Bidirectional histone monoaminylation dynamics regulate neural rhythmicity
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 123 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
- 123 samples: 38 conditions, mostly in triplicateGroups 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
- Bidirectional histone monoaminylation dynamics regulate neural rhythmicityNature · 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 GSE270432_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 PRJNA1126631 and SRA study SRP515230. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 114 samples.
How we read this: 38 replicated groups read from 123 sample titles; they account for 114 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.
- GSM8342833 CUT&RUN_ZT0_H3K4me2_1 CUT&RUN_ZT0_H3K4me2
- GSM8342834 CUT&RUN_ZT0_H3K4me2_2 CUT&RUN_ZT0_H3K4me2
- GSM8342835 CUT&RUN_ZT0_H3K4me2_3 CUT&RUN_ZT0_H3K4me2
- GSM8342836 CUT&RUN_ZT4_H3K4me2_1 CUT&RUN_ZT4_H3K4me2
- GSM8342837 CUT&RUN_ZT4_H3K4me2_2 CUT&RUN_ZT4_H3K4me2
- GSM8342838 CUT&RUN_ZT4_H3K4me2_3 CUT&RUN_ZT4_H3K4me2
- GSM8342839 CUT&RUN_ZT8_H3K4me2_1 CUT&RUN_ZT8_H3K4me2
- GSM8342840 CUT&RUN_ZT8_H3K4me2_2 CUT&RUN_ZT8_H3K4me2
- GSM8342841 CUT&RUN_ZT8_H3K4me2_3 CUT&RUN_ZT8_H3K4me2
- GSM8342842 CUT&RUN_ZT12_H3K4me2_1 CUT&RUN_ZT12_H3K4me2
- GSM8342843 CUT&RUN_ZT12_H3K4me2_2 CUT&RUN_ZT12_H3K4me2
- GSM8342844 CUT&RUN_ZT12_H3K4me2_3 CUT&RUN_ZT12_H3K4me2
- GSM8342845 CUT&RUN_ZT16_H3K4me2_1 CUT&RUN_ZT16_H3K4me2
- GSM8342846 CUT&RUN_ZT16_H3K4me2_2 CUT&RUN_ZT16_H3K4me2
- GSM8342847 CUT&RUN_ZT16_H3K4me2_3 CUT&RUN_ZT16_H3K4me2
- GSM8342848 CUT&RUN_ZT20_H3K4me2_1 CUT&RUN_ZT20_H3K4me2
- GSM8342849 CUT&RUN_ZT20_H3K4me2_2 CUT&RUN_ZT20_H3K4me2
- GSM8342850 CUT&RUN_ZT20_H3K4me2_3 CUT&RUN_ZT20_H3K4me2
- GSM8342851 CUT&RUN_ZT0_H3K4me3_1 CUT&RUN_ZT0_H3K4me3
- GSM8342852 CUT&RUN_ZT0_H3K4me3_2 CUT&RUN_ZT0_H3K4me3
- GSM8342853 CUT&RUN_ZT0_H3K4me3_3 CUT&RUN_ZT0_H3K4me3
- GSM8342854 CUT&RUN_ZT4_H3K4me3_1 CUT&RUN_ZT4_H3K4me3
- GSM8342855 CUT&RUN_ZT4_H3K4me3_2 CUT&RUN_ZT4_H3K4me3
- GSM8342856 CUT&RUN_ZT4_H3K4me3_3 CUT&RUN_ZT4_H3K4me3
- GSM8342857 CUT&RUN_ZT8_H3K4me3_1 CUT&RUN_ZT8_H3K4me3
- GSM8342858 CUT&RUN_ZT8_H3K4me3_2 CUT&RUN_ZT8_H3K4me3
- GSM8342859 CUT&RUN_ZT8_H3K4me3_3 CUT&RUN_ZT8_H3K4me3
- GSM8342860 CUT&RUN_ZT12_H3K4me3_1 CUT&RUN_ZT12_H3K4me3
- GSM8342861 CUT&RUN_ZT12_H3K4me3_2 CUT&RUN_ZT12_H3K4me3
- GSM8342862 CUT&RUN_ZT12_H3K4me3_3 CUT&RUN_ZT12_H3K4me3
- GSM8342863 CUT&RUN_ZT16_H3K4me3_1 CUT&RUN_ZT16_H3K4me3
- GSM8342864 CUT&RUN_ZT16_H3K4me3_2 CUT&RUN_ZT16_H3K4me3
- GSM8342865 CUT&RUN_ZT16_H3K4me3_3 CUT&RUN_ZT16_H3K4me3
- GSM8342866 CUT&RUN_ZT20_H3K4me3_1 CUT&RUN_ZT20_H3K4me3
- GSM8342867 CUT&RUN_ZT20_H3K4me3_2 CUT&RUN_ZT20_H3K4me3
- GSM8342868 CUT&RUN_ZT20_H3K4me3_3 CUT&RUN_ZT20_H3K4me3
- GSM8342869 CUT&RUN_ZT0_H3K4me3Q5his_1 CUT&RUN_ZT0_H3K4me3Q5his
- GSM8342870 CUT&RUN_ZT0_H3K4me3Q5his_2 CUT&RUN_ZT0_H3K4me3Q5his
- GSM8342871 CUT&RUN_ZT0_H3K4me3Q5his_3 CUT&RUN_ZT0_H3K4me3Q5his
- GSM8342872 CUT&RUN_ZT4_H3K4me3Q5his_1 CUT&RUN_ZT4_H3K4me3Q5his
+ 83 more — browse all 123 samples with per-sample file links →
- GSE232637 Single-cell multi-omic detection of DNA methylation and histone modifications reconstructs the dynamics of epigenetic maintenance 42 samples shares dynamics, histone
- GSE272629 Passive shaping of intra- and intercellular m6A dynamics via mRNA metabolism 128 samples shares dynamics
- GSE308359 RPL41 stabilizes ribosome dynamics and supports long-protein homeostasis in mammals 74 samples shares dynamics
- GSE51239 DNA methylation dynamics of the human pre-implantation embryo 48 samples shares dynamics
- GSE273813 The proteomic landscape and temporal dynamics of human and mouse gastruloid development 18 samples shares dynamics
- GSE306837 Unraveling Enteroendocrine Cell lineage dynamics and associated gene regulatory networks during intestinal development 13 samples shares dynamics
- GSE253161 Scalable ultra-high-throughput single-cell chromatin and RNA sequencing reveals gene regulatory dynamics linking macrophage polarization to autoimmune disease [NIH-3T3_K562_RNA_without_blocking] 1 samples shares dynamics
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.