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当前基于图像数据进行命运图谱和谱系追踪的方法。

Current approaches to fate mapping and lineage tracing using image data.

机构信息

MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Cambridge CB2 0QH, UK.

Biozentrum, University of Basel, Basel, 4056, Switzerland.

出版信息

Development. 2021 Sep 15;148(18). doi: 10.1242/dev.198994. Epub 2021 Sep 9.

Abstract

Visualizing, tracking and reconstructing cell lineages in developing embryos has been an ongoing effort for well over a century. Recent advances in light microscopy, labelling strategies and computational methods to analyse complex image datasets have enabled detailed investigations into the fates of cells. Combined with powerful new advances in genomics and single-cell transcriptomics, the field of developmental biology is able to describe the formation of the embryo like never before. In this Review, we discuss some of the different strategies and applications to lineage tracing in live-imaging data and outline software methodologies that can be applied to various cell-tracking challenges.

摘要

在过去的一个多世纪里,可视化、跟踪和重建胚胎发育中的细胞谱系一直是人们努力的方向。近年来,在光学显微镜、标记策略以及分析复杂图像数据集的计算方法方面的进展,使得对细胞命运的详细研究成为可能。与基因组学和单细胞转录组学的强大新进展相结合,发育生物学领域能够以前所未有的方式描述胚胎的形成。在这篇综述中,我们讨论了活体成像数据中谱系追踪的一些不同策略和应用,并概述了可应用于各种细胞追踪挑战的软件方法。

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