Skip to main content

Brownian Models of Chemical Reactions in Microdomains

  • Chapter
  • First Online:
Book cover Brownian Dynamics at Boundaries and Interfaces

Part of the book series: Applied Mathematical Sciences ((AMS,volume 186))

  • 2083 Accesses

Abstract

Biological microstructures such as synapses, dendritic spines, subcellular domains, sensor cells, and many other structures are regulated by chemical reactions that involve only a small number of molecules, that is, between a few and up to thousands of molecules. Traditional chemical kinetics theory may provide an inadequate description of chemical reactions in such microdomains. Models with a small number of diffusers can be used to describe noise due to gating of ionic channels by random binding and unbinding of ligands in biological sensor cells, such as olfactory cilia, photoreceptors, and hair cells in the cochlea. A chemical reaction that involves only 10–100 proteins can cause a qualitative transition in the physiological behavior of a given part of a cell. Large fluctuations should be expected in a reaction if so few molecules are involved, both in transient and persistent binding and unbinding reactions. In the latter case, large fluctuations in the number of bound molecules can force the physiological state to change all the time, unless there is a specific mechanism that prevents the switch and stabilizes the physiological state. Therefore, a theory of chemical kinetics of such reactions is needed to predict the threshold at which switches occur and to explain how the physiological function is regulated in molecular terms at a subcellular level.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Bibliography

  • Berne, B.J. and R. Pecora (1976), Dynamic Light Scattering with Applications to Chemistry, Biology, and Physics. Wiley-Interscience NY.

    Google Scholar 

  • Blomberg, F., R.S. Cohen, and P. Siekevitz (1977), “The structure of postsynaptic densities isolated from dog cerebral cortex, II. Characterization and arrangement of some of the major protein within the structure,” J. Cell Biol., 74 (1), 204–225.

    Google Scholar 

  • Bonhoeffer, T. and R. Yuste (2002), “Spine motility: phenomenology, mechanisms, and function,” Neuron, 35 (6), 1019–1027.

    Article  Google Scholar 

  • Chandrasekhar, S. (1943), “Stochastic Problems In Physics and Astronomy,” Rev. Mod. Phys., 15, 2–89.

    Article  Google Scholar 

  • Crick, F. “Do dendritic spines twitch?” Trends Neurosci, 5, 44–46.

    Google Scholar 

  • Dunaevsky, A., A. Tashiro, A. Majewska, C. Mason, R. Yuste (1999), “Developmental regulation of spine motility in the mammalian central nervous system,” PNAS, 96 (23), 13438–13443.

    Article  Google Scholar 

  • Fischer, M., S. Kaech, D. Knutti, A. Matus (1998, “Rapid actin-based plasticity in dendritic spines,” Neuron, 20 (5), 847–854).

    Google Scholar 

  • Fischer, M., S. Kaech, U. Wagner, H. Brinkhaus, A. Matus (2000), “Glutamate receptors regulate actin-based plasticity in dendritic spines,” Nat. Neurosci., 3 (9), 887–894.

    Article  Google Scholar 

  • Hänggi, P., P. Talkner, and M. Borkovec (1990), “50 years after Kramers,” Rev. Mod. Phys., 62, 251–341.

    Article  Google Scholar 

  • Haynes, L.W., A.R. Kay, K.W. Yau (1986), “Single cyclic GMP-activated channel activity in excised patches of rod outer segment membrane,” Nature, 321 (6065), 66–70.

    Article  Google Scholar 

  • Holcman, D., Z. Schuss, and E. Korkotian (2004), “Calcium dynamics in dendritic spines and spine motility,” Biophys J., 87, 81–91.

    Article  Google Scholar 

  • Kandel, E.R., J.H. Schwartz, T.M. Jessell (2000), Principles of Neural Science, McGraw-Hill, New York, 4th edition.

    Google Scholar 

  • Koch, C. (1999), Biophysics of Computation, Oxford University Press, NY.

    Google Scholar 

  • Koch, C. and A. Zador (1993), “The function of dendritic spines: Devices subserving biochemical rather than electrical compartmentalization,” J. Neurosci., 13, 413–422.

    Google Scholar 

  • Koch, C. and I. Segev (editors) (2001), Methods in Neuronal Modeling (3rd printing), MIT Press, Cambridge, MA.

    Google Scholar 

  • Korkotian, E. and M. Segal (2001), “Spike-associated fast contraction of dendritic spines in cultured hippocampal neurons,” Neuron, 30 (3), 751–758.

    Article  Google Scholar 

  • Kramers, H.A. (1940), “Brownian motion in field of force and diffusion model of chemical reaction,” Physica, 7, 284–304.

    Article  MathSciNet  MATH  Google Scholar 

  • Landau, L.D. and E.M. Lifshitz (1975), Fluid Mechanics, Pergamon Press, Elmsford, NY.

