Functional analysis and transcriptome profile of meninges and skin fibroblasts from human aged donors
RNA-seq (gene expression) · human · 15 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
- Homo sapiens (human)
- Samples
- 15 samples: 15 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
- Functional analysis and transcriptome profile of meninges and skin fibroblasts from human-aged donorsCell proliferation · 2024
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 GSE255684_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 PRJNA1076156 and SRA study SRP489612. 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 15 sample titles: 15 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.
- GSM8077434 Fibroblasts,skin,C2,positive
- GSM8077435 Fibroblasts,meninges,C2,positive
- GSM8077436 Fibroblasts,skin,C4,positive
- GSM8077437 Fibroblasts,meninges,C4,positive
- GSM8077438 Fibroblasts,skin,C5,positive
- GSM8077439 Fibroblasts,meninges,C5,negative
- GSM8077440 Fibroblasts,meninges,C5,positive
- GSM8077441 Fibroblasts,skin,C3,positive
- GSM8077442 Fibroblasts,meninges,C3,positive
- GSM8077443 Fibroblasts,skin,C6,positive
- GSM8077444 Fibroblasts,meninges,C6,negative
- GSM8077445 Fibroblasts,meninges,C6,positive
- GSM8077446 Fibroblasts,skin,C1,positive
- GSM8077447 Fibroblasts,meninges,C1,negative
- GSM8077448 Fibroblasts,meninges,C1,positive
- GSE269317 Reduced WNT4 expression in normal skin fibroblasts leads to ‘Dupuytren-like’ changes in the transcriptome 16 samples shares fibroblasts, skin
- GSE330762 Kabuki syndrome type I fibroblast multi-omics dataset: bulk RNA-seq profiles from primary skin fibroblasts 19 samples shares fibroblasts, skin
- GSE231998 The use of ectopic volar fibroblasts to modify skin identity 49 samples shares fibroblasts, skin
- GSE326530 Comparative circadian transcriptome analysis reveals dampened and phase-advanced rhythms in sun-exposed skin 160 samples shares skin
- GSE154200 Skin transcriptome of non-communicable inflammatory skin diseases 376 samples shares skin
- GSE285008 Transcriptome Response and Protein Abundance are Correlated with Split Formation and Cell Detachment as Secondary Effects to Autoantibodies in Human Skin Organ Culture Models for Pemphgus Vulgaris 78 samples shares skin
- GSE244679 Whole Transcriptome Profiling of Lesional Psoriatic and Adjacent Normal Skin Tissues 48 samples shares skin
- GSE235093 Pre-existing skin-resident CD8 and γδ T cell circuits mediate immune response in Merkel cell carcinoma and Predict immunotherapy efficacy 333 samples shares skin
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.