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PubMed2006

Label-free detection methods for protein microarrays.

With the growth of the "-omics" such as functional genomics and proteomics, one of the foremost challenges in biotechnologies has become the development of novel methods to monitor biological process and acquire the information of biomolecular interactions in a systematic manner. To fully understand the roles of newly discovered genes or proteins, it is necessary to elucidate the functions of these molecules in their interaction network. Microarray technology is becoming the method of choice for such a task. Although protein microarray can provide a high throughput analytical platform for protein profiling and protein-protein interaction, most of the current reports are limited to labeled detection using fluorescence or radioisotope techniques. These limitations deflate the potential of the method and prevent the technology from being adapted in a broader range of proteomics applications. In recent years, label-free analytical approaches have gone through intensified development and have been coupled successfully with protein microarray. In many examples of label-free study, the microarray has not only offered the high throughput detection in real time, but also provided kinetics information as well as in situ identification. This article reviews the most significant label-free detection methods for microarray technology, including surface plasmon resonance imaging, atomic force microscope, electrochemical impedance spectroscopy and MS and their applications in proteomics research.

Animals↗
PubMed2003

Ontologies for proteomics: towards a systematic definition of structure and function that scales to the genome level.

A principal aim of post-genomic biology is elucidating the structures, functions and biochemical properties of all gene products in a genome. However, to adequately comprehend such a large amount of information we need new descriptions of proteins that scale to the genomic level. In short, we need a unified ontology for proteomics. Much progress has been made towards this end, including a variety of approaches to systematic structural and functional classification and initial work towards developing standardized, unified descriptions for protein properties. In relation to function, there is a particularly great diversity of approaches, involving placing a protein in structured hierarchies or more-generalized networks and a recent approach based on circumscribing a protein's function through systematic enumeration of molecular interactions.

Computational Biology↗
PubMed2006

Proteomic analysis identifies alterations in cellular morphology and cell death pathways in mouse brain after chronic corticosterone treatment.

Some patients with Major Depression and other neurological afflictions display hyperactivity of the hypothalamic-pituitary-adrenal (HPA) axis. HPA hyperactivity may be due to impaired feedback inhibition and manifested as increased levels of circulating cortisol. Subcutaneous implants of corticosterone pellets were used to mimic this situation in mice to gain insight into any effects on brain function by comparative proteomic analysis using two-dimensional Differential In-Gel Electrophoresis. A total of 150 different protein spots were altered by corticosterone treatment in the hypothalamus, hippocampus and cerebral cortex. Of these, 117 spots were identified by matrix-assisted laser desorption/ionization-time of flight mass fingerprinting equating to 51 different proteins. Association of these corticosterone-modulated proteins with biological functions using the Ingenuity Pathways Analysis tool showed that cell morphology was significantly altered in the hippocampus and cerebral cortex, whereas the hypothalamus showed significant changes in cell death. Ingenuity Pathways Analysis of the canonical signaling pathways showed that glycolysis and gluconeogenesis were altered in the hypothalamus and the hippocampus and all three brain regions showed changes in phenylalanine, glutamate and nitrogen metabolism. Further elucidation of these pathways could lead to identification of biomarkers for the development of pharmacological therapies targeted at neuropsychiatric disorders.

Animals↗
PubMed2006

Comparative proteomics of symbiotic and aposymbiotic juvenile soft corals.

The symbiotic association between corals and photosynthetic unicellular algae is of great importance in coral reef ecosystems. The study of symbiotic relationships is multidisciplinary and involves research in phylogeny, physiology, biochemistry, and ecology. An intriguing phase in each symbiotic relationship is its initiation, in which the partners interact for the first time. The examination of this phase in coral-algae symbiosis from a molecular point of view is still at an early stage. In the present study we used 2-dimensional polyacrylamide gel electrophoresis to compare patterns of proteins synthesized in symbiotic and aposymbiotic primary polyps of the Red Sea soft coral Heteroxenia fuscescens. This is the first work to search for symbiosis-specific proteins during the natural onset of symbiosis in early host ontogeny. The protein profiles reveal changes in the host soft coral proteome through development, but surprisingly virtually no changes in the host proteome as a function of symbiotic state.

