Dysregulation of the Normal Wound Healing Cascade in Volumetric Muscle Loss Injury
RNA-seq (gene expression) · mouse · 30 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
- 30 samples: 30 samples, each with a distinct title — no replicated groupsGroups 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.
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 GSE255837_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: 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 PRJNA1076781 and SRA study SRP489836. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 30 sample titles: 30 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.
- GSM8081459 Male mouse TA, uninjured (1)
- GSM8081460 Male mouse TA, uninjured (2)
- GSM8081461 Male mouse TA, uninjured (3)
- GSM8081462 Female mouse TA, uninjured (1)
- GSM8081463 Female mouse TA, uninjured (2)
- GSM8081464 Female mouse TA, uninjured (3)
- GSM8081465 Male mouse TA, 7 days post injury (1)
- GSM8081466 Male mouse TA, 7 days post injury (2)
- GSM8081467 Male mouse TA, 7 days post injury (3)
- GSM8081468 Male mouse TA, 4 days post injury (1)
- GSM8081469 Male mouse TA, 4 days post injury (2)
- GSM8081470 Male mouse TA, 4 days post injury (3)
- GSM8081471 Male mouse TA, 11 days post injury (1)
- GSM8081472 Male mouse TA, 11 days post injury (2)
- GSM8081473 Male mouse TA, 11 days post injury (3)
- GSM8081474 Male mouse TA, 15 days post injury (1)
- GSM8081475 Male mouse TA, 15 days post injury (2)
- GSM8081476 Male mouse TA, 15 days post injury (3)
- GSM8081477 Female mouse TA, 7 days post injury (1)
- GSM8081478 Female mouse TA, 7 days post injury (2)
- GSM8081479 Female mouse TA, 4 days post injury (1)
- GSM8081480 Female mouse TA, 4 days post injury (2)
- GSM8081481 Female mouse TA, 4 days post injury (3)
- GSM8081482 Female mouse TA, 11 days post injury (1)
- GSM8081483 Female mouse TA, 11 days post injury (2)
- GSM8081484 Female mouse TA, 15 days post injury (1)
- GSM8081485 Female mouse TA, 15 days post injury (2)
- GSM8081486 Female mouse TA, 15 days post injury (3)
- GSM8081487 Female mouse TA, 11 days post injury (3)
- GSM8081488 Female mouse TA, 7 days post injury (3)
- GSE267091 Ageing-induced cell type-specific transcriptomic changes in the skin are associated with abnormal early healing responses to injury 23 samples shares healing, normal, injury
- GSE262348 NEMO Knockout Drives Variations in Gene Expression Regenerative Trajectory and Induces Chromatin Remodeling in murine muscle satellite cells during healing from traumatic injury 20 samples shares healing, muscle, injury
- GSE273220 Peripheral nerve injury induces dystonia-like movements and dysregulation in the energy metabolism: A multi-omics descriptive study in Thap1+/− mice 72 samples shares dysregulation, injury
- GSE287080 Bile acid 7a-dehydroxylating bacteria accelerate injury-induced mucosal healing in the colon 40 samples shares healing, injury
- GSE278527 Clearance of p21-highly-expressing senescent cells accelerates cutaneous wound healing 36 samples shares healing, wound
- GSE280067 Reprogramming of epidermal keratinocytes by PITX1 transforms the cutaneous cellular landscape and promotes wound healing [scRNA-seq] 36 samples shares healing, wound
- GSE264169 Modulating the Extracellular Matrix to Treat Wound Healing Defects in Ehlers-Danlos Syndrome 35 samples shares healing, wound
- GSE210798 Splenic CD169+Tim4+ Marginal Zone Metallophilic Macrophages Are Essential for Wound Healing and Resolution of Inflammation After Myocardial Infarction 24 samples shares healing, wound
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.