This track displays the ENCODE Registry of candidate cis-Regulatory Elements (cCREs) in the mouse genome from ENCODE 4. A total of 926,843 elements were identified and classified by the ENCODE Data Analysis Center according to biochemical signatures. Most cCREs are anchored on DNase hypersensitive sites further annotated with histone modifications (H3K4me3 and H3K27ac) or CTCF binding measured by ChIP-seq experiments. In this latest version of the Registry (V4), the representative DNase hypersensitive sites (rDHSs) were supplemented with 7,658 representative transcription factor ChIP-seq peaks (TF rPeaks), which represent binding sites for at least five TFs. The Registry of cCREs is one of the core components of the integrative level of the ENCODE Encyclopedia of DNA Elements.
Additional exploration of the cCREs and underlying raw ENCODE signal data can be done with the Core Collection track. The data is also available on the SCREEN (Search Candidate cis-Regulatory Elements) web tool, designed specifically for the Registry, accessible by item mouseovers and linkouts from the track details page.
Each cCRE is color-coded by its classification type, which reflects its putative functional assignment based on biochemical signatures and genomic context:
Mousing over an item displays the element ID with a linkout to SCREEN, the cCRE class, and the max-Z scores for DNase, H3K4me3, H3K27ac, and CTCF. A max-Z score above 1.64 is considered "high" signal, while a score of 1.64 or below is considered "low" signal for classification purposes (Moore et al., 2026). A score of -10.00 indicates the assay was not available in any surveyed biosample. A track filter is also available to selectively show items based on their cCRE class type.
Candidate cis-regulatory elements (cCREs) were first anchored on nucleosome-sized DNase hypersensitive sites (rDHSs) identified from DNase-seq data. These rDHSs were then annotated using ChIP-seq data for histone modifications (H3K4me3 and H3K27ac, marking promoters and enhancers, respectively) and CTCF, marking insulators. To supplement rDHS-anchored cCRE definitions, transcription factor ChIP-seq peaks were incorporated, enabling identification of cCREs even in regions of low chromatin accessibility. Although not used for anchoring, ATAC-seq data were used to assess chromatin accessibility in biosamples lacking DNase-seq. Because ATAC-seq was not standardized across all biosamples, the ATAC max-Z score is not included in the registry bigBed fields or mouseOver. Only the four core assays (DNase, H3K4me3, H3K27ac, and CTCF) are reported as max-Z scores. ATAC-seq signal tracks are available in the ENCODE4 Regulation track.
The following diagram illustrates the biochemical signal patterns used to classify each cCRE type:
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The ENCODE accession numbers of the constituent datasets at the ENCODE Portal are available from the cCRE details page.
The data in this track can be interactively explored with the Table Browser or the Data Integrator. The data can be accessed from scripts through our API, the track name is "cCREregistry".
For automated download and analysis, this annotation is stored in a bigBed file
that can be downloaded from our download server.
The file for this track is called encodeCcreRegistry.bb. Individual regions or the whole genome
annotation can be obtained using our tool bigBedToBed which can be compiled from the source
code or downloaded as a precompiled binary for your system. Instructions for downloading
source code and binaries can be found here.
The tool can also be used to obtain only features within a given range, e.g.
bigBedToBed http://hgdownload.soe.ucsc.edu/gbdb/mm10/encode4/ccre/encodeCcreRegistry.bb -chrom=chr1 -start=0 -end=100000000 stdout
Data were generated by the ENCODE Consortium. The data were further processed for visualization through a collaborative effort between the Weng lab and the Moore lab at UMass Chan Medical School (funded by NIH grant HG012343). Integration and visualization were developed by Drs. Mingshi Gao, Jill Moore, and Zhiping Weng at UMass Chan Medical School, who were part of the ENCODE Data Analysis Center. We thank the ENCODE production labs for generating the data.
ENCODE Project Consortium, Moore JE, Purcaro MJ, Pratt HE, Epstein CB, Shoresh N, Adrian J, Kawli T, Davis CA, Dobin A et al. Expanded encyclopaedias of DNA elements in the human and mouse genomes. Nature. 2020 Jul;583(7818):699-710. PMID: 32728249; PMC: PMC7410828
Moore JE, Pratt HE, Fan K, Phalke N, Fisher J, Elhajjajy SI, Andrews G, Gao M, Shedd N, Fu Y et al. An Expanded Registry of Candidate cis-Regulatory Elements for Studying Transcriptional Regulation. Nature. 2026 January 7. PMID: 39763870; PMC: PMC11703161