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Modeling Intracellu...
Modeling Intracellular Signaling Underlying Striatal Function in Health and Disease
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- Nair, Anu G. (författare)
- KTH,Beräkningsbiologi, CB,Department of Computational Biology. Royal Institute of Technology
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- Gutierrez-Arenas, Omar (författare)
- Uppsala universitet,KTH,Beräkningsbiologi, CB,Centrum för forsknings- och bioetik,Department of Computational Biology. Royal Institute of Technology
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- Eriksson, Olivia (författare)
- Stockholms universitet,Numerisk analys och datalogi (NADA)
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- Jauhiainen, Alexandra (författare)
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm
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- Blackwell, Kim T. (författare)
- Krasnow Institute for Advanced Study, George Mason University, Fairfax, VA, USA
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- Hällgren Kotaleski, Jeanette (författare)
- Karolinska Institutet,KTH,Beräkningsbiologi, CB
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(creator_code:org_t)
- Amsterdam : Elsevier, 2014
- 2014
- Engelska.
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Serie: Progress in Molecular Biology and Translational Science, 1878-0814 ; 123
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Ingår i: Computational Neuroscience. - Amsterdam : Elsevier. - 9780123978974 ; 123, s. 277-304
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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http://kipublication...
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https://urn.kb.se/re...
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https://urn.kb.se/re...
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Abstract
Ämnesord
Stäng
- Striatum, which is the input nucleus of the basal ganglia, integrates cortical and thalamic glutamatergic inputs with dopaminergic afferents from the substantia nigra pars cornpacta. The combination of dopamine and glutamate strongly modulates molecular and cellular properties of striatal neurons and the strength of corticostriatal synapses. These actions are performed via intracellular signaling networks, containing several intertwined feedback loops. Understanding the role of dopamine and other neuromodulators requires the development of quantitative dynamical models for describing the intracellular signaling, in order to provide precise unambiguous descriptions and quantitative predictions. Building such models requires integration of data from multiple data sources containing information regarding the molecular interactions, the strength of these interactions, and the subcellular localization of the molecules. Due to the uncertainty, variability, and sparseness of these data, parameter estimation techniques are critical for inferring or constraining the unknown parameters, and sensitivity analysis evaluates which parameters are most critical for a given observed macroscopic behavior. Here, we briefly review the modeling approaches and tools that have been used to investigate biochemical signaling in the striatum, along with some of the models built around striatum. We also suggest a future direction for the development of such models from the, now becoming abundant, high-throughput data.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Medicinska och farmaceutiska grundvetenskaper -- Neurovetenskaper (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Basic Medicine -- Neurosciences (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Bioinformatics (hsv//eng)
- NATURVETENSKAP -- Biologi -- Biokemi och molekylärbiologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Biochemistry and Molecular Biology (hsv//eng)
- NATURVETENSKAP -- Biologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences (hsv//eng)
Nyckelord
- DARPP32
- Dopamine
- Kinetic models
- LTP
- Medium spiny neurons
- Neural data integration
- Postsynaptic signaling
- Striatum
- Synaptic plasticity
Publikations- och innehållstyp
- ref (ämneskategori)
- kap (ämneskategori)
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