Neutrophils restricted contribution of CCRL2 genetic variants to COVID-19 severity
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)
- Samples
- 12 samples: 12 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
- Neutrophils restricted contribution of CCRL2 genetic variants to COVID-19 severityHeliyon · 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 GSE269643_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 PRJNA1122994 and SRA study SRP513363. 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 12 sample titles: 12 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.
- GSM8323364 monocytes,H3K27ac,NT,HD1,ChIP
- GSM8323365 monocytes,H3K27ac,NT,HD2,ChIP
- GSM8323366 monocytes,H3K27ac,NT,HD3,ChIP
- GSM8323367 monocytes,H3K27ac,R848,HD1,ChIP
- GSM8323368 monocytes,H3K27ac,R848,HD2,ChIP
- GSM8323369 monocytes,H3K27ac,R848,HD3,ChIP
- GSM8323370 neutrophils,H3K27ac,NT,HD1,ChIP
- GSM8323371 neutrophils,H3K27ac,NT,HD2,ChIP
- GSM8323372 neutrophils,H3K27ac,NT,HD3,ChIP
- GSM8323373 neutrophils,H3K27ac,R848,HD1,ChIP
- GSM8323374 neutrophils,H3K27ac,R848,HD2,ChIP
- GSM8323375 neutrophils,H3K27ac,R848,HD3,ChIP
- GSE339365 Genome-wide H3K4me3 profiling of circulating immune cells reveals dynamic epigenetic reprogramming during acute critical COVID-19 120 samples shares covid-19, genetic
- GSE210435 TET2 Mutant Clonal Hematopoiesis Enhances Severity of COVID-19 Related Cytokine Release Syndrome and is Associated with Increased Mortality. 363 samples shares covid-19, severity
- GSE300696 Identification of reactive CpGs and RNA expression in early COVID-19 through cis-eQTM analysis reflecting disease severity and recovery [RNA-seq] 346 samples shares covid-19, severity
- GSE264443 Dynamic gene expression analysis reveals distinct severity phases of immune and cellular dysregulation in COVID-19 189 samples shares covid-19, severity
- GSE196198 Longitudinal single-cell multiomics data for different severity of COVID-19 100 samples shares covid-19, severity
- GSE210432 TET2 Mutant Clonal Hematopoiesis Enhances Severity of COVID-19 Related Cytokine Release Syndrome and is Associated with Increased Mortality [scMULT] 36 samples shares covid-19, severity
- GSE272381 Transcriptomic Profiling of Neutrophils and Low-Density Granulocytes in COVID-19 Patients 36 samples shares covid-19, neutrophils
- GSE234207 The difference between neutrophils of HC, COVID-19 patients admitted in ICU and wards. 35 samples shares covid-19, neutrophils
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.