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Results for “targeted proteomic analysis”

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PubMed2005

Oxidative modification of proteasome: identification of an oxidation-sensitive subunit in 26 S proteasome.

Reactive oxygen species (ROS) have the potential to damage cellular components, such as protein, resulting in loss of function and structural alteration of proteins. The oxidative process affects a variety of side amino acid groups, some of which are converted to carbonyl compounds. We have previously shown that a prostaglandin D2 metabolite, 15-deoxy-delta(12,14)-prostaglandin J2 (15d-PGJ2), is the potent inducer of intracellular oxidative stress on human neuroblastoma SH-SY5Y cells [Kondo, M., Oya-Ito, T., Kumagai, T., Osawa, T., and Uchida, K. (2001) Cyclopentenone prostaglandins as potential inducers of intracellular oxidative stress, J. Biol. Chem. 276, 12076-12083]. In the present study, to elucidate the molecular mechanism underlying the oxidative stress-mediated cell degeneration, we analyzed the protein carbonylation on SH-SY5Y cells when these cells were submitted to an endogenous inducer of ROS production. Upon exposure of SH-SY5Y cells to this endogenous electrophile, we observed significant accumulation of protein carbonyls within the cells. Proteomic analysis of oxidation-sensitive proteins showed that the major intracellular target of protein carbonylation was one of the regulatory subunits in 26 S proteasome, S6 ATPase. Accompanied by a dramatic increase in protein carbonyls within S6 ATPase, the electrophile-induced oxidative stress exerted a significant decrease in the S6 ATPase activities and a decreased ability of the 26 S proteasome to degrade substrates. Moreover, in vitro oxidation of 26 S proteasome with a metal-catalyzed oxidation system also confirmed that S6 ATPase represents the most oxidation-sensitive subunit in the proteasome. These and the observation that down-regulation of S6 ATPase by RNA interference resulted in the enhanced accumulation of ubiquitinated proteins suggest that S6 ATPase is a molecular target of ROS under conditions of electrophile-induced oxidative stress and that oxidative modification of this regulatory subunit of proteasome may be functionally associated with the altered recognition and degradation of proteasomal substrates in the cells.

Amino Acid Sequence↗

PubMed2006

New insights into molecular mechanisms of phagocytosis in Entamoeba histolytica by proteomic analysis.

The protozoan parasite Entamoeba histolytica ingests microorganisms and mammalian cells. Phagocytosis is essential for cell growth and is implicated in pathogenesis of E. histolytica. Phagocytosis consists of a number of steps including recognition of and binding to ligands on the target cells via a galactose/N-acetylgalactosamine-specific lectin, activation of a signaling pathway leading to cytoskeletal reorganization, and vesicle trafficking, all of which play distinct but coordinated roles in phagocytosis. Recent studies of proteomic analysis of purified phagosomes or affinity-purified Gal/GalNAc-binding proteins using reversed phase capillary liquid chromatography and ion trap tandem mass spectrometry enabled high throughput identification of proteins involved in phagosome biogenesis. These studies provided a list of proteins involved in the pathway and also shed light on the dynamic process of phagosome maturation. These approaches should provide significant insights into molecular mechanisms of phagosome biogenesis and help to elucidate the pathogenesis of this important parasite.

Animals↗

PubMed2024

Chemical proteomics to study metabolism, a reductionist approach applied at the systems level.

Cellular metabolism encompasses a complex array of interconnected biochemical pathways that are required for cellular homeostasis. When dysregulated, metabolism underlies multiple human pathologies. At the heart of metabolic networks are enzymes that have been historically studied through a reductionist lens, and more recently, using high throughput approaches including genomics and proteomics. Merging these two divergent viewpoints are chemical proteomic technologies, including activity-based protein profiling, which combines chemical probes specific to distinct enzyme families or amino acid residues with proteomic analysis. This enables the study of metabolism at the network level with the precision of powerful biochemical approaches. Herein, we provide a primer on how chemical proteomic technologies custom-built for studying metabolism have unearthed fundamental principles in metabolic control. In parallel, these technologies have leap-frogged drug discovery through identification of novel targets and drug specificity. Collectively, chemical proteomics technologies appear to do the impossible: uniting systematic analysis with a reductionist approach.

Humans↗

PubMed2004

Analysis of molecular aberrations in ovarian cancer allows novel target identification.

The completion of the Human Genome Project and recent advances in functional genomic, proteomic, and high-throughput screening methodologies have provided powerful tools for determining the mechanisms of human diseases, including complex polygenic diseases such as ovarian cancer. These developments may eventually lead to individualized molecular medicine, which is the treatment of patients based on the underlying genetic defects in their tumours and their own genetic makeup. A plethora of novel therapeutic agents that act on specific molecular targets defined by cancer genetics are under development. There is thus a great deal of interest in determining how specific genes and proteins function in cancers, in order to further the understanding of cancer initiation and progression; to aid in identifying biomarkers, therapeutic targets, and determinants of drug responsiveness; and to progress the development of novel antitumour agents.

Antineoplastic Agents↗

PubMed2002

Comprehensive proteomic analysis of breast cancer cell membranes reveals unique proteins with potential roles in clinical cancer.

Proteins associated with cancer cell plasma membranes are rich in known drug and antibody targets as well as other proteins known to play key roles in the abnormal signal transduction processes required for carcinogenesis. We describe here a proteomics process that comprehensively annotates the protein content of breast tumor cell membranes and defines the clinical relevance of such proteins. Tumor-derived cell lines were used to ensure an enrichment for cancer cell-specific plasma membrane proteins because it is difficult to purify cancer cells and then obtain good membrane preparations from clinical material. Multiple cell lines with different molecular pathologies were used to represent the clinical heterogeneity of breast cancer. Peptide tandem mass spectra were searched against a comprehensive data base containing known and conceptual proteins derived from many public data bases including the draft human genome sequences. This plasma membrane-enriched proteome analysis created a data base of more than 500 breast cancer cell line proteins, 27% of which were of unknown function. The value of our approach is demonstrated by further detailed analyses of three previously uncharacterized proteins whose clinical relevance has been defined by their unique cancer expression profiles and the identification of protein-binding partners that elucidate potential functionality in cancer.

Amino Acid Sequence↗

PubMed2001

Genomic and proteomic databases: large-scale analysis and integration of data.

With the completion of the human genome draft sequencing and assembly, an upcoming targeted goal will be identifying the proteins and changes in protein expression, which are derived from the genome template. There is important information already available on many proteins that can be a valuable resource to scientists in cardiovascular medicine as well as other fields. This article will summarize many of the different databases, their content and growth, and the differences between growth of nucleic acid and protein databases. Linkage between and integration of different protein and nuclei acid databases, along with related annotation, will greatly improve the information content and knowledge base with regards to protein data.

Databases, Factual↗

PubMedDate not supplied

Genomics and proteomics: the new millennium of drug discovery and development.

One of the most pressing issues facing the pharmaceutical and biotechnology industry is the tremendous dropout rate of lead drug candidates. Over the last two decades, several new genomic technologies have been developed in hopes of addressing the issues of target identification and lead candidate optimization. Gene expression microarray is one of these technologies and this review describes the four main formats, which are currently available: (a) cDNA; (b) oligonucleotide; (c) electrokinetic; and (d) fiberoptic. Many of these formats have been developed with the goal of screening large numbers of genes. Recently, a high-throughput array format has been developed where a large number of samples can be assayed using arrays in parallel. In addition, focusing on gene expression may be only one avenue in preventing lead candidate failure. Proteomics or the study of protein expression may also play a role. Two-dimensional polyacrylamide gel electrophoresis (2-DE) coupled with mass spectroscopy has been the most widely accepted format to study protein expression. However, protein microarrays are now being developed and modified to a high-throughput screening format. Examples of several gene and protein expression studies as they apply to drug discovery and development are reviewed. These studies often result in large data sets. Examples of how several statistical methods (principal components analysis [PCA], clustering methods, Shannon entropy, etc.) have been applied to these data sets are also described. These newer genomic and proteomic technologies and their analysis and visualization methods have the potential to make the drug discovery and development process less costly and more efficient by aiding to select better target and lead candidates.

Drug Industry↗

PubMed2007

Interactions between peptides containing nucleobase amino acids and T7 phages displaying S. cerevisiae proteins.