    Google Scholar 

  • Lisman, J. (1994), “The CAM kinase II hypothesis for the storage of synaptic memory,” Trends Neurosci., 10, 406–412.

    Article  Google Scholar 

  • Lisman, J. (2003), “Long-term potentiation: outstanding questions and attempted synthesis,” Philos. Trans. R. Soc. Lond. B Biol. Sci., 29 (358(1432)), 829–842.

    Google Scholar 

  • Majewska, A., A. Tashiro, and R. Yuste (2000a), “Regulation of spine calcium dynamics by rapid spine motility,” J. Neurosci., 20 (22), 8262–8268.

    Google Scholar 

  • Majewska, A., E. Brown, J. Ross, R. Yuste (2000b), “Mechanisms of calcium decay kinetics in hippocampal spines: role of spine calcium pumps and calcium diffusion through the spine neck in biochemical compartmentalization,” J. Neurosci., 20 (5), 1722–1734.

    Google Scholar 

  • Malenka, R.C., J.A. Kauer, D.J. Perkel, and R.A. Nicoll (1989), “The impact of postsynaptic calcium on synaptic transmission—its role in long-term potentiation,” Trends Neurosci., 12 (11), 444–450.

    Article  Google Scholar 

  • Matkowsky, B.J. and Z. Schuss (1977), “The exit problem for randomly perturbed dynamical systems,” SIAM J. Appl. Math., 33, 365–382.

    Article  MathSciNet  MATH  Google Scholar 

  • Morales, M., E. Fifkova (1989), “Distribution of MAP2 in dendritic spines and its colocalization with actin. An immunogold electron-microscope study,” Cell Tissue Res., 256 (3), 447–456.

    Google Scholar 

  • Nadler, B., T. Naeh, and Z. Schuss (2002), “The stationary arrival process of diffusing particles from a continuum to an absorbing boundary is Poissonian,” SIAM J. Appl. Math., 62 (2), 433–447.

    Article  MathSciNet  Google Scholar 

  • Nimchinsky, E.A., B.L. Sabatini, K. Svoboda (2002), “Structure and function of dendritic spines,” Annu. Rev. Physiol., 64, 313–335.

    Article  Google Scholar 

  • Picones, A. and J.I. Korenbrot (1994), “Analysis of fluctuations in the CGMP-dependent currents of cone photoreceptor outer segments,” Biophys. J. 66, (2, Part 1), 360–365.

    Google Scholar 

  • Ramón y Cajal, S. (1909), “Les nouvelles idées sur la structure du système nerveux chez l’homme et chez les vertébrés,” Transl. L. Azouly, Malaine, Paris, France. “New ideas on the structure of the nervous system of man and vertebrates,” Transl. N. & N.L. Swanson, MIT Press, Cambridge, MA 1991.

    Google Scholar 

  • Rieke, F. and D.A. Baylor (1996), “Molecular origin of continuous dark noise in rod photoreceptors,” Biophys J, 71, 2553–2572.

    Article  Google Scholar 

  • Sabatini, B.L., M. Maravall, and K. Svoboda (2001), “Ca2 +  signalling in dendritic spines,” Curr. Opin. Neurobiol., 11 (3), 349–356.

    Article  Google Scholar 

  • Schuss, Z. (2010b), Theory and Applications of Stochastic Processes, and Analytical Approach, Springer series on Applied Mathematical Sciences 170, NY.

    Google Scholar 

  • Segev, I. and W. Rall (1988), “Computational study of an excitable dendritic spine,” J. Neurophysiology, 60 (6), 499–523.

    Google Scholar 

  • Shepherd, G.M. (1996), “The dendritic spine: a multi-functional integrative unit,” J. Neurophysiology, 75 (6), 2197–2210.

    Google Scholar 

  • Volfovsky, N., H. Parnas, M. Segal, and E. Korkotian (1999), “Geometry of dendritic spines affects calcium dynamics in hippocampal neurons: theory and experiments,” J. Neurophysiol., 82, 450–454.

    Google Scholar 

  • Yuste, R. and W. Denk (1995), “Dendritic spines as basic functional units of neuronal integration,” Nature, 375 (6533), 682–684.

    Article  Google Scholar 

  • Zador, A., C. Koch, and T.H. Brown (1990), “Biophysical model of a Hebbian synapse,” PNAS, 87, 6718–6722.

    Article  Google Scholar 

  • Zucker, R.S. and W.G. Regehr (2002), “Short-term synaptic plasticity,” Ann. Rev. Physiol., 64, 355–405.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Author

About this chapter

Cite this chapter

Schuss, Z. (2013). Brownian Models of Chemical Reactions in Microdomains. In: Brownian Dynamics at Boundaries and Interfaces. Applied Mathematical Sciences, vol 186. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7687-0_5

Download citation

Publish with us

Policies and ethics