2020
DOI: 10.1074/mcp.r120.001971
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Organellar Maps Through Proteomic Profiling – A Conceptual Guide

Abstract: Protein subcellular localization is an essential and highly regulated determinant of protein function. Major advances in mass spectrometry and imaging have allowed the development of powerful spatial proteomics approaches for determining protein localization at the whole cell scale. Here, a brief overview of current methods is presented, followed by a detailed discussion of organellar mapping through proteomic profiling. This relatively simple yet flexible approach is rapidly gaining popularity, becaus… Show more

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Cited by 38 publications
(56 citation statements)
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“…To characterize the mechanism of antigen import enhancement, we developed a generic strategy to evaluate the biological activity of pharmacological compounds through comparative spatial proteomics ( Figure 2 A). Many, if not most, cell biological processes are accompanied by protein subcellular localization changes ( Lundberg and Borner, 2019 ; Borner, 2020 ). Hence, we adapted our previously developed method for generating organellar maps to pinpoint the subcellular localizations of thousands of proteins in a single experiment ( Itzhak et al., 2016 , 2017 , 2019 ).…”
Section: Resultsmentioning
confidence: 99%
“…To characterize the mechanism of antigen import enhancement, we developed a generic strategy to evaluate the biological activity of pharmacological compounds through comparative spatial proteomics ( Figure 2 A). Many, if not most, cell biological processes are accompanied by protein subcellular localization changes ( Lundberg and Borner, 2019 ; Borner, 2020 ). Hence, we adapted our previously developed method for generating organellar maps to pinpoint the subcellular localizations of thousands of proteins in a single experiment ( Itzhak et al., 2016 , 2017 , 2019 ).…”
Section: Resultsmentioning
confidence: 99%
“…Since marker proteins for different EV subtypes show overlapping profiles during density gradient centrifugation, proteomic analysis of peak fractions is insufficient to define EV compositions unambiguously. A more powerful approach is to profile the distribution of proteins across the entire gradient and to cluster proteins based on profile similarity (reviewed in (Borner, 2020)). However, the analysis of 12 fractions, across multiple replicates and biological conditions, requires considerable resources and is fraught with technical variability; the limited reproducibility of such experiments renders comparative applications challenging (Gatto et al, 2014).…”
Section: Unbiased Quantitative Proteomic Profiling Identifies Clustermentioning
confidence: 99%
“…State-of-the-art high-throughput proteomics approaches are capable of identifying and detecting subtle changes in protein levels even for low abundance protein species [ 114 ], which make them an anticipated tool for EV research. Notably, the bulk of data generated to date has allowed the depiction of organelle maps by proteomic profiling, also covering the endosomal compartment (see [ 115 ] for a review). Far from classic label-free approaches, advances in relatively new labeling methods (i.e., TMT, iTRAQ, or SILAC) [ 116 ] and the application of robust quantification algorithms are also highly recommendable [ 117 ].…”
Section: Downstream Applications Using Ad-evsmentioning
confidence: 99%