Organizing your space: The potential for integrating spatial transcriptomics and 3D imaging data in plants

• Published in: Plant physiology (Bethesda) 2022-02, Vol.188 (2), p.703-712
• Main Authors: Cox, Jr, Kevin L, Gurazada, Sai Guna Ranjan, Duncan, Keith E, Czymmek, Kirk J, Topp, Christopher N, Meyers, Blake C
• Format: Article
• Language: English
• Subjects: Focus Issue on the Plant Cell Atlas; Gene Expression Regulation, Plant; Genes, Plant; Imaging, Three-Dimensional - methods; Microscopy, Fluorescence - methods; Plant Physiological Phenomena - genetics; Plants - genetics; Signal Transduction - genetics; Single-Cell Analysis; Spatial Analysis; Transcriptome
• ISSN: 0032-0889; 1532-2548; 1532-2548
• DOI: 10.1093/plphys/kiab508

Plant cells communicate information for the regulation of development and responses to external stresses. A key form of this communication is transcriptional regulation, accomplished via complex gene networks operating both locally and systemically. To fully understand how genes are regulated across plant tissues and organs, high resolution, multi-dimensional spatial transcriptional data must be acquired and placed within a cellular and organismal context. Spatial transcriptomics (ST) typically provides a two-dimensional spatial analysis of gene expression of tissue sections that can be stacked to render three-dimensional data. For example, X-ray and light-sheet microscopy provide sub-micron scale volumetric imaging of cellular morphology of tissues, organs, or potentially entire organisms. Linking these technologies could substantially advance transcriptomics in plant biology and other fields. Here, we review advances in ST and 3D microscopy approaches and describe how these technologies could be combined to provide high resolution, spatially organized plant tissue transcript mapping.