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. 2015 Mar 27:9:112.
doi: 10.3389/fncel.2015.00112. eCollection 2015.

Can intracellular cAMP dynamics enable scalable computation?

Ravi Iyengar  1
Affiliations

Can intracellular cAMP dynamics enable scalable computation?

Ravi Iyengar. Front Cell Neurosci. .
No abstract available

Keywords: adenylyl cyclases; cAMP; circuit; computational modeling; networks.

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Figures

Figure 1
Figure 1
(A) The cAMP signaling network organized for computing. In this simplified bow-tie diagram the ability of different adenylyl cyclases to receive signals from different G proteins that couple to different types of receptors as well as from calcium is shown as the upper half. Integration of these signals can be reflected in the levels of cAMP which may represent different types of computation such as addition, subtraction or multiplication. The bottom half of the bowtie shows effectors of cAMP that include ion channels, protein kinases and guanine nucleotide exchange factors such as EPAC that respond to changes in cAMP levels and thus change cellular responses at different time spaces. (B) A schematic representation of the scaling of computation within the cAMP signaling network. Upper panel represents the cAMP cell signaling network within spines and dendrites. Computation within such a single network can alter the ability of a neuron to display a firing pattern (middle panel). When such a neuron is part of a circuit it can alter the electrical activity of the circuit that in turn can result in change in organismal behavior.
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