Core C. Biostatistics, Bioinformatics and Data Management Core For any modern, large project in biomedical research, it is important to take advantage of input on the most modern study designs and the most up-to-date methods for statistical analyses of data. Each Project will thus have the benefit of access to our Biostatistics, Bioinformatics, and Data Management Core, directed by Dr. Hongzhe Li. The goal of this core is to design and provide data analytic and bioinformatics services to support all program project investigators. Moreover, in collaboration with the Administrative Core, Core C will provide comprehensive data management and data sharing services for all the projects. Core C will collaborate with all projects by assisting with study design, biostatistical and bioinformatics analyses, and interpretation of results before, during, and after the study is completed. In particular, Core C investigators will provide specialized expertise in functional genomics, analytic methods for characterizing the relationship among high-dimensional genomic data and pathological outcomes, analytic methods for gene expression data from microarray technologies, and methods for the analysis of proteomics data.
The Specific Aims of Core C are to: (1) advise investigators on study design issues, including sample size and power calculation; (2) conduct statistical analyses of data from each project and across projects to address specific hypotheses defined in project-specific proposals; (3) conduct exploratory analyses and develop novel analysis strategies that may lead to generation of new hypotheses; and (4) develop web-based central databases of high scientific quality from multiple sources for data sharing among the projects/cores and for biostatistical analysis. Relevance to public health:The conserved nature of the IGF-lnsR axis pathway for lifespan extension from flies to worms to mice, and the special focus of p66Shc on adiposity, suggests that elucidation of the p66Shc will likely be relevant to human health in the United States.
| Roberts, Megan N; Wallace, Marita A; Tomilov, Alexey A et al. (2018) A Ketogenic Diet Extends Longevity and Healthspan in Adult Mice. Cell Metab 27:1156 |
| Penna, Elisa; Espino, Javier; De Stefani, Diego et al. (2018) The MCU complex in cell death. Cell Calcium 69:73-80 |
| Pallafacchina, Giorgia; Zanin, Sofia; Rizzuto, Rosario (2018) Recent advances in the molecular mechanism of mitochondrial calcium uptake. F1000Res 7: |
| Jasoliya, Mittal J; McMackin, Marissa Z; Henderson, Chelsea K et al. (2017) Frataxin deficiency impairs mitochondrial biogenesis in cells, mice and humans. Hum Mol Genet 26:2627-2633 |
| Song, Lanying; Yu, Alfred; Murray, Karl et al. (2017) Bipolar cell reduction precedes retinal ganglion neuron loss in a complex 1 knockout mouse model. Brain Res 1657:232-244 |
| Roberts, Megan N; Wallace, Marita A; Tomilov, Alexey A et al. (2017) A Ketogenic Diet Extends Longevity and Healthspan in Adult Mice. Cell Metab 26:539-546.e5 |
| Taylor, Sandra L; Ruhaak, L Renee; Weiss, Robert H et al. (2017) Multivariate two-part statistics for analysis of correlated mass spectrometry data from multiple biological specimens. Bioinformatics 33:17-25 |
| Hayashi, Genki; Jasoliya, Mittal; Sahdeo, Sunil et al. (2017) Dimethyl fumarate mediates Nrf2-dependent mitochondrial biogenesis in mice and humans. Hum Mol Genet 26:2864-2873 |
| Wright, Lauren E; Vecellio Reane, Denis; Milan, Gabriella et al. (2017) Increased mitochondrial calcium uniporter in adipocytes underlies mitochondrial alterations associated with insulin resistance. Am J Physiol Endocrinol Metab 313:E641-E650 |
| Baldassini, W A; Ramsey, J J; Hagopian, K et al. (2017) The influence of Shc proteins and high-fat diet on energy metabolism of mice. Cell Biochem Funct 35:527-537 |
Showing the most recent 10 out of 103 publications
