The completion of the human genome sequence provides a powerful framework for elucidating the functional elements of the genome. In the previous funding period we have established the Yale Center of Excellence in Genomic Sciences (CEGS) and developed a number of new genomic tiling array technologies for identifying transcribed sequences, transcription-factor binding sites, and sequence variation on a large scale. Here we propose to extend these efforts and build innovative molecular and informatics approaches to elucidate genome transcription and regulation. In particular, we will improve and develop methods for identifying transcribed regions, including those that encode 5' and 3' ends, and use the resulting data to refine genome annotation. We will improve technologies for mapping many transcription factor binding sites, and we will develop novel approaches for analyzing the co-association between multiple factors. We will develop methods for explicitly linking the sequences of regulatory sites to the proteins that bind them and novel approaches for detecting the associations of sequences that are physically linked, but distantly located in the nucleus. These technologies will be applied to analysis of key regulatory steps involved in inflammation to help us understand this important process. Moreover, the technologies, data, material and tools generated from this Center are expected to have high impact for the scientific community. The Center will continue to serve as a focal point for the training of middle and high school students and their teachers, and for undergraduates, graduate students and postdoctoral fellows and for formal classroom training of undergraduate and graduate students. Through outreach programs and collaborations, the center will also enhance the genomics capabilities of other researchers at Yale and in the general scientific community.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Specialized Center (P50)
Project #
5P50HG002357-08
Application #
7490727
Study Section
Ethical, Legal, Social Implications Review Committee (GNOM)
Program Officer
Schloss, Jeffery
Project Start
2001-09-01
Project End
2011-07-31
Budget Start
2008-08-01
Budget End
2009-07-31
Support Year
8
Fiscal Year
2008
Total Cost
$3,490,952
Indirect Cost
Name
Yale University
Department
Biochemistry
Type
Schools of Arts and Sciences
DUNS #
043207562
City
New Haven
State
CT
Country
United States
Zip Code
06520
Keating, Brendan J; Pereira, Alexandre C; Snyder, Michael et al. (2018) Applying genomics in heart transplantation. Transpl Int 31:278-290
Carter, Ava C; Chang, Howard Y; Church, George et al. (2017) Challenges and recommendations for epigenomics in precision health. Nat Biotechnol 35:1128-1132
Csabai, Zsolt; Takács, Irma F; Snyder, Michael et al. (2017) Evaluation of the impact of ul54 gene-deletion on the global transcription and DNA replication of pseudorabies virus. Arch Virol 162:2679-2694
Moldován, Norbert; Balázs, Zsolt; Tombácz, Dóra et al. (2017) Multi-platform analysis reveals a complex transcriptome architecture of a circovirus. Virus Res 237:37-46
Esplin, Edward D; Chaib, Hassan; Haney, Michael et al. (2015) 46,XY disorders of sex development and congenital diaphragmatic hernia: a case with dysmorphic facies, truncus arteriosus, bifid thymus, gut malrotation, rhizomelia, and adactyly. Am J Med Genet A 167:1360-4
Menon, Rajasree; Im, Hogune; Zhang, Emma Yue et al. (2014) Distinct splice variants and pathway enrichment in the cell-line models of aggressive human breast cancer subtypes. J Proteome Res 13:212-27
Haraksingh, Rajini R; Jahanbani, Fereshteh; Rodriguez-Paris, Juan et al. (2014) Exome sequencing and genome-wide copy number variant mapping reveal novel associations with sensorineural hereditary hearing loss. BMC Genomics 15:1155
Waern, Karl; Snyder, Michael (2013) Extensive transcript diversity and novel upstream open reading frame regulation in yeast. G3 (Bethesda) 3:343-52
Stanberry, Larissa; Mias, George I; Haynes, Winston et al. (2013) Integrative analysis of longitudinal metabolomics data from a personal multi-omics profile. Metabolites 3:741-60
Li-Pook-Than, Jennifer; Snyder, Michael (2013) iPOP goes the world: integrated personalized Omics profiling and the road toward improved health care. Chem Biol 20:660-6

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