Genetically encoded biosensors for spatiotemporal monitoring of plant proteins in growth and stress responses

Genetically encoded biosensors are powerful tools for monitoring plant proteins, which could offer high spatial and temporal resolution and help reveal the molecular mechanisms underlying plant growth and stress responses. However, a comprehensive review focused on the spatiotemporal monitoring of plant proteins using these biosensors is still lacking. This review highlights key advancements in the field, evaluates the strengths and limitations of current biosensors, and discusses their applications for tracking plant protein dynamics. We aim to provide a thorough understanding of genetically encoded biosensors for plant proteins, promote the development of these technologies, and foster deeper insights into molecular mechanisms in plant cells. Future research should prioritize overcoming challenges such as interference from plant autofluorescence and enhancing the sensitivity of biosensors, particularly in complex cellular compartments like chloroplasts and cell walls, to further improve spatial and temporal resolution. TOC Graphic: The workflow of genetically encoded biosensors

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Publication Details

Journal
Advanced Agrochem
Published
2025-03-04
DOI
https://doi.org/10.1016/j.aac.2025.03.002
Citations
8
Primary Topic
Diatoms and Algae Research
Type
article
Field-Weighted Citation Impact
4.78

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article

Genetically encoded biosensors for spatiotemporal monitoring of plant proteins in growth and stress responses

Xiao Han, Ge‐Fei Hao, Nir Ohad, Min Li
8 citations
Advanced Agrochem
Diatoms and Algae Research
4.78
article

Genetically encoded biosensors for spatiotemporal monitoring of plant proteins in growth and stress responses

Xiao Han, Ge‐Fei Hao, Nir Ohad, Min Li
article en
8 citations

Abstract

Genetically encoded biosensors are powerful tools for monitoring plant proteins, which could offer high spatial and temporal resolution and help reveal the molecular mechanisms underlying plant growth and stress responses. However, a comprehensive review focused on the spatiotemporal monitoring of plant proteins using these biosensors is still lacking. This review highlights key advancements in the field, evaluates the strengths and limitations of current biosensors, and discusses their applications for tracking plant protein dynamics. We aim to provide a thorough understanding of genetically encoded biosensors for plant proteins, promote the development of these technologies, and foster deeper insights into molecular mechanisms in plant cells. Future research should prioritize overcoming challenges such as interference from plant autofluorescence and enhancing the sensitivity of biosensors, particularly in complex cellular compartments like chloroplasts and cell walls, to further improve spatial and temporal resolution. TOC Graphic: The workflow of genetically encoded biosensors

Advanced AgrochemVol. 4(3)
Tel Aviv University (IL), Guizhou University (CN), Central China Normal University (CN)
National Key Research and Development Program of China, National Science Fund for Distinguished Young Scholars
Zero hunger
Openalex Percentile: Top 5%
Diatoms and Algae Research
4.78
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