数字农科院2.0

Opportunities and challenges in the application of spatiotemporal transcriptomics in plant research

文献类型： 外文期刊

作者： Deng, Peilei;Huang, Jiaruo;He, Wencan;Li, Zhiyuan;Guo, Cun;Chen, Guoxin;Li, Xiaoxu;Zhong, Kejun;Luo, Wei;Kong, Bo

作者机构：

关键词： spatiotemporal transcriptomics;plant research;bioinformatics approaches;multi-omics and computational biology;plant biology

期刊名称： FRONTIERS IN PLANT SCIENCE

ISSN： 1664-462X

年卷期： 2025 年 16 卷

页码：

收录情况： SCIE（2025版）

摘要： Spatiotemporal heterogeneity is recognized as a key driver of functional diversity in tissues. Spatial transcriptomics, which integrates high-throughput transcriptomics with high-resolution tissue imaging, enables the precise mapping of gene expression patterns at the tissue section level. This technology overcomes the limitations of traditional transcriptomics by providing spatial context and applying unbiased bioinformatics approaches. With the rapid advancement of sequencing technologies, spatial transcriptomics is a pivotal tool for exploring cell fate determination, tissue development, and disease mechanisms, and its underlying principles, technical variations, practical performance, and future directions collectively provide robust theoretical and methodological support for systematically unveiling the spatiotemporal regulation of life processes.

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