Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Genome Biol. 2018 Nov 27;19(1):207. doi: 10.1186/s13059-018-1576-0.
Mass and growth rate are highly integrative measures of cell physiology not discernable via genomic measurements. Here, we introduce a microfluidic platform enabling direct measurement of single-cell mass and growth rate upstream of highly multiplexed single-cell profiling such as single-cell RNA sequencing. We resolve transcriptional signatures associated with single-cell mass and growth rate in L1210 and FL5.12 cell lines and activated CD8+ T cells. Further, we demonstrate a framework using these linked measurements to characterize biophysical heterogeneity in a patient-derived glioblastoma cell line with and without drug treatment. Our results highlight the value of coupled phenotypic metrics in guiding single-cell genomics.
质量和生长速率是细胞生理学的高度综合指标，无法通过基因组测量来识别。在这里，我们引入了一种微流控平台，能够在高度多重化的单细胞分析（如单细胞 RNA 测序）之前直接测量单细胞的质量和生长速率。我们在 L1210 和 FL5.12 细胞系以及激活的 CD8+T 细胞中解析了与单细胞质量和生长速率相关的转录特征。此外，我们还展示了一个使用这些关联测量来描述有和无药物治疗的患者来源的胶质母细胞瘤细胞系的生物物理异质性的框架。我们的结果强调了耦合表型指标在指导单细胞基因组学方面的价值。
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