Characterization of H3K4me3 profile in circulating neutrophils from COPD patients [ChIP-Seq]
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 21 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)
- Samples
- 21 samples: 21 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.
- Paper
- Innate immune reprogramming in circulating neutrophils of COPD patientsThe Journal of allergy and clinical immunology · 2025
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 GSE278399_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 PRJNA1167187 and SRA study SRP535686. 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 21 sample titles: 21 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.
- GSM8545874 HD_101_K4me3
- GSM8545875 HD_105_K4me3
- GSM8545876 HD_106_5_K4me3
- GSM8545877 HD_109_K4me3
- GSM8545878 HD_111_K4me3
- GSM8545879 HD_112_K4me3
- GSM8545880 HD_116_K4me3
- GSM8545881 HD_125_5_K4me3
- GSM8545882 HD_148_K4me3
- GSM8545883 HD_149_K4me3
- GSM8545884 HD_95_K4me3
- GSM8545885 COPD_100_K4me3
- GSM8545886 COPD_102_K4me3
- GSM8545887 COPD_103_K4me3
- GSM8545888 COPD_104_K4me3
- GSM8545889 COPD_106_K4me3
- GSM8545890 COPD_107_K4me3
- GSM8545891 COPD_108_K4me3
- GSM8545892 COPD_110_K4me3
- GSM8545893 COPD_115_K4me3
- GSM8545894 COPD_94_K4me3
- GSE278206 Characterization of the transcriptional profile of circulating neutrophils from COPD patients [RNA-Seq] 77 samples shares copd, circulating, neutrophils
- GSE278400 Profile in circulating neutrophils from COPD patients 98 samples shares copd, circulating, neutrophils
- GSE280574 mChIP-seq for high-throughput epigenomic profiling reveals a decoupling of H2A.Z and H3K4me3 in cancer 576 samples shares h3k4me3, chip-seq
- GSE339365 Genome-wide H3K4me3 profiling of circulating immune cells reveals dynamic epigenetic reprogramming during acute critical COVID-19 120 samples shares h3k4me3, circulating
- GSE310167 Embryonic stem cell factors DPPA2/4 amplify active H3K4me3-H2AK119ub chromatin domains in non-small cell lung cancer (ChIP-seq) 54 samples shares h3k4me3, chip-seq
- GSE227793 H3K27ac and H3K4me3 ChIP-Seq profiling of a human paired left and right atrial cohort of atrial fibrillation and healthy sinus rhythm individuals 52 samples shares h3k4me3, chip-seq
- GSE290054 H3K4me3 instructs transcription at intergenic active regulatory elements [ChIP-seq] 35 samples shares h3k4me3, chip-seq
- GSE294235 Rheumatoid Arthritis circulating CD14+ monocytes are epigenetically primed [ChIP-seq] 75 samples shares circulating, chip-seq
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.