Effect of latrunculin A on gene expression in human skin dermal fibroblasts
RNA-seq (gene expression) · human · 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
- Homo sapiens (human)
- 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.
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 GSE305928_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 PRJNA1308465 and SRA study SRP610295. 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.
- GSM9188142 96492
- GSM9188143 96493
- GSM9188144 96494
- GSM9188145 96495
- GSM9188146 96496
- GSM9188147 96497
- GSM9188148 96498
- GSM9188149 96499
- GSM9188150 96500
- GSM9188151 96501
- GSM9188152 96502
- GSM9188153 96503
- GSE251807 Investigation of gene expression changes in normal human dermal fibroblasts after exposure to bone marrow mesenchymal stromal cell secretome 32 samples shares fibroblasts, dermal
- 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
- GSE278330 Systemic IL-23 blockade downregulates IL-23 receptor-expressing Type 17 T-cell subsets and upregulates regulatory gene expression in myeloid cells in human psoriasis skin 63 samples shares skin
- GSE130955 Global skin gene expression profile of early diffuse cutaneous systemic sclerosis shows a prominent innate and adaptive immunity profile 91 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
- GSE330188 Crnic Institute Human Trisome Project - Tofacitinib for Immune Skin Conditions in Down Syndrome: PolyA RNAseq from whole blood 194 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.