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细胞神经科学中的旧有创新与转变的范式

Old innovations and shifted paradigms in cellular neuroscience.

作者信息

Fesce Riccardo

机构信息

Department of Biomedical Sciences, Humanitas University Medical School, Pieve Emanuele, Italy.

出版信息

Front Cell Neurosci. 2024 Aug 21;18:1460219. doi: 10.3389/fncel.2024.1460219. eCollection 2024.

Abstract

Once upon a time the statistics of quantal release were fashionable: "" available vesicles (fusion sites), each with probability "" of releasing a quantum. The story was not so simple, a nice paradigm to be abandoned. Biophysicists, experimenting with "black films," explained the astonishing rapidity of spike-induced release: calcium can trigger the fusion of lipidic vesicles with a lipid bilayer, by masking the negative charges of the membranes. The idea passed away, buried by the discovery of NSF, SNAPs, SNARE proteins and synaptotagmin, Munc, RIM, complexin. Electrophysiology used to be a field for few adepts. Then came patch clamp, and multielectrode arrays and everybody became electrophysiologists. Now, optogenetics have blossomed, and the whole field has changed again. Nice surprise for me, when Alvarez de Toledo demonstrated that release of transmitters could occur through the transient opening of a pore between the vesicle and the plasma-membrane, no collapse of the vesicle in the membrane needed: my mentor Bruno Ceccarelli had cherished this idea ("kiss and run") and tried to prove it for 20 years. The most impressive developments have probably regarded IT, computers and all their applications; machine learning, AI, and the truly spectacular innovations in brain imaging, especially functional ones, have transformed cognitive neurosciences into a new extraordinarily prolific field, and certainly let us imagine that we may finally understand what is going on in our brains. Cellular neuroscience, on the other hand, though the large public has been much less aware of the incredible amount of information the scientific community has acquired on the cellular aspects of neuronal function, may indeed help us to eventually understand the mechanistic detail of how the brain work. But this is no more in the past, this is the future.

摘要

曾经,量子释放的统计数据很流行:“可用囊泡(融合位点),每个都有释放一个量子的概率”。事情并非如此简单,这是一个要被摒弃的美好范式。生物物理学家用“黑膜”进行实验,解释了动作电位诱导释放的惊人速度:钙可以通过掩盖膜的负电荷来触发脂质囊泡与脂质双层的融合。这个想法被遗忘了,因NSF、SNAPs、SNARE蛋白、突触结合蛋白、Munc、RIM、结合蛋白的发现而被埋葬。电生理学曾经是一个只有少数行家的领域。然后出现了膜片钳、多电极阵列,每个人都成了电生理学家。现在,光遗传学蓬勃发展,整个领域又发生了变化。当阿尔瓦雷斯·德·托莱多证明递质的释放可以通过囊泡与质膜之间孔隙的短暂开放来实现,而无需囊泡在膜中塌陷时,这对我来说是个惊喜:我的导师布鲁诺·切卡雷利一直珍视这个想法(“亲吻并跑开”),并试图证明它长达20年。最令人印象深刻的发展可能与信息技术、计算机及其所有应用有关;机器学习、人工智能以及脑成像中真正惊人的创新,尤其是功能性创新,已经将认知神经科学转变为一个新的极其多产的领域,当然也让我们想象我们最终可能会明白我们大脑中正在发生什么。另一方面,细胞神经科学,尽管大众对科学界在神经元功能的细胞方面所获得的大量信息了解得少得多,但它确实可能帮助我们最终理解大脑工作的机制细节。但这已不是过去,而是未来。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2f6/11371623/8bb29469c54d/fncel-18-1460219-g001.jpg

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