Dynamics of Gene Expression in Single Root Cells of <i>Arabidopsis thaliana</i>.

ABSTRACT: Single cell RNA sequencing can yield high-resolution cell-type-specific expression signatures that reveal new cell types and the developmental trajectories of cell lineages. Here, we apply this approach to Arabidopsis (Arabidopsis thaliana) root cells to capture gene expression in 3,121 root cells. We analyze these data with Monocle 3, which orders single cell transcriptomes in an unsupervised manner and uses machine learning to reconstruct single cell developmental trajectories along pseudotime. We identify hundreds of genes with cell-type-specific expression, with pseudotime analysis of several cell lineages revealing both known and novel genes that are expressed along a developmental trajectory. We identify transcription factor motifs that are enriched in early and late cells, to

SUBMITTER: Jean-Baptiste K 

PROVIDER: S-EPMC8516002 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature