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Proximity Labeling in Plants
Proteins are workhorses in the cell; they form stable and more often dynamic, transient protein–protein interactions, assemblies, and networks and have an intimate interplay with DNA and RNA. These network interactions underlie fundamental biological processes and play essential roles in cellular fu...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10576617/ https://www.ncbi.nlm.nih.gov/pubmed/36854476 http://dx.doi.org/10.1146/annurev-arplant-070522-052132 |
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author | Xu, Shou-Ling Shrestha, Ruben Karunadasa, Sumudu S. Xie, Pei-Qiao |
author_facet | Xu, Shou-Ling Shrestha, Ruben Karunadasa, Sumudu S. Xie, Pei-Qiao |
author_sort | Xu, Shou-Ling |
collection | PubMed |
description | Proteins are workhorses in the cell; they form stable and more often dynamic, transient protein–protein interactions, assemblies, and networks and have an intimate interplay with DNA and RNA. These network interactions underlie fundamental biological processes and play essential roles in cellular function. The proximity-dependent biotinylation labeling approach combined with mass spectrometry (PL-MS) has recently emerged as a powerful technique to dissect the complex cellular network at the molecular level. In PL-MS, by fusing a genetically encoded proximity-labeling (PL) enzyme to a protein or a localization signal peptide, the enzyme is targeted to a protein complex of interest or to an organelle, allowing labeling of proximity proteins within a zoom radius. These biotinylated proteins can then be captured by streptavidin beads and identified and quantified by mass spectrometry. Recently engineered PL enzymes such as TurboID have a much-improved enzymatic activity, enabling spatiotemporal mapping with a dramatically increased signal-to-noise ratio. PL-MS has revolutionized the way we perform proteomics by overcoming several hurdles imposed by traditional technology, such as biochemical fractionation and affinity purification mass spectrometry. In this review, we focus on biotin ligase–based PL-MS applications that have been, or are likely to be, adopted by the plant field. We discuss the experimental designs and review the different choices for engineered biotin ligases, enrichment, and quantification strategies. Lastly, we review the validation and discuss future perspectives. |
format | Online Article Text |
id | pubmed-10576617 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
record_format | MEDLINE/PubMed |
spelling | pubmed-105766172023-10-14 Proximity Labeling in Plants Xu, Shou-Ling Shrestha, Ruben Karunadasa, Sumudu S. Xie, Pei-Qiao Annu Rev Plant Biol Article Proteins are workhorses in the cell; they form stable and more often dynamic, transient protein–protein interactions, assemblies, and networks and have an intimate interplay with DNA and RNA. These network interactions underlie fundamental biological processes and play essential roles in cellular function. The proximity-dependent biotinylation labeling approach combined with mass spectrometry (PL-MS) has recently emerged as a powerful technique to dissect the complex cellular network at the molecular level. In PL-MS, by fusing a genetically encoded proximity-labeling (PL) enzyme to a protein or a localization signal peptide, the enzyme is targeted to a protein complex of interest or to an organelle, allowing labeling of proximity proteins within a zoom radius. These biotinylated proteins can then be captured by streptavidin beads and identified and quantified by mass spectrometry. Recently engineered PL enzymes such as TurboID have a much-improved enzymatic activity, enabling spatiotemporal mapping with a dramatically increased signal-to-noise ratio. PL-MS has revolutionized the way we perform proteomics by overcoming several hurdles imposed by traditional technology, such as biochemical fractionation and affinity purification mass spectrometry. In this review, we focus on biotin ligase–based PL-MS applications that have been, or are likely to be, adopted by the plant field. We discuss the experimental designs and review the different choices for engineered biotin ligases, enrichment, and quantification strategies. Lastly, we review the validation and discuss future perspectives. 2023-05-22 2023-02-28 /pmc/articles/PMC10576617/ /pubmed/36854476 http://dx.doi.org/10.1146/annurev-arplant-070522-052132 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See credit lines of images or other third-party material in this article for license information. |
spellingShingle | Article Xu, Shou-Ling Shrestha, Ruben Karunadasa, Sumudu S. Xie, Pei-Qiao Proximity Labeling in Plants |
title | Proximity Labeling in Plants |
title_full | Proximity Labeling in Plants |
title_fullStr | Proximity Labeling in Plants |
title_full_unstemmed | Proximity Labeling in Plants |
title_short | Proximity Labeling in Plants |
title_sort | proximity labeling in plants |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10576617/ https://www.ncbi.nlm.nih.gov/pubmed/36854476 http://dx.doi.org/10.1146/annurev-arplant-070522-052132 |
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