Activation of the imprinted Prader-Willi Syndrome locus by CRISPR-based epigenome editing
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 98 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
- 98 samples: 12 conditions, mostly with about 6 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
- Activation of the imprinted Prader-Willi syndrome locus by CRISPR-based epigenome editingCell genomics · 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 GSE285306_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 PRJNA1202191 and SRA study SRP460515. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 54 samples.
How we read this: 12 replicated groups read from 98 sample titles; they account for 54 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.
- GSM8698396 WT iPSC VP64 NT gRNA rep1 WT iPSC VP64 NT gRNA
- GSM8698397 WT iPSC VP64 NT gRNA rep2 WT iPSC VP64 NT gRNA
- GSM8698398 WT iPSC VP64 NT gRNA rep3 WT iPSC VP64 NT gRNA
- GSM8698399 WT iPSC Tet1v4 NT gRNA rep1 WT iPSC Tet1v4 NT gRNA
- GSM8698400 WT iPSC Tet1v4 NT gRNA rep2 WT iPSC Tet1v4 NT gRNA
- GSM8698401 WT iPSC Tet1v4 NT gRNA rep3 WT iPSC Tet1v4 NT gRNA
- GSM8698402 ∆PWS iPSC VP64 NT gRNA rep1 ∆PWS iPSC VP64 NT gRNA
- GSM8698403 ∆PWS iPSC VP64 NT gRNA rep2 ∆PWS iPSC VP64 NT gRNA
- GSM8698404 ∆PWS iPSC VP64 NT gRNA rep3 ∆PWS iPSC VP64 NT gRNA
- GSM8698405 ∆PWS iPSC VP64 mat1 gRNA rep1 ∆PWS iPSC VP64 mat1 gRNA
- GSM8698406 ∆PWS iPSC VP64 mat1 gRNA rep2 ∆PWS iPSC VP64 mat1 gRNA
- GSM8698407 ∆PWS iPSC VP64 mat1 gRNA rep3 ∆PWS iPSC VP64 mat1 gRNA
- GSM8698408 ∆PWS iPSC Tet1v4 NT gRNA rep1 ∆PWS iPSC Tet1v4 NT gRNA
- GSM8698409 ∆PWS iPSC Tet1v4 NT gRNA rep2 ∆PWS iPSC Tet1v4 NT gRNA
- GSM8698410 ∆PWS iPSC Tet1v4 NT gRNA rep3 ∆PWS iPSC Tet1v4 NT gRNA
- GSM8698411 ∆PWS iPSC Tet1v4 mat3 gRNA rep1 ∆PWS iPSC Tet1v4 mat3 g…
- GSM8698412 ∆PWS iPSC Tet1v4 mat3 gRNA rep2 ∆PWS iPSC Tet1v4 mat3 g…
- GSM8698413 ∆PWS iPSC Tet1v4 mat3 gRNA rep3 ∆PWS iPSC Tet1v4 mat3 g…
- GSM8699949 WT iPSC VP64 NT gRNA rep1 [CR]
- GSM8699950 WT iPSC VP64 NT gRNA rep2 [CR]
- GSM8699951 WT iPSC Tet1v4 NT gRNA rep1 [CR]
- GSM8699952 WT iPSC Tet1v4 NT gRNA rep2 [CR]
- GSM8699953 ∆PWS iPSC VP64 NT gRNA rep1 [CR]
- GSM8699954 ∆PWS iPSC VP64 NT gRNA rep2 [CR]
- GSM8699955 ∆PWS iPSC VP64 mat1 gRNA rep1 [CR]
- GSM8699956 ∆PWS iPSC VP64 mat1 gRNA rep2 [CR]
- GSM8699957 ∆PWS iPSC Tet1v4 NT gRNA rep1 [CR]
- GSM8699958 ∆PWS iPSC Tet1v4 NT gRNA rep2 [CR]
- GSM8699959 ∆PWS iPSC Tet1v4 mat3 gRNA rep1 [CR]
- GSM8699960 ∆PWS iPSC Tet1v4 mat3 gRNA rep2 [CR]
- GSM8699961 Negative control IgG K met stat panel [CR]
- GSM8699962 Positive control cell sample K4me3 K met stat panel [CR]
- GSM8699963 KRAB sorted high GFP rep1 KRAB sorted high GFP
- GSM8699964 KRAB sorted high GFP rep2 KRAB sorted high GFP
- GSM8699965 KRAB sorted high GFP rep3 KRAB sorted high GFP
- GSM8699966 KRAB sorted low GFP rep1 KRAB sorted low GFP
- GSM8699967 KRAB sorted low GFP rep2 KRAB sorted low GFP
- GSM8699968 KRAB sorted low GFP rep3 KRAB sorted low GFP
- GSM8700015 Tet1c sorted high GFP rep1 Tet1c sorted high GFP
- GSM8700016 Tet1c sorted high GFP rep2 Tet1c sorted high GFP
+ 58 more — browse all 98 samples with per-sample file links →
- GSE243185 Activation of the imprinted Prader-Willi Syndrome locus by CRISPR-based epigenome editing [RNA-seq] 18 samples shares prader-willi, crispr-based, activation, imprinted, epigenome, editing, locus
- GSE270732 The immune profile of circulating autoreactive CD4 T cells is imprinted through tissue activation during autoimmune liver diseases (Exp 1) 13 samples shares activation, imprinted
- GSE290246 Transcriptional activation of the CXCL gene family locus in mature human sperm in the presence of female-derived reproductive fluid 10 samples shares activation, locus
- GSE333617 Targeting JAK1/3-STAT1 signaling attenuates cytotoxic T lymphocytes activation for the treatment in Stevens-Johnson syndrome and toxic epidermal necrolysis 26 samples shares activation
- GSE271090 Centralized control of dynamic gene regulatory circuits governs human T cell rest and activation 443 samples shares activation
- GSE274680 Inflammation and lymphocyte activation during longitudinal progression to rheumatoid arthritis in at-risk individuals 243 samples shares activation
- GSE318645 Dual Immune Checkpoint Blockade Induces Distinct Systemic and Intratumoral Immune Activation in Recurrent Glioblastoma 226 samples shares activation
- GSE309979 GeoMx GeoMx-DSP Toxic Lipid-induced Epigenetic Activation of ICAM1 in Liver Sinusoidal Endothelium Regulates Myeloid-Driven Fibro-inflammatory Response in MASH 217 samples shares activation
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.