Chinese Bulletin of Botany ›› 2023, Vol. 58 ›› Issue (2): 214-232.DOI: 10.11983/CBB22220

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Research Progress of Spatiotemporal Transcriptomes

Yubin Xiao1,2, Zixu Zhang1, Yuzhu Wang1, Huan Liu2,3,*(), Letian Chen1,*()   

  1. 1Guangdong Laboratory for Lingnan Modern Agriculture, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Life Sciences, South China Agricultural University, Guangzhou 510642, China
    2State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China
    3Shenzhen Branch of Guangdong Laboratory for Lingnan Modern Agriculture, Shenzhen 518083, China
  • Received:2022-09-12 Accepted:2023-01-10 Online:2023-03-01 Published:2023-03-15
  • Contact: *E-mail:;

Abstract: Spatiotemporal heterogeneity is a key factor for functional differentiation in different tissues and plays an important role in regulating cell fate. Spatiotemporal transcriptomic sequencing (stRNA-seq) is an emerging omics technology that combines quantitative transcriptome with high-resolution tissue imaging. It anchors expression data to the physical map of a target organ or tissue and molecularly characterizes tissue sections and cell layers via unbiased bioinformatic analysis, which reflects the spatiotemporal heterogeneity of gene expression abundances within specific cells. Benefiting from the rapid development of high-throughput sequencing, the spatiotemporal heterogeneity of gene expression in various cells can be explored by new experimental approaches. In this review, we first briefly introduce the principle and development process of stRNA-seq, providing readers an overview on the characteristics, advantages and disadvantages of different stRNA-seq techniques. Then, we summarize the applications of stRNA-seq in animals, plants and microorganisms, which provide theoretical references for the systematic research of stRNA-seq in future.

Key words: spatiotemporal transcriptomics, spatial and temporal heterogeneity, single cell