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PubMed2003

The Nuclear Protein Database (NPD): sub-nuclear localisation and functional annotation of the nuclear proteome.

The Nuclear Protein Database (NPD) is a curated database that contains information on more than 1300 vertebrate proteins that are thought, or are known, to localise to the cell nucleus. Each entry is annotated with information on predicted protein size and isoelectric point, as well as any repeats, motifs or domains within the protein sequence. In addition, information on the sub-nuclear localisation of each protein is provided and the biological and molecular functions are described using Gene Ontology (GO) terms. The database is searchable by keyword, protein name, sub-nuclear compartment and protein domain/motif. Links to other databases are provided (e.g. Entrez, SWISS-PROT, OMIM, PubMed, PubMed Central). Thus, NPD provides a gateway through which the nuclear proteome may be explored. The database can be accessed at http://npd.hgu.mrc.ac.uk and is updated monthly.

Amino Acid Sequence↗
PubMed2006

IntNetDB v1.0: an integrated protein-protein interaction network database generated by a probabilistic model.

BACKGROUND: Although protein-protein interaction (PPI) networks have been explored by various experimental methods, the maps so built are still limited in coverage and accuracy. To further expand the PPI network and to extract more accurate information from existing maps, studies have been carried out to integrate various types of functional relationship data. A frequently updated database of computationally analyzed potential PPIs to provide biological researchers with rapid and easy access to analyze original data as a biological network is still lacking. RESULTS: By applying a probabilistic model, we integrated 27 heterogeneous genomic, proteomic and functional annotation datasets to predict PPI networks in human. In addition to previously studied data types, we show that phenotypic distances and genetic interactions can also be integrated to predict PPIs. We further built an easy-to-use, updatable integrated PPI database, the Integrated Network Database (IntNetDB) online, to provide automatic prediction and visualization of PPI network among genes of interest. The networks can be visualized in SVG (Scalable Vector Graphics) format for zooming in or out. IntNetDB also provides a tool to extract topologically highly connected network neighborhoods from a specific network for further exploration and research. Using the MCODE (Molecular Complex Detections) algorithm, 190 such neighborhoods were detected among all the predicted interactions. The predicted PPIs can also be mapped to worm, fly and mouse interologs. CONCLUSION: IntNetDB includes 180,010 predicted protein-protein interactions among 9,901 human proteins and represents a useful resource for the research community. Our study has increased prediction coverage by five-fold. IntNetDB also provides easy-to-use network visualization and analysis tools that allow biological researchers unfamiliar with computational biology to access and analyze data over the internet. The web interface of IntNetDB is freely accessible at http://hanlab.genetics.ac.cn/IntNetDB.htm. Visualization requires Mozilla version 1.8 (or higher) or Internet Explorer with installation of SVGviewer.

Algorithms↗
PubMed2006

Analysis of posttranslational modifications exemplified using protein kinase A.

With the completion of the major genome projects, one focus in biomedical research has shifted from the analysis of the rather static genome to the highly dynamic proteome. The sequencing of whole genomes did not lead to much anticipated insights into disease mechanisms; however, it paved the way for proteomics by providing the databases for protein identification by peptide mass fingerprints. The relative protein distribution within a cell or tissue is subject to change upon external and internal stimuli. Signal transduction events extend beyond a simple change in protein levels; rather they are governed by posttranslational modifications (PTMs), which provide a quick and efficient way to modulate cellular signals. Because most PTMs change the mass of a protein, they are amenable to analysis by mass spectrometry. Their investigation adds a level of functionality to proteomics, which can be expected to greatly aid in the understanding of the complex cellular machinery involved in signal transduction, metabolism, differentiation or in disease. This review provides an overview on posttranslational modifications exemplified on the model system cAMP-dependent protein kinase. Strategies for detection of selected PTMs are described and discussed in the context of protein kinase function.

