ArticleDevelopmental cell2021
Single-cell RNA sequencing of developing maize ears facilitates functional analysis and trait candidate gene discovery.
Article in Developmental cell, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 127 papers, 1 of them a synthesis that pooled it.
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Who cites it
127 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of single-cell RNA sequencing applications and insights in Oryza sativa response to environmental stresses.Molecular biology reports · 2025Pooled it
- Multimodal single cell analysis reveals a link between flowering and leaf initiation.bioRxiv : the preprint server for biology · 2026Article
- Decoding the landscape of cell-type-specific co-expressed transcription factors in soybean.Nature plants · 2026Article
- Profiling maize embryonic leaf development and discovering new genes using high-resolution spatial long-read isoform sequencing.Nature plants · 2026Article
- Advances in single-cell and spatial multi-omics for plant development and stress responses.Plant diversity · 2026Review
- Single-cell insights into plant growth, adaptation, and evolution.Journal of integrative plant biology · 2026Review
- Single-nucleus transcriptomics resolves multiple fate dynamics between inflorescence meristem and primary stem.Science advances · 2026Article
- Comparative transcriptome analysis reveals key genes and regulatory networks regulating flowering in rice varieties with different photoperiod sensitivity.BMC plant biology · 2026Article
- The developing leaf of the wild grass Brachypodium distachyon at single-cell resolution.The Plant cell · 2026Article
- Single-cell RNA-sequencing profiles reveal the developmental landscape of hawthorn leaves.BMC plant biology · 2026Article
- Cellular Heterogeneity and Developmental Dynamics of Aril in Papaya.International journal of molecular sciences · 2026Article
- Dynamic and cell-type specific transcriptional reprogramming underlies the floral transition in the maize shoot apical meristem.Genome biology · 2026Article
- Cell-Type-Specific and Variety-Specific Responses to Salt Stress in Wheat Root Revealed by Single-Cell Transcriptomics.Plant biotechnology journal · 2026Article
- Single Cell Multiomics of Hooked Potato Stolons Reveals Parallels to Shoot Apical Meristems in Arabidopsis.Plant biotechnology journal · 2026Article
- Single-cell transcriptomic analysis of plant quiescent center by third-generation sequencing reveals developmental trajectories.Genome biology · 2026Article
- Spatiotemporal transcriptomic and metabolomic landscapes of wild soybean seed development reveal regulatory mechanisms of nutrient accumulation.Plant communications · 2026Article
- Imputation integrates single-cell and spatial gene expression data to resolve transcriptional networks in barley shoot meristem development.Nature plants · 2026Article
- Large-scale single-cell profiling of stem cells identifies redundant regulators of shoot development and yield trait variation.Developmental cell · 2025Article
- Differentiation Trajectory of Virus-Induced Tumour Cells in Rice Revealed by Single-Cell RNA Sequencing.Plant biotechnology journal · 2025Article
- Spatial and single-cell expression analyses reveal complex expression domains in early wheat spike development.Genome biology · 2025Article
67 more citing papers are in PubMed but not listed here.
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22 authors.
Funding
Abstract
Crop productivity depends on activity of meristems that produce optimized plant architectures, including that of the maize ear. A comprehensive understanding of development requires insight into the full diversity of cell types and developmental domains and the gene networks required to specify them. Until now, these were identified primarily by morphology and insights from classical genetics, which are limited by genetic redundancy and pleiotropy. Here, we investigated the transcriptional profiles of 12,525 single cells from developing maize ears. The resulting developmental atlas provides a single-cell RNA sequencing (scRNA-seq) map of an inflorescence. We validated our results by mRNA in situ hybridization and by fluorescence-activated cell sorting (FACS) RNA-seq, and we show how these data may facilitate genetic studies by predicting genetic redundancy, integrating transcriptional networks, and identifying candidate genes associated with crop yield traits.
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