2022
DOI: 10.1021/acs.jproteome.2c00180
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1DE-MS Profiling for Proteoform-Correlated Proteomic Analysis, by Combining SDS-PAGE, Whole-Gel Slicing, Quantitative LC–MS/MS, and Reconstruction of Gel Distributions of Several Thousands of Proteins

Abstract: SDS-PAGE has often been used in proteomic analysis, but generally for sample prefractionation although the technique separates proteins by molecular masses (M w s) and the information would contribute to proteoform-level analysis. Here, we report a method that combines SDS-PAGE, whole-gel slicing, and quantitative LC− MS/MS for establishing gel distributions of several thousand proteins in a proteome. A previously obtained data set on rat cerebral cortex with cerebral ischemia-reperfusion injury 1 was analyzed… Show more

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“…High-resolution native MS techniques have been developed to study the dynamic nature of protein complexes [147][148][149]. Very large protein species that can often not be properly separated by conventional 2D-GE can be analyzed by combining 1D-GE, liquid chromatography and tandem MS (GeLC-MS/MS) methodology [139][140][141]. The stabilization of sensitive protein-protein interactions in skeletal muscle tissues can be supported by chemical cross-linking [142], a method that is becoming increasingly used to study dynamic protein conformations [80,81,84].…”
Section: Large-scale Protein Separation and Top-down Proteomicsmentioning
confidence: 99%
“…High-resolution native MS techniques have been developed to study the dynamic nature of protein complexes [147][148][149]. Very large protein species that can often not be properly separated by conventional 2D-GE can be analyzed by combining 1D-GE, liquid chromatography and tandem MS (GeLC-MS/MS) methodology [139][140][141]. The stabilization of sensitive protein-protein interactions in skeletal muscle tissues can be supported by chemical cross-linking [142], a method that is becoming increasingly used to study dynamic protein conformations [80,81,84].…”
Section: Large-scale Protein Separation and Top-down Proteomicsmentioning
confidence: 99%