Abstract:
:A neuron is able to seamlessly respond to a number of signals, in a timely and specific manner. This process, of integrating multiple inputs, relays on the orchestration of intracellular events by signaling networks. The inherent complexity of signaling networks has made computational modeling a useful approach to understand their underlying regulatory principles. Recent advances in imaging techniques have highlighted the nonhomogeneous nature of intracellular signaling and its significant contribution to the maintenance of signal specificity. Computational modeling can provide mechanistic insight into the origins of these inhomogeneous distributions of signaling components and their role in the integrative capabilities of the neuron.
journal_name
Methods Enzymoljournal_title
Methods in enzymologyauthors
Wenderski WC,Neves SRdoi
10.1016/B978-0-12-388448-0.00014-0subject
Has Abstractpub_date
2012-01-01 00:00:00pages
105-24eissn
0076-6879issn
1557-7988pii
B978-0-12-388448-0.00014-0journal_volume
505pub_type
杂志文章abstract::Fluorescence live-cell RNA imaging to monitor the intracellular localization and dynamics of the target RNA is a challenging subject. One of the difficulties to achieve this is to establish a precise method to enable a fluorescent labeling to the target RNA in living cells. Technologies to reduce the background fluore...
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journal_title:Methods in enzymology
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journal_title:Methods in enzymology
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