In vivo CRISPR screen reveals interplay of epigenetic regulators underlies kinetics of hepatobiliary reprogramming [CUT&Tag]
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 183 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
- Mus musculus (mouse)
- Samples
- 183 samples: 59 conditions, mostly in duplicateGroups 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
- In vivo CRISPR screening reveals epigenetic regulators of hepatobiliary plasticityGenes & development · 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 GSE270508_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 PRJNA1127021 and SRA study SRP515409. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 129 samples.
How we read this: 59 replicated groups read from 183 sample titles; they account for 129 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.
- GSM8345571 BEC_rep1_H3K27ac
- GSM8345572 BEC_rep1_H3K27me3
- GSM8345573 BEC_rep1_H3K36me1 BEC_rep1_H3K36me
- GSM8345574 BEC_rep1_H3K36me3 BEC_rep1_H3K36me
- GSM8345575 BEC_rep1_H3K4me1 BEC_rep1_H3K4me
- GSM8345576 BEC_rep1_H3K4me2_CUTAC
- GSM8345577 BEC_rep1_H3K4me3 BEC_rep1_H3K4me
- GSM8345578 BEC_rep1_H4K20me1 BEC_rep1_H4K20me
- GSM8345579 BEC_rep1_H4K20me2 BEC_rep1_H4K20me
- GSM8345580 BEC_rep1_H4K20me3 BEC_rep1_H4K20me
- GSM8345581 BEC_rep2_H3K27ac
- GSM8345582 BEC_rep2_H3K27me3
- GSM8345583 BEC_rep2_H3K36me1 BEC_rep2_H3K36me
- GSM8345584 BEC_rep2_H3K36me3 BEC_rep2_H3K36me
- GSM8345585 BEC_rep2_H3K4me1 BEC_rep2_H3K4me
- GSM8345586 BEC_rep2_H3K4me2_CUTAC
- GSM8345587 BEC_rep2_H3K4me3 BEC_rep2_H3K4me
- GSM8345588 BEC_rep2_H4K20me1 BEC_rep2_H4K20me
- GSM8345589 BEC_rep2_H4K20me2 BEC_rep2_H4K20me
- GSM8345590 BEC_rep2_H4K20me3 BEC_rep2_H4K20me
- GSM8345591 BEC_rep3_H3K36me1 BEC_rep3_H3K36me
- GSM8345592 BEC_rep3_H3K36me3 BEC_rep3_H3K36me
- GSM8345593 Hep_rep0_H3K36me3
- GSM8345594 Hep_rep1_H3K27ac
- GSM8345595 Hep_rep1_H3K27me3
- GSM8345596 Hep_rep1_H3K36me1 Hep_rep1_H3K36me
- GSM8345597 Hep_rep1_H3K36me3 Hep_rep1_H3K36me
- GSM8345598 Hep_rep1_H3K4me1 Hep_rep1_H3K4me
- GSM8345599 Hep_rep1_H3K4me2_CUTAC
- GSM8345600 Hep_rep1_H3K4me3 Hep_rep1_H3K4me
- GSM8345601 Hep_rep1_H4K20me1 Hep_rep1_H4K20me
- GSM8345602 Hep_rep1_H4K20me2 Hep_rep1_H4K20me
- GSM8345603 Hep_rep1_H4K20me3 Hep_rep1_H4K20me
- GSM8345604 Hep_rep2_H3K27ac
- GSM8345605 Hep_rep2_H3K27me3
- GSM8345606 Hep_rep2_H3K36me1 Hep_rep2_H3K36me
- GSM8345607 Hep_rep2_H3K36me3 Hep_rep2_H3K36me
- GSM8345608 Hep_rep2_H3K4me1 Hep_rep2_H3K4me
- GSM8345609 Hep_rep2_H3K4me2_CUTAC
- GSM8345610 Hep_rep2_H3K4me3 Hep_rep2_H3K4me
+ 143 more — browse all 183 samples with per-sample file links →
- GSE274865 Epigenetic regulators of clonal hematopoiesis control CD8 T cell stemness during immunotherapy [CUT&Tag] 36 samples shares cut, epigenetic, regulators
- GSE319420 Uncovering Critical Lysines in Mammalian Histone H3 with High-Throughput CRISPR Prime Editing [CUT&Tag] 26 samples shares crispr, cut
- GSE292333 H2AK119ub1-MLL2 counteraction underlies heritable H3K27me3 formation in oocytes [CATCH-seq and CUT&RUN] 44 samples shares cut, underlies
- GSE298002 Stage-specific Epigenetic Priming Amplifies Gene Activation During Lineage Commitment [CUT&Run] 38 samples shares cut, epigenetic
- GSE279042 Reprogramming of epidermal keratinocytes by PITX1 transforms the cutaneous cellular landscape and promotes wound healing [CUT&Tag] 30 samples shares cut, reprogramming
- GSE334890 Discovery of Tcf7 regulators with clonally-resolved CRISPR screens identifies Trim28 as a mediator of CD8 T cell differentiation in tumors 48 samples shares crispr, regulators
- GSE276682 Single-cell transcriptome analysis revealed cellular reprogramming following Tetramethylpyrazine treatment in LPS-induced acute lung injury 12 samples shares cut, reprogramming
- GSE294258 Intracellular iron homeostasis-regulated epigenetic reprogramming contributes to -7/del(7q) leukemia 71 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.