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谱系追踪的转录图谱联系分化过程中的状态与命运
作者:小柯机器人 发布时间:2020/1/29 15:25:35

美国哈佛医学院Allon M. Klein等研究人员合作利用谱系追踪的转录图谱将分化过程中的状态与命运联系起来。该项研究成果2020年1月23日在线发表在《科学》上。

研究人员使用表达的DNA条码来克隆性追踪时间转录组,并将其应用于研究造血过程中的命运确定。研究人员确定了潜在命运的状态,并将它们置于连续的转录环境中。研究人员确定了在成熟细胞上留下印记的单核细胞分化的两种途径。然而,对姊妹细胞的分析也显示出细胞具有固有的命运偏倚,而这种偏倚是无法通过单细胞RNA测序检测到的。最后,研究人员从单细胞瞬时捕获中进行了动态推理的计算方法基准测试,结果表明,命运的选择比最先进算法检测到的更早,并且细胞在拟时间中以精确且一致的动态稳定地进展。
 
据了解,生物学的难题之一是将祖细胞之间的分子差异与其产生成熟细胞类型的能力联系起来。
 
附:英文原文

Title: Lineage tracing on transcriptional landscapes links state to fate during differentiation

Author: Caleb Weinreb, Alejo Rodriguez-Fraticelli, Fernando D. Camargo, Allon M. Klein

Issue&Volume: 2020/01/23

Abstract: A challenge in biology is to associate molecular differences among progenitor cells with their capacity to generate mature cell types. Here, we use expressed DNA barcodes to clonally trace transcriptomes over time and applied this to study fate determination in hematopoiesis. We identify states of primed fate potential and locate them on a continuous transcriptional landscape. We identify two routes of monocyte differentiation that leave an imprint on mature cells. Yet analysis of sister cells also reveals cells to have intrinsic fate biases not detectable by single-cell RNA sequencing. Finally, we benchmark computational methods of dynamic inference from single-cell snapshots, showing that fate choice occurs earlier than is detected by state-of the-art algorithms, and that cells progress steadily through pseudotime with precise and consistent dynamics.

DOI: 10.1126/science.aaw3381

Source: https://science.sciencemag.org/content/early/2020/01/22/science.aaw3381

期刊信息
Science:《科学》,创刊于1880年。隶属于美国科学促进会,最新IF:41.037