Estrogen-induced NETs promote aseptic inflammation via NKCC1 [human]
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 34 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
- 34 samples: 5 conditions, mostly with about 7 replicates eachGroups 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
- Monkey multi-organ cell atlas exposed to estrogenLife medicine · 2024
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 GSE223639_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 PRJNA927014. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 34 samples.
How we read this: 5 replicated groups read from 34 sample titles; they account for 34 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.
- GSM6969696 normal endometrium from the patient 1 normal endometrium from…
- GSM6969697 normal endometrium from the patient 2 normal endometrium from…
- GSM6969698 normal endometrium from the patient 3 normal endometrium from…
- GSM6969699 normal endometrium from the patient 4 normal endometrium from…
- GSM6969700 normal endometrium from the patient 5 normal endometrium from…
- GSM6969701 normal endometrium from the patient 6 normal endometrium from…
- GSM6969702 normal endometrium from the patient 7 normal endometrium from…
- GSM6969703 endometrial hyperplasia from the patient 8 endometrial hyperplasia…
- GSM6969704 endometrial hyperplasia from the patient 9 endometrial hyperplasia…
- GSM6969705 endometrial hyperplasia from the patient 10 endometrial hyperplasia…
- GSM6969706 endometrial hyperplasia from the patient 11 endometrial hyperplasia…
- GSM6969707 endometrial hyperplasia from the patient 12 endometrial hyperplasia…
- GSM6969708 endometrial hyperplasia from the patient 13 endometrial hyperplasia…
- GSM6969709 endometrial hyperplasia from the patient 14 endometrial hyperplasia…
- GSM6969710 endometrial hyperplasia from the patient 15 endometrial hyperplasia…
- GSM6969711 endometrial hyperplasia from the patient 16 endometrial hyperplasia…
- GSM6969712 endometrial hyperplasia from the patient 17 endometrial hyperplasia…
- GSM6969713 endometritis from the patient 18 endometritis from the p…
- GSM6969714 endometritis from the patient 19 endometritis from the p…
- GSM6969715 endometritis from the patient 20 endometritis from the p…
- GSM6969716 endometritis from the patient 21 endometritis from the p…
- GSM6969717 endometritis from the patient 22 endometritis from the p…
- GSM6969718 endometritis from the patient 23 endometritis from the p…
- GSM6969719 endometritis from the patient 24 endometritis from the p…
- GSM6969720 scATAC-seq for patient 1 scATAC-seq for patient
- GSM6969721 scATAC-seq for patient 2 scATAC-seq for patient
- GSM6969722 scATAC-seq for patient 3 scATAC-seq for patient
- GSM6969723 scATAC-seq for patient 4 scATAC-seq for patient
- GSM6969724 scATAC-seq for patient 5 scATAC-seq for patient
- GSM6969725 scATAC-seq for patient 6 scATAC-seq for patient
- GSM6969726 scATAC-seq for patient 7 scATAC-seq for patient
- GSM6969727 scATAC-seq for patient 8 scATAC-seq for patient
- GSM6969728 spatial transcriptome for patient 1 spatial transcriptome f…
- GSM6969729 spatial transcriptome for patient 2 spatial transcriptome f…
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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.