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Comprehensive integration of single-cell transcriptomic data illuminates the regulatory network architecture of plant cell fate specification

Authors :
Shanni Cao
Xue Zhao
Zhuojin Li
Ranran Yu
Yuqi Li
Xinkai Zhou
Wenhao Yan
Dijun Chen
Chao He
Source :
Plant Diversity, Vol 46, Iss 3, Pp 372-385 (2024)
Publication Year :
2024
Publisher :
KeAi Communications Co., Ltd., 2024.

Abstract

Plant morphogenesis relies on precise gene expression programs at the proper time and position which is orchestrated by transcription factors (TFs) in intricate regulatory networks in a cell-type specific manner. Here we introduced a comprehensive single-cell transcriptomic atlas of Arabidopsis seedlings. This atlas is the result of meticulous integration of 63 previously published scRNA-seq datasets, addressing batch effects and conserving biological variance. This integration spans a broad spectrum of tissues, including both below- and above-ground parts. Utilizing a rigorous approach for cell type annotation, we identified 47 distinct cell types or states, largely expanding our current view of plant cell compositions. We systematically constructed cell-type specific gene regulatory networks and uncovered key regulators that act in a coordinated manner to control cell-type specific gene expression. Taken together, our study not only offers extensive plant cell atlas exploration that serves as a valuable resource, but also provides molecular insights into gene-regulatory programs that varies from different cell types.

Details

Language :
English
ISSN :
24682659
Volume :
46
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Plant Diversity
Publication Type :
Academic Journal
Accession number :
edsdoj.28da028d00a44f8783f15994d35f8545
Document Type :
article
Full Text :
https://doi.org/10.1016/j.pld.2024.03.008