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 #
7P01AG017242-08
Application #
7232319
Study Section
Special Emphasis Panel (ZAG1)
Project Start
Project End
Budget Start
2006-04-01
Budget End
2007-03-31
Support Year
8
Fiscal Year
2006
Total Cost
$248,414
Indirect Cost
Name
Buck Institute for Age Research
Department
Type
DUNS #
786502351
City
Novato
State
CA
Country
United States
Zip Code
94945
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
Johnson, Simon C; Gonzalez, Brenda; Zhang, Quanwei et al. (2017) Network analysis of mitonuclear GWAS reveals functional networks and tissue expression profiles of disease-associated genes. Hum Genet 136:55-65
Demaria, Marco; O'Leary, Monique N; Chang, Jianhui et al. (2017) Cellular Senescence Promotes Adverse Effects of Chemotherapy and Cancer Relapse. Cancer Discov 7:165-176
Yu, Bo; Dong, Xiao; Gravina, Silvia et al. (2017) Genome-wide, Single-Cell DNA Methylomics Reveals Increased Non-CpG Methylation during Human Oocyte Maturation. Stem Cell Reports 9:397-407
Vijg, Jan; Dong, Xiao; Zhang, Lei (2017) A high-fidelity method for genomic sequencing of single somatic cells reveals a very high mutational burden. Exp Biol Med (Maywood) 242:1318-1324
Ogrodnik, Mikolaj; Miwa, Satomi; Tchkonia, Tamar et al. (2017) Cellular senescence drives age-dependent hepatic steatosis. Nat Commun 8:15691
Dong, Xiao; Zhang, Lei; Milholland, Brandon et al. (2017) Accurate identification of single-nucleotide variants in whole-genome-amplified single cells. Nat Methods 14:491-493

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