A 3D gene expression atlas of the floral meristem based on spatial reconstruction of single nucleus RNA sequencing data
M. Neumann, X. Xu, C. Smaczniak, J. Schumacher, W. Yan, T. Greb, N. Bluthgen, H. Jonsson, J. Traas, K. Kaufmann, J. M. Muino
Abstract
Identity and functions of plant cells are influenced by their precise cellular location within the plant body. Cellular heterogeneity in growth and differentiation trajectories results in organ patterning. Therefore, assessing this heterogeneity at molecular scale is a major question in developmental biology. Single-cell transcriptomics (scRNA-seq) allows to characterize and quantify gene expression heterogeneity in developing organs at unprecedented resolution. However, the original physical location of the cell is lost during the scRNA-seq procedure. To recover the original location of cells is essential to link gene activity with cellular function and morphology. Here, we reconstruct genome-wide gene expression patterns of individual cells in a floral meristem by combining single-nuclei RNA-seq with 3D spatial reconstruction. By this, gene expression differences among meristematic domains giving rise to different tissue and organ types can be determined. As a proof of principle, the data are used to trace the initiation of vascular identity within the floral meristem. Our work demonstrates the power of spatially reconstructed single cell transcriptome atlases to understand plant morphogenesis. The floral meristem 3D gene expression atlas can be accessed at http://threed-flower-meristem.herokuapp.com
02 /Specification & Classification
Click any tag to browse matching papers- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Single-nucleus RNA-seq resolves spatiotemporal developmental trajectories in the tomato shoot apex
- Single-cell Stereo-seq enables cell type-specific spatial transcriptome characterization in Arabidopsis leaves
- Imputation integrates single-cell and spatial gene expression data to resolve transcriptional networks in barley shoot meristem development
Edgar Demesa-Arévalo, Hannah Dörpholz, … Rüdiger GW Simon·Nature PlantsPeer-reviewed·Jan 7, 2026
- Single-nucleus transcriptomics resolves differentiation dynamics between shoot stem cells and primary stem.
Sebastián R Moreno, Martin O. Lenz, … Henrik Jönsson·bioRxiv·Aug 6, 2024
- Spatial transcriptomic atlas of shoot organogenesis in tomato callus
- PHYTOMap: Multiplexed single-cell 3D spatial gene expression analysis in plant tissue
T. Nobori, M. Oliva, … J. R. Ecker·bioRxiv·Jul 28, 2022