TY - JOUR
T1 - Molecular membrane dynamics
T2 - Insights into synaptic function and neuropathological disease
AU - Bannai, Hiroko
N1 - Funding Information:
HB is supported by research grants from RIKEN; JST/PRESTO (grant number JPMJPR15F8 , Japan); JSPS (grant number JP12J40047), KAKENHI (grant numbers JP16K07316 , JP26117509 , JP20700300 ); the Toray Science Foundation ; Kato Memorial Bioscience Foundation ; the Uehara Memorial Foundation ; the Naito Foundation ; and the Sumitomo Foundation . The author would like to deeply thank Drs. Katsuhiko Mikoshiba, Antoine Triller, Misa Arizono, and Fumihiro Niwa for their continuous support, and two anonymous reviewers for their insightful comments.
Funding Information:
HB is supported by research grants from RIKEN; JST/PRESTO (grant number JPMJPR15F8, Japan); JSPS (grant number JP12J40047), KAKENHI (grant numbers JP16K07316, JP26117509, JP20700300); the Toray Science Foundation; Kato Memorial Bioscience Foundation; the Uehara Memorial Foundation; the Naito Foundation; and the Sumitomo Foundation. The author would like to deeply thank Drs. Katsuhiko Mikoshiba, Antoine Triller, Misa Arizono, and Fumihiro Niwa for their continuous support, and two anonymous reviewers for their insightful comments.
Publisher Copyright:
© 2017 Elsevier Ireland Ltd and Japan Neuroscience Society
PY - 2018/4
Y1 - 2018/4
N2 - The fluid mosaic model states that molecules in the plasma membrane can freely undergo lateral diffusion; however, in neurons and glia, specific membrane molecules are concentrated in cellular microdomains to overcome the randomizing effects of free diffusion. This specialized distribution of membrane molecules is crucial for various cell functions; one example is the accumulation of neurotransmitter receptors at the postsynaptic neuronal membrane, which enables efficient synaptic transmission. Quantum dot-single particle tracking (QD-SPT) is a super-resolution imaging technique that uses semiconductor nanocrystal quantum dots as fluorescent probes, and is a powerful tool for analyzing protein and lipid behavior in the plasma membrane. In this article, we review studies implementing QD-SPT in neuroscience research and important data gleaned using this technology. Recent QD-SPT experiments have provided critical insights into the mechanism and physiological relevance of membrane self-organization in neurons and astrocytes in the brain. The mobility of some membrane molecules may become abnormal in cellular models of epilepsy and Alzheimer's disease. Based on these findings, we propose that the behavior of membrane molecules reflects the condition of neurons in pathological disease states.
AB - The fluid mosaic model states that molecules in the plasma membrane can freely undergo lateral diffusion; however, in neurons and glia, specific membrane molecules are concentrated in cellular microdomains to overcome the randomizing effects of free diffusion. This specialized distribution of membrane molecules is crucial for various cell functions; one example is the accumulation of neurotransmitter receptors at the postsynaptic neuronal membrane, which enables efficient synaptic transmission. Quantum dot-single particle tracking (QD-SPT) is a super-resolution imaging technique that uses semiconductor nanocrystal quantum dots as fluorescent probes, and is a powerful tool for analyzing protein and lipid behavior in the plasma membrane. In this article, we review studies implementing QD-SPT in neuroscience research and important data gleaned using this technology. Recent QD-SPT experiments have provided critical insights into the mechanism and physiological relevance of membrane self-organization in neurons and astrocytes in the brain. The mobility of some membrane molecules may become abnormal in cellular models of epilepsy and Alzheimer's disease. Based on these findings, we propose that the behavior of membrane molecules reflects the condition of neurons in pathological disease states.
KW - Fluid mosaic model
KW - Lateral diffusion
KW - Quantum dot
KW - Single particle tracking
KW - Synapse
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U2 - 10.1016/j.neures.2017.07.007
DO - 10.1016/j.neures.2017.07.007
M3 - Review article
C2 - 28826905
AN - SCOPUS:85028332538
SN - 0168-0102
VL - 129
SP - 47
EP - 56
JO - Neuroscience Research
JF - Neuroscience Research
ER -