Identification of active transcriptional regulatory elements from GRO-seq data

Danko, C. G., Hyland, S. L., Core, L. J., Martins, A. L., Waters, C. T., Lee, H. W., Cheung, V. G., Kraus, W. L., Lis, J. T., Siepel, A. (2015) Identification of active transcriptional regulatory elements from GRO-seq data. Nat Methods, 12 (5). pp. 433-8. ISSN 1548-7105 (Electronic)1548-7091 (Linking)

URL: http://www.ncbi.nlm.nih.gov/pubmed/25799441
DOI: 10.1038/nmeth.3329

Abstract

Modifications to the global run-on and sequencing (GRO-seq) protocol that enrich for 5'-capped RNAs can be used to reveal active transcriptional regulatory elements (TREs) with high accuracy. Here, we introduce discriminative regulatory-element detection from GRO-seq (dREG), a sensitive machine learning method that uses support vector regression to identify active TREs from GRO-seq data without requiring cap-based enrichment (https://github.com/Danko-Lab/dREG/). This approach allows TREs to be assayed together with gene expression levels and other transcriptional features in a single experiment. Predicted TREs are more enriched for several marks of transcriptional activation-including expression quantitative trait loci, disease-associated polymorphisms, acetylated histone 3 lysine 27 (H3K27ac) and transcription factor binding-than those identified by alternative functional assays. Using dREG, we surveyed TREs in eight human cell types and provide new insights into global patterns of TRE function.

Item Type: Paper
Subjects: bioinformatics
bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification > transcription
bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification > genes, structure and function > gene expression
CSHL Authors:
Communities: CSHL labs > Siepel lab
CSHL Cancer Center Program > Cancer Genetics
Depositing User: Matt Covey
Date Deposited: 19 May 2015 16:37
Last Modified: 13 Oct 2015 20:29
Related URLs:
URI: http://repository.cshl.edu/id/eprint/31506

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