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Pericardial adipose tissue promotes transition to heart failure with reduced ejection fraction upon pressure-overload in mice

GSE283668 Mus musculus (mouse) RNA-seq (gene expression) 19 samples Submitted 2024/12/06 Platform GPL18480
At a glance

RNA-seq (gene expression) · mouse · 19 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
19 samples: 7 × PAT_TAC_12_wks, vs 6 × PAT_Sham_1_wk, vs 6 × PAT_TAC_1_wk,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)
Aims: In humans, secretome of pericardial (PAT) and epicardial adipose tissue (EAT) contribute to establishment of heart failure (HF) with preserved ejection fraction (HFpEF) originating from pressure-overload due to metabolic disorder. We examined whether PAT affects also manifestation and progression of pressure-induced HF in the absence of metabolic burden in mice.
Read the full summary ↓
Methods and results: Progressive remodelling was assessed in C57BL/6J males, aged 9 wks, randomly assigned to sham surgery or transverse aortic constriction (TAC) for 1 week (early pressure-overload), 8 (chronic pressure-overload), or 12 weeks (HFrEF) with or without concomitant PAT excision. PAT removal did not affect early (1 wk TAC), and chronic (8 wks) pressure-overload induced concentric remodelling. However, the initial PAT excision prevented TAC-induced expansion of pro-inflammatory macrophages during early pressure-overload and attenuated the persistent LV expression of pro-hypertrophic, pro-inflammatory and pro-fibrotic factors as well as the drastic LV dilation and progressive systolic dysfunction in the long-term and thereby protected against the transition to HFrEF. This protection was associated with significant reduction of microscar and perivascular fibrosis. The latter was, at least in part, attributed to reduced accumulation of pro-fibrotic CD206+ macrophages around the coronaries 12 wks post-surgery in the absence of PAT compared to mice with intact PAT. In addition, PAT bulk RNA sequencing revealed the initiation of an extracellular matrix deposition programme in the PAT early upon TAC surgery, which might trigger fibrotic responses in the underlying myocardium. Indeed, isolated naive adult cardiac fibroblasts exposed to PAT lysate from 12 wks TAC mice increased collagen production and cell viability/proliferation. Conclusion: Our data suggest PAT to play divergent roles in the chronically pressure overloaded heart versus HFrEF - while widely not affecting concentric hypertrophy, PAT removal counteracts manifestation of HFrEF in mice, at least in part, by preventing excessive fibrotic and macrophage responses.
This dataset
Open GSE283668 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 GSE283668_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 PRJNA1195005 and SRA study SRP549858. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
7 × PAT_TAC_12_wks, vs 6 × PAT_Sham_1_wk, vs 6 × PAT_TAC_1_wk,

Supports a between-group comparison across 19 samples.

How we read this: 3 replicated groups read from 19 sample titles; they account for 19 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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