Acylation↗
PubMed2003

Acute oxygen sensing in cellular models: relevance to the physiology of pulmonary neuroepithelial and carotid bodies.

The combination of studies in native tissues and immortalised model systems during the last decade has made possible a deeper understanding of the physiology and functional morphology of arterial and airway oxygen sensors. Complementary and overlapping information from these earlier studies has allowed a detailed description of the cellular events that link decreased environmental oxygen to the release of physiologically important vasoactive transmitters. Since these basic pathways have now been defined functionally, what remains to be determined is the molecular identity of the specific proteins involved in the signal transduction pathways, and how these proteins interact to produce a full physiological response. With these goals clearly in sight, we have embarked upon a strategy that is a novel combination of proteomics and functional genomics. It is hoped this strategy will enable us to develop and refine the initial models in order to understand more completely the process of oxygen sensing in health and disease.

Animals↗
PubMed2004

Human ORFeome version 1.1: a platform for reverse proteomics.

The advent of systems biology necessitates the cloning of nearly entire sets of protein-encoding open reading frames (ORFs), or ORFeomes, to allow functional studies of the corresponding proteomes. Here, we describe the generation of a first version of the human ORFeome using a newly improved Gateway recombinational cloning approach. Using the Mammalian Gene Collection (MGC) resource as a starting point, we report the successful cloning of 8076 human ORFs, representing at least 7263 human genes, as mini-pools of PCR-amplified products. These were assembled into the human ORFeome version 1.1 (hORFeome v1.1) collection. After assessing the overall quality of this version, we describe the use of hORFeome v1.1 for heterologous protein expression in two different expression systems at proteome scale. The hORFeome v1.1 represents a central resource for the cloning of large sets of human ORFs in various settings for functional proteomics of many types, and will serve as the foundation for subsequent improved versions of the human ORFeome.

Cloning, Molecular↗
PubMed2006

Functional analysis of the nuclear proteome of human A549 alveolar epithelial cells by HPLC-high resolution 2-D gel electrophoresis.

The airway epithelial cell plays a central role in coordinating airway inflammatory responses, where significant changes in the proteome occur in response to infectious stimuli. To further understand the spectrum of proteins and the biological processes they control, we have initially determined the nuclear proteome of human type II-like alveolar epithelial cells (A549) using a sequential method of organellar enrichment followed by HPLC prefractionation prior to 2-DE-based protein identification using MALDI-TOF MS. This approach yielded 719 high-confidence identifications, 433 mapping to unique gene identifiers. Expert classification showed that these proteins controlled chromatin remodeling, protein refolding, cytoskeletal structure, membrane function, metabolic processes, mitochondrial function, RNA binding, protein synthesis, signaling, and transcription factor activities. The proteins were mapped to gene ontology classifications, where metabolism and catalytic activity functions were significantly enriched, representing 43 and 32% of the protein set, respectively. Pathways analysis indicated a protein network affecting tumor necrosis factor-nuclear factor-kappaB signaling pathway interacting with intermediate cytoskeletal filaments. Forty-five proteins of unknown function were subjected to domain analysis and inferred to have additional nuclear functions controlling purine nucleotide metabolism and protein-protein interactions. This database represents the most comprehensive data set of mammalian nuclear proteins and will serve as a foundation for further discovery.

Cell Line, Transformed↗
PubMed2026

Assessing the diversity and functional profile of the "microbial proteome" in fermented foods.

Fermented foods are staples in diets worldwide and are known for their health benefits. Microorganisms are the key to fermented food production as they convert raw substrates into digestible, nutritious, and health-promoting products. While microbes are essential for fermented food production, their contribution to the dietary protein profile of the final food product in terms of microbial biomass is largely unknown. We analyzed proteins from 17 fermented foods using metaproteomics to identify and quantify microbial and food-derived proteins. We found that microbial proteins contribute up to 11% of the total protein content in fermented foods and comprise as much as 60% of the total number of identified proteins. These microbial proteins included many for central functions in microbial cells, such as glycolysis enzymes, translation machinery, and chaperones, as well as proteins for specialized functions that are important for the ecological niches in food fermentation, such as carbohydrate degrading enzymes and proteases. Some of these microbial proteins, such as proteases, could impact gut physiology. These findings highlight the substantial contribution of microbial proteins to the nutritional and functional profile of fermented foods, which may have important implications for interactions with the gut microbiota and health outcomes.

