Analysis of chromatin accessibility changes by ATAC-seq to determine how sustained exposure to physiologically relevant Tryptophan metabolites in HNSCC cells remodels chromatin.
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 12 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
- 12 samples: 3 × OSC19 cells (oral quaous cell carcinoma cells), treated with vehicle, vs 3 × OSC19 cells (oral quaous cell carcinoma cells), treated with TCDD, vs 3 × OSC19 cells (oral quaous cell carcinoma cells), treated with Tryp metabolites, vs 3 × OSC19 cells (oral quaous cell carcinoma cells), treated with Tryp metabolites and CH223191,Groups 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.
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 GSE334545_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 PRJNA1475429 and SRA study SRP707209. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.
- GSM9790637 OSC19 cells (oral quaous cell carcinoma cells), treated with vehicle, rep 1 OSC19 cells (oral quaou…
- GSM9790638 OSC19 cells (oral quaous cell carcinoma cells), treated with vehicle, rep 2 OSC19 cells (oral quaou…
- GSM9790639 OSC19 cells (oral quaous cell carcinoma cells), treated with vehicle, rep 3 OSC19 cells (oral quaou…
- GSM9790640 OSC19 cells (oral quaous cell carcinoma cells), treated with TCDD, rep 1 OSC19 cells (oral quaou…
- GSM9790641 OSC19 cells (oral quaous cell carcinoma cells), treated with TCDD, rep 2 OSC19 cells (oral quaou…
- GSM9790642 OSC19 cells (oral quaous cell carcinoma cells), treated with TCDD, rep 3 OSC19 cells (oral quaou…
- GSM9790643 OSC19 cells (oral quaous cell carcinoma cells), treated with Tryp metabolites, rep 1 OSC19 cells (oral quaou…
- GSM9790644 OSC19 cells (oral quaous cell carcinoma cells), treated with Tryp metabolites, rep 2 OSC19 cells (oral quaou…
- GSM9790645 OSC19 cells (oral quaous cell carcinoma cells), treated with Tryp metabolites, rep 3 OSC19 cells (oral quaou…
- GSM9790646 OSC19 cells (oral quaous cell carcinoma cells), treated with Tryp metabolites and CH223191, rep 1 OSC19 cells (oral quaou…
- GSM9790647 OSC19 cells (oral quaous cell carcinoma cells), treated with Tryp metabolites and CH223191, rep 2 OSC19 cells (oral quaou…
- GSM9790648 OSC19 cells (oral quaous cell carcinoma cells), treated with Tryp metabolites and CH223191, rep 3 OSC19 cells (oral quaou…
- GSE114446 Integrated single-cell and bulk gene expression and ATAC-seq reveals heterogeneity and early changes in pathways associated with resistance to cetuximab in HNSCC-sensitive cell lines 33 samples same disease briefing · shares hnscc
- GSE172146 Aberrant translation regulation by METTL1/WDR4-mediated tRNA N7-methylguanosine modification drives HNSCC progression 28 samples same disease briefing · shares hnscc
- GSE173161 Comparative analysis of gene expression after Oct4 or Scrambled siRNA knockdown in HNSCC cell lines 18 samples same disease briefing · shares hnscc
- GSE185965 Single cell RNA sequencing of head and neck squamous carcinoma (HNSCC) patient sample 3 samples same disease briefing · shares hnscc
- GSE132627 RNA-seq analysis of CD276-high/EpCAM+ cells from HNSCC patient-derived-xenograft 2 samples same disease briefing · shares hnscc
- GSE103322 Single cell RNA-seq analysis of head and neck cancer 5901 samples same disease briefing
- GSE139324 Immune landscape of viral- and carcinogen-drived head and neck cancer 63 samples same disease briefing
- GSE162738 Immune gene signatures in oropharyngeal cancers are associated with inverse prognosis by HPV-status 51 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.