Molecular Signaling Research at Wake Forest University
Our interests in molecular signaling range from genetic and genomic to protein function, and organismal physiology. Complete genome (DNA) sequences already exist for the majority of model organisms studied by this group of researchers. Methods to identify changes in gene expression are available at WFU. With the recent award of an NSF Instrumentation Grant to investigators in Biology and Physics, a state-of-the art laser scanning confocal microscope is in place in the Biology Department. This instrument allows examination of cellular changes in signaling molecules with high temporal and spatial resolution. Furthermore, although studies of the proteome (the suite of proteins produced by any organism), are technically more difficult and intellectually more challenging than genomic studies, as each protein has unique structural and physical properties that change with time, they provide important information not previously available. Collectively, molecular signaling faculty at WFU study a diverse range of organisms including established model organisms such as Drosophila, E. coli and Arabidopsis, but also focus on humans and unique models, such as honey bees and human blood cells. Our focus also builds on a pre-existing collaborative research and graduate certificate program in Structural and Computational Biophysics (SCB), which offers students the opportunity to obtain advanced degrees (Ph.D. and M.S.) in a traditional discipline (Physics, Chemistry, Biochemistry, Molecular Biology, Biology, Mathematics, or Computer Science) while receiving broad training in the interdisciplinary field of Structural and Computational Biophysics. Programmatically, molecular signaling research at Wake Forest University builds on the community created by the success of SCB, but differs from the more biophysical SCB by adding an emphasis on molecular physiology (the science of how organisms work). This shift is not merely semantic, as it permits the inclusion of researchers whose approaches to gene expression and protein function are neither explicitly computational nor biophysical.
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