Journal of Proteome Research最新文献

Targeted mass spectrometry (MS) methods are powerful tools for the selective and sensitive analysis of peptides identified in global discovery experiments. Selected reaction monitoring (SRM) is the most widely accepted clinical MS method due to its reliability and performance. However, SRM and parallel reaction monitoring (PRM) are limited in throughput and are typically used for assays with around 100 targets or fewer. Here we introduce a new MS platform featuring a quadrupole mass filter, collision cell, and linear ion trap architecture, capable of targeting 5000-8000 peptides per hour. This high multiplexing capability is facilitated by acquisition rates of 70-100 Hz and real-time chromatogram alignment. We present a Skyline external software tool for building targeted methods based on data-independent acquisition chromatogram libraries or unscheduled analysis of heavy labeled standards. Our platform demonstrates ∼10× lower limits of quantitation (LOQs) than traditional SRM on a triple quadrupole instrument for highly multiplexed assays, due to parallel product ion accumulation. Finally, we explore how analytical figures of merit vary with method duration and the number of analytes, providing insights into optimizing assay performance.

Pharmacological targeting of metabolic pathways represents an appealing strategy to selectively kill cancer cells while promoting antitumor functions of stromal cells. In this study, we assessed the effectiveness of 13 metabolic drugs (MDs) in steering in vitro generated breast tumor-educated macrophages (TEMs) toward an antitumoral phenotype. For that, the production of vascular endothelial growth factor (VEGF) and tumor necrosis factor α (TNF-α), two important regulators of tumor progression, was evaluated. Notably, dichloroacetate (DCA), 6-aminonicotinamide (6-AN), and etomoxir decreased VEGF production and enhanced TNF-α release. Hence, we further clarified their impact on TEM metabolism using an untargeted NMR-based metabolomics approach. DCA downregulated glycolysis and enhanced the utilization of extracellular substrates like lactate while reconfiguring lipid metabolism. Several DCA-induced changes significantly correlated with heightened TNF-α production in response to pro-inflammatory stimulation. The inhibition of the pentose phosphate pathway by 6-AN was accompanied by enhanced glutaminolysis, which correlated with a decreased level of VEGF production. In etomoxir-treated TEM, inhibition of fatty acid oxidation was compensated through upregulation of glycolysis, catabolism of intracellular amino acids, and consumption of extracellular branched chain alpha-ketoacids (BCKA) and citrate. Overall, our results offer a comprehensive view of the metabolic signature of each MD in breast TEM and highlight putative correlations with phenotypic effects.

Tandem mass spectrometry (MS/MS) is the gold standard for intact glycopeptide identification, enabling peptide sequence elucidation and site-specific localization of glycan compositions. Beam-type collisional activation is generally sufficient for N-glycopeptides, while electron-driven dissociation is crucial for site localization in O-glycopeptides. Modern glycoproteomic methods often employ multiple dissociation techniques within a single LC-MS/MS analysis, but this approach frequently sacrifices sensitivity when analyzing multiple glycopeptide classes simultaneously. Here we explore the utility of intelligent data acquisition for glycoproteomics through real-time library searching (RTLS) to match oxonium ion patterns for on-the-fly selection of the appropriate dissociation method. By matching dissociation method with glycopeptide class, this autonomous dissociation-type selection (ADS) generates equivalent numbers of N-glycopeptide identifications relative to traditional beam-type collisional activation methods while also yielding comparable numbers of site-localized O-glycopeptide identifications relative to conventional electron transfer dissociation-based methods. The ADS approach represents a step forward in glycoproteomics throughput by enabling site-specific characterization of both N-and O-glycopeptides within the same LC-MS/MS acquisition.

