Understanding multicellular physiology and pathobiology requires analysis of the relationship between genotype, chromatin organisation and phenotype. In the multi-omics era, many methods exist to investigate biological processes across the genome, transcriptome, epigenome, proteome and metabolome. Until recently, this was only possible for populations of cells or complex tissues, creating an averaging effect that may obscure direct correlations between multiple layers of data. Single-cell sequencing methods have removed this averaging effect, but computational integration after profiling distinct modalities separately may still not completely reflect underlying biology. Multiplexed assays resolving multiple modalities in the same cell are required to overcome these shortcomings and have the potential to deliver unprecedented understanding of biology and disease.

中文翻译：

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表观基因组单细胞测序应用的进展和挑战。


了解多细胞生理学和病理学需要分析基因型、染色质组织和表型之间的关系。在多组学时代，存在许多方法来研究基因组、转录组、表观基因组、蛋白质组和代谢组的生物过程。直到最近，这仅适用于细胞群或复杂组织，产生的平均效应可能会掩盖多层数据之间的直接相关性。单细胞测序方法消除了这种平均效应，但在分别分析不同模式后的计算整合可能仍然无法完全反映潜在的生物学。需要在同一细胞中解析多种模式的多重测定来克服这些缺点，并有可能对生物学和疾病提供前所未有的理解。