Innovative interdisciplinary work is essential to address the most challenging issues in the era of genomic biomedical research. One of these is the evolutionary structure/function of transcriptional regulation. Comparative molecular evolutionary work is essential here. TP53 is probably the single most important gene in cell cycle and cancer studies. However, there is no clear model for the evolution of the main transcriptional regulatory region across mammals, nor how our key animal models, including mouse, differ. Going from a shrew-like ancestor to an elephant, a whale or a human implies important changes in the regulation of TP53. While many mammals retain a similar TP53 cis-regulatory region to humans, evidence of its overall importance, others have undergone large changes, e.g., mice are highly atypical and one close relative of primates has deleted nearly the whole 5'regulatory region. This project's aims are as follows: (1) Very dense comparative alignment of the TP53/GBN5 cis-regulatory region across mammals;(2) Characterization of transcriptional responses using cell lines from a wide variety of species;(3) Molecular footprinting of this promoter region across mammals;(4) Test hypotheses of regulatory evolution using deletion/site-directed mutation constructs with reporter gene assays. As with (2) a key novel aspect of this work is the use of wildtype fibroblast cell lines from many different orders of mammals;(5) Using a novel pair-wise cell line assay, separate cis (local) from trans (non-local) effects in the evolution of transcriptional regulation;(6) Use, test, and develop bioinformatic/genomic and molecular evolutionary techniques on the dense sequence alignment of (1), plus genomes of over 14 species of mammals. To compare and contrast their effectiveness with our direct molecular data, Overall, to arrive at a better understanding of this important regulatory region and to illustrate the enhanced potential of comparative bioinformatics/genomics plus comparative functional molecular biology.

Agency
National Institute of Health (NIH)
Institute
National Library of Medicine (NLM)
Type
Research Project (R01)
Project #
5R01LM008626-06
Application #
7685409
Study Section
Biomedical Library and Informatics Review Committee (BLR)
Program Officer
Ye, Jane
Project Start
2005-09-30
Project End
2012-09-30
Budget Start
2009-09-30
Budget End
2012-09-30
Support Year
6
Fiscal Year
2009
Total Cost
$271,777
Indirect Cost
Name
Purdue University
Department
Biology
Type
Schools of Arts and Sciences
DUNS #
072051394
City
West Lafayette
State
IN
Country
United States
Zip Code
47907
Abegglen, Lisa M; Caulin, Aleah F; Chan, Ashley et al. (2015) Potential Mechanisms for Cancer Resistance in Elephants and Comparative Cellular Response to DNA Damage in Humans. JAMA 314:1850-60
Collings, Clayton K; Waddell, Peter J; Anderson, John N (2013) Effects of DNA methylation on nucleosome stability. Nucleic Acids Res 41:2918-31
Collings, Clayton K; Fernandez, Alfonso G; Pitschka, Chad G et al. (2010) Oligonucleotide sequence motifs as nucleosome positioning signals. PLoS One 5:e10933
Kaufmann, Barbel; Bowman, Valorie D; Li, Yi et al. (2010) Structure of Penaeus stylirostris densovirus, a shrimp pathogen. J Virol 84:11289-96
Waddell, Peter J; Ota, Rissa; Penny, David (2009) Measuring fit of sequence data to phylogenetic model: gain of power using marginal tests. J Mol Evol 69:289-99
Miao, Xijiang; Waddell, Peter J; Valafar, Homayoun (2008) TALI: local alignment of protein structures using backbone torsion angles. J Bioinform Comput Biol 6:163-81
Waters, Paul D; Dobigny, Gauthier; Waddell, Peter J et al. (2008) LINE-1 elements: analysis by fluorescence in-situ hybridization and nucleotide sequences. Methods Mol Biol 422:227-37
Kitazoe, Yasuhiro; Kishino, Hirohisa; Waddell, Peter J et al. (2007) Robust time estimation reconciles views of the antiquity of placental mammals. PLoS One 2:e384
Waters, Paul D; Dobigny, Gauthier; Waddell, Peter J et al. (2007) Evolutionary history of LINE-1 in the major clades of placental mammals. PLoS One 2:e158
Waddell, Peter J; Kishino, Hirohisa; Ota, Rissa (2007) Phylogenetic methodology for detecting protein interactions. Mol Biol Evol 24:650-9