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Isolation of mature adipocytes from in vitro differentiated human adipose stem cells

GSE227819 Homo sapiens (human) RNA-seq (gene expression) 46 samples Submitted 2024/04/01 Platform GPL24676Platform GPL18573
At a glance

RNA-seq (gene expression) · human · 46 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)
Samples
46 samples: 38 distinct titles, 4 of them repeatedGroups 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
Cytoskeletal rearrangement precedes nucleolar remodeling during adipogenesisCommunications biology · 2024
Summary (written by the submitters)
Obesity and associated metabolic outcomes define the metabolic syndrome. Interestingly, an under-appreciated fact is that body fat distribution, rather than total body fat amount, is a key determinant of metabolic disease. Indeed, in contrast to upper-body obesity, lower-body fat accumulation inversely correlates with metabolic risks.
Read the full summary ↓
Understanding processes regulating upper- vs. lower-body fat expansion is paramount to predict (and prevent) these risks. We combine functional, proteomics, transcriptomics and epigenomics analyses to identify chromatin-associated mechanisms of adipose depot-specific fat expansion. Here, we analyze by RNA-seq the transcriptome of adipocytes differentiated in vitro from human gluteal (lower-body) and abdominal subcutaneous (upper-body) depots-derived adipose stem cells. We aim to identify adipose depot-specific and temporal differences in the up- or down-regulation of gene expression, and relate these differences to changes in chromatin states.
Published in
Cytoskeletal rearrangement precedes nucleolar remodeling during adipogenesis
Potolitsyna E, Pickering SH, Bellanger A et al. · Communications biology 2024 · PMID 38622242 · doi:10.1038/s42003-024-06153-1
This dataset
Open GSE227819 in finder → Find more human 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 GSE227819_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 PRJNA947138 and SRA study SRP428446. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 38622242) ↗
Study design
38 distinct titles, 4 of them repeated
hASC_D15_G_floating ×3 hASC_D15_A_floating ×3 hASC_D15_G ×3 hASC_D15_A ×3

How we read this: Read from 46 sample titles: 38 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

+ 6 more — browse all 46 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

Share this dataset

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.