Deletion of P311 enhances regeneration in aged skeletal muscle
Single-cell RNA-seq · mouse · 9 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. 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
- 9 samples: 3 × Muscle_old_KO vs 3 × Muscle_old_WT vs 3 × Muscle_young_WTGroups 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.
Read the full summary ↓
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE329069_RAW.tar (it can run to tens of gigabytes).
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 PRJNA1457493 and SRA study SRP694587. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 9 samples.
How we read this: 3 replicated groups read from 9 sample titles; they account for 9 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.
- GSM9696617 Muscle_old_KO_1 Muscle_old_KO
- GSM9696618 Muscle_old_KO_2 Muscle_old_KO
- GSM9696619 Muscle_old_KO_3 Muscle_old_KO
- GSM9696620 Muscle_old_WT_1 Muscle_old_WT
- GSM9696621 Muscle_old_WT_2 Muscle_old_WT
- GSM9696622 Muscle_old_WT_3 Muscle_old_WT
- GSM9696623 Muscle_young_WT_1 Muscle_young_WT
- GSM9696624 Muscle_young_WT_2 Muscle_young_WT
- GSM9696625 Muscle_young_WT_3 Muscle_young_WT
- GSE319950 Erk3 deletion drives oxidative adaptations in skeletal muscle 18 samples shares deletion, skeletal, muscle
- GSE306935 The Integrated Stress Response Pathway Improves Aged Murine Muscle Stem Cell Activation and in vivo Regeneration 12 samples shares regeneration, muscle, aged
- GSE248916 Metabolic Promotion of Adult and Aging Skeletal Muscle Regeneration by the Serine Biosynthesis Pathway 30 samples shares regeneration, skeletal, muscle
- GSE311013 Elimination of myotonia improves myopathy in a muscleblind knockout model of myotonic dystrophy: longread sequencing of Clcn1 transcripts in muscle from Mbnl1 knockout, Exon 7a deletion, and ADR mice. 27 samples shares deletion, muscle
- GSE263262 The impact of TRF2 deletion on gene expression profile of muscle stem cells 16 samples shares deletion, muscle
- GSE324502 Bioinspired, Mitochondria-targeted Single-atom Nanozyme Enhances Bone Regeneration by Reprogramming Stem Cell Energy Metabolism 12 samples shares regeneration, enhances
- GSE297315 Crotonate-activated histone H3K14 crotonylation enhances intestinal regeneration after injury 41 samples shares regeneration, enhances
- GSE262919 EZH2 deletion does not impact acinar cell regeneration but restricts progression to pancreatic cancer in mice [ChIP-seq] 36 samples shares regeneration, deletion
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.