2020
DOI: 10.1002/wdev.392
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Proximity‐dependent labeling methods for proteomic profiling in living cells: An update

Abstract: Characterizing the proteome composition of organelles and subcellular regions of living cells can facilitate the understanding of cellular organization as well as protein interactome networks. Proximity labeling-based methods coupled with mass spectrometry (MS) offer a high-throughput approach for systematic analysis of spatially restricted proteomes. Proximity labeling utilizes enzymes that generate reactive radicals to covalently tag neighboring proteins. The

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Cited by 78 publications
(67 citation statements)
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“…There are many examples of non-catalytic accessory functions of epigenetic enzymes regulating both histone 76,77 and DNA modifications [78][79][80] . Future studies interrogating the replication fork-associated proteome 81 in cells with and without mutant DNMT3A in addition to differential recruitment of DNA repair proteins to chromatin and proximity-labeling proteomics approaches 82,83 will be necessary to clarify its role in preserving DNA integrity. This emerging knowledge will be instructive to develop further therapeutic combination strategies.…”
Section: Discussionmentioning
confidence: 99%
“…There are many examples of non-catalytic accessory functions of epigenetic enzymes regulating both histone 76,77 and DNA modifications [78][79][80] . Future studies interrogating the replication fork-associated proteome 81 in cells with and without mutant DNMT3A in addition to differential recruitment of DNA repair proteins to chromatin and proximity-labeling proteomics approaches 82,83 will be necessary to clarify its role in preserving DNA integrity. This emerging knowledge will be instructive to develop further therapeutic combination strategies.…”
Section: Discussionmentioning
confidence: 99%
“…Besides the utilities described in this paper, HA Frankenbody could be applied to proximity labeling of HA-tagged POI by HA Frankenbody-APEX2 or BioID (Bosch et al, 2021), visualization of HA-POI in the extracellular space in vivo by a secreted form of HA Frankenbody, and so on. Our study provides a new platform for the functional analysis of HA-tagged proteins in vivo.…”
Section: Discussionmentioning
confidence: 99%
“…Multiple transgenic strains with a protein of interest (POI) harboring different tags are needed for in vivo functional analysis (Kanca et al, 2017). For example, a transgenic line with an epitope tag-fused construct for immunostaining or immunoprecipitation (Vandemoortele et al, 2019), a GFP or RFP-fused construct for live imaging (Dunst and Tomancak, 2019), a biotin ligase-fused construct for proximity labeling (Bosch et al, 2020), or an RFP-GFP tandem fluorescent-fused construct to monitor autophagic degradation in lysosomes (Kimura et al, 2007). Transgenesis methods introducing a tagged construct at a secondary site are well established in Drosophila (Venken and Bellen, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…It allows most of the study of protein complexes in situ and in vivo TPCA profiling can be rapidly deployed to unravel the assembly state of protein complexes across cellular state, cell type, tissue and physiological conditions to provide insight into their functions in normal and diseased cells kinetics and over 30-fold increased signal-to-noise ratio compared to BirA* [18]. Horseradish peroxidase (HRP) can also convert a substrate into free radicals in the presence of H 2 O 2, thus covalently label neighbouring proteins on electron-rich amino acids [19]. However, HRP is mainly used for proximity labelling in oxidizing environments, such as the extracellular surface, due to its low reactivity in the reducing environment [20][21][22].…”
Section: Prosmentioning
confidence: 99%
“…The stability and activity of APEX2 were further improved by Huang et al by introducing a version of cysteine-free APEX2 with C32S mutation [27]. The directed evolution of proximity labelling components is discussed in detail by Bosch et al [19].…”
Section: Prosmentioning
confidence: 99%