Algal Proteins↗
PubMed2005

Chaperomics: in vivo GroEL function defined.

A recent proteome analysis of protein folding inside cells of Escherichia coli predicts that only 84 of the approximately 2400 cytosolic proteins expressed in minimal media depend absolutely on the GroEL/GroES chaperone system to avoid aggregation. These proteins are enriched in alpha/beta domains and 13 are essential for growth.

Bacterial Proteins↗
PubMed2005

BIOVERSE: enhancements to the framework for structural, functional and contextual modeling of proteins and proteomes.

We have made a number of enhancements to the previously described Bioverse web server and computational biology framework (http://bioverse.compbio.washington.edu). In this update, we provide an overview of the new features available that include: (i) expansion of the number of organisms represented in the Bioverse and addition of new data sources and novel prediction techniques not available elsewhere, including network-based annotation; (ii) reengineering the database backend and supporting code resulting in significant speed, search and ease-of use improvements; and (iii) creation of a stateful and dynamic web application frontend to improve interface speed and usability. Integrated Java-based applications also allow dynamic visualization of real and predicted protein interaction networks.

Computer Graphics↗
PubMed2026

Social disconnection integrates genetic and proteomic risks in suicidal ideation and depression.

Suicidal ideation (SI) and major depressive disorder (MDD) are complex psychiatric conditions arising from the interplay of genetic liability, molecular processes, and psychosocial factors. While these dimensions have been extensively studied in isolation, their joint contribution to SI and MDD remains unclear. This study integrates multi-modal data to elucidate these synergistic effects and develop robust models for individual-level risk stratification. Leveraging longitudinal multi-modal data from 13,085 UK Biobank participants, we integrated genomic, proteomic, and social connection profiles. We developed interpretable risk scores using a rigorous supervised machine learning framework encompassing diverse linear and ensemble classifiers. Permutation importance was employed to quantify feature contributions and derive transparent, weighted risk metrics across diverse classifiers. These scores were validated through association, interaction, and mediation analyses. Social connection-based risk scores significantly differentiated cases and controls across the two suicidal ideation phenotypes at 2017 and 2023 with cross-sectional analyses (AUCs: 0.70 - 0.73), outperforming proteomic-only models. Functional dimensions of social connection emerged as the most informative predictors. Longitudinal analyses revealed that social risk scores at baseline predicted suicidal ideation onset six years later, independent of demographic covariates. Interaction analyses demonstrated that polygenic risk for suicide attempt significantly interacted with both social and proteomic risk features in relation to depression. Structural equation models further confirmed that social disconnection acts as a key mediator linking genetic predisposition to MDD and SI. Social disconnection is a critical risk factor mediating the impact of genetic vulnerability on psychiatric outcomes. Integrating social, genetic, and molecular data supports a multilevel framework for risk stratification and highlights the potential of socially oriented interventions to mitigate biological risk.

Humans↗
PubMed2000

Phosphinic acid compounds in biochemistry, biology and medicine.

This review summarizes our knowledge of biochemical, biological and medical applications and properties of phosphinic acid compounds. Phosphinic acid compounds (phosphinates) are derivatives of phosphinic acid H2P(O)(OH). The major attention of this article is focused on applications of phosphinates of a pseudopeptide character, however interesting examples of phosphinates of a non-peptide nature are mentioned too. Phosphinic acid peptides (phosphinic pseudopeptides) are peptide isosteres where one peptide bond is substituted by the nonhydrolysable phosphinate moiety -P(O)(OH)-CH2- or -P(O)(OH)-. This substitution represents a very convenient mimic of a substrate in the transition state for at least two distinct classes of hydrolytic enzymes, Zn-metalloproteinases and aspartic acid proteinases. In this review we discuss about thirty different protein targets for which the phosphinates have found applications as modulators of their functions in vitro and/or in vivo. These proteins are mainly proteinases, however other types of proteins such as transferases, synthetases, ligases or even receptors are also discussed. Genome sequencing projects have been identifying protein sequences faster than it is possible to discover their functions. The development of combinatorial chemistry in the past few years has boosted up the interest in the use of chemistry to address biological problems. We believe that phosphinates, especially in conjunction with combinatorial chemistry approaches, can represent an extremely versatile tool in the search for proteome and its function.

