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Autor/inn/enZhang, Yili; Smolen, Paul; Alberini, Cristina M.; Baxter, Douglas A.; Byrne, John H.
TitelComputational Model of a Positive BDNF Feedback Loop in Hippocampal Neurons Following Inhibitory Avoidance Training
QuelleIn: Learning & Memory, 23 (2016) 12, S.714-722 (9 Seiten)
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1072-0502
DOI10.1101/lm.042044.116
SchlagwörterInhibition; Animals; Animal Behavior; Brain Hemisphere Functions; Molecular Structure; Memory; Equations (Mathematics); Models; Simulation; Feedback (Response); Training
AbstractInhibitory avoidance (IA) training in rodents initiates a molecular cascade within hippocampal neurons. This cascade contributes to the transition of short- to long-term memory (i.e., consolidation). Here, a differential equation-based model was developed to describe a positive feedback loop within this molecular cascade. The feedback loop begins with an IA-induced release of brain-derived neurotrophic factor (BDNF), which in turn leads to rapid phosphorylation of the cAMP response element-binding protein (pCREB), and a subsequent increase in the level of the ß isoform of the CCAAT/enhancer binding protein (C/EBPß). Increased levels of C/EBPß lead to increased "bdnf" expression. Simulations predicted that an empirically observed delay in the BDNF-pCREB-C/EBPß feedback loop has a profound effect on the dynamics of consolidation. The model also predicted that at least two independent self-sustaining signaling pathways downstream from the BDNF-pCREB-C/EBPß feedback loop contribute to consolidation. Currently, the nature of these downstream pathways is unknown. (As Provided).
AnmerkungenCold Spring Harbor Laboratory Press. 500 Sunnyside Boulevard, Woodbury, NY 11797-2924. Tel: 800-843-4388; Tel: 516-367-8800; Fax: 516-422-4097; e-mail: cshpres@cshl.edu; Web site: http://learnmem.cshlp.org
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2020/1/01
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