Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Emergence of Anti-Cancer Drug Resistance: Exploring the Importance of the Microenvironmental Niche via a Spatial Model Read chapter Read first chapter

2015 | OriginalPaper | Chapter

A Stochastic Model of the Melanopsin Phototransduction Cascade

Authors : R. Lane Brown, Erika Camacho, Evan G. Cameron, Christina Hamlet, Kathleen A. Hoffman, Hye-Won Kang, Phyllis R. Robinson, Katherine S. Williams, Glenn R. Wyrick

Published in: Applications of Dynamical Systems in Biology and Medicine

Publisher: Springer New York

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Melanopsin is an unusual vertebrate photopigment that, in mammals, is expressed in a small subset of intrinsically photosensitive retinal ganglion cells (ipRGCs), whose signaling has been implicated in non-image forming vision, regulating such functions as circadian rhythms, pupillary light reflex, and sleep. The biochemical cascade underlying the light response in ipRGCs has not yet been fully elucidated. We developed a stochastic model of the hypothesized melanopsin phototransduction cascade and illustrated that the stochastic model can qualitatively reproduce experimental results under several different conditions. The model allows us to probe various mechanisms in the phototransduction cascade in a way that is not currently experimentally feasible.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Modeling Sympatric Speciation in Quasiperiodic Environments
next chapter Intermittent Preventive Treatment (IPT) and the Spread of Drug Resistant Malaria
Literature
1.
Berson, D.M., Castrucci, A.M., Provencio, I.: Morphology and mosaics of melanopsin-expressing retinal ganglion cell types in mice. Journal of Comparative Neurology 518(13), 2405–2422 (2010)
2.
Blasic Jr., J.R., Matos-Cruz, V., Ujla, D., Cameron, E.G., Hattar, S., Halpern, M.E., Robinson, P.R.: Identification of critical phosphorylation sites on the carboxy tail of melanopsin. Biochemistry 53(16), 2644–2649 (2014)CrossRef
3.
Cameron, E.G., Robinson, P.R.: β-arrestin-dependent deactivation of mouse melanopsin. PloS one 9(11) (2014). e113138
4.
Caruso, G., Bisegna, P., Andreucci, D., Lenoci, L., Gurevich, V.V., Hamm, H.E., DiBenedetto, E.: Identification of key factors that reduce the variability of the single photon response. Proceedings of the National Academy of Sciences 108(19), 7804–7807 (2011)CrossRef
5.
Do, M.T.H., Yau, K.W.: Intrinsically photosensitive retinal ganglion cells. Physiological Reviews 90(4), 1547–1581 (2010)CrossRef
6.
Do, M.T.H., Yau, K.W.: Adaptation to steady light by intrinsically photosensitive retinal ganglion cells. Proceedings of the National Academy of Sciences 110(18), 7470–7475 (2013)CrossRef
7.
Gillespie, D.T.: A general method for numerically simulating the stochastic time evolution of coupled chemical reactions. Journal of Computational Physics 22(4), 403–434 (1976)MathSciNetCrossRef
8.
Gillespie, D.T.: Exact stochastic simulation of coupled chemical reactions. Journal of Physical Chemistry 81(25), 2340–2361 (1977)CrossRef
9.
Gooley, J.J., Lu, J., Fischer, D., Saper, C.B.: A broad role for melanopsin in nonvisual photoreception. Journal of Neuroscience 23(18), 7093–7106 (2003)
10.
Graham, D.M., Wong, K.Y., Shapiro, P., Frederick, C., Pattabiraman, K., Berson, D.M.: Melanopsin ganglion cells use a membrane-associated rhabdomeric phototransduction cascade. Journal of Neurophysiology 99(5), 2522–2532 (2008)CrossRef
11.
Hamer, R.D., Nicholas, S.C., Tranchina, D., Lamb, T.D., Jarvinen, J.L.P.: Toward a unified model of vertebrate rod phototransduction. Visual Neuroscience 22(04), 417–436 (2005)CrossRef
12.
Hamer, R.D., Nicholas, S.C., Tranchina, D., Liebman, P.A., Lamb, T.D.: Multiple steps of phosphorylation of activated rhodopsin can account for the reproducibility of vertebrate rod single-photon responses. Journal of General Physiology 122(4), 419–444 (2003)CrossRef
13.
Hardie, R.C.: TRP channels and lipids: from Drosophila to mammalian physiology. Journal of Physiology 578(1), 9–24 (2007)CrossRef
14.
Hattar, S., Kumar, M., Park, A., Tong, P., Tung, J., Yau, K.W., Berson, D.M.: Central projections of melanopsin-expressing retinal ganglion cells in the mouse. Journal of Comparative Neurology 497(3), 326–349 (2006)CrossRef
15.
Hofmann, T., Obukhov, A.G., Schaefer, M., Harteneck, C., Gudermann, T., Schultz, G.: Direct activation of human TRPC6 and TRPC3 channels by diacylglycerol. Nature 397(6716), 259–263 (1999)CrossRef
16.
Hu, C., Hill, D.J.D., Wong, K.Y.: Intrinsic physiological properties of the five types of mouse ganglion-cell photoreceptors. Journal of Neurophysiology 109(7), 1876–1889 (2013)CrossRef
17.
Hughes, S., Jagannath, A.,, Hickey, D., Gatti, S., Wood, M., Peirson, S.N., Foster, R.G., Hankins, M.W.: Using siRNA to define functional interactions between melanopsin and multiple G protein partners. Cellular and Molecular Life Sciences (2014). DOI 10.1007/s00018-014-1664-6
