High-throughput interrogation of long-range enhancers
National Human Genome Research InstituteDescription
/Abstract A majority of heritable disease-causing variation resides in the non-coding portions of the genome. The leading hypothesis is that these variants perturb the function of cis-regulatory elements, such as enhancers. A remarkable property of enhancers is that they often reside at long distances from their targets. Thus, any framework for interpreting genetic variation must account for the long-range functions of enhancers. There have been many genome-wide studies of enhancers, yet we still lack an understanding of the sequence features that allow enhancers to function over long distances. This lack of understanding is due to the absence of systematic training data that measures the activities of enhancers as they are moved further and further from their target promoters. We propose to address this gap by systematically measuring the activities of enhancers at multiple fixed distances from target promoters. To collect this data, we will introduce a high-throughput, genome-integrated reporter gene system that measures the activities of enhancers at long distances from their target promoters. We propose to quantify the effects of variables that contribute to long-range enhancer function. These variables include the intrinsic strength of an enhancer, the number and arrangement of transcription factor binding sites in an enhancer, and the chromatin environment in which an enhancer resides. A unique strength of our system is that we directly compare the same enhancer sequences at long- and short-ranges, which allows us to identify features required specifically at long distances. Project Number: 1R01HG014139-01 | Fiscal Year: 2025 | NIH Institute/Center: National Human Genome Research Institute (NHGRI) | Principal Investigator: Barak Cohen | Institution: WASHINGTON UNIVERSITY, SAINT LOUIS, MO | Award Amount: $2,796,648 | Activity Code: R01 | Study Section: Genomics, Computational Biology and Technology Study Section[GCAT] View on NIH RePORTER: https://reporter.nih.gov/project-details/11094200
Interested in this grant?
Sign up to get match scores, save grants, and start your application with AI-powered tools.
Grant Details
$2,796,648 - $2,796,648
August 31, 2029
SAINT LOUIS, MO
External Links
View Original ListingWant to see how well this grant matches your organization?
Get Your Match Score