The coordinated regulation of gene expression in response to hormonal signals is a fundamental process in biology. Lipophilic hormones (e.g., estrogens in vertebrates, and ecdysteroids in insects) comprise a structurally diverse array of compounds that play important roles in many physiological processes, including growth, development, reproduction, and metabolism. Aberrations in the signaling pathways controlled by these hormones lead to disease states, including developmental abnormalities and cancers. The lipophilic hormones exert their effects through nuclear receptor (NR) proteins that function as DNA-binding transcription factors in the chromatin environment of the nucleus. ? ? The long term objective of these studies is to test the broad hypothesis that transcriptional outcomes in NR signaling pathways are determined by physical and functional interactions among the receptors, their associated coregulatory proteins, and chromatin. In particular, we will investigate a possible link between metabolic cofactors and signal-regulated transcription, focusing on the role of poly (ADP-ribose) polymerase- 1 (PARP-1) in NR-dependent gene regulation. PARP-1 is an intriguing coregulatory protein whose activity is regulated by the metabolic cofactor nicotinamide adenine dinucleotide (NAD?). We will use a variety of complementary experimental systems (e.g., human cells and Drosophila larvae) and approaches (e.g., biochemical, cell-based, and organismal) to examine the mechanisms underlying PARP-1 coregulatory activity with NRs. The approaches include a unique biochemical (""""""""cell-free"""""""") assay that accurately recreates hormone-dependent transcription with chromatin templates assembled in vitro, as well as microarray-based chromatin immunoprecipitation assays (""""""""CHIP on chips"""""""") and immunofluorescent staining of Drosophila polytene chromosomes to generate a global view of factor distribution at hormone-regulated genes. These studies should lead to significant advances in the way we analyze hormone-regulated gene expression and increase our understanding of how these processes occur in normal and disease states. ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Research Project (R01)
Project #
5R01DK069710-03
Application #
7106399
Study Section
Molecular and Cellular Endocrinology Study Section (MCE)
Program Officer
Margolis, Ronald N
Project Start
2004-09-30
Project End
2007-08-31
Budget Start
2006-09-01
Budget End
2007-08-31
Support Year
3
Fiscal Year
2006
Total Cost
$231,431
Indirect Cost
Name
Cornell University
Department
Biochemistry
Type
Schools of Earth Sciences/Natur
DUNS #
872612445
City
Ithaca
State
NY
Country
United States
Zip Code
14850
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Willcockson, Alexandra R; Nandu, Tulip; Liu, Cheuk-Lun et al. (2018) Transcriptome signature identifies distinct cervical pathways induced in lipopolysaccharide-mediated preterm birth. Biol Reprod 98:408-421
Lin, Ken Y; Kraus, W Lee (2017) PARP Inhibitors for Cancer Therapy. Cell 169:183
Gupte, Rebecca; Liu, Ziying; Kraus, W Lee (2017) PARPs and ADP-ribosylation: recent advances linking molecular functions to biological outcomes. Genes Dev 31:101-126
Liu, Ziying; Kraus, W Lee (2017) Catalytic-Independent Functions of PARP-1 Determine Sox2 Pioneer Activity at Intractable Genomic Loci. Mol Cell 65:589-603.e9
Luo, Xin; Ryu, Keun Woo; Kim, Dae-Seok et al. (2017) PARP-1 Controls the Adipogenic Transcriptional Program by PARylating C/EBP? and Modulating Its Transcriptional Activity. Mol Cell 65:260-271
Gibson, Bryan A; Zhang, Yajie; Jiang, Hong et al. (2016) Chemical genetic discovery of PARP targets reveals a role for PARP-1 in transcription elongation. Science 353:45-50
Ryu, Keun Woo; Kim, Dae-Seok; Kraus, W Lee (2015) New facets in the regulation of gene expression by ADP-ribosylation and poly(ADP-ribose) polymerases. Chem Rev 115:2453-81
Winans, Bethany; Nagari, Anusha; Chae, Minho et al. (2015) Linking the aryl hydrocarbon receptor with altered DNA methylation patterns and developmentally induced aberrant antiviral CD8+ T cell responses. J Immunol 194:4446-57
Chae, Minho; Danko, Charles G; Kraus, W Lee (2015) groHMM: a computational tool for identifying unannotated and cell type-specific transcription units from global run-on sequencing data. BMC Bioinformatics 16:222

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