The importance of high-throughput analyses of protein abundances and functions is interestingly increasing in genomic/proteomic studies. In such postgenome sequencing era, a protein-detecting chip, in which a large number of molecules specifically capturing target proteins (capturing agents) such as antibodies, recombinant proteins, and small molecules are arrayed onto solid, wet, or semi-wet substrates, enables comprehensive analysis of proteomes by a single experiment. However, whole proteomes are generally complicated for comprehensive analyses so that alternative approaches to subproteome analysis categorized by protein functions and binding properties (focused proteome) would be effective. Approaching the goal of development of designed peptide chip for protein analysis, diversity increases in peptide structures and validation of target proteins are needed. We herein describe design and synthesis of nucleobase amino acid (NBA)-containing peptides, selection of nucleic acid-related proteins derived from S. cerevisiae, and detection of interactions between NBA-containing peptides and T7 phages displaying proteins by both enzyme-linked immunosorbent assays (ELISA) and label-free anomalous reflection of gold (AR) measurements. Twenty-eight phage clones were obtained by the phage-display method and sequenced. Ten of 28 clones were expected to be nucleic acid-related proteins including initiation factor, TYB protein, ribosomal proteins, elongation factor, ATP synthase subunit, GTP-binding protein, and ribonuclease. Other phage clones encoded several classes of enzymes such as reductase, oxidase, aldolase, metalloprotease, and hexokinase. Both ELISA and AR measurements suggested that the methodology of in vitro selection for recognition of the NBA-containing peptide presented in this study was successfully established. Such a combination of NBA and phage display technologies would be potential to efficiently confirm valuable target proteins binding specifically to capturing agents, to be arrayed onto solid surfaces to develop the designed peptide chip.

Bacteriophage T7↗

PubMed2003

Genomic and proteomic analysis of multiple sclerosis. Opinion.

Multiple sclerosis (MS) and other autoimmune diseases result from the dysregulation of genetic and proteomic programs. In MS, the loss of immune homeostasis leads to aberrant targeting and destruction of the myelin sheath, which manifests as the clinical syndrome of MS. The advent of technologies to perform large-scale analysis of mRNA transcript and protein expression will transform our understanding of the mechanisms underlying the initiation and progression of MS, and will yield new targets for therapeutic intervention.

Animals↗

PubMed2005

Pathway proteomics: global and focused approaches.

Biological pathways represent the relationships (reactions and interactions) between biological molecules in the context of normal cellular functions and disease mechanisms. Understanding the roles of proteins and signaling pathways expressed within disease, and their link to drug discovery and drug development are central in today's target-driven pharmaceutical processes. This article gives an overview of proteomics strategies, including global expression analysis as well as focused approaches using multidimensional separation by both gel- and liquid-phase techniques linked to mass spectrometry, as applied to two of the pathways involved in inflammatory diseases. In primary human cell studies, our group has annotated and identified thousands of proteins using both electrospray ionization and matrix-assisted laser desorption ionization (MALDI)-sequencing technology. Annotations made from gel images and chromatography fractionation, interfaced to high-end mass spectrometry sequence and structure identity, are cornerstones in cutting-edge protein expression profiling. Regarding phosphorylation mechanisms of kinases, the quantitative stoichiometry can be determined using affinity probe isolations. Another strategy involves micro-preparative sample processing, which has been used to analyze single-target phosphoproteins and their relative phospho-stoichiometry.

Electrophoresis, Gel, Two-Dimensional↗

PubMed2004

Aspects of the barley seed proteome during development and germination.

Analysis of the water-soluble barley seed proteome has led to the identification of proteins by MS in the major spots on two-dimensional gels covering the pI ranges 4-7 and 6-11. This provides the basis for in-depth studies of proteome changes during seed development and germination, tissue-specific proteomes, cultivar differences related to quality parameters, analysis of the genetic basis for spot variations and targeted investigations of specific proteins.

Electrophoresis, Gel, Two-Dimensional↗

PubMed2005

Screening of human serum proteins for uranium binding.

About 20% of uranyl ions in serum are associated with the protein pool. A few of them such as transferrin have been characterized, but most still have to be identified to obtain a better explanation of the biochemical toxicology and kinetics of uranium. We designed an in vitro sensitive procedure involving a combination of bidimensional chromatography with time-resolved fluorescence, coupled with proteomic analysis, to identify uranium-binding proteins in human serum fractions. Ten novel targets were identified and validated using purified proteins and inductively coupled plasma mass spectrometry. Of these, ceruloplasmin, hemopexin, and two complement proteins displayed the capacity to bind uranium with stoichiometry greater than 1 mole of uranium per mole of protein. Not all of these targets are metalloproteins, suggesting that uranyl ions can use a wide variety of binding sites and coordination strategies. These data provide additional insights into a better understanding of uranium chemical toxicity.

Blood Proteins↗

PubMed2006

Cadmium response and redoxin targets in Chlamydomonas reinhardtii: a proteomic approach.

