Learning from the past: evolution of GPCR functions.

@article{citeulike:1126869, abstract = {Classical methods have been recruited to determine the molecular function and the physiological relevance of G-protein-coupled receptors (GPCRs), including ligand-binding and signal transduction studies, pharmacological receptor profiling in tissues and the characterization of transgenic mouse models. Evolutionary data from both sequenced genomes and targeted retrieved orthologs are increasingly used as a source of structural information. Recent success in sequencing and functionally expressing GPCRs from fossils opens the possibility of studying signaling pathways even in extinct species. Therefore, mining evolutionary data provides an additional source for understanding the functional relevance of individual GPCRs, for interpreting naturally occurring receptor mutations in patients and for guiding structural modeling and mutagenesis studies of GPCRs.}, address = {Institute of Biochemistry, Molecular Biochemistry, Medical Faculty, University of Leipzig, Johannisallee 30, 04103 Leipzig, Germany.}, author = {Sch\"{o}neberg, Torsten and Hofreiter, Michael and Schulz, Angela and R\"{o}mpler, Holger }, citeulike-article-id = {1126869}, doi = {http://dx.doi.org/10.1016/j.tips.2007.01.001}, issn = {0165-6147}, journal = {Trends Pharmacol Sci}, keywords = {evolution, genome, gpcr}, month = {February}, posted-at = {2007-02-27 11:08:24}, priority = {2}, title = {Learning from the past: evolution of GPCR functions.}, url = {http://dx.doi.org/10.1016/j.tips.2007.01.001}, year = {2007} }

TY - JOUR ID - citeulike:1126869 L3 - citeulike-article-id:1126869 TI - Learning from the past: evolution of GPCR functions. JF - Trends Pharmacol Sci AD - Institute of Biochemistry, Molecular Biochemistry, Medical Faculty, University of Leipzig, Johannisallee 30, 04103 Leipzig, Germany. SN - 0165-6147 N2 - Classical methods have been recruited to determine the molecular function and the physiological relevance of G-protein-coupled receptors (GPCRs), including ligand-binding and signal transduction studies, pharmacological receptor profiling in tissues and the characterization of transgenic mouse models. Evolutionary data from both sequenced genomes and targeted retrieved orthologs are increasingly used as a source of structural information. Recent success in sequencing and functionally expressing GPCRs from fossils opens the possibility of studying signaling pathways even in extinct species. Therefore, mining evolutionary data provides an additional source for understanding the functional relevance of individual GPCRs, for interpreting naturally occurring receptor mutations in patients and for guiding structural modeling and mutagenesis studies of GPCRs. KW - evolution KW - genome KW - gpcr AU - Schöneberg, Torsten AU - Hofreiter, Michael AU - Schulz, Angela AU - Römpler, Holger PY - 2007/02/03/ UR - http://dx.doi.org/10.1016/j.tips.2007.01.001 ER -