神经科学
系统生物学
功能基因组学
基因组学
系统神经科学
认知科学
领域
数据科学
计算生物学
转化研究
生物
计算机科学
基因组
心理学
基因
遗传学
生物技术
政治学
髓鞘
法学
少突胶质细胞
中枢神经系统
作者
Geneviève Konopka,Aparna Bhaduri
出处
期刊:Nature
[Springer Nature]
日期:2023-11-08
卷期号:623 (7986): 274-282
被引量:2
标识
DOI:10.1038/s41586-023-06686-1
摘要
Neuroscience research has entered a phase of key discoveries in the realm of neurogenomics owing to strong financial and intellectual support for resource building and tool development. The previous challenge of tissue heterogeneity has been met with the application of techniques that can profile individual cells at scale. Moreover, the ability to perturb genes, gene regulatory elements and neuronal activity in a cell-type-specific manner has been integrated with gene expression studies to uncover the functional underpinnings of the genome at a systems level. Although these insights have necessarily been grounded in model systems, we now have the opportunity to apply these approaches in humans and in human tissue, thanks to advances in human genetics, brain imaging and tissue collection. We acknowledge that there will probably always be limits to the extent to which we can apply the genomic tools developed in model systems to human neuroscience; however, as we describe in this Perspective, the neuroscience field is now primed with an optimal foundation for tackling this ambitious challenge. The application of systems-level network analyses to these datasets will facilitate a deeper appreciation of human neurogenomics that cannot otherwise be achieved from directly observable phenomena.
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