Literature DB >> 12975449

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

R D Hamer1, S C Nicholas, D Tranchina, P A Liebman, T D Lamb.   

Abstract

Single-photon responses (SPRs) in vertebrate rods are considerably less variable than expected if isomerized rhodopsin (R*) inactivated in a single, memoryless step, and no other variability-reducing mechanisms were available. We present a new stochastic model, the core of which is the successive ratcheting down of R* activity, and a concomitant increase in the probability of quenching of R* by arrestin (Arr), with each phosphorylation of R* (Gibson, S.K., J.H. Parkes, and P.A. Liebman. 2000. Biochemistry. 39:5738-5749.). We evaluated the model by means of Monte-Carlo simulations of dim-flash responses, and compared the response statistics derived from them with those obtained from empirical dim-flash data (Whitlock, G.G., and T.D. Lamb. 1999. Neuron. 23:337-351.). The model accounts for four quantitative measures of SPR reproducibility. It also reproduces qualitative features of rod responses obtained with altered nucleotide levels, and thus contradicts the conclusion that such responses imply that phosphorylation cannot dominate R* inactivation (Rieke, F., and D.A. Baylor. 1998a. Biophys. J. 75:1836-1857; Field, G.D., and F. Rieke. 2002. Neuron. 35:733-747.). Moreover, the model is able to reproduce the salient qualitative features of SPRs obtained from mouse rods that had been genetically modified with specific pathways of R* inactivation or Ca2+ feedback disabled. We present a theoretical analysis showing that the variability of the area under the SPR estimates the variability of integrated R* activity, and can provide a valid gauge of the number of R* inactivation steps. We show that there is a heretofore unappreciated tradeoff between variability of SPR amplitude and SPR duration that depends critically on the kinetics of inactivation of R* relative to the net kinetics of the downstream reactions in the cascade. Because of this dependence, neither the variability of SPR amplitude nor duration provides a reliable estimate of the underlying variability of integrated R* activity, and cannot be used to estimate the minimum number of R* inactivation steps. We conclude that multiple phosphorylation-dependent decrements in R* activity (with Arr-quench) can confer the observed reproducibility of rod SPRs; there is no compelling need to invoke a long series of non-phosphorylation dependent state changes in R* (as in Rieke, F., and D.A. Baylor. 1998a. Biophys. J. 75:1836-1857; Field, G.D., and F. Rieke. 2002. Neuron. 35:733-747.). Our analyses, plus data and modeling of others (Rieke, F., and D.A. Baylor. 1998a. Biophys. J. 75:1836-1857; Field, G.D., and F. Rieke. 2002. Neuron. 35:733-747.), also argue strongly against either feedback (including Ca2+-feedback) or depletion of any molecular species downstream to R* as the dominant cause of SPR reproducibility.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 12975449      PMCID: PMC1480412          DOI: 10.1085/jgp.200308832

Source DB:  PubMed          Journal:  J Gen Physiol        ISSN: 0022-1295            Impact factor:   4.086


  60 in total

1.  Maximal rate and nucleotide dependence of rhodopsin-catalyzed transducin activation: initial rate analysis based on a double displacement mechanism.

Authors:  M Heck; K P Hofmann
Journal:  J Biol Chem       Date:  2000-12-14       Impact factor: 5.157

2.  The gain of rod phototransduction: reconciliation of biochemical and electrophysiological measurements.

Authors:  I B Leskov; V A Klenchin; J W Handy; G G Whitlock; V I Govardovskii; M D Bownds; T D Lamb; E N Pugh; V Y Arshavsky
Journal:  Neuron       Date:  2000-09       Impact factor: 17.173

3.  Rapid and reproducible deactivation of rhodopsin requires multiple phosphorylation sites.

Authors:  A Mendez; M E Burns; A Roca; J Lem; L W Wu; M I Simon; D A Baylor; J Chen
Journal:  Neuron       Date:  2000-10       Impact factor: 17.173

4.  Multiple phosphorylation of rhodopsin and the in vivo chemistry underlying rod photoreceptor dark adaptation.

Authors:  M J Kennedy; K A Lee; G A Niemi; K B Craven; G G Garwin; J C Saari; J B Hurley
Journal:  Neuron       Date:  2001-07-19       Impact factor: 17.173

5.  RGS9-G beta 5 substrate selectivity in photoreceptors. Opposing effects of constituent domains yield high affinity of RGS interaction with the G protein-effector complex.

