Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales, Australia.
Centre for Population Genomics, Garvan Institute of Medical Research, Sydney, New South Wales, Australia.
Nat Rev Genet. 2023 Aug;24(8):535-549. doi: 10.1038/s41576-023-00599-5. Epub 2023 Apr 21.
Single-cell genomic technologies are revealing the cellular composition, identities and states in tissues at unprecedented resolution. They have now scaled to the point that it is possible to query samples at the population level, across thousands of individuals. Combining single-cell information with genotype data at this scale provides opportunities to link genetic variation to the cellular processes underpinning key aspects of human biology and disease. This strategy has potential implications for disease diagnosis, risk prediction and development of therapeutic solutions. But, effectively integrating large-scale single-cell genomic data, genetic variation and additional phenotypic data will require advances in data generation and analysis methods. As single-cell genetics begins to emerge as a field in its own right, we review its current state and the challenges and opportunities ahead.
单细胞基因组技术正在以前所未有的分辨率揭示组织中的细胞组成、身份和状态。它们现在已经发展到可以在群体水平上对数千个个体的样本进行查询。将单细胞信息与这种规模的基因型数据相结合,为将遗传变异与人类生物学和疾病关键方面的细胞过程联系起来提供了机会。这种策略有可能对疾病诊断、风险预测和治疗解决方案的开发产生影响。但是,要有效地整合大规模的单细胞基因组数据、遗传变异和其他表型数据,需要在数据生成和分析方法上取得进展。随着单细胞遗传学开始成为一个独立的领域,我们回顾了它的现状以及未来的挑战和机遇。