Ebru Erbay, M.D., Ph.D.
Faculty of Science, B Building
Department of Molecular Biology and Genetics
06800 Ankara, TURKEY
Science B 242
+90-312-290 25 05
+90-312-266 50 97
Lab Web Site
Academic Degrees and Employment
Postdoctoral training: Harvard School of Public Health Ph.D. : University of Illinois, Urbana-Champaign M.D. : Akara University
Assistant Professor: Bilkent University
Research Associate: Harvard School of Public Health Postdoctoral Fellow : Harvard School of Public Health
Busra Yagabasan, Erdem Terzi, Inci Simsek, Ozlem Tufanli, Seda Koyuncu, Cansu Tekin, Cagla Comert, Elif Kayali, Kubra Eren, Nil Aygun, Selin Kenet, Elcin Kinikli
|The overall resarch focus:|
|Lipotoxic endoplasmic reticulum stress in cardiometabolic syndrome: My laboratory’s research focus is at the intersection of nutrient-sensitive, inflammatory and stress pathways in the context of chronic inflammatory and metabolic diseases. Metabolic overload leads to endoplasmic reticulum (ER) stress and activates the unfolded protein response (UPR). The UPR is essentially an adaptive signaling emanating from the ER to cope with cellular stress. Our major goal is to probe the molecular differences between the detrimental consequences of metabolic ER stress and the adaptive UPR that could be therapeutically exploited in chronic metabolic and inflammatory diseases. We are mainly interested in the molecular and cellular mechanisms by which the ER receives and regulates the lipid status of the cells in the context of metabolic diseases. We developed a chemical-genetic approach to specifically modulate several proximal kinases in the UPR. This method allows mono-specific activation or inhibition of only the modified kinase in cells and tissues and will enable targeting of individual arms of the UPR governed by these kinases. Furthermore, this will be coupled to substrate discovery and creation of transgenic mouse models where the activity of these essential kinases can be regulated at specific points during chronic metabolic and inflammatory disease process. This work involves a multidisciplinary approach including chemical-genetics, cell biology, proteomics, metabolomics, transgenic mice, and in vivo disease modeling.