Genome-wide H3K4me3 profiling of circulating immune cells reveals dynamic epigenetic reprogramming during acute critical COVID-19
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 120 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
- 120 samples: 116 distinct titles, 4 of them repeatedGroups 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 GSE339365_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 PRJNA1498531 and SRA study SRP719950. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 120 sample titles: 116 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.
- GSM9894260 ICU patient #1, timepoint 1, ChIP with H3K4me3 antibody, Lane001
- GSM9894261 ICU patient #1, timepoint 1, ChIP with H3Pan antibody (Input), Lane001
- GSM9894262 ICU patient #2, timepoint 1, ChIP with H3K4me3 antibody, Lane001
- GSM9894263 ICU patient #2, timepoint 1, ChIP with H3Pan antibody (Input), Lane001
- GSM9894264 ICU patient #2, timepoint 2, ChIP with H3K4me3 antibody, Lane001
- GSM9894265 ICU patient #2, timepoint 2, ChIP with H3Pan antibody (Input), Lane001
- GSM9894266 ICU patient #3, timepoint 1, ChIP with H3K4me3 antibody, Lane001
- GSM9894267 ICU patient #3, timepoint 1, ChIP with H3Pan antibody (Input), Lane001
- GSM9894268 ICU patient #3, timepoint 2, ChIP with H3K4me3 antibody, Lane001
- GSM9894269 ICU patient #3, timepoint 2, ChIP with H3Pan antibody (Input), Lane001
- GSM9894270 ICU patient #4, timepoint 1, ChIP with H3K4me3 antibody, Lane001
- GSM9894271 ICU patient #4, timepoint 1, ChIP with H3Pan antibody (Input), Lane001
- GSM9894272 ICU patient #5, timepoint 1, ChIP with H3K4me3 antibody, Lane001
- GSM9894273 ICU patient #5, timepoint 1, ChIP with H3Pan antibody (Input), Lane001
- GSM9894274 ICU patient #5, timepoint 2, ChIP with H3K4me3 antibody, Lane001
- GSM9894275 ICU patient #5, timepoint 2, ChIP with H3Pan antibody (Input), Lane001
- GSM9894276 ICU patient #6, timepoint 1, ChIP with H3K4me3 antibody, Lane001
- GSM9894277 ICU patient #6, timepoint 1, ChIP with H3Pan antibody (Input), Lane001
- GSM9894278 ICU patient #6, timepoint 2, ChIP with H3K4me3 antibody, Lane001
- GSM9894279 ICU patient #6, timepoint 2, ChIP with H3Pan antibody (Input), Lane001
- GSM9894280 ICU patient #7, timepoint 1, ChIP with H3K4me3 antibody, Lane001
- GSM9894281 ICU patient #7, timepoint 1, ChIP with H3Pan antibody (Input), Lane001
- GSM9894282 ICU patient #8, timepoint 1, ChIP with H3K4me3 antibody, Lane001
- GSM9894283 ICU patient #8, timepoint 1, ChIP with H3Pan antibody (Input), Lane001
- GSM9894284 ICU patient #9, timepoint 1, ChIP with H3K4me3 antibody, Lane001
- GSM9894285 ICU patient #9, timepoint 1, ChIP with H3Pan antibody (Input), Lane001
- GSM9894286 ICU patient #9, timepoint 2, ChIP with H3K4me3 antibody, Lane001
- GSM9894287 ICU patient #9, timepoint 2, ChIP with H3Pan antibody (Input), Lane001
- GSM9894288 ICU patient #10, timepoint 1, ChIP with H3K4me3 antibody, Lane001
- GSM9894289 ICU patient #10, timepoint 1, ChIP with H3Pan antibody (Input), Lane001
- GSM9894290 ICU patient #10, timepoint 2, ChIP with H3K4me3 antibody, Lane001
- GSM9894291 ICU patient #10, timepoint 2, ChIP with H3Pan antibody (Input), Lane001
- GSM9894292 ICU patient #11, timepoint 1, ChIP with H3K4me3 antibody, Lane001
- GSM9894293 ICU patient #11, timepoint 1, ChIP with H3Pan antibody (Input), Lane001
- GSM9894294 ICU patient #11, timepoint 1, ChIP with H3Pan antibody (Input), Lane002
- GSM9894295 ICU patient #11, timepoint 2, ChIP with H3K4me3 antibody, Lane001
- GSM9894296 ICU patient #11, timepoint 2, ChIP with H3Pan antibody (Input), Lane001
- GSM9894297 ICU patient #12, timepoint 1, ChIP with H3K4me3 antibody, Lane001
- GSM9894298 ICU patient #12, timepoint 1, ChIP with H3Pan antibody (Input), Lane001
- GSM9894299 ICU patient #12, timepoint 1, ChIP with H3Pan antibody (Input), Lane002
+ 80 more — browse all 120 samples with per-sample file links →
- GSE212866 Dynamics of gene expression profiling by microarrays and identification of high-risk patients for severe COVID-19 230 samples shares covid-19, dynamic
- GSE264443 Dynamic gene expression analysis reveals distinct severity phases of immune and cellular dysregulation in COVID-19 189 samples shares covid-19, dynamic
- GSE281165 TFE3 fusion oncoprotein condensates drive epigenetic reprogramming and cancer progression [CUT&RUN] 43 samples shares reprogramming, epigenetic
- GSE206726 Epigenetic reprogramming of the mesenchymal state by SUV39H1/H2 [ChIP-Seq] 42 samples shares reprogramming, epigenetic
- GSE311971 Regulation of lineage reprogramming by dynamic chromatin SUMOylation (ChIP-seq) 41 samples shares reprogramming, dynamic
- GSE277721 Genome-wide in vivo dynamics of cohesin-mediated loop extrusion and its role in transcription activation 176 samples shares genome-wide, dynamic
- GSE307670 Epigenetic reprogramming of stromal cell states underpins pathologic tissue niches in Crohn’s disease 148 samples shares reprogramming, epigenetic
- GSE232076 In vitro reconstitution of epigenetic reprogramming in the human germ line [RNA-Seq] 89 samples shares reprogramming, 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.