ReviewThe New phytologist2018
Quantitative proteomics in plant protease substrate identification.
Review in The New phytologist, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Large-Scale Multigenome-Wide Study Predicts the Existence of Transmembrane Phosphotransfer Proteins in Plant Multistep Phosphorelay Signaling Pathway.International journal of molecular sciences · 2025Article
- Proteolysis in plant immunity.The Plant cell · 2024Review
- Translational profile of coding and non-coding RNAs revealed by genome wide profiling of ribosome footprints in grapevine.Frontiers in plant science · 2023Article
- Knockout of a papain-like cysteine protease geneFrontiers in plant science · 2022Article
- Sensitive Plant N-Terminome Profiling with HUNTER.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Protein Processing in Plant Mitochondria Compared to Yeast and Mammals.Frontiers in plant science · 2022Review
- Chlamydomonas proteases: classification, phylogeny, and molecular mechanisms.Journal of experimental botany · 2021Article
- Abundance of metalloprotease FtsH12 modulates chloroplast development in Arabidopsis thaliana.Journal of experimental botany · 2021Article
- MANTI: Automated Annotation of Protein N-Termini for Rapid Interpretation of N-Terminome Data Sets.Analytical chemistry · 2021Article
- The Mouse Heart Mitochondria N Terminome Provides Insights into ClpXP-Mediated Proteolysis.Molecular & cellular proteomics : MCP · 2020Article
- The iTRAQ-based chloroplast proteomic analysis of Triticum aestivum L. leaves subjected to drought stress and 5-aminolevulinic acid alleviation reveals several proteins involved in the protection of photosynthesis.BMC plant biology · 2020Article
- Plant proteases during developmental programmed cell death.Journal of experimental botany · 2019Review
- Plant proteases and programmed cell death.Journal of experimental botany · 2019Article
- New beginnings and new ends: methods for large-scale characterization of protein termini and their use in plant biology.Journal of experimental botany · 2019Review
- Approaches to identify and characterize microProteins and their potential uses in biotechnology.Cellular and molecular life sciences : CMLS · 2018Review
- Ten Prominent Host Proteases in Plant-Pathogen Interactions.International journal of molecular sciences · 2018Review
- Role of Papain-Like Cysteine Proteases in Plant Development.Frontiers in plant science · 2018Review
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4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Contents Summary 936 I. Introduction 936 II. The quest for plant protease substrates - proteomics to the rescue? 937 III. Quantitative proteome comparison reveals candidate substrates 938 IV. Dynamic metabolic stable isotope labeling to measure protein turnover in vivo 938 V. Terminomics - large-scale identification of protease cleavage sites 939 VI. Substrate or not substrate, that is the question 940 VII. Concluding remarks 941 Acknowledgements 941 References 941 SUMMARY: Proteolysis is a central regulatory mechanism of protein homeostasis and protein function that affects all aspects of plant life. Higher plants encode for hundreds of proteases, but their physiological substrates and hence their molecular functions remain mostly unknown. Current quantitative mass spectrometry-based proteomics enables unbiased large-scale interrogation of the proteome and its modifications. Here we provide an overview of proteomics techniques that allow profiling of changes in protein abundance, measurement of proteome turnover rates, identification of protease cleavage sites in vivo and in vitro and determination of protease sequence specificity. We discuss how these techniques can help to reveal protease substrates and determine plant protease function, illustrated by recent studies on selected plant proteases.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.