Multiome analysis of Kras-mutant intestinal epithelium 10 days post-recombination
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 20 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
- 20 samples: 20 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.
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 GSE301970_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 PRJNA1287797 and SRA study SRP598776. 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 20 sample titles: 20 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.
- GSM9092970 Kras_G12D-d10_rep1_atac
- GSM9092971 Kras_G12D-d10_rep1_gex
- GSM9092972 Kras_G12D-d10_rep2_atac
- GSM9092973 Kras_G12D-d10_rep2_gex
- GSM9092974 Kras_G12D-d10_rep3_atac
- GSM9092975 Kras_G12D-d10_rep3_gex
- GSM9092976 Kras_Q61R-d10_rep1_atac
- GSM9092977 Kras_Q61R-d10_rep1_gex
- GSM9092978 Kras_Q61R-d10_rep2_atac
- GSM9092979 Kras_Q61R-d10_rep2_gex
- GSM9092980 Kras_Q61R-d10_rep3_atac
- GSM9092981 Kras_Q61R-d10_rep3_gex
- GSM9092982 Kras_WT-d10_rep1_atac
- GSM9092983 Kras_WT-d10_rep1_gex
- GSM9092984 Kras_WT-d10_rep2_atac
- GSM9092985 Kras_WT-d10_rep2_gex
- GSM9092986 Kras_WT-d10_rep3_atac
- GSM9092987 Kras_WT-d10_rep3_gex
- GSM9092988 Kras_WT-d10_rep4_atac
- GSM9092989 Kras_WT-d10_rep4_gex
- GSE318068 eIF4G2-mediated Translation Initiation of Histone Modifiers is Essential for Intestinal Stem Cell Maintenance and Differentiation [Multiome] 16 samples shares intestinal, multiome
- GSE295472 NOD2 drives regenerative fetal-like reprogramming in the intestinal epithelium 15 samples shares intestinal, epithelium
- GSE275296 H3K36 methylation regulates cell plasticity and regeneration in the intestinal epithelium [cutandtag_enzyme_profiling] 12 samples shares intestinal, epithelium
- GSE244812 Multi-omics profiling of retinal pigment epithelium reveals enhancer-driven activation of RANK-NFATc1 signaling in traumatic proliferative vitreoretinopathy. 54 samples shares epithelium
- GSE297315 Crotonate-activated histone H3K14 crotonylation enhances intestinal regeneration after injury 41 samples shares intestinal
- GSE283662 Multiscale integration of tissue and chromatin context converts cell heterogeneity into stable intestinal patterning 22 samples shares intestinal
- GSE318069 eIF4G2-mediated Translation Initiation of Histone Modifiers is Essential for Intestinal Stem Cell Maintenance and Differentiation 145 samples shares intestinal
- GSE331524 Transcriptomic analysis of hippocampus and prefrontal cortex in a mouse model of chronic radiation-induced gastrointestinal injury 12 samples shares intestinal
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.