Multi-omics Sequencing reveals Epigenetic Regulation in Actinic Keratosis and Cutaneous Squamous Cell Carcinoma [850K DNA methylation array]
DNA methylation · human · 20 samples
- What it is
- DNA methylationChemical marks on DNA that help switch genes on or off.
- Organism
- Homo sapiens (human)
- Samples
- 20 samples: 20 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.
- Paper
- Multi-omics analysis reveals the crosstalk of epigenetic regulatory networks in cutaneous squamous cell carcinoma progressionJournal of translational medicine · 2025
Read the full summary ↓
Direct links to NCBI, 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.
Whole study · RAW.tar
Everything the authors deposited as one archive (GSE277273_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.
What the files usually look like: Look for beta-value tables or raw IDAT files among the supplementary files.
Also filed as BioProject PRJNA1161631. 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 20 sample titles: 20 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.
- GSM8517594 cSCC_P1_850K
- GSM8517595 Normal_P10_850K
- GSM8517596 AK_P10_850K
- GSM8517597 Normal_P1_850K
- GSM8517598 Normal_P2_850K
- GSM8517599 cSCC_P3_850K
- GSM8517600 Normal_P3_850K
- GSM8517601 cSCC_P4_850K
- GSM8517602 AK_P6_850K
- GSM8517603 Normal_P6_850K
- GSM8517604 AK_P7_850K
- GSM8517605 Normal_P7_850K
- GSM8517606 AK_P8_850K
- GSM8517607 Normal_P8_850K
- GSM8517608 AK_P9_850K
- GSM8517609 Normal_P9_850K
- GSM8517610 Normal_P4_850K
- GSM8517611 cSCC_P5_850K
- GSM8517612 Normal_P5_850K
- GSM8517613 cSCC_P2_850K
- GSE277275 Multi-omics Sequencing reveals Epigenetic Regulation in Actinic Keratosis and Cutaneous Squamous Cell Carcinoma [m6A-seq] 40 samples shares multi-omics, epigenetic, keratosis, cutaneous, squamous, actinic
- GSE304097 DNA methylation profiling identifies long-range epigenetic silencing of clustered protocadherins as a key determinant of meningioma progression 293 samples shares methylation, epigenetic
- GSE279619 SETD2 loss-of-function uniquely sensitizes cells to epigenetic targeting of NSD1-directed H3K36 methylation. 124 samples shares methylation, epigenetic
- GSE302930 Epigenetic Atlas of Bladder Cancer Reveals Master Transcription Factors and Risk-Associated Regulatory Elements in Luminal and Basal-Squamous Molecular Subtypes 92 samples shares epigenetic, squamous
- GSE283621 Single-cell multi-omics analysis identifies metabolism-linked epigenetic reprogramming as a driver of therapy-resistant medulloblastoma 79 samples shares multi-omics, epigenetic
- GSE283619 Single-cell multi-omics analysis identifies metabolism-linked epigenetic reprogramming as a driver of therapy-resistant medulloblastoma [Multiome] 30 samples shares multi-omics, epigenetic
- GSE305720 Multi-omics unveils GTSE1 promotes esophageal squamous cell carcinoma stemness via Hippo signaling pathway 20 samples shares multi-omics, squamous
- GSE319448 DNA methylation stochasticity is linked to transcriptional variability and identifies convergent epigenetic disruption across genetically-defined subtypes of AML [CellCulture_WGBS] 12 samples shares methylation, epigenetic
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.