Dataset Information

Endogenous S-nitrosocysteine proteomic inventories identify a core of proteins in heart metabolic pathways.

ABSTRACT: Protein cysteine residues are essential for protein folding, participate in enzymatic catalysis, and coordinate the binding of metal ions to proteins. Enzymatically catalyzed and redox-dependent post-translational modifications of cysteine residues are also critical for signal transduction and regulation of protein function and localization. S-nitrosylation, the addition of a nitric oxide equivalent to a cysteine residue, is a redox-dependent modification. In this study, we curated and analyzed four different studies that employed various chemoselective platforms coupled to mass spectrometry to precisely identify S-nitrosocysteine residues in mouse heart proteins. Collectively 1974 S-nitrosocysteine residues in 761 proteins were identified and 33.4% were identified in two or more studies. A core of 75 S-nitrosocysteine residues in 44 proteins were identified in all four studies. Bioinformatic analysis of each study indicated a significant enrichment of mitochondrial proteins participating in metabolism. Regulatory proteins in glycolysis, TCA cycle, oxidative phosphorylation and ATP production, long chain fatty acid β-oxidation, and ketone and amino acid metabolism constitute the major functional pathways impacted by protein S-nitrosylation. In the cardiovascular system, nitric oxide signaling regulates vasodilation and cardiac muscle contractility. The meta-analysis of the proteomic data supports the hypothesis that nitric oxide signaling via protein S-nitrosylation is also a regulator of cardiomyocyte metabolism that coordinates fuel utilization to maximize ATP production. As such, protein cysteine S-nitrosylation represents a third functional dimension of nitric oxide signaling in the cardiovascular system to ensure optimal cardiac function.

SUBMITTER: Lau B

PROVIDER: S-EPMC8497991 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:Cysteine S-nitrosylation is a post-translational modification regulating protein function and nitric oxide signaling. Herein the selectivity, reproducibility, and sensitivity of a mass spectrometry-based proteomic method for the identification of endogenous S-nitrosylated proteins are outlined. The method enriches for either S-nitrosylated proteins or peptides through covalent binding of the cysteine sulfur with phenylmercury at pH=6.0. Phenylmercury reacts selectively and efficiently with S-nitrosocysteine since no reactivity can be documented for disulfides, sulfinic or sulfonic acids, S-glutathionylated, S-alkylated or S-sulfhydrylated cysteine residues. A specificity of 97±1% for the identification of S-nitrosocysteine peptides in mouse liver tissue is achieved by the inclusion of negative controls. The method enables the detection of 36 S-nitrosocysteine peptides starting with 5pmolS-nitrosocysteine/mg of total tissue protein. Both the percentage of protein molecules modified as well as the occupancy by S-nitrosylation can be determined. Overall, selective, sensitive and reproducible enrichment of S-nitrosylated proteins and peptides is achieved by the use of phenylmercury. The inclusion of appropriate negative controls secures the precise identification of endogenous S-nitrosylated sites and proteins in biological samples.Biological significanceThe current study describes a selective, sensitive and reproducible method for the acquisition of endogenously S-nitrosylated proteins and peptides. The acquisition of endogenous S-nitrosoproteomes provides robust data that is necessary for investigating the mechanism(s) of S-nitrosylation in vivo, the factors that govern its selectivity, the dependency of the modification on different isoforms of nitric oxide synthases (NOS), as well as the physiological functions of this protein modification. This article is part of a Special Issue entitled: Posttranslational Protein modifications in biology and Medicine.

Project description:Infections caused by Salmonella enterica, a Gram-negative facultative anaerobic bacteria belonging to the family of Enterobacteriaceae, are major threats to the health of humans and animals. The recent availability of complete genome data of pathogenic strains of the S. enterica gives new avenues for the identification of drug targets and drug candidates. We have used the genomic and metabolic pathway data to identify pathways and proteins essential to the pathogen and absent from the host.We took the whole proteome sequence data of 42 strains of S. enterica and Homo sapiens along with KEGG-annotated metabolic pathway data, clustered proteins sequences using CD-HIT, identified essential genes using DEG database and discarded S. enterica homologs of human proteins in unique metabolic pathways (UMPs) and characterized hypothetical proteins with SVM-prot and InterProScan. Through this core proteomic analysis we have identified enzymes essential to the pathogen.The identification of 73 enzymes common in 42 strains of S. enterica is the real strength of the current study. We proposed all 73 unexplored enzymes as potential drug targets against the infections caused by the S. enterica. The study is comprehensive around S. enterica and simultaneously considered every possible pathogenic strain of S. enterica. This comprehensiveness turned the current study significant since, to the best of our knowledge it is the first subtractive core proteomic analysis of the unique metabolic pathways applied to any pathogen for the identification of drug targets. We applied extensive computational methods to shortlist few potential drug targets considering the druggability criteria e.g. Non-homologous to the human host, essential to the pathogen and playing significant role in essential metabolic pathways of the pathogen (i.e. S. enterica). In the current study, the subtractive proteomics through a novel approach was applied i.e. by considering only proteins of the unique metabolic pathways of the pathogens and mining the proteomic data of all completely sequenced strains of the pathogen, thus improving the quality and application of the results. We believe that the sharing of the knowledge from this study would eventually lead to bring about novel and unique therapeutic regimens against the infections caused by the S. enterica.

