The objective of the Genomics and Biostatistics Core of this COBRE is to support and to enhance the research productivity of our junior investigators, as well as that of non-COBRE investigators. This is measured by our contributions to their peer-reviewed publications and grant applications. Our clients utilize our services at the study planning and design phase, as well as during the data analysis phase. We provide a variety of data acquisition services, including Sanger sequencing, flow cytometry, and nucleic acid quantitation and quality control, among others. Importantly, we have brought to researchers at out institution next-generation sequencing capability. We offer RNA-sequencing, miRNA-sequencing, whole-exome sequencing and exosome sequencing. In Phase II, these offerings will be expanded to include ChIP-sequencing and AmpliSeq. Our enhanced instrumentation and expanded personnel will make this possible, and this will help satiate the ever-increasing appetite for all of these applications. In addition, we are putting in place the validation of cell lines and animals for our investigators. Our new data analytic facilities in Phase II will allow our clients to receive data that is not only clean and valid quantitatively but also has been put through a bioinformatics pipeline that makes it relevant biologically in broader terms. The biostatistics component provided by this Core will continue to support sound study design and powering of experiments, as well as the utilization of appropriate statistical tools in data analysis. Both the biostatistics and bioinformatics components of this Core will contribute to the development of new and better approaches to the handling of the data our investigators generate.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Exploratory Grants (P20)
Project #
5P20GM103629-09
Application #
9932379
Study Section
Special Emphasis Panel (ZGM1)
Project Start
Project End
Budget Start
2020-06-01
Budget End
2021-05-31
Support Year
9
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Tulane University
Department
Type
DUNS #
053785812
City
New Orleans
State
LA
Country
United States
Zip Code
70118
Jazwinski, S Michal; Jiang, James C; Kim, Sangkyu (2018) Adaptation to metabolic dysfunction during aging: Making the best of a bad situation. Exp Gerontol 107:87-90
Zhang, Qian; Chen, Yujue; Yang, Lu et al. (2018) Multitasking Ska in Chromosome Segregation: Its Distinct Pools Might Specify Various Functions. Bioessays 40:
Kim, Sangkyu; Jazwinski, S Michal (2018) The Gut Microbiota and Healthy Aging: A Mini-Review. Gerontology 64:513-520
Boraas, Liana C; Pineda, Emma T; Ahsan, Tabassum (2018) Actin and myosin II modulate differentiation of pluripotent stem cells. PLoS One 13:e0195588
Sure, Venkata N; Sakamuri, Siva S V P; Sperling, Jared A et al. (2018) A novel high-throughput assay for respiration in isolated brain microvessels reveals impaired mitochondrial function in the aged mice. Geroscience 40:365-375
Akintunde, Akinjide R; Miller, Kristin S (2018) Evaluation of microstructurally motivated constitutive models to describe age-dependent tendon healing. Biomech Model Mechanobiol 17:793-814
Kim, Sangkyu; Wyckoff, Jennifer; Morris, Anne-T et al. (2018) DNA methylation associated with healthy aging of elderly twins. Geroscience 40:469-484
Palozola, Katherine C; Donahue, Greg; Liu, Hong et al. (2017) Mitotic transcription and waves of gene reactivation during mitotic exit. Science 358:119-122
Liao, Wenjuan; Liu, Hongbing; Zhang, Yiwei et al. (2017) Ccdc3: A New P63 Target Involved in Regulation Of Liver Lipid Metabolism. Sci Rep 7:9020
Jazwinski, S Michal; Kim, Sangkyu (2017) Metabolic and Genetic Markers of Biological Age. Front Genet 8:64

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