The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Three-dimensional Epigenome Statistical Model: Genome-wide Chromatin Looping Prediction
Open accessAbstract
This study aims to understand through statistical learning the basic biophysical mechanisms behind three-dimensional folding of epigenomes. The 3DEpiLoop algorithm predicts three-dimensional chromatin looping interactions within topologically associating domains (TADs) from one-dimensional epigenomics and transcription factor profiles using the statistical learning. The predictions obtained by 3DEpiLoop are highly consistent with the reported experimental interactions. The complex signatures of epigenomic and transcription factors within the physically interacting chromatin regions (anchors) are similar across all genomic scales: genomic domains, chromosomal territories, cell types, and different individuals. We report the most important epigenetic and transcription factor features used for interaction identification either shared, or unique for each of sixteen (16) cell lines. The analysis shows that CTCF interaction anchors are enriched by transcription factors yet deficient in histone modifications, while the opposite is true in the case of RNAP II mediated interactions. The code is available at the repository https://bitbucket.org/4dnucleome/3depiloop.
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A high-resolution map of the three-dimensional chromatin interactome in human cells
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Enhancer-promoter interactions are encoded by complex genomic signatures on looping chromatin
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Metadata
- Authors
- Al Bkhetan, Z., & Plewczynski, D.
- Venue
- Scientific Reports
- Published
- 2018-03-26
- Volume
- 8
- Issue
- 1
- Pages
- 5217-5217
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2795091386
- Cited by
- 1,662
- References
- 7
- FWCI
- 64.04
- Type
- journal article
- Language
- en
- Open access
- gold
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