spatiotemporal transcriptomes of maize leaf at early stages
IDSTT0000121(Source: STOmics DB)
STOmics technology:BGI Stereomics Stereo-Seq
Organism(s):
Setaria viridis
,Oryza sativa Japonica Group
,Sorghum bicolor
Data type:Spatial transcriptomics
Sample scope:Monoisolate
Summary:Here, we constructed single cell spatial transcriptomes and single cell RNA-seq (scRNA-seq) atlases of leaf primordia for maize (Zea mays). By integrating spatial and scRNA-seq data in maize, we identified all cell types, particularly bundle sheath cells (BSC) at early developmental stages. We developed a unified pseudo-Kranz framework to integrate transcriptomics data for cells at different positions and distances from vascular bundles. We construct genetic regulatory networks for different cell types in early developing leaves and consequently identified newly recruited regulators related to Kranz anatomy.
Contributor(s):Zhao Caiyao, Yang Jianzhao, Chen Hanyang, Ni Anting.
Publication(s):
  • Zhu Xinguang, Liu Huan, Wei Tong, Xu Xun, Gu Ying. Comparative spatiotemporal single cell transcriptomes reveal pervasive rewiring of pre-existing regulatory programs during the emergence of Kranz anatomy in C4 grasses.
Submitter:赵彩耀,BGI
Release date:2025-12-31
Updated:2025-12-31
Statistics:
  • Sample: 3
  • Tissue Section: 33
Datasize:6.03GB