Biological networks describe relationships between biomolecules. We study two types of biological networks and the interactions between them. First, we characterize physical and functional gene regulatory networks that are primary controllers of gene transcription during development and growth, to maintain homeostasis and to respond to environmental cues and insults. We will expand our studies on physical interactions between gene promoters and transcription factors in C. elegans to focus on true functional, tissue-specific regulatory networks in vivo. This will involve the examination of non-transcription factor regulators that affect transcription indirectly. Second, we study metabolic networks that convert nutrients into biomass and energy. We will perform experiments to gain insight into how metabolic networks are wired in different tissues and under different nutritional conditions. In addition, we will continue to develop our WormFlux website to enable data integration and flux balance analysis with selected parameters such as biomass composition and different objective functions. Finally, and importantly, we study how gene regulatory networks affect metabolic networks and vice versa. We will test how intestinal transcription is affected by perturbations in metabolic genes. In addition, we will generate gene expression data under different conditions to examine how gene expression changes influence metabolism. Our data will provide broad phenomenological and deep mechanistic insights, as well as a set of resources for the larger community.

Public Health Relevance

Gene regulation and metabolism are important driving forces for nearly every biological process. Indeed, many diseases are caused by and/or associated with altered gene regulation or metabolism. We will gain both broad and deep insights into how gene regulatory and metabolic networks are wired and how they interact. These insights will help to further our understanding of different diseases, including congenital disorders, inborn errors of metabolism and cancer.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Unknown (R35)
Project #
5R35GM122502-03
Application #
9689478
Study Section
Special Emphasis Panel (ZGM1)
Program Officer
Sledjeski, Darren D
Project Start
2017-08-01
Project End
2022-04-30
Budget Start
2019-05-01
Budget End
2020-04-30
Support Year
3
Fiscal Year
2019
Total Cost
Indirect Cost
Name
University of Massachusetts Medical School Worcester
Department
Genetics
Type
Schools of Medicine
DUNS #
603847393
City
Worcester
State
MA
Country
United States
Zip Code
01655