Project description:Proteomic studies are contributing greatly to our understanding of the sperm cell, and more detailed descriptions are expected to clarify additional cellular and molecular sperm attributes. The aim of this study was to characterize the subcellular proteome of the human sperm tail and, hopefully, identify less concentrated proteins (not found in whole cell proteome studies). Specifically, we were interested in characterizing the sperm metabolic proteome and gaining new insights into the sperm metabolism issue. Sperm were isolated from normozoospermic semen samples and depleted of any contaminating leukocytes. Tail fractions were obtained by means of sonication followed by sucrose-gradient ultracentrifugation, and their purity was confirmed via various techniques. Liquid chromatography and tandem mass spectrometry of isolated sperm tail peptides resulted in the identification of 1049 proteins, more than half of which had not been previously described in human sperm. The categorization of proteins according to their function revealed two main groups: proteins related to metabolism and energy production (26%), and proteins related to sperm tail structure and motility (11%). Interestingly, a great proportion of the metabolic proteome (24%) comprised enzymes involved in lipid metabolism, including enzymes for mitochondrial beta-oxidation. Unexpectedly, we also identified various peroxisomal proteins, some of which are known to be involved in the oxidation of very long chain fatty acids. Analysis of our data using Reactome suggests that both mitochondrial and peroxisomal pathways might indeed be active in sperm, and that the use of fatty acids as fuel might be more preponderant than previously thought. In addition, incubation of sperm with the fatty acid oxidation inhibitor etomoxir resulted in a significant decrease in sperm motility. Contradicting a common concept in the literature, we suggest that the male gamete might have the capacity to obtain energy from endogenous pools, and thus to adapt to putative exogenous fluctuations.

Project description:Background Identifying the mechanistic pathways potentially associated with incident heart failure (HF) may provide a basis for novel preventive strategies. Methods and Results To identify proteomic biomarkers and the potential underlying mechanistic pathways that may be associated with incident HF defined as the first hospitalization for HF, a nested-matched case-control design was used with cases (incident HF) and controls (without HF) selected from 3 cohorts (>20 000 individuals). Controls were matched on cohort, follow-up time, age, and sex. Two independent sample sets (a discovery set with 286 cases and 591 controls and a replication set with 276 cases and 280 controls) were used to discover and replicate the findings. Two hundred fifty-two circulating proteins in the plasma were studied. Adjusting for the matching variables age, sex, and follow-up time (and correcting for multiplicity of tests), 89 proteins were found to be associated with incident HF in the discovery phase, of which 38 were also associated with incident HF in the replication phase. These 38 proteins pointed to 4 main network clusters underlying incident HF: (1) inflammation and apoptosis, indicated by the expression of the TNF (tumor necrosis factor)-family members; (2) extracellular matrix remodeling, angiogenesis and growth, indicated by the expression of proteins associated with collagen metabolism, endothelial function, and vascular homeostasis; (3) blood pressure regulation, indicated by the expression of natriuretic peptides and proteins related to the renin-angiotensin-aldosterone system; and (4) metabolism, associated with cholesterol and atherosclerosis. Conclusions Clusters of biomarkers associated with mechanistic pathways leading to HF were identified linking inflammation, apoptosis, vascular function, matrix remodeling, blood pressure control, and metabolism. These findings provide important insight on the pathophysiological mechanisms leading to HF. Clinical Trial Registration: URL: https://www.clinicaltrials.gov . Unique identifier: NCT02556450.

Dataset Information

Endogenous S-nitrosocysteine proteomic inventories identify a core of proteins in heart metabolic pathways.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets