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Perivascular adipose tissue plasticity in response to angiotensin II

GSE194224 Mus musculus (mouse) RNA-seq (gene expression) 40 samples Submitted 2025/01/21 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 40 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
40 samples: 12 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.
Summary (written by the submitters)
Most blood vessels are surrounded with perivascular adipose tissue (PVAT), which is a unique adipose tissue that plays critical roles in vascular physiology and pathophysiology. PVAT displays regional differences that impact vascular homeostasis. Angiotensin II (Ang II) is the main biological active effector of the renin-angiotensin-aldosterone system (RAAS), which has been extensively studied in the vascular biology.
Read the full summary ↓
However, the effects of Ang II on PVAT are limited explored and remain to be elucidated. In this study, we systematically investigated the regional heterogeneity of three portions of aortic PVAT, i.e., ascending thoracic aortic PVAT (ATA-PVAT), descending thoracic aortic PVAT (DTA-PVAT), and abdominal aortic PVAT (AA-PVAT), and their responses to 7-day Ang II infusion using RNA sequencing. We found that AA-PVAT is clearly distinguished from both ATA-PVAT and DTA-PVAT, with significantly down-regulated oxidative phosphorylation and up-regulated inflammatory response pathways. Furthermore, AA-PVAT expressed lower levels of brown adipocyte marker genes, such as Ucp1, Cidea, Cox8b, Dio2 and Pgc1α, but expressed higher levels of proinflammatory genes, such as Ccl2, Il1β and Tnfα, and components of the RAAS, including Agt, Ace and Agtr1α. Ang II infusion significantly down-regulated oxidative phosphorylation in all aortic PVAT and significantly up-regulated inflammatory response specifically in ATA-PVAT and DTA-PVAT. Moreover, ATA-PVAT was most responsive to Ang II induced inflammation. We further used a mitoNEET (a.k.a. CDGSH iron sulfur domain 1 protein) transgenic mouse model that exhibited a more brown adipose tissue (BAT)-like phenotype in aortic PVAT, as indicated by elevated expression levels of brown adipocyte marker genes, and confirmed that a more BAT-like phenotype of aortic PVAT could counterbalance Ang II induced inflammatory and oxidative effects.
This dataset
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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 GSE194224_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 PRJNA799764 and SRA study SRP356353. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
12 conditions, mostly in triplicate
Saline_ATA_PVAT ×4 Saline_DTA_PVAT ×4 AngII_ATA_PVAT ×4 AngII_DTA_PVAT ×4 Saline_AA_PVAT ×3 AngII_AA_PVAT ×3 Tg_Saline_ATA_PVAT ×3 Tg_Saline_DTA_PVAT ×3 +4 more

Supports a between-group comparison across 40 samples.

How we read this: 12 replicated groups read from 40 sample titles; they account for 40 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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