Award Abstract # 1751317
CAREER: Computational and statistical methods for allele-specific chromatin structure analysis

NSF Org: DBI
Division of Biological Infrastructure
Recipient: REGENTS OF THE UNIVERSITY OF CALIFORNIA AT RIVERSIDE
Initial Amendment Date: March 12, 2018
Latest Amendment Date: April 29, 2022
Award Number: 1751317
Award Instrument: Continuing Grant
Program Manager: David Liberles
dliberle@nsf.gov
 (703)292-0000
DBI
 Division of Biological Infrastructure
BIO
 Directorate for Biological Sciences
Start Date: April 1, 2018
End Date: March 31, 2024 (Estimated)
Total Intended Award Amount: $688,224.00
Total Awarded Amount to Date: $688,224.00
Funds Obligated to Date: FY 2018 = $139,514.00
FY 2019 = $266,049.00

FY 2021 = $139,357.00

FY 2022 = $143,304.00
History of Investigator:
  • Wenxiu Ma (Principal Investigator)
    wenxiu.ma@ucr.edu
Recipient Sponsored Research Office: University of California-Riverside
200 UNIVERSTY OFC BUILDING
RIVERSIDE
CA  US  92521-0001
(951)827-5535
Sponsor Congressional District: 39
Primary Place of Performance: University of California-Riverside
900 University Avenue
Riverside
CA  US  92521-0001
Primary Place of Performance
Congressional District:
39
Unique Entity Identifier (UEI): MR5QC5FCAVH5
Parent UEI:
NSF Program(s): Infrastructure Innovation for,
ADVANCES IN BIO INFORMATICS
Primary Program Source: 01001819DB NSF RESEARCH & RELATED ACTIVIT
01001920DB NSF RESEARCH & RELATED ACTIVIT

01002021DB NSF RESEARCH & RELATED ACTIVIT

01002122DB NSF RESEARCH & RELATED ACTIVIT

01002223DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 1045
Program Element Code(s): 084y00, 116500
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.074

ABSTRACT

Three-dimensional (3D) genome organization plays an important role in gene regulation. One level of this organization consists of DNA wrapped around histone proteins, and is called the chromatin. High-throughput chromatin conformation capture methods (one example is called the Hi-C assay) have been developed, and yield an immense amount of information about 3D genome organization. However, most current analysis tools cannot distinguish the Hi-C, or equivalent, information that comes from the paired (homologous) maternal and paternal chromosomes in diploid organisms (like humans and other mammals). This means it is not possible to tell if there are different effects arising from the maternal and paternal copies of genes (the alleles). This project will address this problem and allow the development of fine-scale, allele-specific chromatin structures and therefore shed light on the role(s) of chromatin interactions in allelic gene regulation as well as larger principles of genome organization. This research will result in novel computational and statistical methods that combine the analysis of allele-specific chromatin structure with gene expression regulation; the products will include open-source software tools for 3D genome modeling, comparison, visualization, and exploration. These software tools will be made publicly accessible to scientists worldwide. The integrated research and educational activities include curriculum development for both undergraduate and graduate courses in subjects including data science, and statistical and computational genomics. Activities will allow undergraduate students to participate in the research project, as well as training graduate student researchers to acquire interdisciplinary expertise. The project will reach out particularly to middle school students with the goal of engaging young women and underrepresented minority groups in STEM disciplines.

The goal of this project is to (i) establish a new computational and statistical framework for modeling the 3D chromatin structures in an allele-specific manner; (ii) identify structural differences between homologous chromosome pairs; (iii) investigate the impact of chromatin organization on allelic gene regulation; and (iv) understand the interplay between genome architecture and gene function. The project will integrate fine-scale allele-specific chromatin structures with the currently overwhelming amount of one-dimensional functional genomics data to discover new allele-specific regulatory elements and features. The project will elucidate gene regulation principles at an unprecedented resolution, and enhance our understanding of the interplay between genome architecture and gene expression. These findings will have fundamental significance in molecular cell biology, personal genomics, and medicine. Updates and additional information about this project will be made available at http://faculty.ucr.edu/~wenxiu/nsf-1751317.html.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Liu, Huiling and Ma, Wenxiu "DiffGR: Detecting Differentially Interacting Genomic Regions from Hi-C Contact Maps" Genomics, Proteomics & Bioinformatics , v.22 , 2024 https://doi.org/10.1093/gpbjnl/qzae028 Citation Details
Liu, Huiling and Ma, Wenxiu and Marschall, ed., Tobias "scHiCDiff: detecting differential chromatin interactions in single-cell Hi-C data" Bioinformatics , v.39 , 2023 https://doi.org/10.1093/bioinformatics/btad625 Citation Details
Ma, Wenxiu and Fang, He and Pease, Nicolas and Filippova, Galina N. and Disteche, Christine M. and Berletch, Joel B. "Sex-biased and parental allele-specific gene regulation by KDM6A" Biology of Sex Differences , v.13 , 2022 https://doi.org/10.1186/s13293-022-00452-0 Citation Details
Ye, Tiantian and Hu, Yangyang and Pun, Sydney and Ma, Wenxiu and Alkan, ed., Can "HiCube: interactive visualization of multiscale and multimodal Hi-C and 3D genome data" Bioinformatics , v.39 , 2023 https://doi.org/10.1093/bioinformatics/btad154 Citation Details
Ye, Tiantian and Ma, Wenxiu "ASHIC: hierarchical Bayesian modeling of diploid chromatin contacts and structures" Nucleic Acids Research , v.48 , 2020 https://doi.org/10.1093/nar/gkaa872 Citation Details

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