Fermented Foods↗
PubMed2006

Epithelial proteomics in multiple organs and tissues: similarities and variations between cells, organs, and diseases.

Epithelial cells play an important role in physiological and pathophysiological situations, with organ-, tissue-, type-, and function-specific patterns. Proteome analysis has been used to study epithelial-origin diseases and identify novel prognostic, diagnostic, and therapeutic markers. The present review compares the variation of sample preparation for epithelial proteomic analysis, search similarities, and differences of epithelial proteomics between different cells, locations, and diseases. We focus on specificity of proteomic markers for epithelial-involved diseases. Proteomic alterations in epithelial cell lines were mapped to understand protein patterns, differentiation, oncogenesis, and pathogenesis of epithelial-origin diseases. Changes of proteomic patterns depend on different epithelial cell lines, challenges, and preparation. Epithelial protein profiles associated with intracellular locations and protein function. Epithelial proteomics has been greatly developed to link clinical questions, e.g., disease severity, biomarkers for disease diagnosis, and drug targets. There is an exciting and attractive start to link epithelial proteomics with histology of clinical samples. From the present review, we can find that most of disease-associated investigation of epithelial proteomics has been focused on epithelial-origin cancer. There is a significant gap of epithelial proteomics between acute and chronic organ injury, inflammation, and multiple organ dysfunction. Epithelial proteomics will provide powerful information on the relationships between biological molecules and disease mechanisms. Epithelial proteomics strategies and approaches should become more global, multidimensional, and systemic.

Biomarkers, Tumor↗
PubMed2002

Functional genomics in neuropsychiatric disorders and in neuropharmacology.

The rapidly accumulating amount of information concerning gene and protein expression patterns produced by functional genomics, proteomics and bioinformatics is presently providing new targets for drug development. Furthermore, the analysis of gene expression in cells and tissues affected by a disease may reveal the underlying metabolic pathways and cellular processes affected. Finally, changes in gene expression may be used in either diagnostics or the monitoring of drug responses. This review focuses on advances in the use of functional genomics in neurological and neuropsychiatric diseases and neuropsychopharmacology. Although the number of published studies in this field is still limited, it already appears that this strategy may become a fruitful means in the analysis of the aetiology of neuropsychiatric disorders and the search for novel neuropharmacological drugs.

Central Nervous System Agents↗
PubMed2006

Global approaches to study Golgi function.

Enormous insights into Golgi function have been provided by yeast genetics, biochemical assays and immuno-labeling methods and the emerging picture is of a very complex organelle with multiple levels of regulation. Despite many elegant experimental approaches, it remains unclear what mechanisms transport secretory proteins and lipids through the Golgi, and even the basic structure of the organelle is debated. Recently, new, global approaches such as proteomics and functional genomics have been applied to study the Golgi and its matrix. The data produced reveals great complexity and has potential to help address major unresolved questions concerning Golgi function.

Animals↗
PubMed2025

Prior vaccination prevents overactivation of innate immune responses during COVID-19 breakthrough infection.

