Despite the rapidly increasing capacity to sequence human genomes, our incomplete ability to read and interpret the information content in genomes and epigenomes remain a central challenge. A comprehensive set of regulatory events across a genome - the regulome - is needed to make full use of genomic information, but is currently out of reach for practically all clinical applications and many biological systems The proposed Center will develop technologies that greatly increase the sensitivity, speed, and comprehensiveness of understanding genome regulation. We will develop new technologies to interrogate the transactions between the genome and regulatory factors, such as proteins and noncoding RNAs, and integrate variations in DNA sequences and chromatin states over time and across individuals. Novel molecular engineering and biosensor strategies are deployed to encapsulate the desired complex DNA transformations into the probe system, such that the probe system can be directly used on very small human clinical samples and capture genome-wide information in one or two steps. These technologies will be applied to clinical samples and workflows in real time to exercise their robustness and reveal for the first time epigenomic dynamics of human diseases during progression and treatment. These technologies will be broadly applicable to many biomedical investigations, and the Center will disseminate the technologies via training and diverse means.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Specialized Center (P50)
Project #
5P50HG007735-05
Application #
9547902
Study Section
National Human Genome Research Institute Initial Review Group (GNOM)
Project Start
Project End
Budget Start
2018-07-01
Budget End
2019-06-30
Support Year
5
Fiscal Year
2018
Total Cost
Indirect Cost
Name
Stanford University
Department
Type
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94304
Corces, M Ryan; Granja, Jeffrey M; Shams, Shadi et al. (2018) The chromatin accessibility landscape of primary human cancers. Science 362:
Pattison, Jillian M; Melo, Sandra P; Piekos, Samantha N et al. (2018) Retinoic acid and BMP4 cooperate with p63 to alter chromatin dynamics during surface epithelial commitment. Nat Genet 50:1658-1665
Zhang, Wei; Bojorquez-Gomez, Ana; Velez, Daniel Ortiz et al. (2018) A global transcriptional network connecting noncoding mutations to changes in tumor gene expression. Nat Genet 50:613-620
Rubin, Adam J; Parker, Kevin R; Satpathy, Ansuman T et al. (2018) Coupled Single-Cell CRISPR Screening and Epigenomic Profiling Reveals Causal Gene Regulatory Networks. Cell :
Zhou, Bo; Arthur, Joseph G; Ho, Steve S et al. (2018) Extensive and deep sequencing of the Venter/HuRef genome for developing and benchmarking genome analysis tools. Sci Data 5:180261
Duren, Zhana; Chen, Xi; Zamanighomi, Mahdi et al. (2018) Integrative analysis of single-cell genomics data by coupled nonnegative matrix factorizations. Proc Natl Acad Sci U S A 115:7723-7728
Gate, Rachel E; Cheng, Christine S; Aiden, Aviva P et al. (2018) Genetic determinants of co-accessible chromatin regions in activated T cells across humans. Nat Genet 50:1140-1150
Prazsák, István; Tombácz, Dóra; Sz?cs, Attila et al. (2018) Full Genome Sequence of the Western Reserve Strain of Vaccinia Virus Determined by Third-Generation Sequencing. Genome Announc 6:
Boyle, Evan A; Pritchard, Jonathan K; Greenleaf, William J (2018) High-resolution mapping of cancer cell networks using co-functional interactions. Mol Syst Biol 14:e8594
Tombácz, Dóra; Sharon, Donald; Sz?cs, Attila et al. (2018) Transcriptome-wide survey of pseudorabies virus using next- and third-generation sequencing platforms. Sci Data 5:180119

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