2018
DOI: 10.1002/cpcb.81
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Dynamic Organellar Maps for Spatial Proteomics

Abstract: Eukaryotic cells are highly compartmentalized and protein subcellular localization critically influences protein function. Identification of the subcellular localizations of proteins and their translocation events upon perturbation has mostly been confined to targeted studies or laborious microscopy-based methods. Here we describe a systematic mass spectrometry-based method for spatial proteomics. The approach uses simple fractionation profiling and has two applications: Firstly it can be used to infer subcell… Show more

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Cited by 17 publications
(30 citation statements)
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“…Many if not most cell biological processes are accompanied by protein subcellular localisation changes (Lundberg and Borner, 2019). Hence, we adapted our previously developed method for generating organellar maps, to pinpoint the subcellular localisations of thousands of proteins in a single experiment (Itzhak et al, 2017; 2018). The comparison of organellar maps made under different physiological conditions allows the capture of drug induced protein translocations (Itzhak et al, 2016), and thus provides a universal and scalable tool for inferences about cellular responses and drug targets.…”
Section: Resultsmentioning
confidence: 99%
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“…Many if not most cell biological processes are accompanied by protein subcellular localisation changes (Lundberg and Borner, 2019). Hence, we adapted our previously developed method for generating organellar maps, to pinpoint the subcellular localisations of thousands of proteins in a single experiment (Itzhak et al, 2017; 2018). The comparison of organellar maps made under different physiological conditions allows the capture of drug induced protein translocations (Itzhak et al, 2016), and thus provides a universal and scalable tool for inferences about cellular responses and drug targets.…”
Section: Resultsmentioning
confidence: 99%
“…Protein concentrations were estimated by BCA assay. Equal amounts of SILAC heavy reference fraction were mixed with each SILAC light subfraction, acetone precipitated and subjected to in-solution digest and stage-tip peptide cleanup as described (Itzhak et al, 2018), prior to mass spectrometric analysis.…”
Section: Methodsmentioning
confidence: 99%
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“…We previously generated six organellar maps from HeLa (duplicates of wild-type, AP4B1 knockout, and AP4E1 knockout; Davies et al, 2018), and analysed them with our established MR (movement and reproducibility) test (Itzhak et al, 2019) to identify proteins with altered subcellular localisation. Briefly, for each protein, the abundance profiles from wild-type and knockout maps were subtracted pairwise, to obtain four sets of 'delta profiles' (wild-type-AP4B1, wild-type-AP4E1, both in duplicate).…”
Section: Sensitive Statistical Analysis Of Ap-4 Knockout Dynamic Orgamentioning
confidence: 99%