Scientific progress in the ability to characterize the expression characteristics of organs, tissues, cell populations, and the rapidly approaching requirement to monitor single cells have moved traditional scientific methods of data capture into the computer age. Genome-based data, including microarray techniques have only emphasized the requirement for more complete analysis of experimental data. Understanding of the biology at the level of the organism will be facilitated when methods of experimental data capture allow its comprehensive review. To this end, this Program Project has undertaken the goal of creating methods of simplified and accurate data capture at the level of genetic manipulation, animal management, gene expression, protein levels, and the complex endpoint of mouse pathology. Creating a high quality source of animal data from genotype to pathology supports the Program Project's stated long-term goal of elucidating the role of genome stability mechanisms in the process of biological aging by studying mice with specific gene mutations for alterations in various aging-related parameters. We propose the continuation of this core as the Array and Informatics Core to provide services related to the capture and storage of data related to genotype, lifespan data, mRNA expression levels, and end-of-life pathology.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program Projects (P01)
Project #
5P01AG017242-07
Application #
7061679
Study Section
Special Emphasis Panel (ZAG1)
Project Start
Project End
Budget Start
2005-04-01
Budget End
2006-03-31
Support Year
7
Fiscal Year
2005
Total Cost
$241,898
Indirect Cost
Name
University of Texas Health Science Center San Antonio
Department
Type
DUNS #
800772162
City
San Antonio
State
TX
Country
United States
Zip Code
78229
Lau, Cia-Hin; Suh, Yousin (2018) In vivo epigenome editing and transcriptional modulation using CRISPR technology. Transgenic Res 27:489-509
Wiley, Christopher D; Schaum, Nicholas; Alimirah, Fatouma et al. (2018) Small-molecule MDM2 antagonists attenuate the senescence-associated secretory phenotype. Sci Rep 8:2410
Quispe-Tintaya, Wilber; Lee, Moonsook; Dong, Xiao et al. (2018) Bleomycin-induced genome structural variations in normal, non-tumor cells. Sci Rep 8:16523
Hébert, Jean M; Vijg, Jan (2018) Cell Replacement to Reverse Brain Aging: Challenges, Pitfalls, and Opportunities. Trends Neurosci 41:267-279
Lau, Cia-Hin; Suh, Yousin (2017) In vivo genome editing in animals using AAV-CRISPR system: applications to translational research of human disease. F1000Res 6:2153
Hernandez-Segura, Alejandra; de Jong, Tristan V; Melov, Simon et al. (2017) Unmasking Transcriptional Heterogeneity in Senescent Cells. Curr Biol 27:2652-2660.e4
Wiley, Christopher D; Flynn, James M; Morrissey, Christapher et al. (2017) Analysis of individual cells identifies cell-to-cell variability following induction of cellular senescence. Aging Cell 16:1043-1050
Milholland, Brandon; Dong, Xiao; Zhang, Lei et al. (2017) Differences between germline and somatic mutation rates in humans and mice. Nat Commun 8:15183
Baar, Marjolein P; Brandt, Renata M C; Putavet, Diana A et al. (2017) Targeted Apoptosis of Senescent Cells Restores Tissue Homeostasis in Response to Chemotoxicity and Aging. Cell 169:132-147.e16
Milholland, Brandon; Suh, Yousin; Vijg, Jan (2017) Mutation and catastrophe in the aging genome. Exp Gerontol 94:34-40

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