Pathogenic role of acyl coenzyme A binding protein (ACBP) in Cushing's syndrome
Pan H, Tian AL, Chen H et al. · Nature metabolism 2024 · PMID 39578649 · doi:10.1038/s42255-024-01170-0
This dataset
Open GSE248672 in finder → Find more mouse 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 GSE248672_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 PRJNA1045563 and SRA study SRP474379. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39578649) ↗
Study design
20 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 20 sample titles: 20 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
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.