Desmond Smith Md Phd


Associate Professor
Department of Molecular and Medical Pharmacology

23-120 CHS
310-206-0086 | 310-794-5711

Research Interests

Functional Neurogenomics: We are interested in understanding how the genome constructs the brain, in both health and disease. One research direction is the development of technologies for genome-scale acquisition of expression patterns in the brain. These methods, voxelation and gene expression tomography, survey both the transcriptome and proteome and combine the mathematical concepts of biomedical imaging with the high-throughput analytic tools of genomics. Another research interest is the use of genetic mapping to identify loci influencing behavior in the mouse. We are also developing new methods to improve the power and utility of genomics in general. One approach employs the concepts of error-correcting codes to improve microarray performance and another uses hyperspectral imaging to speed hybridization assays. The ultimate goal of our research is to decode the conceptual wiring diagram of the genome which gives rise to the neuronal wiring diagram of the brain.


Recent Papers

  1. Ghazalpour A., Bennett B., Petyuk V.A., Orozco L., Hagopian R., Mungrue I.N., Farber C.R., Sinsheimer J., Kang H.M., Furlotte N., Park C.C., Wen P.Z., Brewer H., Weitz K., Camp D.G. 2nd, Pan C., Yordanova R., Neuhaus I., Tilford C., Siemers N., Gargolovic P., Eskin E., Kirchgessner T., Smith D.J., Smith R.D., Lusis A.J., “Comparative analysis of proteome and transcriptome variation in mouse,” PLoS Genet. 2011 Jun;7(6):e1001393. Epub 2011 Jun 9.
  2. Park C.C., Gale G.D., de Jong S., Ghazalpour A., Bennett B.J., Farber C.R., Langfelder P., Lin A., Khan A.H., Eskin E., Horvath S., Lusis A.J., Ophoff R.A., Smith D.J., “Gene networks associated with conditional fear in mice identified using a systems genetics approach,” BMC Syst Biol. 2011 Mar 16;5;43.
  3. Ranola J.M., Ahn S., Sehl M., Smith D.J., Lange K., “A Poisson model for random multigraphs,” Bioinformatics. 2010 Aug 15; 226(16):2004-11. Epub 2010 Jun 16.
  4. Lin A., Wang R.T., Ahn S., Park C.C., Smith D.J., “A genome-wide map of human genetic interactions inferred from radiation hybrid genotypes,” Genome Res. 2010 Aug;20(8):1122-32. Epub 2010 May 27.
  5. Smith D.J., “Mitochondrial dysfunction in mouse models of Parkinson’s disease revealed by transcriptomics and proteomics,” J Bioenerg Biomembr. 2009 Dec;41(6):487-91. Review.
  6. Bojanic D.D., Tarr P.T., Gale G.D., Smith D.J., Bok D., Chen B., Nusinowitz S., Lovgren-Sandblom A., Bjorkehm I., Edwards P.A., “Differential expression and function of ABCG1 and ABCG4 during development and aging,” J Lipid Res. 2010 Jan;51(1):169-91. Epub.
  7. Ahn S., Wang R.T., Park C.C., Lin A., Leahy R.M., Lange K., Smith D.J., “Directed mammalian gene regulatory networks using expression and comparative genomic hybridization microarray data from radiation hybrids,” PLoS Comput Biol. 2009 Jun;5(6):e1000407. Epub 209 Jun 12.
  8. Park C.C., Petyuk V.A., Qian W.J., Smith R.D., Smith D.J., “Dual spatial maps of transcript and protein abundance in the mouse brain,” Expert Rev Proteomics. 2009 Jun;6(3):243-9. Review.
  9. Farber C.R., van Nas A., Ghazalpour A., Aten J.E., Doss S., Sos B., Schadt E.E., Ingram-Drake L., Davis R.C., Horvath S., Smith D.J., Drake T.A., Lusis A.J., “An integrative genetics approach to identify candidate genes regulating BMD: combining linkage, gene expression, and association,” J Bone Miner Res. 2009 Jan;24(1):105-16.
  10. Chen H.P., Lin A., Bloom J.S., Khan A.H., Park C.C., Smith D.J., “Screening reveals conserved and nonconserved transcriptional regulatory elements including an E3/E4 allele-dependent APOE coding region enhancer,” Genomics. 2008 Nov;92(5):292-300. Epub 2008 Sep 3.