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A molecular pathway for cancer cachexia-induced muscle atrophy revealed at single nucleus resolution [Bulk_RNAseq]

GSE272083 Mus musculus (mouse) Single-nucleus RNA-seq 31 samples Submitted 2024/07/12 Platform GPL19057Platform GPL30172
At a glance

Single-nucleus RNA-seq · mouse · 31 samples

What it is
Single-nucleus RNA-seqGene activity measured in individual nuclei (used when whole cells are hard to isolate, for example from frozen tissue). Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Mus musculus (mouse)
Samples
31 samples: 25 distinct titles, 3 of them repeatedGroups 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
A molecular pathway for cancer cachexia-induced muscle atrophy revealed at single-nucleus resolutionCell reports · 2024
Summary (written by the submitters)
Cancer cachexia is a prevalent and often fatal wasting condition that cannot be fully reversed with nutritional interventions. Muscle atrophy is a central component of the syndrome, but the mechanisms whereby cancer leads to skeletal muscle atrophy are not well understood. We performed single nucleus multi-omics on skeletal muscles from a mouse model of cancer cachexia and profiled the molecular changes in cachexic muscle.
Read the full summary ↓
Our results revealed the activation of a denervation-induced gene program that upregulates the transcription factor myogenin. Further studies showed that a myogenin-myostatin pathway promotes muscle atrophy in response to cancer cachexia. shRNA inhibition of myogenin or inhibition of myostatin through overexpression of its endogenous inhibitor follistatin prevented cancer cachexia-induced muscle atrophy in mice. Our findings uncover a molecular basis of cancer cachexia-induced muscle atrophy and highlight potential therapeutic targets for this disorder.
Published in
A molecular pathway for cancer cachexia-induced muscle atrophy revealed at single-nucleus resolution
Zhang Y, Dos Santos M, Huang H et al. · Cell reports 2024 · PMID 39116208 · doi:10.1016/j.celrep.2024.114587
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 GSE272083_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1135087 and SRA study SRP519530. Searching any of these in the dataset finder brings you back here.

Study design
25 distinct titles, 3 of them repeated
GP muscle from control mouse ×3 GP muscle from KIC mouse ×3 GP muscle from 48 hour fasted mouse ×3

How we read this: Read from 31 sample titles: 25 distinct titles with little repetition. 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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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.