Core A The purpose of this core is to provide sequencing and bioinformatic analyses of transcriptomes,methylomes, exomes and mircobiomes. Next-generation sequencers have transformed genomic research, yet the generation and analysis of this data remains a bottleneck. Our core will provide the essential sequencing and data analysis service to render this data accessible and interpretable to the members of this consortium. The PIs and staff of this core have extensive experience in the generation and analysis of genomic data, as well as familiarity with the underlying biology of the associated projects. Despite the fact that other sequencing cores exist at UCLA, none of these provide all the services proposed herein. The core we are proposing here will enable the groups within this consortium to be able to not only collect sequencing data from their samples, but also obtain processed and analyzed data that can be directly interpreted by researchers without extensive computational expertise. This functionality should render genomics research far more accessible to all members of this consortium.

Public Health Relevance

Core A The purpose of the Sequencing Core is to provide sequencing and bioinformatic analysis of transcriptomic, epigenomic, exomic and metagenomic data. Our Core will provide the essential data generation and analysis service to render this data accessible and interpretable to the members of this consortium. The directors and staff of this Core have extensive experience in the generation and analysis of genomic data, as well as familiarity with the underlying biology of the associated projects.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Program Projects (P01)
Project #
5P01HL028481-34
Application #
9476300
Study Section
Special Emphasis Panel (ZHL1)
Program Officer
Liu, Lijuan
Project Start
Project End
Budget Start
2018-05-01
Budget End
2019-04-30
Support Year
34
Fiscal Year
2018
Total Cost
Indirect Cost
Name
University of California Los Angeles
Department
Type
DUNS #
092530369
City
Los Angeles
State
CA
Country
United States
Zip Code
90095
Lang, Jennifer M; Pan, Calvin; Cantor, Rita M et al. (2018) Impact of Individual Traits, Saturated Fat, and Protein Source on the Gut Microbiome. MBio 9:
Cherlin, Svetlana; Wang, Maggie Haitian; Bickeböller, Heike et al. (2018) Detecting responses to treatment with fenofibrate in pedigrees. BMC Genet 19:64
Park, Shuin; Ranjbarvaziri, Sara; Lay, Fides D et al. (2018) Genetic Regulation of Fibroblast Activation and Proliferation in Cardiac Fibrosis. Circulation 138:1224-1235
Roberts, Adam B; Gu, Xiaodong; Buffa, Jennifer A et al. (2018) Development of a gut microbe-targeted nonlethal therapeutic to inhibit thrombosis potential. Nat Med 24:1407-1417
Zhu, W; Buffa, J A; Wang, Z et al. (2018) Flavin monooxygenase 3, the host hepatic enzyme in the metaorganismal trimethylamine N-oxide-generating pathway, modulates platelet responsiveness and thrombosis risk. J Thromb Haemost 16:1857-1872
Lee, Jessica M; Ong, Jessica R; Vergnes, Laurent et al. (2018) Diet1, bile acid diarrhea, and FGF15/19: mouse model and human genetic variants. J Lipid Res 59:429-438
Miao, Zong; Alvarez, Marcus; Pajukanta, Päivi et al. (2018) ASElux: an ultra-fast and accurate allelic reads counter. Bioinformatics 34:1313-1320
Kurt, Zeyneb; Barrere-Cain, Rio; LaGuardia, Jonnby et al. (2018) Tissue-specific pathways and networks underlying sexual dimorphism in non-alcoholic fatty liver disease. Biol Sex Differ 9:46
Orozco, Luz D; Farrell, Colin; Hale, Christopher et al. (2018) Epigenome-wide association in adipose tissue from the METSIM cohort. Hum Mol Genet 27:1830-1846
Chella Krishnan, Karthickeyan; Kurt, Zeyneb; Barrere-Cain, Rio et al. (2018) Integration of Multi-omics Data from Mouse Diversity Panel Highlights Mitochondrial Dysfunction in Non-alcoholic Fatty Liver Disease. Cell Syst 6:103-115.e7

Showing the most recent 10 out of 518 publications