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如何“烘焙”大脑:以酵母作为模型神经元

How to bake a brain: yeast as a model neuron.

作者信息

Sarto-Jackson Isabella, Tomaska Lubomir

机构信息

Konrad Lorenz Institute for Evolution and Cognition Research, Martinstraße 12, 3400, Klosterneuburg, Austria.

Department of Genetics, Faculty of Natural Sciences, Comenius University in Bratislava, Mlynska dolina B-1, Ilkovicova 6, 842 15, Bratislava, Slovak Republic.

出版信息

Curr Genet. 2016 May;62(2):347-70. doi: 10.1007/s00294-015-0554-2. Epub 2016 Jan 18.

Abstract

More than 30 years ago Dan Koshland published an inspirational essay presenting the bacterium as a model neuron (Koshland, Trends Neurosci 6:133-137, 1983). In the article he argued that there are several similarities between neurons and bacterial cells in "how signals are processed within a cell or how this processing machinery can be modified to produce plasticity". He then explored the bacterial chemosensory system to emphasize its attributes that are analogous to information processing in neurons. In this review, we wish to expand Koshland's original idea by adding the yeast cell to the list of useful models of a neuron. The fact that yeasts and neurons are specialized versions of the eukaryotic cell sharing all principal components sets the stage for a grand evolutionary tinkering where these components are employed in qualitatively different tasks, but following analogous molecular logic. By way of example, we argue that evolutionarily conserved key components involved in polarization processes (from budding or mating in Saccharomyces cervisiae to neurite outgrowth or spinogenesis in neurons) are shared between yeast and neurons. This orthologous conservation of modules makes S. cervisiae an excellent model organism to investigate neurobiological questions. We substantiate this claim by providing examples of yeast models used for studying neurological diseases.

摘要

30多年前,丹·科什兰德发表了一篇鼓舞人心的文章,将细菌视为一种模型神经元(科什兰德,《神经科学趋势》6:133 - 137,1983年)。在文章中,他指出在“细胞内信号如何处理,或者这种处理机制如何被修改以产生可塑性”方面,神经元和细菌细胞之间存在若干相似之处。随后,他探究了细菌化学感应系统,以强调其与神经元信息处理类似的特性。在这篇综述中,我们希望通过将酵母细胞加入到神经元有用模型的列表中来扩展科什兰德的原始观点。酵母和神经元都是真核细胞的特化形式,共享所有主要成分,这一事实为一场宏大的进化修补奠定了基础,在这个过程中,这些成分被用于性质不同的任务,但遵循类似的分子逻辑。例如,我们认为酵母和神经元之间共享参与极化过程(从酿酒酵母的出芽或交配到神经元的神经突生长或突触形成)的进化保守关键成分。模块的这种直系同源保守性使得酿酒酵母成为研究神经生物学问题的优秀模式生物。我们通过提供用于研究神经疾病的酵母模型实例来证实这一说法。

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