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Therapeutic silencing Spp1 in cardiac macrophages suppresses atrial fibrillation

GSE272503 Mus musculus (mouse) RNA-seq (gene expression) 14 samples Submitted 2024/09/12 Platform GPL24247Platform GPL34290
At a glance

RNA-seq (gene expression) · mouse · 14 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
14 samples: 4 × Vehicle vs 4 × siSpp1Groups 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
Therapeutic Spp1 silencing in TREM2(+) cardiac macrophages suppresses atrial fibrillationbioRxiv : the preprint server for biology · 2024
Summary (written by the submitters)
Atrial fibrillation (AFib) and the risk of its lethal complications are worsened by atrial fibrosis. A recent study implicates osteopontin (encoded by Spp1) secreted by atrial TREM2+ macrophages in this fibrosis. Here, we show that silencing Spp1 in TREM2+ cardiac macrophages using an antibody-siRNA conjugate (ARC) reduces atrial fibrosis and suppresses AFib, thus offering a new immunotherapy for this common arrhythmia.
Published in
Therapeutic Spp1 silencing in TREM2(+) cardiac macrophages suppresses atrial fibrillation
Momin N, Pabel S, Rudra A et al. · bioRxiv : the preprint server for biology 2024 · PMID 39149373 · doi:10.1101/2024.08.10.607461
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 GSE272503_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 PRJNA1136982 and SRA study SRP520613. Searching any of these in the dataset finder brings you back here.

Study design
4 × Vehicle vs 4 × siSpp1

Supports a between-group comparison across 8 samples.

How we read this: 2 replicated groups read from 14 sample titles; they account for 8 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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