Multiple sclerosis (MS) is one of the most common neurodegenerative diseases, causing demyelination and inflammation in the central nervous system. The pathology of MS has been extensively studied using the experimental autoimmune encephalomyelitis (EAE) mouse model. However, the molecular mechanisms are still largely unclear and require further investigation. In this study, we carried out quantitative proteomic analysis of the brain and spinal cord tissues in mice induced with EAE using a data-independent acquisition strategy and identified 744 differentially regulated proteins in the brain and 741 in the spinal cord. The changed proteins were highly related with phagocytosis, lysosomal enzymes, inflammasome activation, complements, and synaptic loss processes. Moreover, gene set enrichment analysis revealed the elevation of the SUMOylation process in EAE with the increase of SUMOylation-related enzymes and modification targets. Furthermore, to test the possibility of treating MS by targeting SUMOylation, we explored the application of a selective SUMO E1 inhibitor, TAK-981. Intriguingly, TAK-981 suppressed the global SUMOylation level in the brain and significantly alleviated the symptoms of EAE in mice. Our findings contribute to a better understanding of MS pathology, reveal the important role of SUMOylation in disease progression, and demonstrate the potential of the SUMO E1 inhibitor as a novel treatment for MS.

The species identification of leather artifacts is of great significance for studying the use and spread of ancient leathers; however, the absence of effective detection methods remains an obstacle. Here, we performed a shotgun proteomic analysis to identify the protein composition of ancient leather artifacts. Based on the Swiss-Prot database, 154 proteins were identified. We investigated these proteins using molecular evolution, structural domain, and sequence alignment analyses to select suitable proteins. Two proteins, Kelch-like family member 17 (KLHL17) and Nance-Horan Syndrome actin remodeling regulator (NHS), were selected for antibody preparation. Their binding affinities were determined by antibody potency and surface plasmon resonance (SPR). Furthermore, we developed and optimized an enzyme-linked immunosorbent assay (ELISA) suitable for the species identification of ancient leather artifacts. Two antibodies specifically identified the species of leather samples from goats and cattle, respectively. We established a new method with the advantages of portability, cost-effectiveness, and high sensitivity that was applied to leather species identification. Our study provides an effective detection tool for archeological leather artifacts utilizing the classical proteomics approach and ELISA technique. In addition, this study provides insights into the development of new protein-based methods for the identification of cultural relics.

The widespread use of pesticides, particularly in combinations, has resulted in enhanced hazardous health effects. However, little is known about their molecular mechanism of interactions. The aim of this study was to assess the neurotoxicity effect of pesticides in mixtures by adopting a 3D in vitro developed neurospheroid model, followed by treatment by increased concentrations of pesticides for 24 h and analysis by a shotgun proteomic-based approach with high-resolution tandem mass spectrometry. Three proteins, namely, glyceraldehyde-3-phosphate-dehydrogenase (GAPDH), α-enolase, and phosphoglycerate-kinase-1, were selected as key targets in the metabolic process. Only high doses of pesticides mitigated cell-density proliferation with the occurrence of apoptotic cells, which unlikely makes any neurological alterations in environmental regulatory exposures. The proteomic analysis showed that majority of altered proteins were implicated in cell metabolism. De novo peptide sequencing revealed ion losses and adduct formation, namely, a trityl-post-translational modification in the active site of 201-GAPDH protein. The study also highlights the plausible role of pyrethroids to be implicated in the deleterious effects of pesticides in a mixture. To the best of our knowledge, our finding is the first in toxicoproteomics to deeply elucidate pesticides' molecular interactions and their ability to adduct proteins as a pivotal role in the neurotoxicity mechanism.

