Adjunct Professor, School of Nursing, McGill University
Member, Department of Human Genetics, McGill University
Lady Davis Institute for Medical Research
Sir Mortimer B. Davis-Jewish General Hospital
3755 Côte-Ste-Catherine Road
Montreal, Quebec H3T 1E2
Tel.: 514-340-8222 ext. 5269
bruce [dot] gottlieb [at] mcgill [dot] ca (Email)
The Androgen Receptor Gene Mutations Database World Wide Web Server
Expertise: Androgen Receptor – Mechanism of Action, genetic instability of androgen independent prostate carcinoma
Summary of Research Activities
Somatic Gene Mutations and Prostate Cancer
The research program is part of a team led by Dr. Mark Trifiro. Our particular emphasis is on bioinformatics, including gene mutation databases and molecular dynamic modeling of protein structures to elucidate structure function relationships. We are presently the curator of the Androgen Receptor Gene Mutations database, which is a world wide genetic database that is available on the web. Specific projects include an examination of how mutations in the androgen receptor gene, might effect the occurrence and progression of prostate cancer. In particular, emphasis is on somatic as opposed to germline events and how genetic heterogeneity might result in cancer. Recent advances in dissecting technology using lasers have allowed us to examine mutations in the androgen receptor gene within specific types of cancer and non-cancer tissues. As the androgen receptor is a key protein in the development of prostate tissue as well as prostate cancer, it is hoped that this approach will lead to much earlier detection of, as well as more effective treatment of prostate cancer.
Gottlieb B, Beitel LK, Trifiro M. Will knowledge of human genome variation result in changing cancer paradigms? Bioessays. 2007 Jul;29(7):678-85. Review.
Giardine B, Riemer C, Hefferon T, Thomas D, Hsu F, Zielenski J, Sang Y, Elnitski L, Cutting G, Trumbower H, Kern A, Kuhn R, Patrinos GP, Hughes J, Higgs D, Chui D, Scriver C, Phommarinh M, Patnaik SK, Blumenfeld O, Gottlieb B, Vihinen M, Valiaho J, Kent J, Miller W, Hardison RC. PhenCode: connecting ENCODE data with mutations and phenotype. Hum Mutat. 2007 Jun;28(6):554-62.