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- Title
Genome-wide prediction of DNase I hypersensitivity using gene expression.
- Authors
Weiqiang Zhou; Sherwood, Ben; Zhicheng Ji; Yingchao Xue; Fang Du; Jiawei Bai; Mingyao Ying; Hongkai Ji
- Abstract
We evaluate the feasibility of using a biological sample’s transcriptome to predict its genome-wide regulatory element activities measured by DNase I hypersensitivity (DH). We develop BIRD, Big Data Regression for predicting DH, to handle this high-dimensional problem. Applying BIRD to the Encyclopedia of DNA Elements (ENCODE) data, we found that to a large extent gene expression predicts DH, and information useful for prediction is contained in the whole transcriptome rather than limited to a regulatory element’s neighboring genes. We show applications of BIRD-predicted DH in predicting transcription factor-binding sites (TFBSs), turning publicly available gene expression samples in Gene Expression Omnibus (GEO) into a regulome database, predicting differential regulatory element activities, and facilitating regulome data analyses by serving as pseudo-replicates. Besides improving our understanding of the regulome–transcriptome relationship, this study suggests that transcriptome-based prediction can provide a useful new approach for regulome mapping.
- Subjects
GENE expression; CIS-regulatory elements (Genetics); ALLERGIES; BIG data; DATA analysis
- Publication
Nature Communications, 2017, Vol 8, Issue 1, p1
- ISSN
2041-1723
- Publication type
Article
- DOI
10.1038/s41467-017-01188-x