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RNA-sequencing of SVF-derived preadipocytes from inguinal adipose tissue of male mice differentiating under control conditions or treated with CGRP

GSE283700 Mus musculus (mouse) RNA-seq (gene expression) 15 samples Submitted 2025/10/28 Platform GPL34290
At a glance

RNA-seq (gene expression) · mouse · 15 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
15 samples: 5 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
Sensory-neuron-derived CGRPα controls white adipocyte differentiation and tissue plasticityCell reports · 2025
Summary (written by the submitters)
To investigate the effects of CGRP on adipocyte differentiation, we treated stromal vascular fraction (SVF)-derived preadipocytes from inguinal white adipose tissue (iWAT) of male mice with CGRP during differentiation. RNA-sequencing was performed across a full time course of normal differentiation to identify transcriptional changes induced by CGRP treatment compared to control conditions.
Published in
Sensory-neuron-derived CGRPα controls white adipocyte differentiation and tissue plasticity
Dumont KD, Heydari Seradj S, Wang Y et al. · Cell reports 2025 · PMID 41275495 · doi:10.1016/j.celrep.2025.116613
This dataset
Open GSE283700 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 GSE283700_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 PRJNA1195067 and SRA study SRP549857. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41275495) ↗
Study design
5 conditions, mostly in triplicate
adipocyte_day_0, control, ×3 adipocyte_day_2, control, ×3 adipocyte_day_4, control, ×3 adipocyte_day_6, control, ×3 adipocyte_day_4, CGRP_day2-4, ×3

Supports a between-group comparison across 15 samples.

How we read this: 5 replicated groups read from 15 sample titles; they account for 15 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
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.