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ESCRT-mediated machinery directly drives cardiac T-tubule formation

GSE276054 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2026/03/03 Platform GPL24247
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: 5 × Heart, AAV9-cTnT-Cre-T2A-EGFP, P10, TCK vs 5 × Heart, AAV9-cTnT-EGFP, P10, TNCGroups 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)
Cardiac transverse tubules (T-tubules) are regular spaced plasma membrane invaginations that play an essential role in establishing excitation-contraction coupling of cardiomyocytes, yet the molecular machinery that controls T-tubule formation remains elusive. The endosomal sorting complex required for transport (ESCRT) proteins are involved in a variety of cellular events primarily through regulating membrane deformation in a reverse topology mode (budding away from cytosol).
Read the full summary ↓
We demonstrate that Chmp4b is essential for T-tubule formation, a process dependent on the ESCRT-I component Tsg101. Our results uncover that the spatiotemporal organization of ESCRT can orchestrate invaginations of cardiomyocyte plasma membrane.
This dataset
Open GSE276054 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 GSE276054_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 PRJNA1154598 and SRA study SRP529616. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
5 × Heart, AAV9-cTnT-Cre-T2A-EGFP, P10, TCK vs 5 × Heart, AAV9-cTnT-EGFP, P10, TNC

Supports a between-group comparison across 10 samples.

How we read this: 2 replicated groups read from 10 sample titles; they account for 10 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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