Postsynaptic signal transduction models for long-term potentiation and depression

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Manninen, Tiina (author)

Postsynaptic signal transduction models for long-term potentiation and depression

Article/chapterEnglish2010

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2010
Frontiers Media SA,2010
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LIBRIS-ID:oai:DiVA.org:kth-32011
https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-32011URI
https://doi.org/10.3389/fncom.2010.00152DOI
http://kipublications.ki.se/Default.aspx?queryparsed=id:122186448URI

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Language:English
Summary in:English

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Subject category:ref swepub-contenttype
Subject category:for swepub-publicationtype

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QC 20110407
More than a hundred biochemical species, activated by neurotransmitters binding to transmembrane receptors, are important in long-term potentiation (LTP) and long-term depression (LTD). To investigate which species and interactions are critical for synaptic plasticity, many computational postsynaptic signal transduction models have been developed. The models range from simple models with a single reversible reaction to detailed models with several hundred kinetic reactions. In this study, more than a hundred models are reviewed, and their features are compared and contrasted so that similarities and differences are more readily apparent. The models are classified according to the type of synaptic plasticity that is modeled (LTP or LTD) and whether they include diffusion or electrophysiological phenomena. Other characteristics that discriminate the models include the phase of synaptic plasticity modeled (induction, expression, or maintenance) and the simulation method used (deterministic or stochastic). We find that models are becoming increasingly sophisticated, by including stochastic properties, integrating with electrophysiological properties of entire neurons, or incorporating diffusion of signaling molecules. Simpler models continue to be developed because they are computationally efficient and allow theoretical analysis. The more complex models permit investigation of mechanisms underlying specific properties and experimental verification of model predictions. Nonetheless, it is difficult to fully comprehend the evolution of these models because (1) several models are not described in detail in the publications, (2) only a few models are provided in existing model databases, and (3) comparison to previous models is lacking. We conclude that the value of these models for understanding molecular mechanisms of synaptic plasticity is increasing and will be enhanced further with more complete descriptions and sharing of the published models.

Subject headings and genre

MEDICIN OCH HÄLSOVETENSKAP Medicinska och farmaceutiska grundvetenskaper Neurovetenskaper hsv//swe
MEDICAL AND HEALTH SCIENCES Basic Medicine Neurosciences hsv//eng
computational model
kinetic model
long-term depression
long-term potentiation
plasticity
postsynaptic signal transduction model
Neurobiology
Neurobiologi

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Hituri, Katri (author)
Hellgren Kotaleski, JeanetteKTH,Beräkningsbiologi, CB(Swepub:kth)u13pnwqn (author)
Blackwell, Kim T. (author)
Linne, Marja-Leena (author)
KTHBeräkningsbiologi, CB (creator_code:org_t)

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In:Frontiers in Computational Neuroscience: Frontiers Media SA4, s. 152-1662-5188

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By the author/editor: Manninen, Tiina; Hituri, Katri; Hellgren Kotales ...; Blackwell, Kim T ...; Linne, Marja-Lee ...

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MEDICAL AND HEALTH SCIENCES: MEDICAL AND HEAL ...; and Basic Medicine; and Neurosciences

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By the university: Royal Institute of Technology; Karolinska Institutet

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