Department of Biomedical Engineering, Yale University, New Haven, Connecticut 06511, USA; email:
Annu Rev Biomed Eng. 2019 Jun 4;21:365-393. doi: 10.1146/annurev-bioeng-060418-052538. Epub 2019 Mar 18.
Single-cell omics studies provide unique information regarding cellular heterogeneity at various levels of the molecular biology central dogma. This knowledge facilitates a deeper understanding of how underlying molecular and architectural changes alter cell behavior, development, and disease processes. The emerging microchip-based tools for single-cell omics analysis are enabling the evaluation of cellular omics with high throughput, improved sensitivity, and reduced cost. We review state-of-the-art microchip platforms for profiling genomics, epigenomics, transcriptomics, proteomics, metabolomics, and multi-omics at single-cell resolution. We also discuss the background of and challenges in the analysis of each molecular layer and integration of multiple levels of omics data, as well as how microchip-based methodologies benefit these fields. Additionally, we examine the advantages and limitations of these approaches. Looking forward, we describe additional challenges and future opportunities that will facilitate the improvement and broad adoption of single-cell omics in life science and medicine.
单细胞组学研究在分子生物学中心法则的各个层面上提供了关于细胞异质性的独特信息。这一知识有助于更深入地了解底层分子和结构变化如何改变细胞行为、发育和疾病过程。新兴的基于微芯片的单细胞组学分析工具使我们能够以高通量、更高的灵敏度和更低的成本评估细胞组学。我们综述了用于单细 胞分辨率下基因组学、表观基因组学、转录组学、蛋白质组学、代谢组学和多组学分析的最先进的微芯片平台。我们还讨论了分析每个分子层的背景和挑战以及整合多个层面的组学数据,以及基于微芯片的方法如何使这些领域受益。此外,我们还研究了这些方法的优缺点。展望未来,我们描述了将促进单细胞组学在生命科学和医学中的改进和广泛应用的其他挑战和未来机遇。
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