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基因组学和蛋白质组学在解决大脑复杂性方面的应用

Genomics and proteomics in solving brain complexity.

作者信息

Kadakkuzha Beena M, Puthanveettil Sathyanarayanan V

机构信息

Department of Neuroscience, The Scripps Research Institute, Scripps Florida 130 Scripps Way, Jupiter, FL 33458, USA.

出版信息

Mol Biosyst. 2013 Jul;9(7):1807-21. doi: 10.1039/c3mb25391k. Epub 2013 Apr 24.

Abstract

The human brain is extraordinarily complex, composed of billions of neurons and trillions of synaptic connections. Neurons are organized into circuit assemblies that are modulated by specific interneurons and non-neuronal cells, such as glia and astrocytes. Data on human genome sequences predicts that each of these cells in the human brain has the potential of expressing ∼20 000 protein coding genes and tens of thousands of noncoding RNAs. A major challenge in neuroscience is to determine (1) how individual neurons and circuitry utilize this potential during development and maturation of the nervous system, and for higher brain functions such as cognition, and (2) how this potential is altered in neurological and psychiatric disorders. In this review, we will discuss how recent advances in next generation sequencing, proteomics and bioinformatics have transformed our understanding of gene expression and the functions of neural circuitry, memory storage, and disorders of cognition.

摘要

人类大脑极其复杂,由数十亿个神经元和数万亿个突触连接组成。神经元被组织成电路组件,这些组件由特定的中间神经元和非神经元细胞(如神经胶质细胞和星形胶质细胞)调节。人类基因组序列数据预测,人类大脑中的每个细胞都有可能表达约20000个蛋白质编码基因和数万个非编码RNA。神经科学中的一个主要挑战是确定:(1)在神经系统发育和成熟过程中,以及在诸如认知等高级脑功能中,单个神经元和神经回路如何利用这种潜力;(2)在神经和精神疾病中,这种潜力是如何改变的。在这篇综述中,我们将讨论下一代测序、蛋白质组学和生物信息学的最新进展如何改变了我们对基因表达、神经回路功能、记忆存储以及认知障碍的理解。

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