Smad7-based biologic targeting epidermis and stroma promotes healing of diabetic wounds in mice and pigs
RNA-seq (gene expression) · mouse · 12 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
- 12 samples: 12 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.
- Paper
- Smad7-based biologic targeting epidermis and stroma promotes healing of diabetic wounds in mice and pigsNature communications · 2026
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 GSE274513_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 PRJNA1145558 and SRA study SRP525691. 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 12 sample titles: 12 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.
- GSM8450612 A__W15_D11_PBS_D031
- GSM8450613 D__W15_D11_PBS_D034
- GSM8450614 E__W15_D11_PBS_D035
- GSM8450615 G__W15_D11_0628_1_D047
- GSM8450616 H__W15_D11_0628_1_D048
- GSM8450617 I__W15_D11_0628_1_D049
- GSM8454143 W17_D9_0628_point5_E1836_F
- GSM8454144 W17_D9_0628_point5_E1837_G
- GSM8454145 W17_D9_0628_point5_E1839_I
- GSM8454146 W17_D9_PBS_E1831_A
- GSM8454147 W17_D9_PBS_E1834_D
- GSM8454148 W17_D9_PBS_E1835_E
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- GSE311156 Technical and biological sources of noise confound multiplexed enhancer AAV screening [dataset3] 797 samples shares biologic
- GSE284500 Transcriptional profiling of hippocampus from a zQ175 KI mouse model of Huntington's disease treated with either HTT-10150 siRNA targeting full-length HTT or combination of HTT-634 and HTT-486 siRNAs targeting HTT1a 192 samples shares targeting
- GSE284497 Transcriptional profiling of striatum from a zQ175 KI mouse model of Huntington's disease treated with HTT-10150 siRNA targeting full-length Htt 143 samples shares targeting
- GSE304568 Tumor Antigen–Independent Targeting of Solid Tumors by Armored 1 Macrophage-Directed anti-TREM2-CAR T Cells 82 samples shares targeting
- GSE302447 A multi-functional oral small molecule targeting energy and lipid metabolism as a treatment for diet-induced obesity 67 samples shares targeting
- GSE295426 Targeting branched-chain amino acids alleviates pulmonary fibrosis [RNA-seq] 54 samples shares targeting
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.