Minerva Adelaide R, DeBerardine Michael, Lin Rixing, Kim Hye Ji J, Rogers Forrest D, Rashford Rebekah L, Peña Catherine J
Princeton Neuroscience Institute, Princeton University, Princeton, NJ 08544 USA.
NPP Digit Psychiatry Neurosci. 2025;3(1):21. doi: 10.1038/s44277-025-00041-0. Epub 2025 Aug 8.
Technology and computational analysis to profile RNA and DNA at genome-wide scale has rapidly evolved in the last two decades, with a concomitant rise in their application within neuroscience and psychiatry research. These technologies initially offered "unbiased" insights and the potential to discover previously unconsidered molecular mediators of disease and development. The more recent advent and adoption of single-cell/nucleus and spatial "omics" sequencing provides unprecedented insights into cellular processes within heterogeneous tissues. These advances are especially advantageous in neuropsychiatric research, which faces unique challenges due to the brain's cellular heterogeneity, dynamic development, and the complex, polygenic nature of many psychiatric disorders. Still, different sequencing techniques are better suited for different questions and the most fine-grained (and expensive) approaches are not always necessary. Here, we offer a simple primer on the pros, cons, and best applications for currently available sequencing technologies.
在过去二十年中,用于全基因组规模分析RNA和DNA的技术及计算分析迅速发展,同时它们在神经科学和精神病学研究中的应用也日益增多。这些技术最初提供了“无偏见”的见解,并有潜力发现以前未被考虑的疾病和发育的分子介质。最近单细胞/细胞核和空间“组学”测序的出现和应用,为异质组织中的细胞过程提供了前所未有的见解。这些进展在神经精神疾病研究中特别有利,因为大脑的细胞异质性、动态发育以及许多精神疾病的复杂多基因性质,该研究面临着独特的挑战。尽管如此,不同的测序技术更适合不同的问题,最精细(且昂贵)的方法并不总是必要的。在这里,我们提供了一个关于当前可用测序技术的优缺点及最佳应用的简单入门指南。