A proteomic approach including two-dimensional electrophoresis and MALDI-TOF analysis has been developed to identify the soluble proteins of the unicellular photosynthetic algae Chlamydomonas reinhardtii. We first described the partial 2D-picture of soluble proteome obtained from whole cells grown on acetate. Then we studied the effects of the exposure of these cells to 150 muM cadmium (Cd). The most drastic effect was the decrease in abundance of both large and small subunits of the ribulose-1,5-bisphosphate carboxylase/oxygenase, in correlation with several other enzymes involved in photosynthesis, Calvin cycle and chlorophyll biosynthesis. Other down-regulated processes were fatty acid biosynthesis, aminoacid and protein biosynthesis. On the other hand, proteins involved in glutathione synthesis, ATP metabolism, response to oxidative stress and protein folding were up-regulated in the presence of cadmium. In addition, we observed that most of the cadmium-sensitive proteins were also regulated via two major cellular thiol redox systems, thioredoxin and glutaredoxin.

Amino Acids↗

PubMed2026

ECLIPSE: exploring the dark proteome of ESKAPE pathogens through the sequence similarity network of the Protein Universe Atlas.

MOTIVATION: The accelerating crisis of antimicrobial resistance among the critical so-called ESKAPE pathogens demands the urgent identification of novel molecular targets. However, a substantial fraction of ESKAPE proteomes remains functionally uncharacterized, with many genes annotated as encoding hypothetical proteins. These protein sequences often lack significant similarity to known protein families when conventional homology-based annotation methods are used and thus remain "dark". This limits our ability to explore their roles in pathogenicity, and it is thus crucial to bridge this substantial gap in pathogen biology by developing new strategies to illuminate these "dark" regions of the ESKAPE pan-proteome. RESULTS: We introduce ECLIPSE (ESKAPE Connectome Linkage and Inference for Proteome Sequence Exploration), a network-based computational framework that systematically identifies and prioritizes functionally dark protein families in ESKAPE pan-proteomes. ECLIPSE embeds target ESKAPE pathogen proteomes within the global sequence similarity network of the Protein Universe Atlas. It detects connected components composed entirely of unannotated proteins, called the "dark proteome." As a case study, we applied ECLIPSE to a pan-proteome of 3 460 657 protein sequences from 635 strains of Pseudomonas aeruginosa (PA). ECLIPSE identified 120 985 proteins (4%) residing in completely dark connected components. Furthermore, we have performed a taxonomic diversity analysis using normalized Shannon indices to characterize each dark component by its enrichment in ESKAPE pathogens. The analysis utilized the evenness (E) value (see Methods 2.1), which distinguishes Pseudomonas-specific (target-specific) from ESKAPE-enriched dark components. We then developed the Dark Proteome Prioritization Score (DPPS), a composite multidimensional scoring framework (see Methods 2.5). It ranks these dark components by biological relevance across four orthogonal axes: (i) functional darkness, (ii) P. aeruginosa proportion in the Atlas, (iii) AMR-clade taxonomic restriction, and (iv) conservation across the 635 P. aeruginosa strains. This framework outputs a robust four-tier scoring system; the prioritized Tier I components were validated by weight sensitivity analysis and remained stable across 500 Monte Carlo weight perturbations. Structural characterization of one of the top-ranked ESKAPE-enriched dark components revealed that it belongs to the beta-barrel fold DUF1302 (PF06980) family, for which no experimentally solved three-dimensional structure exists in the PDB. The genomic context analysis indicates that it is co-localized with a LuxR-type transcriptional regulator. Collectively, ECLIPSE identifies evolutionarily conserved, structurally defined, and functionally dark proteins enriched across ESKAPE pathogens; these dark proteins can further be utilized as alternative antimicrobial targets for experimental characterization. AVAILABILITY AND IMPLEMENTATION: The source code and dataset are available for free at: Github: https://github.com/surabhilata/ECLIPSE.git, Zenodo: DOI: 10.5281/zenodo.21064323.

Proteome↗

PubMed2001

New technologies for biomarker analysis of prostate cancer progression: Laser capture microdissection and tissue proteomics.

The widespread use of serum markers during cancer screenings has led to the belief that there may be tumor markers yet to be discovered that offer better specificity and sensitivity than prostate-specific antigen (PSA). Proteomics, the analysis and characterization of global protein modifications, will add to our understanding of gene function and aid in biomarker and/or therapeutic target discovery. In the past, most proteomic studies were either performed using tumor cell lines or homogenized bulk tissue. Unfortunately, these approaches may not accurately reflect molecular events that take place in the actual ductal epithelium that change as a consequence of the malignant process. This report describes alternative proteomic-based approaches aimed at the identification of protein markers in the actual premalignant and frankly malignant epithelium.

Biomarkers, Tumor↗

PubMed2026

Region-Resolved Integrative Multi-Omic Characterization Reveals Diverse Tumor and Microenvironment Features of Pituitary Neuroendocrine Tumors.

