2020年4月13日，《自然—生物技术》杂志在线发表了美国华盛顿大学Jay Shendure、Junyue Cao等研究人员的最新成果。他们开发了一个能够表征单细胞中基因表达动态的新技术。
Title: Sci-fate characterizes the dynamics of gene expression in single cells
Author: Junyue Cao, Wei Zhou, Frank Steemers, Cole Trapnell, Jay Shendure
Abstract: Gene expression programs change over time, differentiation and development, and in response to stimuli. However, nearly all techniques for profiling gene expression in single cells do not directly capture transcriptional dynamics. In the present study, we present a method for combined single-cell combinatorial indexing and messenger RNA labeling (sci-fate), which uses combinatorial cell indexing and 4-thiouridine labeling of newly synthesized mRNA to concurrently profile the whole and newly synthesized transcriptome in each of many single cells. We used sci-fate to study the cortisol response in >6,000 single cultured cells. From these data, we quantified the dynamics of the cell cycle and glucocorticoid receptor activation, and explored their intersection. Finally, we developed software to infer and analyze cell-state transitions. We anticipate that sci-fate will be broadly applicable to quantitatively characterize transcriptional dynamics in diverse systems.