The ENCODE project has established an epigenomic resource for mammalian development, profiling a diverse panel of mouse tissues at eight developmental stages from 10.5 days post conception until birth.
This track set presents chromatin state annotations derived from ChIP-seq of histone modifications performed by the laboratory of Bing Ren as part of the ENCODE Consortium, phase 3.
The chromHMM method was used to integrate ChIP-seq data from 8 histone modifications (H3K27ac, H3K27me3, H3K4me3, H3K4me2, H3K4me1, H3K9me3, H3K9ac, H3K36me3). In total, fifteen chromatin states were used to segment the genome, and these states were then grouped and colored to highlight predicted functional elements.
The histone ChIP-seq data underlying this track are presented in the Histone Modifications track.
This track is a composite track that contains multiple subtracks. Each subtrack represents data for a different tissue and age, and displays individually on the browser.
The fifteen states of the HMM, their associated segment color, and the candidate annotations are as follows:
This track is configured by default to "pack" display mode with the state labels displayed. To display without labels, switch the track to "dense" display mode.
Each state was assigned a descriptive label based on its genomic distribution and similarity to known chromatin signatures. The resulting chromatin states fall into 4 broad functional classes: promoter, enhancer, transcriptional, and heterochromatic.
This track set represents pooled chromatin state calls, in which ChIP-seq for two biological replicates that were was pooled prior to chromatin state segmentation.
ChromHMM segmentation for individual and pooled replicates can be downloaded from the Ren Lab ENCODE3 mouse histone and ATAC-seq paper supplementary data page. The underlying ChIP-seq data are publicly available from the ENCODE portal, and can be directly accessed here.
Thanks to Iros Barozzi and colleagues in the Environmental Genomics and Systems Biology Division at the Lawrence Berkeley National Laboratory for generating the chromHmm analysis and to David Gorkin and Yanxiao Zhang at the Ren lab (UCSD/Ludwig Institute for Cancer Research) for providing these data and assisting with track development at UCSC.
Gorkin et al. An atlas of dynamic chromatin landscapes in the developing mouse fetus. Nature, In Press. (pre-print: doi: https://doi.org/10.1101/166652)
Ernst J, Kellis M. ChromHMM: automating chromatin-state discovery and characterization. Nat Methods. 2012 Feb 28;9(3):215-6. PMID: 22373907; PMC: PMC3577932
Sloan CA, Chan ET, Davidson JM, Malladi VS, Strattan JS, Hitz BC, Gabdank I, Narayanan AK, Ho M, Lee BT et al. ENCODE data at the ENCODE portal. Nucleic Acids Res. 2016 Jan 4;44(D1):D726-32. PMID: 26527727; PMC: PMC4702836