A novel butyrate derivative, zinc dibutyroyllysinate, blunts MITF expression and up-regulates retinol and differentiation pathway mRNAs in a full-thickness human skin model
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
- 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
- A Novel Butyrate Derivative, Zinc Dibutyroyllysinate, Blunts Microphthalmia-Associated Transcription Factor Expression and Up-Regulates Retinol and Differentiation Pathway mRNAs in a Full-Thickness Human Skin ModelInternational journal of molecular sciences · 2025
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 GSE290668_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 PRJNA1229507 and SRA study SRP566800. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 12 more — browse all 12 samples with per-sample file links →
- GSE283855 Direct Targeting of the Oncogene Microphthalmia-Associated Transcription Factor (MITF) by Fragment-Based Discovery [RNA-seq] 42 samples shares mitf
- GSE299965 Investigation of the impact of transcription factor SP1,MITF and CREB3L1 in HeLa cells 20 samples shares mitf
- GSE264653 Effect of MITF depletion on gene expression in U2OS cells 18 samples shares mitf
- GSE273789 Melanoma plasticity is regulated by mTOR-mediated crosstalk between MITF and TFE3 16 samples shares mitf
- GSE61544 Low MITF/AXL ratio predicts early resistance to multiple targeted drugs in melanoma 14 samples shares mitf
- GSE167496 MITF perturbation in A2058 Melanoma cell lines 12 samples shares mitf
- GSE255256 Transcriptomics profiling of the effect of inducible knock-down of the melanocyte inducing transcription factor (MITF) in melanoma cell lines 12 samples shares mitf
- GSE274811 RNA sequencing of WM164 cells overexpressing tethered MafG-MITF (T-MGM) 6 samples shares mitf
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.