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Xap5 protects against necrotic apoptosis induced by overdevelopment in adipocytes.

GSE267815 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/05/01 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples: 3 × WAT, WT, D42, vs 3 × WAT, cKO, D42, vs 3 × Adipocyte, WT, D8, vs 3 × Adipocyte, KO, D8,Groups 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.
Summary (written by the submitters)
The development and death of adipocytes play a crucial role in the metabolic stability of the body. We report that Xap5 plays a significant role in the development and death of adipocytes. The specific knockout of Xap5 in mature adipocytes leads to severe lipodystrophy in mice, subsequently causing metabolic disorders. By analyzing the development process of wild-type and Xap5 knockout adipocytes in vivo and in vitro, we found that the adipose deficiency caused by Xap5 knockout is mainly due to necroptosis caused by excessive development of adipocytes.
Read the full summary ↓
Our results reveal a previously unrecognized role of Xap5 in adipocyte development and homeostasis.
This dataset
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.

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 GSE267815_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1113175 and SRA study SRP508512. Searching any of these in the dataset finder brings you back here.

Study design
3 × WAT, WT, D42, vs 3 × WAT, cKO, D42, vs 3 × Adipocyte, WT, D8, vs 3 × Adipocyte, KO, D8,

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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
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