Kinetics of G-protein–coupled receptor endosomal trafficking pathways revealed by single quantum dots
G-protein–coupled receptors (GPCRs) are the largest protein superfamily in the human genome; they comprise 30% of current drug targets and regulate diverse cellular signaling responses. The role of endosomal trafficking in GPCR signaling regulation is gaining substantial consideration. However, this...
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Published in | Proceedings of the National Academy of Sciences - PNAS Vol. 107; no. 43; pp. 18658 - 18663 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
United States
National Academy of Sciences
26.10.2010
National Acad Sciences |
Subjects | |
Online Access | Get full text |
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Summary: | G-protein–coupled receptors (GPCRs) are the largest protein superfamily in the human genome; they comprise 30% of current drug targets and regulate diverse cellular signaling responses. The role of endosomal trafficking in GPCR signaling regulation is gaining substantial consideration. However, this process remains difficult to study due to the inability to distinguish among many individual receptors, simultaneously trafficking within multiple endosomal pathways. Here we show accurate measurement of the internalization and endosomal trafficking of single groups of serotonin (5-hydroxytryptamine, 5-HT) receptors using single quantum dot (QD) probes and quantitative colocalization. We demonstrate that the presence of a QD tag does not interfere with 5-HT receptor internalization or endosomal recycling. Direct measurements show simultaneous trafficking of the 5-HT1A receptor in two distinct endosomal recycling pathways. Single-molecule imaging of endosomal trafficking will significantly impact the understanding of cellular signaling and provide powerful tools to elucidate the actions of GPCR-targeted therapeutics. |
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Bibliography: | Author contributions: K.M.F., M.F., P.G., and T.Q.V. designed research; K.M.F. and M.F. performed research; K.M.F., M.F., P.G., and T.Q.V. contributed new reagents/analytic tools; K.M.F. and M.F. analyzed data; and K.M.F., M.F., P.G., and T.Q.V. wrote the paper. Contributed by Paul Greengard, September 13, 2010 (sent for review July 26, 2010) |
ISSN: | 0027-8424 1091-6490 |
DOI: | 10.1073/pnas.1013763107 |