At this stage in the COVID-19 pandemic, most infections are "breakthrough" infections that occur in individuals with prior severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) exposure. To refine long-term vaccine strategies against emerging variants, we examined both innate and adaptive immunity in breakthrough infections. We performed single-cell transcriptomic, proteomic, and functional profiling of primary and breakthrough infections to compare immune responses from unvaccinated and vaccinated individuals during the SARS-CoV-2 Delta wave. Breakthrough infections were characterized by a less activated transcriptomic profile in monocytes and natural killer cells, with induction of pathways limiting monocyte migratory potential and natural killer cell proliferation. Furthermore, we observed a female-specific increase in transcriptomic and proteomic activation of multiple innate immune cell subsets during breakthrough infections. These insights suggest that prior SARS-CoV-2 vaccination prevents overactivation of innate immune responses during breakthrough infections with discernible sex-specific patterns and underscore the potential of harnessing vaccines in mitigating pathologic immune responses resulting from overactivation.

Immunity, Innate↗
PubMed2006

Genomic and functional evolution of the Drosophila melanogaster sperm proteome.

In addition to delivering a haploid genome to the egg, sperm have additional critical functions, including egg activation, origination of the zygote centrosome and delivery of paternal factors. Despite this, existing knowledge of the molecular basis of sperm form and function is limited. We used whole-sperm mass spectrometry to identify 381 proteins of the Drosophila melanogaster sperm proteome (DmSP). This approach identified mitochondrial, metabolic and cytoskeletal proteins, in addition to several new functional categories. We also observed nonrandom genomic clustering of sperm genes and underrepresentation on the X chromosome. Identification of widespread functional constraint on the proteome indicates that sexual selection has had a limited role in the overall evolution of D. melanogaster sperm. The relevance of the DmSP to the study of mammalian sperm function and fertilization mechanisms is demonstrated by the identification of substantial homology between the DmSP and proteins of the mouse axoneme accessory structure.

Animals↗
PubMed2005

Fabrication of protein function microarrays for systems-oriented proteomic analysis.

Protein microarrays have many potential applications in high-throughput analysis of protein function. However, simple, reproducible, and robust methods for array fabrication are required. Here we discuss the background to different routes to array fabrication and describe in detail one approach in which the purification and immobilization procedures are combined into a single step, dramatically simplifying the array fabrication process. We illustrate this approach by reference to the creation of an array of p53 variants, and discuss methods for assay and data analysis on such arrays.

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

N-terminal N-myristoylation of proteins: refinement of the sequence motif and its taxon-specific differences.

N-terminal N-myristoylation is a lipid anchor modification of eukaryotic and viral proteins targeting them to membrane locations, thus changing the cellular function of modified proteins. Protein myristoylation is critical in many pathways; e.g. in signal transduction, apoptosis, or alternative extracellular protein export. The myristoyl-CoA:protein N-myristoyltransferase (NMT) recognizes the sequence motif of appropriate substrate proteins at the N terminus and attaches the lipid moiety to the absolutely required N-terminal glycine residue. Reliable recognition of capacity for N-terminal myristoylation from the substrate protein sequence alone is desirable for proteome-wide function annotation projects but the existing PROSITE motif is not practical, since it produces huge numbers of false positive and even some false negative predictions. As a first step towards a new prediction method, it is necessary to refine the sequence motif coding for N-terminal N-myristoylation. Relying on the in-depth study of the amino acid sequence variability of substrate proteins, on binding site analyses in X-ray structures or 3D homology models for NMTs from various taxa, and on consideration of biochemical data extracted from the scientific literature, we found indications that, at least within a complete substrate protein, the N-terminal 17 protein residues experience different types of variability restrictions. We identified three motif regions: region 1 (positions 1-6) fitting the binding pocket; region 2 (positions 7-10) interacting with the NMT's surface at the mouth of the catalytic cavity; and region 3 (positions 11-17) comprising a hydrophilic linker. Each region was characterized by physical requirements to single sequence positions or groups of positions regarding volume, polarity, backbone flexibility and other typical properties of amino acids (http://mendel.imp.univie.ac.at/myristate/). These specificity differences are confined partly to taxonomic ranges and are proposed for the design of NMT inhibitors in pathogenic fungal and protozoan systems including Aspergillus fumigatus, Leishmania major, Trypanosoma cruzi, Trypanosoma brucei, Giardia intestinalis, Entamoeba histolytica, Pneumocystis carinii, Strongyloides stercoralis and Schistosoma mansoni. An exhaustive search for NMT-homologues led to the discovery of two putative entomopoxviral NMTs.