High-altitude exposure can adversely affect neurocognitive functions; however, the underlying mechanisms remain elusive. Why and how does high-altitude exposure impair neurocognitive functions, particularly sleep? This study seeks to identify the molecular markers and mechanisms involved, with the goal of forming prevention and mitigation strategies for altitude sickness. Using serum proteomics and metabolomics, we analyzed blood samples from 23 Han Chinese plain dwellers before and after six months of high-altitude work in Tibet. The correlation analysis revealed biomarkers associated with cognitive alterations. Six months of high-altitude exposure significantly compromised cognitive function, notably, sleep quality. The key biomarkers implicated include SEPTIN5, PCBP1, STIM1, UBE2L3/I/N, amino acids (l/d-aspartic acid and l-glutamic acid), arachidonic acid, and S1P. Immune and neural signaling were suppressed, with sex-specific differences observed. This study innovatively identified GABA, arachidonic acid, l-glutamic acid, 2-arachidonoyl glycerol, and d-aspartic acid as biomarkers and elucidated the underlying mechanisms contributing to high-altitude-induced neurocognitive decline with a particular focus on sleep disruption. These findings pave the way for developing preventive measures and enhancing adaptation strategies. This study underscores the physiological significance of high-altitude adaptation, raising new questions about sex-specific responses and long-term consequences. It sets the stage for future research exploring individual variability and intervention efficacy.

Neuroendocrine prostate cancer (NEPC) is an aggressive androgen-independent PCa (AIPC) that tends to resist treatment. Understanding its progression and resistance could improve survival outcomes. Previous studies on PCa cells highlighted microsomal proteins' role in PCa progression, but their role in the progression of NEPC remains unclear. Thus, we investigated microsomal proteins in in vitro differentiated NE-LNCaP cells and their role in NED of PCa. Microsomal proteomics revealed two cancer-associated proteins GDF-15 and MVP as elevated in NE-LNCaP cells with GDF-15 among the top 5 upregulated proteins. MVP is elevated in NE-LNCaP and is also increased in NCI-H660 microsomes compared to LNCaP. GO and protein network analysis showed that different molecular networks are affected by microsomal protein enrichment, and MVP and GDF-15 are mapped to functional subnetworks associated with cancer. Remarkably, GDF-15 and MVP are essential for LNCaP cell differentiation when stimulated with Forskolin. Interestingly, AKT and MAPK/ERK signaling pathways are significantly upregulated in NE-LNCaP and NCI-H660 cells with the direct involvement of GDF-15. In summary, we have uncovered that GDF-15 and MVP are involved in NED, with MVP being essential for GDF-15 secretion, promoting NED in PCa cells. These findings provide insights into NED mechanisms and suggest potential therapeutic targets or biomarkers for NEPC.

O-Acetylation is a significant chemical modification of sialic acids on glycoproteins with diverse biological functions. As two important animal models, mice and rats have been widely used for various biomedical studies. In this study, we show that the sialic acid types and their O-acetylation patterns have large differences among serum glycoproteins of humans, rats, and mice. Based on intact N-glycopeptide analyses, all sialoglycopeptides in human sera were modified by Neu5Ac without any O-acetylation; 90% of sialoglycopeptides in rat sera were also modified by Neu5Ac, with more than 60% that were further O-acetylated. In contrast, 99% of sialoglycopeptides in mouse sera contained Neu5Gc including 12% in O-acetylated forms. Among all O-acetylated N-glycans, rat sera had hybrid glycans fivefold those of mouse sera, while mouse sera contained 5.5-fold core-fucosylated glycans and 4.6-31.5-fold mono-/penta-/hexa-antenna glycans compared to mice. The overall O-acetylation proportions of serum glycoproteins in rats were much higher than those in mice, and diverse O-acetylation proportions also commonly existed at different glycosites of the same glycoproteins. This study enhances our understanding of O-acetylated sialoglycan diversities and underscores the necessity of considering glycosylation profiles when selecting suitable animal models for various biomedical studies.

The study of circulating peptides in the blood offers significant opportunities for diagnosing, stratifying, and managing various diseases. With recent technological advances and the ongoing need to understand complex diseases such as acute leukemias (AL), peptidomic analysis of peripheral blood, especially serum and plasma, has become increasingly important for studying human biology and pathophysiology. Here, we provide insights and perspectives on technological developments and potential clinical applications using widely used peptidomic analysis methods. We discuss examples where peptidomics using serum or plasma has contributed to the understanding of AL. Specifically, we highlight the scarcity of peptidomic studies applied to AL and emphasize the importance of exploring this area, as the few published studies present promising results that can significantly contribute to precision medicine.