Modeling and Stochastic Analysis of the Single Photon Response

Jürgen Reingruber and David Holcman ()
Additional contact information
Jürgen Reingruber: Ecole Normale Supérieure, INSERM U1024; Applied Mathematics and Computational Biology, IBENS
David Holcman: Applied Mathematics and Computational Biology, Institute for Biology École Normale Supérieure

A chapter in Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology, 2017, pp 315-348 from Springer

Abstract: Abstract Rod photoreceptors have the remarkable ability to respond to a single photon. A photon absorption triggers the activation of a receptor which is subsequently amplified by the activation of only 5–10 molecules. Because of such low numbers, the activation process has to be proceed in a coordinated manner in order to generate a reproducible signal. In addition, this signal has to overcome the background noise generated by spontaneous activations and deactivation of millions of enzymatic molecules. We review here recent modeling and stochastic analysis of the molecular events underlying the single photon response and the background noise. The homogenization procedure of the rod geometry is the first step for reducing the three into one dimension, so that numerical simulations become possible and reveal the fundamental relation between proteins concentrations, biochemical rate constant, and rod geometry. The stochastic modeling is used to analyze electrophysiological recordings and to extract in vivo biochemical constants. Modeling phototransduction has evolved at the far front of cell transduction and system biology and thus the approach presented here can be applied to many transduction mechanisms.

Date: 2017
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-62627-7_14

Ordering information: This item can be ordered from
http://www.springer.com/9783319626277

DOI: 10.1007/978-3-319-62627-7_14

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().