| Literature DB >> 30913408 |
Tom Denyer1, Xiaoli Ma1, Simon Klesen1, Emanuele Scacchi1, Kay Nieselt2, Marja C P Timmermans3.
Abstract
High-throughput single-cell RNA sequencing (scRNA-seq) is becoming a cornerstone of developmental research, providing unprecedented power in understanding dynamic processes. Here, we present a high-resolution scRNA-seq expression atlas of the Arabidopsis root composed of thousands of independently profiled cells. This atlas provides detailed spatiotemporal information, identifying defining expression features for all major cell types, including the scarce cells of the quiescent center. These reveal key developmental regulators and downstream genes that translate cell fate into distinctive cell shapes and functions. Developmental trajectories derived from pseudotime analysis depict a finely resolved cascade of cell progressions from the niche through differentiation that are supported by mirroring expression waves of highly interconnected transcription factors. This study demonstrates the power of applying scRNA-seq to plants and provides an unparalleled spatiotemporal perspective of root cell differentiation.Entities:
Keywords: gene regulatory network; pseudotime; quiescent center; root development; scRNA-seq; single-cell RNA sequencing; spatiotemporal gene expression; stem cell; trichoblast
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Year: 2019 PMID: 30913408 DOI: 10.1016/j.devcel.2019.02.022
Source DB: PubMed Journal: Dev Cell ISSN: 1534-5807 Impact factor: 12.270