Functional assessment of human enhancer activities using whole-genome STARR-sequencing

• Published in: Genome Biology 2017-11, Vol.18 (1), p.219-219, Article 219
• Main Authors: Liu, Yuwen, Yu, Shan, Dhiman, Vineet K, Brunetti, Tonya, Eckart, Heather, White, Kevin P
• Format: Article
• Language: English
• Subjects: BASIC BIOLOGICAL SCIENCES; Binding sites; Bioinformatics; Chromatin; Deoxyribonucleic acid; DNA; Enhancers; Gene expression; Gene regulation; Genomes; Histone deacetylase; Methods; Non-coding regions; Prostate cancer; Regulatory elements; Regulatory sequences; STARR-seq; Stem cells; Transcription; Transcription factors; Trichostatin A
• ISSN: 1474-760X; 1474-7596; 1474-760X
• DOI: 10.1186/s13059-017-1345-5

Genome-wide quantification of enhancer activity in the human genome has proven to be a challenging problem. Recent efforts have led to the development of powerful tools for enhancer quantification. However, because of genome size and complexity, these tools have yet to be applied to the whole human genome.  In the current study, we use a human prostate cancer cell line, LNCaP as a model to perform whole human genome STARR-seq (WHG-STARR-seq) to reliably obtain an assessment of enhancer activity. This approach builds upon previously developed STARR-seq in the fly genome and CapSTARR-seq techniques in targeted human genomic regions. With an improved library preparation strategy, our approach greatly increases the library complexity per unit of starting material, which makes it feasible and cost-effective to explore the landscape of regulatory activity in the much larger human genome. In addition to our ability to identify active, accessible enhancers located in open chromatin regions, we can also detect sequences with the potential for enhancer activity that are located in inaccessible, closed chromatin regions. When treated with the histone deacetylase inhibitor, Trichostatin A, genes nearby this latter class of enhancers are up-regulated, demonstrating the potential for endogenous functionality of these regulatory elements. WHG-STARR-seq provides an improved approach to current pipelines for analysis of high complexity genomes to gain a better understanding of the intricacies of transcriptional regulation.