Authors:  N P Skiba; K A Martemyanov; A Elfenbein; J A Hopp; A Bohm; W F Simonds; V Y Arshavsky
Journal:  J Biol Chem       Date:  2001-08-08       Impact factor: 5.157

6.  Membrane protein diffusion sets the speed of rod phototransduction.

Authors:  P D Calvert; V I Govardovskii; N Krasnoperova; R E Anderson; J Lem; C L Makino
Journal:  Nature       Date:  2001-05-03       Impact factor: 49.962

7.  Interaction between photoexcited rhodopsin and peripheral enzymes in frog retinal rods. Influence on the postmetarhodopsin II decay and phosphorylation rate of rhodopsin.

Authors:  C Pfister; H Kühn; M Chabre
Journal:  Eur J Biochem       Date:  1983-11-15

8.  Slowed recovery of rod photoresponse in mice lacking the GTPase accelerating protein RGS9-1.

Authors:  C K Chen; M E Burns; W He; T G Wensel; D A Baylor; M I Simon
Journal:  Nature       Date:  2000-02-03       Impact factor: 49.962

9.  Time course and Ca(2+) dependence of sensitivity modulation in cyclic GMP-gated currents of intact cone photoreceptors.

Authors:  T I Rebrik; E A Kotelnikova; J I Korenbrot
Journal:  J Gen Physiol       Date:  2000-10       Impact factor: 4.086

10.  Phosphorylation at sites near rhodopsin's carboxyl-terminus regulates light initiated cGMP hydrolysis.

Authors:  J L Miller; E A Dratz
Journal:  Vision Res       Date:  1984       Impact factor: 1.886

View more
  41 in total

1.  G-protein betagamma-complex is crucial for efficient signal amplification in vision.

Authors:  Alexander V Kolesnikov; Loryn Rikimaru; Anne K Hennig; Peter D Lukasiewicz; Steven J Fliesler; Victor I Govardovskii; Vladimir J Kefalov; Oleg G Kisselev
Journal:  J Neurosci       Date:  2011-06-01       Impact factor: 6.167

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.  A kinetic analysis of mouse rod and cone photoreceptor responses.

Authors:  Jürgen Reingruber; Norianne T Ingram; Khris G Griffis; Gordon L Fain
Journal:  J Physiol       Date:  2020-07-14       Impact factor: 5.182

5.  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

6.  G-protein-coupled enzyme cascades have intrinsic properties that improve signal localization and fidelity.

Authors:  Sharad Ramanathan; Peter B Detwiler; Anirvan M Sengupta; Boris I Shraiman
Journal:  Biophys J       Date:  2005-01-28       Impact factor: 4.033

7.  A clockwork hypothesis: synaptic release by rod photoreceptors must be regular.

Authors:  Stan Schein; Kareem M Ahmad
Journal:  Biophys J       Date:  2005-09-16       Impact factor: 4.033

8.  Dynamics of mouse rod phototransduction and its sensitivity to variation of key parameters.

Authors:  L Shen; G Caruso; P Bisegna; D Andreucci; V V Gurevich; H E Hamm; E DiBenedetto
Journal:  IET Syst Biol       Date:  2010-01       Impact factor: 1.615

9.  Kinetics of turn-offs of frog rod phototransduction cascade.

Authors:  Luba A Astakhova; Michael L Firsov; Victor I Govardovskii
Journal:  J Gen Physiol       Date:  2008-11       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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.