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Negative Coupling as a Mechanism for Signal Propagation between C2 Domains of Synaptotagmin I

Overview of attention for article published in PLOS ONE, October 2012
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Title
Negative Coupling as a Mechanism for Signal Propagation between C2 Domains of Synaptotagmin I
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0046748
Pubmed ID
Authors

Michael E. Fealey, Jacob W. Gauer, Sarah C. Kempka, Katie Miller, Kamakshi Nayak, R. Bryan Sutton, Anne Hinderliter

Abstract

Synaptotagmin I (Syt I) is a vesicle-localized protein implicated in sensing the calcium influx that triggers fast synchronous release of neurotransmitter. How Syt I utilizes its two C2 domains to integrate signals and mediate neurotransmission has continued to be a controversial area of research, though prevalent hypotheses favor independent function. Using differential scanning calorimetry and fluorescence lifetime spectroscopy in a thermodynamic denaturation approach, we tested an alternative hypothesis in which both domains interact to cooperatively disseminate binding information. The free energy of stability was determined for C2A, C2B, and C2AB constructs by globally fitting both methods to a two-state model of unfolding. By comparing the additive free energies of C2A and C2B with C2AB, we identified a negative coupling interaction between the C2 domains of Syt I. This interaction not only provides a mechanistic means for propagating signals, but also a possible means for coordinating the molecular events of neurotransmission.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Unknown 23 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 29%
Student > Master 4 17%
Researcher 4 17%
Student > Bachelor 3 13%
Professor > Associate Professor 2 8%
Other 2 8%
Unknown 2 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 29%
Chemistry 6 25%
Biochemistry, Genetics and Molecular Biology 4 17%
Medicine and Dentistry 2 8%
Neuroscience 1 4%
Other 0 0%
Unknown 4 17%