Advances in single-cell multi-omics profiling.
Advances in single-cell multi-omics profiling.
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DOI：
10.1039/d0cb00163e
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发表时间：
2021-04-01
影响因子：
4.1
通讯作者：
Yi C
中科院分区：
文献类型：
--
作者：
Bai D;Peng J;Yi C
单细胞分析方法被开发用于剖析细胞群体的异质性。最近，多种酶或化学处理已被整合到具有高兼容性的单细胞多组学分析方法中。这些方法已被验证为以高置信度鉴定罕见或新的细胞类型。单细胞多组学分析还可以提供解决与单细胞中的基因组编码、表观基因组调控和转录组表达相关的复杂调控网络的工具。然而，获取高质量的单细胞数据仍然面临着固有的技术挑战，并且与一些其他细胞层的共分析鉴定，例如转录因子结合，组蛋白修饰等，谱需要新的技术突破，以促进对单个细胞的更透彻的理解。本文综述了单细胞多组学方法的最新进展，并讨论了该领域面临的挑战和机遇。单细胞多组学分析方法被开发用于剖析细胞群体的异质性。
Single-cell profiling methods are developed to dissect heterogeneity of cell populations. Recently, multiple enzymatic or chemical treatments have been integrated into single-cell multi-omics profiling methods with high compatibility. These methods have been verified to identify rare or new cell types with high confidence. Single-cell multi-omics analysis can also provide tools to solve the complex regulatory network associated with genome coding, epigenome regulation, and transcripotome expression in a single cell. However, acquiring high-quality single-cell data still faces inherent technical challenges, and co-assays with some other layers of cell identify such as transcription factors binding, histone modifications etc., profiles need new technological breakthroughs to facilitate a more thorough understanding of a single cell. In this review, we summarize the recent advances of single-cell multi-omics methods and discuss the challenges and opportunities in this filed. Single-cell multi-omics profiling methods are developed to dissect heterogeneity of cell populations.