Maintenance of histone crotonylation by YEATS2 and GCDH drives EMT in head and neck cancer [ChIP-seq]
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 10 samples
- What it is
- ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
- Organism
- Homo sapiens (human)
- Topic
- Head and neck cancerThis series is part of our curated briefing on it.
- Samples
- 10 samples: 2 × BICR10_YEATS2 vs 2 × BICR10_Input vs 2 × BICR10_shControl_H3K27C vs 2 × BICR10_shYEATS2_H3K27CGroups 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
- Interplay of YEATS2 and GCDH regulates histone crotonylation and drives EMT in head and neck cancereLife · 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 GSE275975_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.
Also filed as BioProject PRJNA1154002 and SRA study SRP529419. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 8 samples.
How we read this: 4 replicated groups read from 10 sample titles; they account for 8 of them. 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.
- GSM8488889 BICR10_YEATS2_1 BICR10_YEATS2
- GSM8488890 BICR10_YEATS2_2 BICR10_YEATS2
- GSM8488891 BICR10_Input_1 BICR10_Input
- GSM8488892 BICR10_Input_2 BICR10_Input
- GSM8488893 BICR10_shControl_H3K27Cr_1 BICR10_shControl_H3K27C
- GSM8488894 BICR10_shControl_H3K27Cr_2 BICR10_shControl_H3K27C
- GSM8488895 BICR10_shYEATS2_H3K27Cr_1 BICR10_shYEATS2_H3K27C
- GSM8488896 BICR10_shYEATS2_H3K27Cr_2 BICR10_shYEATS2_H3K27C
- GSM8488897 BICR10_shControl_Input
- GSM8488898 BICR10_shYEATS2_Input
- GSE172146 Aberrant translation regulation by METTL1/WDR4-mediated tRNA N7-methylguanosine modification drives HNSCC progression 28 samples same disease briefing · shares drives
- GSE103322 Single cell RNA-seq analysis of head and neck cancer 5901 samples same disease briefing
- GSE159067 Immunologically hot phenotype is associated with response to PD-1/PD-L1 inhibitors in patients with advanced head and neck squamous cell carcinoma. 102 samples same disease briefing
- GSE139324 Immune landscape of viral- and carcinogen-drived head and neck cancer 63 samples same disease briefing
- GSE13601 Oral tongue cancer gene expression profiling: Identification of novel potential prognosticators 58 samples same disease briefing
- GSE162738 Immune gene signatures in oropharyngeal cancers are associated with inverse prognosis by HPV-status 51 samples same disease briefing
- GSE164690 Investigating Immune and Non-Immune Cell Interactions in Head and Neck Tumors by Single-Cell RNA Sequencing 51 samples same disease briefing
- GSE181919 Single-cell transcriptome profiling of the stepwise progression of head and neck cancer 37 samples same disease briefing
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.