Enzyme Inhibitors↗
PubMed2004

Alternative splicing of Bcl-2-related genes: functional consequences and potential therapeutic applications.

Apoptosis is a morphologically distinct form of cell death. It is executed and regulated by several groups of proteins. Bcl-2 family proteins are the main regulators of the apoptotic process acting either to inhibit or promote it. More than 20 members of the family have been identified so far and most have two or more isoforms. Alternative splicing is one of the major mechanisms providing proteomic complexity and functional diversification of the Bcl-2 family proteins. Pro- and anti-apoptotic Bcl-2 family members should function in harmony for the regulation of the apoptosis machinery, and their relative levels are critical for cell fate. Any mechanism breaking down this harmony by changing the relative levels of these antagonistic proteins could contribute to many diseases, including cancer and neurodegenerative disorders. Recent studies have shown that manipulation of the alternative splicing mechanisms could provide an opportunity to restore the proper balance of these regulator proteins. This review summarises current knowledge on the alternative splicing products of Bcl-2-related genes and modulation of splicing mechanisms as a potential therapeutic approach.

Alternative Splicing↗
PubMed2004

LIFEdb: a database for functional genomics experiments integrating information from external sources, and serving as a sample tracking system.

We have implemented LIFEdb (http://www.dkfz.de/LIFEdb) to link information regarding novel human full-length cDNAs generated and sequenced by the German cDNA Consortium with functional information on the encoded proteins produced in functional genomics and proteomics approaches. The database also serves as a sample-tracking system to manage the process from cDNA to experimental read-out and data interpretation. A web interface enables the scientific community to explore and visualize features of the annotated cDNAs and ORFs combined with experimental results, and thus helps to unravel new features of proteins with as yet unknown functions.

Automation↗
PubMed2001

Detection of physiologically active compounds using cell-based biosensors.

Cell-based biosensors are portable devices that contain living biological cells that monitor physiological changes induced by exposure to environmental perturbations such as toxicants, pathogens or other agents. Methods of detecting physiological changes include extracellular electrical recordings, optical measurements, and, in the future, functional genomics and proteomics. Several technical developments are occurring that will increase the feasibility of cell-based biosensors for field applications; these developments include stem cell and 3D culture technologies. Possible scenarios for the use of cell-based biosensors include broad-range detectors of unknown threat agents and functional assessment of identified agents.

Biosensing Techniques↗
PubMed2005

Functional genomics in antibacterial drug discovery.

Antibacterial drug discovery has experienced a paradigm shift from phenotypic screening for antibacterial activity to rational inhibition of preselected targets. Functional genomics techniques are implemented at various stages of the early drug discovery process and play a central role in target validation and mode of action determination. The spectrum of methods ranges from genetic manipulations (e.g. knockout studies, mutation analyses and the construction of conditional mutants) to transcriptome and proteome expression profiling. Functional genomics supports antibacterial drug discovery by improving knowledge on gene function, bacterial physiology and virulence and the effects of antibiotics on bacterial metabolism.

Animals↗
PubMed2002

Infectomics: genomics and proteomics of microbial infections.

The completion of genomic sequences is the greatest triumph of molecular reductionism since the discovery of the DNA double helix in 1953. However, the utility of reductionism is becoming limited and holistic approaches, including theories and techniques, are desperately needed in the postgenomic era. In the field of infectious diseases there is an urgent need for global approaches that can efficiently, precisely and integratively study structural and functional genomics and proteomics of microbial infections (infectomics). The combination of new (e.g. DNA and protein microarrays) and traditional approaches (e.g. cloning, PCR, gene knockout and knockin, and antisense) will help overcome the challenges we are facing today. We assume that the global phenotypic changes (infectomes) in microbes and their host during infections are encoded by the genomes of microbial pathogens and their hosts, expressed in certain environmental conditions devoted to specific microbe-host interactions. Global drug responses (pharmacomes) in microbes and their host can be detected by genomic and proteomic approaches. Genome-wide approaches to genotyping and phenotyping or expression profiling will eventually lead to global dissection of microbial pathogenesis, efficient and rapid diagnosis of infectious diseases, and the development of novel strategies to control infections. The key fundamental issue of infectious diseases is how to globally and integratively understand the interactions between microbial pathogens and their hosts by using infectomics. In this review, we focus on the events that are considered important in infectomics.

