The Systems Biology and Bioinformatics Core will support the Program Subprojects and Cores in data management and analysis. We will achieve this by providing statistical sen/ices, bioinformatics collaboration and data management across the entirety of the program project. Merging biostatistical expertise at the Mayo Clinic and bioinformatics expertise at the Buck Institute for Research on Aging Bioinformatics Core, together we represent a significant resource for participant investigators. We will achieve this goal through three service-based aims. First, we will provide bioinformatics collaboration through pathway analysis, network modeling and comparative genomic analysis of tissue specific effects in mice and humans. Second, we will provide data management sen/ices with the goal of integration and cross project analyses. Finally, we will provide biostatistical analysis to ensure that each experiment within the program project is sufficiently powered and the resulting analysis is quantitatively sound. Together this represents a comprehensive approach to providing quantitative methodologies to the project.

Public Health Relevance

Modern biomedical research is largely data driven. This Core will provide access to and analysis of public and project generated data as it relates to aging and cellular senescence. To do this, we will combine biostatistics, data management and bioinformatic analysis to enable generation and testing of new hypotheses.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program Projects (P01)
Project #
5P01AG041122-02
Application #
8463948
Study Section
Special Emphasis Panel (ZAG1-ZIJ-2)
Project Start
Project End
Budget Start
2013-05-01
Budget End
2014-04-30
Support Year
2
Fiscal Year
2013
Total Cost
$79,869
Indirect Cost
$29,637
Name
Mayo Clinic, Rochester
Department
Type
DUNS #
006471700
City
Rochester
State
MN
Country
United States
Zip Code
55905
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Stout, Michael B; Steyn, Frederik J; Jurczak, Michael J et al. (2017) 17?-Estradiol Alleviates Age-related Metabolic and Inflammatory Dysfunction in Male Mice Without Inducing Feminization. J Gerontol A Biol Sci Med Sci 72:3-15
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Baker, Darren J; Childs, Bennett G; Durik, Matej et al. (2016) Naturally occurring p16(Ink4a)-positive cells shorten healthy lifespan. Nature 530:184-9
Campisi, Judith (2016) Cellular Senescence and Lung Function during Aging. Yin and Yang. Ann Am Thorac Soc 13:S402-S406

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