Mosleygustafson4225

In recent years, mass spectrometry-based proteomics approach has made significant progress and the number of datasets related to various proteomics projects has increased worldwide. To promote the sharing and reuse of promising datasets, it is important to build an appropriate, high-quality public data repository. For this purpose, several repositories have already been created. The jPOST repository that we developed in 2016 has successfully implemented several unique features, such as fast file upload, flexible file management, and an easy-to-use interface. In addition, this repository is an official member of the ProteomeXchange Consortium established to facilitate standard data submission and global dissemination of mass spectrometry proteomics data. Our repository contributes to the global partnership for sharing and storing all the datasets related to various proteomics experiments.Shotgun proteomics is the inferential analysis of proteoforms using peptide proxies produced by enzyme-catalyzed hydrolysis of entire proteomes. Such peptides are usually identified by nanoflow liquid chromatography coupled to tandem mass spectrometry analysis (nLC-MS/MS). Traditionally, MS/MS analysis is performed in data-dependent acquisition (DDA) mode, which usually produces a pattern of fragment masses unique to a single peptide's fragmentation. Here, I describe a statistically rigorous qualitative and quantitative computational analysis for shotgun proteomics DDA analysis using free open-source software tools. MS/MS data are used to identify peptides, and the area of peptide mass/charge over chromatographic elution is used to quantify peptides. All peptides that uniquely map to a protein sequence predicted from the genome are combined into a single protein quantity, which can then be compared across experimental conditions. Statistically significant protein changes can be summarized using gene ontology or pathway term enrichment analysis.In living cells, most proteins are organized in stable or transient functional assemblies, protein complexes, which control a multitude of vital cellular processes such as cell cycle progression, metabolism, and signal transduction. Over several decades, specific protein complexes have been analyzed by structural biology methods, initially X-ray crystallography and more recently single particle cryoEM. In parallel, mass spectrometry (MS)-based methods including in vitro affinity-purification coupled to MS or in vivo protein proximity-dependent labeling methods have proven particularly effective to detect complexes, thus nominating new assemblies for structural analysis. Those approaches, however, are either of limited in throughput or require specifically engineered protein systems.In this chapter, we present protocols for a workflow that supports the parallel analysis of multiple complexes from the same biological sample with respect to abundance, subunit composition, and stoichiometry. It consists of the separation of native complexes by size-exclusion chromatography (SEC) and the subsequent mass spectrometric analysis of the proteins in consecutive SEC fractions. In particular, we describe (1) optimized conditions to achieve native protein complex separation by SEC, (2) the preparation of the SEC fractions for MS analysis, (3) the acquisition of the MS data at high throughput via SWATH/DIA (data-independent analysis) mass spectrometry and short chromatographic gradients, and (4) a set of bioinformatic tools for the targeted analysis of protein complexes. Altogether, the parallel measurement of a high number of complexes from a single biological sample results in unprecedented system-level insights into the remodeling of cellular protein complexes in response to perturbations of a broad range of cellular systems.In this chapter, we describe a rapid workflow for the shotgun global phosphoproteomics analysis. The strategy is based on the use of accelerated in-solution trypsin digestion under an ultrasonic field by high-intensity focused ultrasound (HIFU) coupled to titanium dioxide (TiO2) selective phosphopeptide enrichment, fractionation by strong cation exchange chromatography (SCX), and analysis by liquid chromatography-tandem mass spectrometry (LC-MS/MS) in a high-resolution mass spectrometer (LTQ-Orbitrap XL). The strategy was optimized for the global phosphoproteome analysis of Jurkat T-cells. Using this accelerated workflow, HIFU-TiO2-SCX-LC-MS/MS, 15,367 phosphorylation sites from 13,029 different phosphopeptides belonging to 3,163 different phosphoproteins can be efficiently identified in less than 15 h.Protein phosphorylation is a critical posttranslational modification (PTM), with cell signaling networks being tightly regulated by protein phosphorylation. Despite recent technological advances in reversed-phase liquid chromatography (RPLC)-mass spectrometry (MS)-based proteomics, comprehensive phosphoproteomic coverage in complex biological systems remains challenging, especially for hydrophilic phosphopeptides that often have multiple phosphorylation sites. Herein, we describe an MS-based phosphoproteomics protocol for effective quantitative analysis of hydrophilic phosphopeptides. Smad2 phosphorylation This protocol was built upon a simple tandem mass tag (TMT)-labeling method for significantly increasing peptide hydrophobicity, thus effectively enhancing RPLC-MS analysis of hydrophilic peptides. Through phosphoproteomic analyses of MCF7 cells, this method was demonstrated to greatly increase the number of identified hydrophilic phosphopeptides and improve MS signal detection. With the TMT labeling method, we were able to identify a previously unreported phosphopeptide from the G protein-coupled receptor (GPCR) CXCR3, QPpSSSR, which is thought to be important in regulating receptor signaling. This protocol is easy to adopt and implement and thus should have broad utility for effective RPLC-MS analysis of the hydrophilic phosphoproteome as well as other highly hydrophilic analytes.Carbonylation is a nonenzymatic irreversible posttranslational protein modification and the main hallmark of protein oxidative damage. Elevated levels of protein carbonyl groups have been detected in age-related and metabolic diseases such as obesity, diabetes, Alzheimer, Parkinson, and several other oxidative stress-related maladies. Interestingly, many studies have shown that only a subset of proteins is carbonylated under the conditions of oxidative stress, demonstrating that carbonylation is a highly selective process. As a consequence, identifying and quantifying the disease-induced changes on a certain carbonylome are crucial to understanding the etiology and progression of numerous diseases and then designing adequate prevention/palliation strategies. However, the low abundance of carbonylated proteins in vivo, the enormous diversity of reactive species, and their relative lability make the analysis of carbonylated proteins a challenging task for redox proteomic technology. Therefore, we present a proteomic approach based on the labeling of carbonyls formed in vivo on proteins using the fluorescein 5-thiosemicarbazide (FTSC) tag to detect the subset of carbonylated proteins among a complex mixture of proteins regardless of the nature of carbonyl adduct, isolation and relative quantification of carbonylated proteins in 2D gel electrophoresis, and protein identification by LC-MS/MS analysis.