18.
Hurley, J.B., Spencer, M., Niemi, G.A.: Rhodopsin phosphorylation and its role in photoreceptor function. Vision Research 38(10), 1341–1352 (1998)CrossRef
19.
Invergo, B.M., Montanucci, L., Koch, K.W., Bertranpetit, J., Dell’Orco, D.: Exploring the rate-limiting steps in visual phototransduction recovery by bottom-up kinetic modeling. Cell Communication and Signaling 11(1), 36 (2013)CrossRef
20.
Kennedy, M.J., Dunn, F.A., Hurley, J.B.: Visual pigment phosphorylation but not transducin translocation can contribute to light adaptation in zebrafish cones. Neuron 41(6), 915–928 (2004)CrossRef
21.
Korenbrot, J.I.: Speed, adaptation, and stability of the response to light in cone photoreceptors: The functional role of Ca-dependent modulation of ligand sensitivity in cGMP-gated ion channels. Journal of General Physiology 139(1), 31–56 (2012)CrossRef
22.
Kurtz, T.G.: The relationship between stochastic and deterministic models for chemical reactions. Journal of Chemical Physics 57(7), 2976–2978 (1972)CrossRef
23.
Lamb, T.D., Pugh Jr., E.N.: A quantitative account of the activation steps involved in phototransduction in amphibian photoreceptors. Journal of Physiology 449(1), 719–758 (1992)CrossRef
24.
Liu, W., Wen, W., Wei, Z., Yu, J., Ye, F., Liu, C.H., Hardie, R.C., Zhang, M.: The INAD scaffold is a dynamic, redox-regulated modulator of signaling in the Drosophila eye. Cell 145(7), 1088–1101 (2011)CrossRef
25.
Lucas, R.J.: Mammalian inner retinal photoreception. Current Biology 23(3) (2013). R125-133CrossRef
26.
Marino, S., Hogue, I.B., Ray, C.J., Kirschner, D.E.: A methodology for performing global uncertainty and sensitivity analysis in systems biology. Journal of Theoretical Biology 254(1), 178–196 (2008)MathSciNetCrossRef
27.
Mendez, A., Burns, M.E., Roca, A., Lem, J., Wu, L.W., Simon, M.I., Baylor, D.A., Chen, J.: Rapid and reproducible deactivation of rhodopsin requires multiple phosphorylation sites. Neuron 28(1), 153–164 (2000)CrossRef
28.
Palczewski, K.: Chemistry and biology of vision. Journal of Biological Chemistry 287(3), 1612–1619 (2012)CrossRef
29.
Porter, M.L., Blasic, J.R., Bok, M.J., Cameron, E.G., Pringle, T., Cronin, T.W., Robinson, P.R.: Shedding new light on opsin evolution. Proceedings of the Royal Society B: Biological Sciences (2011). Rspb.2011.1819
30.
Rao, C.V., Arkin, A.P.: Stochastic chemical kinetics and the quasi-steady-state assumption: Application to the Gillespie algorithm. Journal of Chemical Physics 118(11), 4999–5010 (2003)CrossRef
31.
Reingruber, J., Pahlberg, J., Woodruff, M.L., Sampath, A.P., Fain, G.L., Holcman, D.: Detection of single photons by toad and mouse rods. Proceedings of the National Academy of Sciences 110(48), 19,378–19,383 (2013)
32.
Schmidt, T.M., Do, M.T.H., Dacey, D., Lucas, R., Hattar, S., Matynia, A.: Melanopsin-positive intrinsically photosensitive retinal ganglion cells: From form to function. Journal of Neuroscience 31(45), 16,094–16,101 (2011)CrossRef
33.
Shen, L., Caruso, G., Bisegna, P., Andreucci, D., Gurevich, V.V., Hamm, H.E., DiBenedetto, E.: Dynamics of mouse rod phototransduction and its sensitivity to variation of key parameters. IET Systems Biology 4(1), 12–32 (2010)CrossRef
34.
Shieh, B.H., Zhu, M.Y.: Regulation of the TRP Ca2+ channel by INAD in Drosophila photoreceptors. Neuron 16(5), 991–998 (1996)CrossRef
35.
Vishnivetskiy, S.A., Raman, D., Wei, J., Kennedy, M.J., Hurley, J.B., Gurevich, V.V.: Regulation of arrestin binding by rhodopsin phosphorylation level. Journal of Biological Chemistry 282(44), 32,075–32,083 (2007)CrossRef
36.
Warren, E.J., Allen, C.N., Brown, R.L., Robinson, D.W.: Intrinsic light responses of retinal ganglion cells projecting to the circadian system. European Journal of Neuroscience 17(9), 1727–1735 (2003)CrossRef
37.
Wong, K.Y., Dunn, F.A., Berson, D.M.: Photoreceptor adaptation in intrinsically photosensitive retinal ganglion cells. Neuron 48(6), 1001–1010 (2005)CrossRef
38.
Xue, T., Do, M.T.H., Riccio, A., Jiang, Z., Hsieh, J., Wang, H.C., Merbs, S.L., Welsbie, D.S., Yoshioka, T., Weissgerber, P., Stolz, S., Flockerzi, V., Freichel, M., Simon, M.I., Clapham, D.E., Yau, K.W.: Melanopsin signalling in mammalian iris and retina. Nature 479(7371), 67–73 (2011)CrossRef
Metadata
Title
A Stochastic Model of the Melanopsin Phototransduction Cascade
Authors
R. Lane Brown
Erika Camacho
Evan G. Cameron
Christina Hamlet
Kathleen A. Hoffman
Hye-Won Kang
Phyllis R. Robinson
Katherine S. Williams
Glenn R. Wyrick
Copyright Year
2015
Publisher
Springer New York
Book
Applications of Dynamical Systems in Biology and Medicine

Print ISBN: 978-1-4939-2781-4

Electronic ISBN: 978-1-4939-2782-1

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-1-4939-2782-1_8

Premium Partner

    Image Credits