Pituitary neuroendocrine tumors are frequently invasive, with cavernous sinus invasion leading to poor treatment outcomes and high recurrence. Regional differences within these tumors remain poorly understood, hindering targeted therapy development. Here, we present the first integrative multi-omics analysis combining proteomics, metabolomics and single-cell transcriptomics to characterize tumors from the cavernous sinus and saddle regions. Our results reveal profound regional and cellular heterogeneity: cavernous sinus tumors exhibit significantly enhanced cell proliferation, driven by cancer-associated fibroblasts through the IGF1-IGF1R-MAPK1 axis. Cancer-associated fibroblasts in the cavernous sinus secrete IGF1 under regulation of the transcription factor FOXO1, which binds to receptors on tumor cells to activate proliferation. Metabolomic profiling identifies proline as a key enriched metabolite that stimulates cancer-associated fibroblasts to produce collagen fibers, reinforcing a pro-tumorigenic microenvironment. Single-cell transcriptomics further delineates a distinct subpopulation of receptor-positive malignant cells and a high abundance of cancer-associated fibroblasts in the cavernous sinus. These findings establish core mechanisms underlying the aggressive behavior of cavernous sinus-invading tumors, providing novel actionable targets for precision therapeutic strategies tailored to distinct tumor regions.

Humans↗

PubMed2002

Both protein activation and gene expression are involved in early vascular tube formation in vitro.

PURPOSE: Gene expression and protein translation regulate and direct endothelial cell proliferation and differentiation. We initiated an unbiased global search for transcriptional changes occurring during endothelial cell vascular differentiation in vitro, focusing on genes not previously implicated in vascularization and angiogenesis. EXPERIMENTAL DESIGN: cDNA and protein from human umbilical vein endothelial cells forming vascular tubes on the basement membrane surrogate, Matrigel, were collected and subjected to a global unbiased search for alterations in expression of genes not previously linked to angiogenesis. RESULTS: Transcriptional inhibitors blocked vascular tube formation only when present within the first hour of incubation (P < 0.05). cDNA array analysis yielded 31 differentially regulated transcripts (of 5100 queried; false positive rate, 0.4%) from gene classes representing transcription, translational regulation, cell structure, and cell adhesion. mRNA levels of caldesmon, a cytoskeleton-associated protein not previously linked to angiogenesis, were markedly reduced during early tube formation. Caldesmon protein quantity was also markedly decreased as demonstrated by laser capture microdissection of tubule cells followed by immunoblotting. Strikingly, no significant changes in transcription of genes previously demonstrated to contribute to angiogenesis, invasion, or signal transduction contained on the array were observed. To investigate the possibility that posttranslational rather than transcriptional changes were involved in facilitating tube formation, we evaluated the activation status of two dominant signal pathways, RAS/mitogen-activated protein kinase and phosphatidylinositol 3-kinase/AKT. A net 3-fold reduction in phospho-AKT and a 4-fold reduction in phospho-extracellular signal-regulated kinase-1/2 occurred in a transcription-independent fashion. CONCLUSIONS: These data suggest that both changes in gene expression and transcription-independent activation of signal transduction pathways may be involved in vascular tube formation. A combination of transcriptional and proteomic analysis has the potential to identify novel transcription-dependent and -independent molecular targets of angiogenesis.

Calmodulin-Binding Proteins↗

PubMed2025

USP7 Inhibitors Destabilize EBNA1 and Suppress Epstein-Barr Virus Tumorigenesis.

Epstein-Barr virus (EBV) is a ubiquitous human ɣ-herpesvirus implicated in various malignancies, including Burkitt's lymphoma and gastric carcinomas. In most EBV-associated cancers, the viral genome is maintained as an extrachromosomal episome by the EBV nuclear antigen-1 (EBNA1). EBNA1 is considered to be a highly stable protein that interacts with the ubiquitin-specific protease 7 (USP7). Here, we show that pharmacological inhibitors and small interfering RNA (siRNA) targeting USP7 reduce EBNA1 protein levels in a proteosome-dependent manner. Proteomic analysis revealed that USP7 inhibitor GNE6776 altered the EBNA1 protein interactome, including disrupting USP7 association with EBNA1. GNE6776 also inhibited EBNA1 binding to EBV oriP DNA and reduced viral episome copy number. Transcriptomic studies revealed that USP7 inhibition affected chromosome segregation and mitotic cell division pathways in EBV+ cells. Finally, we show that GNE6776 selectively inhibited EBV+ gastric and lymphoid cell proliferation in cell culture and slowed EBV+ tumor growth in mouse xenograft models. These findings suggest that USP7 inhibitors perturb EBNA1 stability and function and may be exploited to treat EBV latent infection and tumorigenesis.

Ubiquitin-Specific Peptidase 7↗