Next generation lineage tracing and its applications to unravel development.

IF 3.5 2区生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY

NPJ Systems Biology and Applications Pub Date : 2025-06-05 DOI:10.1038/s41540-025-00542-w

Spencer Short, Rodrigo García-Tejera, Linus J Schumacher, Daniel L Coutu

引用次数: 0

Abstract

Lineage tracing remains an essential approach towards understanding cell fate, tissue formation, and human development. Herein, we review advancements in lineage tracing techniques, the integration of sequencing and imaging technologies, and computational tools for analysis. We report on recent lineage tracing applications, including integrative techniques (MADM-CloneSeq), in situ hybridization (DART-FISH), and modern workflows (BaSISS), which hold an essential role in our aim to unravel lineage hierarchies and, ultimately, human development.

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下一代谱系追踪及其在揭示发展中的应用。

谱系追踪仍然是了解细胞命运、组织形成和人类发育的重要方法。在此，我们回顾了谱系追踪技术的进展，测序和成像技术的整合，以及用于分析的计算工具。我们报告了最近的谱系追踪应用，包括综合技术（MADM-CloneSeq），原位杂交（DART-FISH）和现代工作流程（BaSISS），它们在我们揭示谱系等级和最终人类发展的目标中发挥着重要作用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

NPJ Systems Biology and Applications Mathematics-Applied Mathematics

CiteScore

5.80

自引率

0.00%

发文量

审稿时长

8 weeks

期刊介绍： npj Systems Biology and Applications is an online Open Access journal dedicated to publishing the premier research that takes a systems-oriented approach. The journal aims to provide a forum for the presentation of articles that help define this nascent field, as well as those that apply the advances to wider fields. We encourage studies that integrate, or aid the integration of, data, analyses and insight from molecules to organisms and broader systems. Important areas of interest include not only fundamental biological systems and drug discovery, but also applications to health, medical practice and implementation, big data, biotechnology, food science, human behaviour, broader biological systems and industrial applications of systems biology. We encourage all approaches, including network biology, application of control theory to biological systems, computational modelling and analysis, comprehensive and/or high-content measurements, theoretical, analytical and computational studies of system-level properties of biological systems and computational/software/data platforms enabling such studies.