The single-cell stereo-seq reveals region-specific cell subtypes and transcriptome profiling in Arabidopsis leaves
- PMID: 35512702
- DOI: 10.1016/j.devcel.2022.04.011
The single-cell stereo-seq reveals region-specific cell subtypes and transcriptome profiling in Arabidopsis leaves
Abstract
Understanding the complex functions of plant leaves requires a thorough characterization of discrete cell features. Although single-cell gene expression profiling technologies have been developed, their application in characterizing cell subtypes has not been achieved yet. Here, we present scStereo-seq (single-cell spatial enhanced resolution omics sequencing) that enabled us to show the bona fide single-cell spatial transcriptome profiles of Arabidopsis leaves. Subtle but significant transcriptomic differences between upper and lower epidermal cells have been successfully distinguished. Furthermore, we discovered cell-type-specific gene expression gradients from the main vein to the leaf edge, which led to the finding of distinct spatial developmental trajectories of vascular cells and guard cells. Our study showcases the importance of physical locations of individual cells for exerting complex biological functions in plants and demonstrates that scStereo-seq is a powerful tool to integrate single-cell location and transcriptome information for plant biology study.
Keywords: Arabidopsis leaves; single-cell Stereo-seq; single-cell spatial transcriptome; spatial developmental trajectory.
Copyright © 2022 The Author(s). Published by Elsevier Inc. All rights reserved.
Conflict of interest statement
Declaration of interests The authors declare the following competing interests: the chip, procedure, and applications of Stereo-seq are covered in pending patents. Ye Yin is an employee and shareholder of BGI Genomics.
Comment in
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New adventures in spatial transcriptomics.Dev Cell. 2022 May 23;57(10):1209-1210. doi: 10.1016/j.devcel.2022.04.021. Dev Cell. 2022. PMID: 35609527
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