The overarching goal of the proposed study is to functionally characterize a large number of candidate functional elements in the mammalian genome. The ENCODE projects have revealed millions of putative regulatory elements across more than one hundred cell types and tissues. While these maps have significantly expanded our knowledge of non-coding sequences, there are still large gaps between having descriptive maps of functional elements and understanding the biology of these elements underlying gene regulation. These include: (a) few candidate functional elements predicted by the ENCODE experiments are functionally validated; (b) Epigenomic studies have not given/revealed information on the target genes of candidate functional elements. Therefore, it is still a challenge to interpret the biological functions of non-coding DNA sequences. To address these issues, the objective of this UM1 application is to perform large scale functional characterization of candidate functional elements in their native chromatin context. We will first identify candidate regulatory elements utilizing ENCODE data and generate reporter tagged genes of interest in cell lines utilizing a high throughput, automated platform. Second, we will interrogate candidate functional elements in their native chromatin contexts utilizing two complementary high throughput CRIPSR/Cas9 mediated genome editing approaches. We anticipate these analyses will significantly advance our knowledge of the biological functions of candidate regulatory regions and gene regulation in mammalian cells.

Public Health Relevance

A majority of traits and diseases associated genetic variations are located in the non-coding candidate regulatory regions, and this highlights their importance to human health. Therefore, elucidating the functions of candidate functional elements in the mammalian genome will help us understand the causes of abnormalities in humans. The results of this study will greatly advance our abilities to interpret the functions of non-coding sequences.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Research Project with Complex Structure Cooperative Agreement (UM1)
Project #
5UM1HG009402-03
Application #
9634965
Study Section
Special Emphasis Panel (ZHG1)
Program Officer
Feingold, Elise A
Project Start
2017-02-01
Project End
2021-01-31
Budget Start
2019-02-01
Budget End
2020-01-31
Support Year
3
Fiscal Year
2019
Total Cost
Indirect Cost
Name
University of California San Francisco
Department
Neurology
Type
Schools of Medicine
DUNS #
094878337
City
San Francisco
State
CA
Country
United States
Zip Code
94118
Li, Yun; Hu, Ming; Shen, Yin (2018) Gene regulation in the 3D genome. Hum Mol Genet 27:R228-R233
Diao, Yarui; Fang, Rongxin; Li, Bin et al. (2017) A tiling-deletion-based genetic screen for cis-regulatory element identification in mammalian cells. Nat Methods 14:629-635