Department of Genome Sciences, Room S333, Foege Building, Box 355065, Seattle, WA 98105, USA.
Department of Genome Sciences, Room S333, Foege Building, Box 355065, Seattle, WA 98105, USA.
Trends Genet. 2018 Sep;34(9):653-665. doi: 10.1016/j.tig.2018.06.001. Epub 2018 Jul 11.
Cells in a multicellular organism fulfill specific functions by enacting cell-type-specific programs of gene regulation. Single-cell RNA sequencing technologies have provided a transformative view of cell-type-specific gene expression, the output of cell-type-specific gene regulatory programs. This review discusses new single-cell genomic technologies that complement single-cell RNA sequencing by providing additional readouts of cellular state beyond the transcriptome. We highlight regression models as a simple yet powerful approach to relate gene expression to other aspects of cellular state, and in doing so, gain insights into the biochemical mechanisms that are necessary to produce a given gene expression output.
多细胞生物中的细胞通过执行特定细胞类型的基因调控程序来发挥特定功能。单细胞 RNA 测序技术提供了对特定细胞类型基因表达的变革性观察，即特定细胞类型基因调控程序的输出。本综述讨论了新的单细胞基因组技术，这些技术通过提供转录组以外的细胞状态的其他读数来补充单细胞 RNA 测序。我们强调回归模型作为一种简单而强大的方法，将基因表达与细胞状态的其他方面联系起来，并在此过程中深入了解产生特定基因表达输出所需的生化机制。
