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Role of SIRT5 in Inhibition of Myocardial Hypertrophy

GSE186985 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2024/10/05 Platform GPL17021
At a glance

RNA-seq (gene expression) · mouse · 10 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
10 samples
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)
SIRT5 is one of the seven members of the NAD+-dependent sirtuin family of protein deacylase that is mainly present in mitochondria and regulates metabolism. In heart, SIRT5 is highly expressed and responsible for succinylation on metabolic enzymes. Although the role of SIRT5 in maintaining cardiac homeostasis under physiological stress and few potential substrates of SIRT5 have been preliminarily revealed, the regulatory network and key cellular signaling pathways involving SIRT5 in myocardial hypertrophy remain largely unknown.
Read the full summary ↓
Here, we used an established murine model of pressure overload-induced myocardial hypertrophy caused by transverse aortic constriction (TAC) to outline the network and pathway involving SIRT5 in cardiac stress responses. Remarkably, SIRT5 KO mice had enhanced myocardial hypertrophy after TAC surgery compared with wild-type mice.
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 GSE186985_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 PRJNA777232 and SRA study SRP344205. Searching any of these in the dataset finder brings you back here.

Samples in this study

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