Animals↗
PubMed2006

Analysis of the ribosomal protein S19 interactome.

Ribosomal protein S19 (RPS19) is a 16-kDa protein found mainly as a component of the ribosomal 40 S subunit. Its mutations are responsible for Diamond Blackfan anemia, a congenital disease characterized by defective erythroid progenitor maturation. Dysregulation of RPS19 has therefore been implicated in this defective erythropoiesis, although the link between them is still unclear. Two not mutually exclusive hypotheses have been proposed: altered protein synthesis and loss of unknown functions not directly connected with the structural role of RPS19 in the ribosome. A role in rRNA processing has been surmised for the yeast ortholog, whereas the extracellular RPS19 dimer has a monocyte chemotactic activity. Three proteins are known to interact with RPS19: FGF2, complement component 5 receptor 1, and a nucleolar protein called RPS19-binding protein. We have used a yeast two-hybrid approach to identify a fourth protein: the serine-threonine kinase PIM1. The present study describes our use of proteomics strategies to look for proteins interacting with RPS19 to determine its functions. Proteins were isolated by affinity purification with a GST-RPS19 recombinant protein and identified using LCMS/MS analysis coupled to bioinformatics tools. We identified 159 proteins from the following Gene Ontology categories: NTPases (ATPases and GTPases; five proteins), hydrolases/helicases (19 proteins), isomerases (two proteins), kinases (three proteins), splicing factors (five proteins), structural constituents of ribosome (29 proteins), transcription factors (11 proteins), transferases (five proteins), transporters (nine proteins), DNA/RNA-binding protein species (53 proteins), other (one dehydrogenase protein, one ligase protein, one peptidase protein, one receptor protein, and one translation elongation factor), and 13 proteins of still unknown function. Proteomics results were validated by affinity purification and Western blotting. These interactions were further confirmed by co-immunoprecipitation using a monoclonal RPS19 antibody. Many interactors are nucleolar proteins and thus are expected to take part in the RPS19 interactome; however, some proteins suggest additional functional roles for RPS19.

Glutathione Transferase↗
PubMed2003

Strategies for structural proteomics of prokaryotes: Quantifying the advantages of studying orthologous proteins and of using both NMR and X-ray crystallography approaches.

Only about half of non-membrane-bound proteins encoded by either bacterial or archaeal genomes are soluble when expressed in Escherichia coli (Yee et al., Proc Natl Acad Sci USA 2002;99:1825-1830; Christendat et al., Prog Biophys Mol Biol 200;73:339-345). This property limits genome-scale functional and structural proteomics studies, which depend on having a recombinant, soluble version of each protein. An emerging strategy to increase the probability of deriving a soluble derivative of a protein is to study different sequence homologues of the same protein, including representatives from thermophilic organisms, based on the assumption that the stability of these proteins will facilitate structural analysis. To estimate the relative merits of this strategy, we compared the recombinant expression, solubility, and suitability for structural analysis by NMR and/or X-ray crystallography for 68 pairs of homologous proteins from E. coli and Thermotoga maritima. A sample suitable for structural studies was obtained for 62 of the 68 pairs of homologs under standardized growth and purification procedures. Fourteen (eight E. coli and six T. maritima proteins) samples generated NMR spectra of a quality suitable for structure determination and 30 (14 E. coli and 16 T. maritima proteins) samples formed crystals. Only three (one E. coli and two T. maritima proteins) samples both crystallized and had excellent NMR properties. The conclusions from this work are: (1) The inclusion of even a single ortholog of a target protein increases the number of samples for structural studies almost twofold; (2) there was no clear advantage to the use of thermophilic proteins to generate samples for structural studies; and (3) for the small proteins analyzed here, the use of both NMR and crystallography approaches almost doubled the number of samples for structural studies.

