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Advances in single-cell multi-omics profiling
RSC Chemical Biology Pub Date : 2021-1-20 , DOI: 10.1039/d0cb00163e
Dongsheng Bai 1 , Jinying Peng 1 , Chengqi Yi 1, 2, 3
Affiliation  

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.

中文翻译:

单细胞多组学分析的进展

开发了单细胞分析方法来剖析细胞群的异质性。最近,多种酶促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。这些方法已经过验证,可以高可信度地识别稀有或新的细胞类型。单细胞多组学分析还可以提供工具来解决与单细胞中基因组编码、表观基因组调控和转录组表达相关的复杂调控网络。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,与其他一些细胞识别层的联合检测,如转录因子结合、组蛋白修饰.,配置文件需要新的技术突破,以促进对单个细胞的更透彻的了解。在这篇综述中,我们总结了单细胞多组学方法的最新进展,并讨论了该领域的挑战和机遇。
更新日期:2021-01-20
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