The primary focus of the work described in this proposal is the definition of molecular mechanisms of transcriptional specificity within the E2F family of transcription factors. A large body of work has now demonstrated the critical role of E2F proteins in cell cycle progression, particularly playing a key role in the control of expression of genes critical for the transition from G1 into S phase. Moreover, other work has demonstrated the role of E2F proteins in signaling cell fate determinations, particularly the induction of apoptosis in p53-dependent and p53-independent pathways. Other studies suggest that individual members of the E2F family play different roles in these processes, likely through the ability to control the expression of different sets of target genes. Our recent work points to a mechanism for promoter specificity that involves the coordinated action of multiple transcription factors, such that combinations of interactions involving E2F proteins underlies the specificity of promoter recognition. We now propose to extend these initial studies to more globally define the role of E2F protein interactions in the determination of functional specificity. This will include studies to identify additional partners for specific E2F proteins that impart specificity of function. In addition, we will carry out studies to delineate the protein domains and promoter architecture critical for synergy of transcription control by E2F proteins. Finally, we will also employ RNAi molecules that target individual E2F proteins as well as transcriptional partners to establish the functional role of these interactions in mediating E2F function. While it is clear from many experiments that individual E2F proteins are responsible for distinct functional events, the molecular mechanisms that underlie this specificity of function are still largely unknown. We believe the approach described here will provide important insights into these events. Given the pervasive role of Rb pathway mutations in human cancer, understanding the specificity of function in the pathway, particularly the action of the E2F proteins, is critical in considering the development of cancer therapeutics that might target the most relevant aspects of Rb function.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA104663-03
Application #
6924613
Study Section
Cell Development and Function Integrated Review Group (CDF)
Program Officer
Knowlton, John R
Project Start
2003-09-30
Project End
2008-06-30
Budget Start
2005-09-01
Budget End
2006-06-30
Support Year
3
Fiscal Year
2005
Total Cost
$342,650
Indirect Cost
Name
Duke University
Department
Genetics
Type
Schools of Medicine
DUNS #
044387793
City
Durham
State
NC
Country
United States
Zip Code
27705
Shats, Igor; Gatza, Michael L; Liu, Beiyu et al. (2013) FOXO transcription factors control E2F1 transcriptional specificity and apoptotic function. Cancer Res 73:6056-67
Liu, Beiyu; Shats, Igor; Angus, Steven P et al. (2013) Interaction of E2F7 transcription factor with E2F1 and C-terminal-binding protein (CtBP) provides a mechanism for E2F7-dependent transcription repression. J Biol Chem 288:24581-9
Leung, Janet Y; Nevins, Joseph R (2012) E2F6 associates with BRG1 in transcriptional regulation. PLoS One 7:e47967
Angus, S P; Nevins, J R (2012) A role for Mediator complex subunit MED13L in Rb/E2F-induced growth arrest. Oncogene 31:4709-17
Leung, J Y; Andrechek, E R; Cardiff, R D et al. (2012) Heterogeneity in MYC-induced mammary tumors contributes to escape from oncogene dependence. Oncogene 31:2545-54
Freedman, Jennifer A; Tyler, Douglas S; Nevins, Joseph R et al. (2011) Use of gene expression and pathway signatures to characterize the complexity of human melanoma. Am J Pathol 178:2513-22
Freedman, Jennifer A; Augustine, Christina K; Selim, Angelica M et al. (2011) A methodology for utilization of predictive genomic signatures in FFPE samples. BMC Med Genomics 4:58
Wong, Jeffrey V; Yao, Guang; Nevins, Joseph R et al. (2011) Viral-mediated noisy gene expression reveals biphasic E2f1 response to MYC. Mol Cell 41:275-85
Lee, Tae J; Yao, Guang; Bennett, Dorothy C et al. (2010) Stochastic E2F activation and reconciliation of phenomenological cell-cycle models. PLoS Biol 8:
Andrechek, Eran R; Cardiff, Robert D; Chang, Jeffrey T et al. (2009) Genetic heterogeneity of Myc-induced mammary tumors reflecting diverse phenotypes including metastatic potential. Proc Natl Acad Sci U S A 106:16387-92

Showing the most recent 10 out of 16 publications