| Literature DB >> 35512702 |
Keke Xia1, Hai-Xi Sun2, Jie Li2, Jiming Li1, Yu Zhao1, Lichuan Chen1, Chao Qin1, Ruiying Chen3, Zhiyong Chen1, Guangyu Liu1, Ruilian Yin2, Bangbang Mu1, Xiaojuan Wang1, Mengyuan Xu1, Xinyue Li1, Peisi Yuan1, Yixin Qiao1, Shijie Hao2, Jing Wang1, Qing Xie1, Jiangshan Xu2, Shiping Liu1, Yuxiang Li1, Ao Chen1, Longqi Liu4, Ye Yin5, Huanming Yang6, Jian Wang7, Ying Gu8, Xun Xu9.
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.Entities:
Keywords: Arabidopsis leaves; single-cell Stereo-seq; single-cell spatial transcriptome; spatial developmental trajectory
Mesh:
Year: 2022 PMID: 35512702 DOI: 10.1016/j.devcel.2022.04.011
Source DB: PubMed Journal: Dev Cell ISSN: 1534-5807 Impact factor: 12.270