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

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

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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 sys-tematically 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.

ArabidopsisSingle cell transcriptomeGene regulatory networkData integrationPlant cell atlas

Shanni Cao、Xue Zhao、Zhuojin Li、Ranran Yu、Yuqi Li、Xinkai Zhou、Wenhao Yan、Dijun Chen、Chao He

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State Key Laboratory of Pharmaceutical Biotechnology,School of Life Sciences,Nanjing University,Nanjing 210023,China

National Key Laboratory of Crop Genetic Improvement,Hubei Hongshan Laboratory,Huazhong Agricultural University,Wuhan 430070,China

National Natural Science Foundation of ChinaNanjing University Deng Feng Scholars Program and the Priority Academic Program Development(PAPD)of Jiangsu Higher EducationJiangsu Funding Program for Excellent Postdoctoral Talent

320706562022M7115632022ZB50

2024

植物多样性(英文)
中国科学院昆明植物研究所,中国植物学会

植物多样性(英文)

CSTPCD
影响因子:0.617
ISSN:2096-2703
年,卷(期):2024.46(3)