The plant genome produces an extremely large collection of long noncoding RNAs(lncRNAs) that are generally expressed in a context-specific manner and havepivotal s in regulation of diverse biological processes. Here we mapped thetranscriptional rogeneity of lncRNAs and their associated gene regulatorynetworks at single-cell retion. We generated a comprehensive cell atlas atthe whole-organism level by integra analysis of 28 published single-cellRNA-sequencing (scRNA-seq) datasets from Arabiis juvenile seedlings. We thenprovided an in-depth analysis of cell type-related ln signatures that showsconsistent expression patterns with canonical protein-coding markers. Wefurther demonstrated that the cell-type specific expression of lncRNAs elyexplains their tissue specificity. In addition, we predicted gene regulatorynetw based on motif enrichment and co-expression analysis of lncRNAs andmRNAs, and idened putative transcription factors orchestrating the celltype-specific lncRNA expres. The above analysis results are available at thesingle cell-based plant lncRNA atlatabase (scPLAD;https://biobigdata.nju.edu.cn/scPLAD/). Overall, this work demonstr thepower of integrative single-cell data analysis applied to plant lncRNA biologyarovides fundamental insights into lncRNA expression specificity andassociated gene lation.
School of Life Sciences, Nanjing University
Nanjing 210023, China