Literature DB >> 10801324

Phosphorylation modulates the affinity of light-activated rhodopsin for G protein and arrestin.

S K Gibson1, J H Parkes, P A Liebman.   

Abstract

Reduced effector activity and binding of arrestin are widely accepted consequences of GPCR phosphorylation. However, the effect of receptor multiphosphorylation on G protein activation and arrestin binding parameters has not previously been quantitatively examined. We have found receptor phosphorylation to alter both G protein and arrestin binding constants for light-activated rhodopsin in proportion to phosphorylation stoichiometry. Rod disk membranes containing different average receptor phosphorylation stoichiometries were combined with G protein or arrestin, and titrated with a series of brief light flashes. Binding of G(t) or arrestin to activated rhodopsin augmented the 390 nm MII optical absorption signal by stabilizing MII as MII.G or MII.Arr. The concentration of active arrestin or G(t) and the binding constant of each to MII were determined using a nonlinear least-squares (Simplex) reaction model analysis of the titration data. The binding affinity of phosphorylated MII for G(t) decreased while that for arrestin increased with each added phosphate. G(t) binds more tightly to MII at phosphorylation levels less than or equal to two phosphates per rhodopsin; at higher phosphorylation levels, arrestin binding is favored. However, arrestin was found to bind much more slowly than G(t) at all phosphorylation levels, perhaps allowing time for phosphorylation to gradually reduce receptor-G protein interaction before arrestin capping of rhodopsin. Sensitivity of the binding constants to ionic strength suggests that a strong membrane electrostatic component is involved in both the reduction of G(t) binding and the increase of arrestin binding with increasing rhodopsin phosphorylation.

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Year:  2000        PMID: 10801324     DOI: 10.1021/bi991857f

Source DB:  PubMed          Journal:  Biochemistry        ISSN: 0006-2960            Impact factor:   3.162


  30 in total

1.  Normal light response, photoreceptor integrity, and rhodopsin dephosphorylation in mice lacking both protein phosphatases with EF hands (PPEF-1 and PPEF-2).

Authors:  P Ramulu; M Kennedy; W H Xiong; J Williams; M Cowan; D Blesh; K W Yau; J B Hurley; J Nathans
Journal:  Mol Cell Biol       Date:  2001-12       Impact factor: 4.272

Review 2.  Speed, sensitivity, and stability of the light response in rod and cone photoreceptors: facts and models.

Authors:  Juan I Korenbrot
Journal:  Prog Retin Eye Res       Date:  2012-05-29       Impact factor: 21.198

Review 3.  Lessons from photoreceptors: turning off g-protein signaling in living cells.

Authors:  Marie E Burns; Edward N Pugh
Journal:  Physiology (Bethesda)       Date:  2010-04

4.  Toward a unified model of vertebrate rod phototransduction.

Authors:  R D Hamer; S C Nicholas; D Tranchina; T D Lamb; J L P Jarvinen
Journal:  Vis Neurosci       Date:  2005 Jul-Aug       Impact factor: 3.241

Review 5.  Phototransduction in mouse rods and cones.

Authors:  Yingbin Fu; King-Wai Yau
Journal:  Pflugers Arch       Date:  2007-01-17       Impact factor: 3.657

6.  The dynamics of phosphodiesterase activation in rods and cones.

Authors:  Jürgen Reingruber; David Holcman
Journal:  Biophys J       Date:  2007-12-07       Impact factor: 4.033

7.  Light-induced conformational changes of rhodopsin probed by fluorescent alexa594 immobilized on the cytoplasmic surface.

Authors:  Y Imamoto; M Kataoka; F Tokunaga; K Palczewski
Journal:  Biochemistry       Date:  2000-12-12       Impact factor: 3.162

Review 8.  The functional cycle of visual arrestins in photoreceptor cells.

Authors:  Vsevolod V Gurevich; Susan M Hanson; Xiufeng Song; Sergey A Vishnivetskiy; Eugenia V Gurevich
Journal:  Prog Retin Eye Res       Date:  2011-07-29       Impact factor: 21.198

9.  Multiple steps of phosphorylation of activated rhodopsin can account for the reproducibility of vertebrate rod single-photon responses.

Authors:  R D Hamer; S C Nicholas; D Tranchina; P A Liebman; T D Lamb
Journal:  J Gen Physiol       Date:  2003-09-15       Impact factor: 4.086

10.  Maximally reliable Markov chains under energy constraints.

Authors:  Sean Escola; Michael Eisele; Kenneth Miller; Liam Paninski
Journal:  Neural Comput       Date:  2009-07       Impact factor: 2.026

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