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发现人类遗传变异的机制,并大规模控制细胞状态。

Discovering mechanisms of human genetic variation and controlling cell states at scale.

机构信息

Cellular and Molecular Biology Graduate Program, University of Wisconsin, Madison, WI, USA; Medical Scientist Training Program, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Department of Biochemistry, University of Wisconsin, Madison, WI, USA.

Department of Biochemistry, University of Wisconsin, Madison, WI, USA; Department of Bacteriology, University of Wisconsin, Madison, WI, USA; Department of Chemical and Biological Engineering, University of Wisconsin, Madison, WI, USA.

出版信息

Trends Genet. 2024 Jul;40(7):587-600. doi: 10.1016/j.tig.2024.03.010. Epub 2024 Apr 24.

Abstract

Population-scale sequencing efforts have catalogued substantial genetic variation in humans such that variant discovery dramatically outpaces interpretation. We discuss how single-cell sequencing is poised to reveal genetic mechanisms at a rate that may soon approach that of variant discovery. The functional genomics toolkit is sufficiently modular to systematically profile almost any type of variation within increasingly diverse contexts and with molecularly comprehensive and unbiased readouts. As a result, we can construct deep phenotypic atlases of variant effects that span the entire regulatory cascade. The same conceptual approach to interpreting genetic variation should be applied to engineering therapeutic cell states. In this way, variant mechanism discovery and cell state engineering will become reciprocating and iterative processes towards genomic medicine.

摘要

人口规模的测序工作已经对人类的大量遗传变异进行了编目,以至于变异的发现大大超过了其解释。我们讨论了单细胞测序如何能够以可能很快接近变异发现的速度揭示遗传机制。功能基因组学工具包足够模块化,可以系统地分析越来越多样化的环境中几乎任何类型的变异,并具有分子上全面和无偏的读数。因此,我们可以构建跨越整个调控级联的变异效应的深度表型图谱。对遗传变异的解释也应该采用相同的概念方法来设计治疗性细胞状态。通过这种方式,变异机制的发现和细胞状态的工程将成为基因组医学的往复和迭代过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5040/11607914/036d3f24504e/nihms-2036276-f0001.jpg

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