The central objective of this project is to elucidate the roles of epigenetics and chromatin states in RNA splicing regulation. Eukaryotic cells generate astonishing regulatory diversity and as a consequence exceedingly complex phenotypes from a finite set of genes. Alternative pre-mRNA splicing plays an essential role in creating this regulatory diversity by generating multiple RNA isoforms from a single gene. Traditionally, splicing was considered as a """"""""post-transcriptional"""""""" process, and studies of splicing regulation have largely focused on the roles of cis splicing regulatory elements and their interactions with canonical RNA-binding splicing factors. However, recent studies of eukaryotic epigenomes and transcriptomes have revealed a surprisingly complex picture of splicing regulation shaped by chromatin states and epigenetic marks. Exons are characterized by increased levels of nucleosome positioning, DNA methylation, and certain histone modifications. Many introns are spliced co-transcriptionally when the nascent RNAs are tethered to the chromatin, and changes in the transcription elongation rate or epigenetic marks can influence exon splicing patterns. Despite these exciting findings, many questions about epigenetic regulation of splicing remain unresolved. We propose to systematically investigate chromatin and epigenetic regulation of RNA splicing, by taking advantage of the broad and deep epigenome and transcriptome data generated by the Epigenome Roadmap project. By correlating transcriptome profiles to epigenome profiles across diverse cell types, we aim to address a series of important questions regarding epigenetic regulation of co-transcriptional and post-transcriptional RNA splicing. In three aims, we will investigate epigenome-splicing correlation in diverse tissues and cell types (Aim 1), identify combinatorial chromatin states and long-range interactions associated with splicing (Aim 2), and elucidate how epigenetic determinants affect chromatin-associated splicing (Aim 3). The proposed studies will significantly advance our understanding of splicing regulation, and how epigenetic signals influence alternative splicing in normal and diseased cells. In addition, through the proposed work we will develop novel computational methods for linking epigenome signatures to RNA splicing patterns. We anticipate that these tools will be of broad interest and utility to researchers studying epigenome and transcriptome regulation in diverse biological systems.

Public Health Relevance

Many human diseases are caused by aberrant pre-mRNA splicing. This project will use extensive epigenome and transcriptome profiles from the Epigenome Roadmap project to elucidate chromatin and epigenetic regulation of RNA splicing. These studies will provide significant insight into how splicing is regulated, and how epigenetic and environmental signals disrupt splicing in human diseases.

Agency
National Institute of Health (NIH)
Institute
National Institute of Environmental Health Sciences (NIEHS)
Type
Research Project (R01)
Project #
1R01ES024995-01
Application #
8815662
Study Section
Special Emphasis Panel (ZRG1-IMST-R (51))
Program Officer
Chadwick, Lisa
Project Start
2014-09-05
Project End
2016-08-31
Budget Start
2014-09-05
Budget End
2015-08-31
Support Year
1
Fiscal Year
2014
Total Cost
$308,000
Indirect Cost
$108,000
Name
University of California Los Angeles
Department
Microbiology/Immun/Virology
Type
Schools of Medicine
DUNS #
092530369
City
Los Angeles
State
CA
Country
United States
Zip Code
90095
Fiziev, Petko; Ernst, Jason (2018) ChromTime: modeling spatio-temporal dynamics of chromatin marks. Genome Biol 19:109
Chronis, Constantinos; Fiziev, Petko; Papp, Bernadett et al. (2017) Cooperative Binding of Transcription Factors Orchestrates Reprogramming. Cell 168:442-459.e20
Ernst, Jason; Kellis, Manolis (2017) Chromatin-state discovery and genome annotation with ChromHMM. Nat Protoc 12:2478-2492
Fiziev, Petko; Akdemir, Kadir C; Miller, John P et al. (2017) Systematic Epigenomic Analysis Reveals Chromatin States Associated with Melanoma Progression. Cell Rep 19:875-889
Duong, Dat; Zou, Jennifer; Hormozdiari, Farhad et al. (2016) Using genomic annotations increases statistical power to detect eGenes. Bioinformatics 32:i156-i163
Won, Hyejung; de la Torre-Ubieta, Luis; Stein, Jason L et al. (2016) Chromosome conformation elucidates regulatory relationships in developing human brain. Nature 538:523-527
Davis-Turak, Jeremy C; Allison, Karmel; Shokhirev, Maxim N et al. (2015) Considering the kinetics of mRNA synthesis in the analysis of the genome and epigenome reveals determinants of co-transcriptional splicing. Nucleic Acids Res 43:699-707
Rai, Kunal; Akdemir, Kadir C; Kwong, Lawrence N et al. (2015) Dual Roles of RNF2 in Melanoma Progression. Cancer Discov 5:1314-27
Shen, Shihao; Park, Juw Won; Lu, Zhi-xiang et al. (2014) rMATS: robust and flexible detection of differential alternative splicing from replicate RNA-Seq data. Proc Natl Acad Sci U S A 111:E5593-601