Archaeal Proteins↗
PubMed2000

Some new directions for research on the biology of aging.

A highly selective, eclectic, and personal view of new directions and new opportunities for research on the biology of aging is briefly outlined. Some concern is raised regarding the present emphasis on the use of centenarians for the definition of genetic loci responsible for unusually robust retention of structure and function. More progress is likely to be made were we to focus on the genetic basis for "elite" aging in middle-aged subjects examined for very specific phenotypes, as these are likely to be far less polygenic. Descriptive gerontology is entering a renaissance, given such new clinical tools as functional MRI and basic science tools such as functional genomics and proteomics. Advances in genomics should expedite answers to such questions as why some avian species have exceptionally long lifespans despite unusual loads of oxidative stress. One hopes to see renewed mechanistic studies, using such tools, at the systems levels. New methodologies are permitting the evaluation of stochastic alterations in gene structure and function in postreplicative cells. The exciting work on molecular misreading should prompt us to reexplore the Orgel hypothesis as it applies to such cell types. Epigenetic shifts in gene expression that occur in association with sexual maturation and the cessation of growth may have deleterious consequences late in the life course. It will therefore be important for gerontologists to investigate the molecular biology of pubescence. Finally, our community should investigate the impact of environmental "gerontogens," agents that accelerate specific processes of aging and specific senescent phenotypes.

Aging↗
PubMed2004

Recombinatorial cloning using heterologous lox sites.

Recombination systems based on lambda and Cre/loxP have been described to facilitate gene transfer from one vector to another in a high-throughput fashion, avoiding the bottlenecks associated with traditional cloning. However, no system described to date is suitable for the cloning of affinity reagents selected from display libraries, which requires that the recombination signals flanking the affinity reagent are translated with a minimum impact on functionality. As affinity reagents will be essential tools in the functional characterization of proteomes, and display technologies represent the most effective means to generate such affinity reagents on a genomic scale, we developed a Cre/loxP-based system, using mutually exclusive heterologous loxP sites placed 5' (Lox 2372) and 3' (Lox WT) of an affinity reagent (scFv). The translated lox sites have minimal impact on scFv expression or functionality, and, in association with a conditionally lethal gene (SacB) permit efficient, high-fidelity transfer to destination vectors. This approach will considerably facilitate the high-throughput downstream use of affinity reagents selected by display technologies, as well as being widely applicable to general recombinatorial cloning for genomic purposes.

Binding Sites↗
PubMed2005

Organellar proteomics: analysis of pancreatic zymogen granule membranes.

The zymogen granule (ZG) is the specialized organelle in pancreatic acinar cells for digestive enzyme storage and regulated secretion and has been a model for studying secretory granule functions. In an initial effort to comprehensively understand the functions of this organelle, we conducted a proteomic study to identify proteins from highly purified ZG membranes. By combining two-dimensional gel electrophoresis and two-dimensional LC with tandem mass spectrometry, 101 proteins were identified from purified ZG membranes including 28 known ZG proteins and 73 previously unknown proteins, including SNAP29, Rab27B, Rab11A, Rab6, Rap1, and myosin Vc. Moreover several hypothetical proteins were identified that represent potential novel proteins. The ZG localization of nine of these proteins was further confirmed by immunocytochemistry. To distinguish intrinsic membrane proteins from soluble and peripheral membrane proteins, a quantitative proteomic strategy was used to measure the enrichment of intrinsic membrane proteins through the purification process. The iTRAQ ratios correlated well with known or Transmembrane Hidden Markov Model-predicted soluble or membrane proteins. By combining subcellular fractionation with high resolution separation and comprehensive identification of proteins, we have begun to elucidate zymogen granule functions through proteomic and subsequent functional analysis of its membrane components.

Animals↗