We propose to establish and build the COBRE Center for the Computational Biology of Human Disease at Brown University and affiliated hospitals. The motivation for this effort lies in the joint promise that personalized genomic medicine and novel analyses of Big Data are key elements in the identification and treatment of human disease. Sequencing a genome, a transcriptome, or even 100 of them is a routine procedure available to most researchers. However, converting these raw data into meaningful information is the new challenge generated by the progress in genomics. The underlying principle of this Center is that close collaboration between empirical and computational biologists with common challenges in the analysis of large data sets can accelerate the implementation of translational medicine. The Brown University Biomedical community is an ideal environment to achieve this goal. The close collaboration among Departments and the hospitals associated with the Warren Alpert Medical School provide the context for unifying biological and quantitative approaches to human disease. We will evolve a culture where computational and biological research is distributed within each research group. We propose an innovative joint mentoring strategy where each junior faculty member is advised by both computational and biological or clinical senior faculty members. Moreover, we will build a Core of biomedical Big Data scientists who build analysis tools common to multiple junior PIs, and collaborate directly with individual research teams. The long-term goal of the Center is to establish and grow a nexus of computational biology infrastructure for the greater Brown and hospital environments that will benefit all of Rhode Island. The objective of this proposal is to establish the infrastructure of the COBRE Center to support the research activities of Junior Investigators to ensure their transition to stand-alone R01-funded scientists. There are two Specific Aims related to the establishment of the Center, and five Research Projects spanning computational and clinical studies.
Aim 1 : Build the Administrative Core that will support the COBRE Center;
Aim 2 : Build the Biomedical Big Data Core that will support the research of Junior Investigators;
Aim 3 individual research projects - Project 1: Incorporating Ethnic and Gender Disparities in Genomic Studies of Disease; Project 2: Integrative Genomics of Cancer Survival; Project 3: Tolerance of Viral/Bacterial Co-infections; Project 4: A Drug Repositioning Strategy for Healthspan Extension; Project 5: Computational Genomics of Preeclampsia.

Public Health Relevance

The COBRE Center for Computational Biology of Human Disease is intended to embrace the age of genomic medicine from an explicitly data-driven, computational perspective. By building a collaborative Center of empirical and computational scientists, we will be able to advance new discoveries, algorithms and genomic screening approaches with direct relevance to several human diseases. This is consistent with NIH's mission of supporting bioinformatics and computational biology to advance all of biomedicine.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Exploratory Grants (P20)
Project #
5P20GM109035-04
Application #
9644050
Study Section
Special Emphasis Panel (ZGM1)
Program Officer
Krasnova, Irina N
Project Start
2016-06-01
Project End
2021-02-28
Budget Start
2019-03-01
Budget End
2020-02-29
Support Year
4
Fiscal Year
2019
Total Cost
Indirect Cost
Name
Brown University
Department
Biology
Type
Schools of Medicine
DUNS #
001785542
City
Providence
State
RI
Country
United States
Zip Code
02912
Grizotte-Lake, Mayara; Vaishnava, Shipra (2018) Autophagy: Suicide Prevention Hotline for the Gut Epithelium. Cell Host Microbe 23:147-148
Atkinson, Elizabeth Grace; Audesse, Amanda Jane; Palacios, Julia Adela et al. (2018) No Evidence for Recent Selection at FOXP2 among Diverse Human Populations. Cell 174:1424-1435.e15
Zabat, Michelle A; Sano, William H; Wurster, Jenna I et al. (2018) Microbial Community Analysis of Sauerkraut Fermentation Reveals a Stable and Rapidly Established Community. Foods 7:
Lee, Kayla M; Morris-Love, Jenna; Cabral, Damien J et al. (2018) Coinfection With Influenza A Virus and Klebsiella oxytoca: An Underrecognized Impact on Host Resistance and Tolerance to Pulmonary Infections. Front Immunol 9:2377
Crane, Meredith J; Lee, Kayla M; FitzGerald, Ethan S et al. (2018) Surviving Deadly Lung Infections: Innate Host Tolerance Mechanisms in the Pulmonary System. Front Immunol 9:1421
Crane, Meredith J; Xu, Yun; Henry Jr, William L et al. (2018) Pulmonary influenza A virus infection leads to suppression of the innate immune response to dermal injury. PLoS Pathog 14:e1007212
Zabat, Michelle A; Sano, William H; Cabral, Damien J et al. (2018) The impact of vegan production on the kimchi microbiome. Food Microbiol 74:171-178
Cabral, Damien J; Wurster, Jenna I; Belenky, Peter (2018) Antibiotic Persistence as a Metabolic Adaptation: Stress, Metabolism, the Host, and New Directions. Pharmaceuticals (Basel) 11:
Sugden, Lauren Alpert; Atkinson, Elizabeth G; Fischer, Annie P et al. (2018) Localization of adaptive variants in human genomes using averaged one-dependence estimation. Nat Commun 9:703
Cabral, Damien J; Penumutchu, Swathi; Norris, Colby et al. (2018) Microbial competition between Escherichia coli and Candida albicans reveals a soluble fungicidal factor. Microb Cell 5:249-255

Showing the most recent 10 out of 17 publications