Rational cell fate engineering through chromatin dynamics
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 95 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
- 95 samples: 19 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
- Engineering mouse cell fate controller by rational designNature communications · 2024
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 GSE243517_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 PRJNA1018834 and SRA study SRP461617. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 51 samples.
How we read this: 19 replicated groups read from 95 sample titles; they account for 51 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.
- GSM7789740 MEF
- GSM7789741 ESC_rep1 ESC
- GSM7789742 ESC_rep2 ESC
- GSM7789743 ESC_rep3 ESC
- GSM7789744 Nanog+Oct4, Day0 Nanog+Oct4, Day
- GSM7789745 Nanog+Oct4, Day1 Nanog+Oct4, Day
- GSM7789746 Nanog+Oct4, Day3 Nanog+Oct4, Day
- GSM7789747 Nanog+Oct4, Day5 Nanog+Oct4, Day
- GSM7789748 Nanog+Oct4, Day7 Nanog+Oct4, Day
- GSM7789749 Nanog+Oct4, Day8 Nanog+Oct4, Day
- GSM7789750 Nanog+Oct4, Day10 Nanog+Oct4, Day
- GSM7789751 Nanog+Oct4, Day12 Nanog+Oct4, Day
- GSM7789752 NanogN70+Oct4, Day0 NanogN70+Oct4, Day
- GSM7789753 NanogN70+Oct4, Day1 NanogN70+Oct4, Day
- GSM7789754 NanogN70+Oct4, Day3 NanogN70+Oct4, Day
- GSM7789755 NanogN70+Oct4, Day5 NanogN70+Oct4, Day
- GSM7789756 NanogN70+Oct4, Day7 NanogN70+Oct4, Day
- GSM7789757 NanogN70+Oct4, Day8 NanogN70+Oct4, Day
- GSM7789758 NanogN70+Oct4, Day10 NanogN70+Oct4, Day
- GSM7789759 NanogN70+Oct4, Day12 NanogN70+Oct4, Day
- GSM7789762 NanogN70+Oct4, H3K4me1, Day5
- GSM7789763 NanogN70+Oct4, H3K27ac, Day5
- GSM7789764 NanogN70+Oct4, Smarca4 (Brg1), Day5
- GSM7789765 NanogN70+Oct4, Nanog-Flag, Day5
- GSM7789766 Nanog+Oct4, Nanog-Flag, Day5
- GSM7789767 Nanog+Oct4, H3K4me1, Day5
- GSM7789768 Nanog+Oct4, Smarca4 (Brg1), Day5
- GSM7789769 Nanog+Oct4, H3K27ac, Day5
- GSM7789776 NanogN70+Oct4, Day0, Rep1 NanogN70+Oct4, Day0,
- GSM7789777 NanogN70+Oct4, Day1, Rep1 NanogN70+Oct4, Day1,
- GSM7789778 NanogN70+Oct4, Day3, Rep1 NanogN70+Oct4, Day3,
- GSM7789779 NanogN70+Oct4, Day5, Rep1 NanogN70+Oct4, Day5,
- GSM7789780 NanogN70+Oct4, Day7, Rep1 NanogN70+Oct4, Day7,
- GSM7789781 NanogN70+Oct4, Day8, Rep1
- GSM7789782 NanogN70+Oct4, Day10, Rep1 NanogN70+Oct4, Day10,
- GSM7789783 NanogN70+Oct4, Day12, Rep1 NanogN70+Oct4, Day12,
- GSM7789784 Nanog+Oct4, Day0, Rep1 Nanog+Oct4, Day0,
- GSM7789785 Nanog+Oct4, Day1, Rep1 Nanog+Oct4, Day1,
- GSM7789786 Nanog+Oct4, Day3, Rep1 Nanog+Oct4, Day3,
- GSM7789787 Nanog+Oct4, Day5, Rep1 Nanog+Oct4, Day5,
+ 55 more — browse all 95 samples with per-sample file links →
- GSE310322 Mapping self-associating chromatin hubs identifies Id proteins as key determinants of exhausted T cell fate 37 samples shares chromatin, fate
- GSE264193 H3K27 dimethylation dynamics reveal stepwise establishment of facultative heterochromatin in early mouse embryos [ChIP-seq] 57 samples shares chromatin, dynamics
- GSE263530 Chromatin site specific accessibility: a microtopography regulated door into the stem cell fate [Hi-C] 3 samples shares chromatin, fate
- GSE306869 The RNA binding protein LIN28A mediates chromatin dynamics during neuronal differentiation 24 samples shares chromatin, dynamics
- GSE331488 A global view of cell-type-specific temporal dynamics in mammalian aging [I] 771 samples shares dynamics
- GSE331489 A global view of cell-type-specific temporal dynamics in mammalian aging [II] 725 samples shares dynamics
- GSE299114 Endothelial Cells retain inflammatory memory through chromatin remodeling [RNA-Seq 2] 53 samples shares chromatin
- GSE342312 T-bet and Runx3 orchestrate effector CD8 T cell differentiation and lineage fidelity through cooperative and distinct chromatin regulatory mechanisms [Multi-omics] 40 samples shares chromatin
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.