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This article is part of the supplement: Nineteenth Annual Computational Neuroscience Meeting: CNS*2010

Open Access Poster Presentation

Functional localization of ion channel densities from calcium fluorescence

Jay H Raol* and Steven J Cox

Author Affiliations

Computational and Applied Mathematics, Rice University, Houston, TX, 77005, USA

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BMC Neuroscience 2010, 11(Suppl 1):P155  doi:10.1186/1471-2202-11-S1-P155


The electronic version of this article is the complete one and can be found online at: http://www.biomedcentral.com/1471-2202/11/S1/P155


Published:20 July 2010

© 2010 Raol and Cox; licensee BioMed Central Ltd.

Poster Presentation

Single cells learn by tuning their synaptic conductances and redistributing their excitable machinery. To reveal its learning rules, one must therefore know how the cell remaps its ion channels in response to physiological stimuli. We exploit the recent ability to dynamically monitor cytosolic dye-buffered calcium, throughout rat hippocampal pyramidal cells in slice, with sub-millisecond temporal resolution and sub-micron spatial resolution [1] in the construction of a functional map of calcium and potassium channel densities.

In the process we pose and solve [2] a number of inverse problems associated with converting dye recordings to current and voltage information through a series of experimental procedures:

(1) Focal uncaging of cytosolic calcium in the presence of dye to determine dye kinetics and intracellular calcium extrusion rates,

(2) Suprathreshold current injection at the soma to infer calcium current from calcium fluorescence using (1),

(3) Recovery of the calcium channel density and voltage information from the calcium current in (2),

(4) Recovery of various potassium channel densities through voltage information in (3) and the selective use of potassium channel blockers.

We demonstrate the validity of this algorithm on synthetic data generated from channel densities and morphologies consistent with previous experimental results [3]. Finally, we explore the robustness of this algorithm to experimental error and noise.

Acknowledgements

Biomedical Discovery Training Program of the W. M. Keck Center for Interdisciplinary Bioscience Training of the Gulf Coast Consortia (NIH Grant No. 1 T90 DA022885 and 1 R90 DA023418) and VIGRE award to the departments of Computational and Applied Mathematics, Math and Statistics (NSF DMS-0240058)

References

  1. Iyer V, Hoogland T, Saggau P: Fast functional imaging of single neurons using random-access multiphoton microscopy.

    J Neurophysiol 2006, 95(1):535-545. PubMed Abstract | Publisher Full Text OpenURL

  2. Cox SJ: An adjoint method for channel localization.

    Math Med Biol 2006, 23(2):139-152. PubMed Abstract | Publisher Full Text OpenURL

  3. Magee JC: Dendritic voltage-gated ion channels. In Dendrites. 2nd edition. Edited by Stuart G, Spruston N, Hauser M.. New York: Oxford Univ. Press; 2008:225-250. OpenURL