ArticleGenome biology2026
Single-cell proteomics of Arabidopsis leaf mesophyll reveals dynamic protein responses to water-deficit stress.
Article in Genome biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Novel Cell-Type-Specific Drought-Responsive Proteins in Root Tips of Field-Grown Perennial Switchgrass.ACS omega · 2026Article
- Single-cell proteomics of Arabidopsis leaf mesophyll reveals dynamic protein responses to water-deficit stress.Genome biology · 2026Article
- Mesophyll protoplasts: a key tool for deciphering plant nutrient starvation pathways.Frontiers in plant science · 2026Article
- Data-independent acquisition-based quantitative proteomics in plants.Frontiers in plant science · 2026Review
- Exploring the untapped potential of single-cell and spatial omics in plant biology.The New phytologist · 2025Review
- Proteomics: An Essential Tool to Study Plant-Specialized Metabolism.Biomolecules · 2024Review
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Authors and funding
11 authors.
Funding
Abstract
backgroundThe application of single-cell omics tools to biological systems can provide unique insights into diverse cellular populations and their heterogeneous responses to internal and external perturbations. Thus far, most single-cell studies in plant systems have been limited to RNA-sequencing approaches, which only provide indirect readouts of cellular functions.
resultsHere, we present a single-cell proteomics workflow for plant cells that integrates tape-sandwich protoplasting, piezoelectric cell sorting, nanoPOTS sample preparation, and ion mobility-based MS data acquisition method for label-free single-cell proteomics analysis of Arabidopsis leaf mesophyll cells. From a single leaf protoplast, over 3,000 proteins were quantified with high precision. The workflow is demonstrated to identify stress associated changes in protein abundance by analyzing 117 protoplasts from well-watered and water-deficit stressed plants. Additionally, we describe a new approach for constructing covarying protein networks at the single-cell level and demonstrate how single-cell protein covariation analysis can reveal previously unrecognized protein functions while also capturing stress-induced changes in protein-protein dynamics.
conclusionsThe label-free scProteomic approach presented here represents a significant advance through the demonstration of a facile protoplast isolation method combined with deep and precise proteomic coverage of Arabidopsis leaf mesophyll cell types. We believe this study will serve as an informative reference to future plant scProteomic investigations.
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