Acyltransferases↗
PubMed2001

Functional demonstration of connexin-protein binding using surface plasmon resonance.

Surface plasmon resonance (SPR) allows examination of protein-protein interactions in real time, from which both binding affinities and kinetics can be directly determined. We have used the SPR technique to search for proteins in heart tissue that would be candidate binding partners for the cardiac gap junction protein, connexin43 (Cx43). Heart lysate showed a strong, pH-dependent binding to the carboxyl terminus (CT) of Cx43 (amino acids 254-382) covalently linked to an SPR cuvette. Binding was inhibited by the presence of v-src transfected 3T3 cell lysate, suggesting that binding partners in these two lysates may compete for overlapping epitopes on Cx43CT. The combined application of proteomic and functional studies is expected to identify which proteins within heart tissue interact with Cx43 and what roles they may play in gap junction function.

3T3 Cells↗
PubMed2004

The role of emerging genomics and proteomics technologies in cancer drug target discovery.

Cancer drugs have traditionally been identified in screens designed to produce broad biological end points such as cell death. A serious undesired outcome of drugs discovered in these screens is that the mechanism of drug action is unknown and such drugs often have adverse side effects. Designing cancer drugs that act on specific targets offer the advantage that the mechanism of drug action can be understood and accurately monitored in clinical trials leading to development of better drugs. The pharmacological industry has recently shifted to a target directed drug discovery model. However, until recently potential cancer drug targets comprised of only a small fraction of the human genome. The human genome project and high-throughput structural and functional genomics have dramatically increased the number of cancer drug targets. Deciphering cancer drug targets requires the understanding of biochemical pathways that are affected in the cancer genome. It has been suggested that utilization of Single-nucleotide polymorphisms (SNPs) will aid in identifying individuals at high risk of developing certain cancers, and will also help in development of tailored medication or identify genetic profiles of specific drug action and toxicity. Achieving successful new cancer drug development schemes will require a merger of research disciplines that include pharmacology, genomics, comparative genomics, functional genomics, proteomics and bioinformatics. In this review the significance and challenges of these rapidly evolving technologies in cancer drug target discovery are discussed.

Animals↗
PubMedDate not supplied

[Global analysis strategies. Toward the genetic management of neoplasias].

Biomedical research in oncological diseases, particularly focused on the study and understanding of the molecular mechanisms involved in cellular transformation, is opening new possibilities for the development of new and more efficient strategies for diagnosis and treatment. The generation and practical application of the results derived from molecular genetic studies in cancer, has evolved in parallel with the development of technological tools that allow us to get a global vision of diverse cellular processes, both in the normal and pathological states. This combination of basic research and technological application, has created methodologies that allow us to analyze the three principal levels of Molecular Genetics, the Genome (DNA, archive of the genetic information), the Transcriptome (RNA, expression of the genetic information), and finally, the Proteome (proteins, functional aspect of the genetic information). The vast amount of information obtained due to these advancements has begun to modify our fundamental vision about oncological diseases, and together with the traditional analytic tools, they hold the promise of changing the ways we classify, detect, diagnose and treat cancer. In this review, we present some of this methods for global genetic analysis, involving the three levels of genetic organization: the genome, with the Human Genome Project, comparative genomic hybridization and chromosome painting; the Transcriptome, with Serial analysis of Gene Expression and DNA microarrays; and the proteome, with bidimensional protein electrophoresis and antibody-microarrays. In each case, together with a brief description of the method, we also present the impact of every one of them on the study and management of neoplastic diseases.

Chromosome Painting↗