The goal of the Systems Biology Facility Core is to bring together the wide array of advanced technologies available to CEHS researchers and provide the resources to assist investigators in the design and implementation of new studies to take maximal advantage of these powerful tools. The previous Biomarkers Facility Core has facilitated access to a wide array of the modern 'omics'technologies. The University has continued to support these efforts and has committed extensive resources to insuring that state-of-the-art instrumentation is available in areas such as genomics, proteomics and metabolomics. These high-throughput methods have been extensively used by CEHS investigators to generate and test new hypotheses in the areas of environmental exposure and toxicology. In order to provide the most efficient access to the expanded capabilities at UNC and integrate new resources in bioinformatics, the Biomarkers Facility Core is being upgraded to the Systems Biology Facility Core (SBFC) which will be closely integrated with the Biostatistics and Bioinformatics Facility Core and the Integrated Health Sciences Facility Core. The SBFC is comprised of the six existing core facilities listed in Table 1. Support from CEHS gives our investigators priority access to these capabilities for their research in the form of reduced rates for services and support for pilot projects. Table 1. Core Facilities within the Systems Biology Facility Core. Sub-Core Facility Genomics Core DNA Damage Biomarkers Mass Spectrometry Proteomics Core Metabolomics Anatomic Pathology Core A systems biology investigation can generate a staggering amount of data. To address the need to analyze and integrate these data, the SBFC will work with the BBFC to develop the Computational Biology Resource (CBR). This will be comprised of individuals working with the BBFC who will have direct expertise in the high level analysis of multiple omics datasets. The individual sub-core facilities will do the initial processing of the raw data, typically using the software provided with the specific instrumentation. These may generate data such as lists of perturbed genes, proteins or metabolites, but transforming these datasets into testable biological hypotheses requires a tremendous amount of manual intervention. By using the computational modeling tools of systems biology, a more automated, objective means of generating high level biological knowledge is enabled. Computational biology tools work with massive databases of genetic and protein interactions along with metabolic pathways to uncover new relationships between genes and their downstream products. The CBR will provide advanced biostatistics analyses to identify the most critical alterations in the data, but will also integrate the data to generate biological pathways and networks. By applying the tools of the individual sub-core facilities and utilizing the Computational Biology Resource, CEHS investigators will be able to develop a systems level understanding of problems related to environmental exposures and toxicology leading to new hypotheses on how these risk factors can be mitigated to improve human health. A long-term goal of the CBR is to be able to apply similar approaches to the data generated in human studies conducted in the Interdisciplinary Health Sciences Facility Core. New investigators are easily overwhelmed by the rapidly advancing technologies in the systems biology world. To facilitate the translation of important biological questions into feasible systems biology research projects, the Systems Biology Research Network (SBRN) is being developed. The SBRN will provide a single point of contact to direct new investigators on how to initiate new projects and guide in the progression of existing projects toward the best resources. The director of the SBFC will serve as the head of the SBRN and will work closely with the Research Navigator to optimize the applications of systems biology. A biweekly seminar/journal club will be developed focusing on various techniques and applications to provide the non-expert with a forum to gain a better understanding of systems biology.

National Institute of Health (NIH)
National Institute of Environmental Health Sciences (NIEHS)
Center Core Grants (P30)
Project #
Application #
Study Section
Environmental Health Sciences Review Committee (EHS)
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
University of North Carolina Chapel Hill
Chapel Hill
United States
Zip Code
Marks, Daniel L; Blackmon, Richard L; Oldenburg, Amy L (2018) Diffusion tensor optical coherence tomography. Phys Med Biol 63:025007
Sarnowski, ChloƩ; Kavousi, Maryam; Isaacs, Steve et al. (2018) Genetic variants associated with earlier age at menopause increase the risk of cardiovascular events in women. Menopause 25:451-457
Kelley, Dannielle E; Boynton, Marcella H; Noar, Seth M et al. (2018) Effective Message Elements for Disclosures About Chemicals in Cigarette Smoke. Nicotine Tob Res 20:1047-1054
Doherty, Brett T; Hoffman, Kate; Keil, Alexander P et al. (2018) Prenatal exposure to organophosphate esters and cognitive development in young children in the Pregnancy, Infection, and Nutrition Study. Environ Res 169:33-40
Isom, Daniel G; Page, Stephani C; Collins, Leonard B et al. (2018) Coordinated regulation of intracellular pH by two glucose-sensing pathways in yeast. J Biol Chem 293:2318-2329
Wang, Ting; Wang, Xiaofei; Zhou, Haibo et al. (2018) Auxiliary variable-enriched biomarker-stratified design. Stat Med 37:4610-4635
Pan, Yinghao; Cai, Jianwen; Longnecker, Matthew P et al. (2018) Secondary outcome analysis for data from an outcome-dependent sampling design. Stat Med 37:2321-2337
Taylor, Kyla W; Troester, Melissa A; Herring, Amy H et al. (2018) Associations between Personal Care Product Use Patterns and Breast Cancer Risk among White and Black Women in the Sister Study. Environ Health Perspect 126:027011
Chiong, Charlotte M; Reyes-Quintos, Ma Rina T; Yarza, Talitha Karisse L et al. (2018) The SLC26A4 c.706C>G (p.Leu236Val) Variant is a Frequent Cause of Hearing Impairment in Filipino Cochlear Implantees. Otol Neurotol 39:e726-e730
Ryan, Calen P; Hayes, M Geoffrey; Lee, Nanette R et al. (2018) Reproduction predicts shorter telomeres and epigenetic age acceleration among young adult women. Sci Rep 8:11100

Showing the most recent 10 out of 1900 publications