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...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.展开更多
Single-cell transcriptomics has been fully embraced in plant biological research and is revolutionizing our understanding of plant growth,development,and responses to external stimuli.However,single-cell tran-scriptom...Single-cell transcriptomics has been fully embraced in plant biological research and is revolutionizing our understanding of plant growth,development,and responses to external stimuli.However,single-cell tran-scriptomic data analysis in plants is not trivial,given that there is currently no end-to-end solution and that integration of various bioinformatics tools involves a large number of required dependencies.Here,we pre-sent scPlant,a versatile framework for exploring plant single-cell atlases with minimuminput data provided by users.The scPlant pipeline is implemented with numerous functions for diverse analytical tasks,ranging from basic data processing to advanced demands such as cell-type annotation and deconvolution,trajec-tory inference,cross-species data integration,and cell-type-specific gene regulatory network construc-tion.In addition,a variety of visualization tools are bundled in a built-in Shiny application,enabling explo-ration of single-cell transcriptomic data on the fly.展开更多
Dear Editor,The recent outbreak of novel coronavirus disease 2019(COVID-19)has already become a global-scale epidemic.Since the case from China was reported on Dec 30th,2019(Huang et al.,2020;Li et al.,2020),the patho...Dear Editor,The recent outbreak of novel coronavirus disease 2019(COVID-19)has already become a global-scale epidemic.Since the case from China was reported on Dec 30th,2019(Huang et al.,2020;Li et al.,2020),the pathogen was soon identified as a new coronavirus on Jan 7th.展开更多
基金supported by the National Natural Science Foundation of China (No.32070656)the Nanjing University Deng Feng Scholars Program+1 种基金the Priority Academic Program Development (PAPD) of Jiangsu Higher Education Institutions,China Postdoctoral Science Foundation funded project (No.2022M711563)Jiangsu Funding Program for Excellent Postdoctoral Talent (No.2022ZB50)
文摘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.
基金supported by the National Natural Science Foundation of China(no.32070656)the Nanjing University Deng Feng Scholars Program.
文摘Single-cell transcriptomics has been fully embraced in plant biological research and is revolutionizing our understanding of plant growth,development,and responses to external stimuli.However,single-cell tran-scriptomic data analysis in plants is not trivial,given that there is currently no end-to-end solution and that integration of various bioinformatics tools involves a large number of required dependencies.Here,we pre-sent scPlant,a versatile framework for exploring plant single-cell atlases with minimuminput data provided by users.The scPlant pipeline is implemented with numerous functions for diverse analytical tasks,ranging from basic data processing to advanced demands such as cell-type annotation and deconvolution,trajec-tory inference,cross-species data integration,and cell-type-specific gene regulatory network construc-tion.In addition,a variety of visualization tools are bundled in a built-in Shiny application,enabling explo-ration of single-cell transcriptomic data on the fly.
基金supported by the Fundamental Research Funds for the Central Universities(14380129)the National Natural Science Foundation of China(21877060)。
文摘Dear Editor,The recent outbreak of novel coronavirus disease 2019(COVID-19)has already become a global-scale epidemic.Since the case from China was reported on Dec 30th,2019(Huang et al.,2020;Li et al.,2020),the pathogen was soon identified as a new coronavirus on Jan 7th.
