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  • 1
    Publication Date: 2015-09-10
    Description: Dendritic spines are the major loci of synaptic plasticity and are considered as possible structural correlates of memory. Nonetheless, systematic manipulation of specific subsets of spines in the cortex has been unattainable, and thus, the link between spines and memory has been correlational. We developed a novel synaptic optoprobe, AS-PaRac1 (activated synapse targeting photoactivatable Rac1), that can label recently potentiated spines specifically, and induce the selective shrinkage of AS-PaRac1-containing spines. In vivo imaging of AS-PaRac1 revealed that a motor learning task induced substantial synaptic remodelling in a small subset of neurons. The acquired motor learning was disrupted by the optical shrinkage of the potentiated spines, whereas it was not affected by the identical manipulation of spines evoked by a distinct motor task in the same cortical region. Taken together, our results demonstrate that a newly acquired motor skill depends on the formation of a task-specific dense synaptic ensemble.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634641/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634641/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Hayashi-Takagi, Akiko -- Yagishita, Sho -- Nakamura, Mayumi -- Shirai, Fukutoshi -- Wu, Yi I -- Loshbaugh, Amanda L -- Kuhlman, Brian -- Hahn, Klaus M -- Kasai, Haruo -- GM102924/GM/NIGMS NIH HHS/ -- NS071216/NS/NINDS NIH HHS/ -- R01 GM102924/GM/NIGMS NIH HHS/ -- R21 NS071216/NS/NINDS NIH HHS/ -- England -- Nature. 2015 Sep 17;525(7569):333-8. doi: 10.1038/nature15257. Epub 2015 Sep 9.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Laboratory of Structural Physiology, Center for Disease Biology and Integrative Medicine, Faculty of Medicine, University of Tokyo, Bunkyo-ku, Tokyo 113-0033. ; PRESTO, Japan Science and Technology Agency, 4-1-8 Honcho, Kawaguchi, Saitama 332-0012, Japan. ; CREST, Japan Science and Technology Agency, 4-1-8 Honcho, Kawaguchi, Saitama 332-0012, Japan. ; Center for Cell Analysis and Modeling, University of Connecticut Health Center, Farmington, Connecticut 06032, USA. ; Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina 27599, USA. ; Department of Biochemistry and Biophysics, University of North Carolina, Chapel Hill, North Carolina 27599, USA. ; Department of Pharmacology, University of North Carolina, Chapel Hill, North Carolina 27599, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26352471" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Dendritic Spines/physiology/radiation effects ; Hippocampus/cytology/physiology/radiation effects ; In Vitro Techniques ; Light ; Long-Term Potentiation/physiology/radiation effects ; Male ; Memory/*physiology/*radiation effects ; Mice ; Molecular Probes ; Motor Cortex/cytology/*physiology/*radiation effects ; Motor Skills/physiology/radiation effects ; Neuronal Plasticity/*physiology/*radiation effects ; Rotarod Performance Test ; Spatio-Temporal Analysis ; Synapses/*physiology/*radiation effects
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2019
    Description: 〈p〉Sensing and responding to signals is a fundamental ability of living systems, but despite substantial progress in the computational design of new protein structures, there is no general approach for engineering arbitrary new protein sensors. Here, we describe a generalizable computational strategy for designing sensor-actuator proteins by building binding sites de novo into heterodimeric protein-protein interfaces and coupling ligand sensing to modular actuation through split reporters. Using this approach, we designed protein sensors that respond to farnesyl pyrophosphate, a metabolic intermediate in the production of valuable compounds. The sensors are functional in vitro and in cells, and the crystal structure of the engineered binding site closely matches the design model. Our computational design strategy opens broad avenues to link biological outputs to new signals.〈/p〉
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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