Insulin-induced changes in metabolism-related proteins during maize germination

Insulin regulates a wide range of metabolic processes in mammals, such as homeostasis and the breakdown of glucose. Recently, the existence of an insulin-related growth factor in maize (ZmIGF) and a possible receptor for this growth factor has been reported. This peptide exerts effects on plant growth and promotes germination by activating the target of rapamycin (TOR) signaling pathways, which is similar to the insulin response in mammals. In this study, we analyzed the insulin response in maize embryos using a proteomic approach. Our results indicated that insulin modulates the expression of proteins involved in processes, such as storage protein degradation, protein processing, redox and desiccation stress, and glucose metabolism. The involvement of TOR signaling pathways was analyzed using the TOR inhibitor, rapamycin. The results showed that the modulation of these proteins by insulin is independent of the TOR pathway. These results indicated that insulin promotes changes in metabolism-related proteins to ensure successful germination in maize.     

From proteins to proteomics

During the second half of the 20th century, biochemistry and subsequently molecular biology blossomed into the core upon which all biological and biomedical sciences now depend. A major part of these closely related disciplines has been the study of the structure and function of proteins and the diverse biological functions that they perform. Early experimentation necessarily focused on individual entities, selected mainly for their activities, but as technology improved there developed a tendency to look at proteins as larger, interactive groups or clusters. Spurred by the recent exponential production of genomic sequence data for a rapidly increasing number of species, protein chemistry has now evolved into a new discipline, proteomics. In addition to embracing the methods and approaches that have served protein scientists well in the past, it includes, and is perhaps best defined by, high-throughput analyses based in large part on 2D gel electrophoresis, MALDI and ESI mass spectrometry and combinatorial arrays. Proteomic targets include the identification of all genome products and a mapping of their interactions and expression profiles. These hold great promise for the identification of disease markers and drug targets, but are not without their challenges and pitfalls.     

Structural proteomics of dengue virus

In this paper, we discuss recent advances in our knowledge of the dengue virus life cycle based on new structural data of the virus and its proteins. Specifically, we focus on the structure of the pre-membrane protein, prM and its role in virus assembly, the first full-length structure of a multi-domain dengue virus replication protein, NS3, and the recently solved structures of NS5 methyltransferase and polymerase domains. These structures provide a basis for describing function and predicting putative host interactions.     

Structural proteomics of an archaeon

A set of 424 nonmembrane proteins from Methanobacterium thermoautotrophicum were cloned, expressed and purified for structural studies. Of these, approximately 20% were found to be suitable candidates for X-ray crystallographic or NMR spectroscopic analysis without further optimization of conditions, providing an estimate of the number of the most accessible structural targets in the proteome. A retrospective analysis of the experimental behavior of these proteins suggested some simple relations between sequence and solubility, implying that data bases of protein properties will be useful in optimizing high throughput strategies. Of the first 10 structures determined, several provided clues to biochemical functions that were not detectable from sequence analysis, and in many cases these putative functions could be readily confirmed by biochemical methods. This demonstrates that structural proteomics is feasible and can play a central role in functional genomics.     

The proteomics of keratin proteins

Keratin proteins are widespread in nature, being found in the nuclei and cytoplasm of almost all differentiated eukaryote cells. However, they are best known as the principal structural proteins in hair, wool and skin. Because of difficulties associated with their extraction from biological samples, high sequence homology and the presence of numerous post-translational modifications, they have been less well studied than other protein families. Thanks to the advent of modern proteomic techniques we now have available a good suite of tools to study this neglected family of proteins.     

Structural proteomics in drug discovery

High-throughput, automated or semiautomated methodologies implemented by companies and structural genomics initiatives have accelerated the process of acquiring structural information for proteins via x-ray crystallography. This has enabled the application of structure-based drug design technologies to a variety of new structures that have potential pharmacologic relevance. Although there remain major challenges to applying these approaches more broadly to all classes of drug discovery targets, clearly the continued development and implementation of these structure-based drug design methodologies by the scientific community at large will help to address and provide solutions to these hurdles. The result will be a growing number of protein structures of important pharmacologic targets that will help to streamline the process of identification and optimization of lead compounds for drug development. These lead agonist and antagonist pharmacophores should, in turn, help to alleviate one of the current critical bottlenecks in the drug discovery process; that is, defining the functional relevance of potential novel targets to disease modification. The prospect of generating an increasing number of potential drug candidates will serve to highlight perhaps the most significant future bottleneck for drug development, the cost and complexity of the drug approval process.     

Structural proteomics in drug discovery

High-throughput, automated or semiautomated methodologies implemented by companies and structural genomics initiatives have accelerated the process of acquiring structural information for proteins via x-ray crystallography. This has enabled the application of structure-based drug design technologies to a variety of new structures that have potential pharmacologic relevance. Although there remain major challenges to applying these approaches more broadly to all classes of drug discovery targets, clearly the continued development and implementation of these structure-based drug design methodologies by the scientific community at large will help to address and provide solutions to these hurdles. The result will be a growing number of protein structures of important pharmacologic targets that will help to streamline the process of identification and optimization of lead compounds for drug development. These lead agonist and antagonist pharmacophores should, in turn, help to alleviate one of the current critical bottlenecks in the drug discovery process; that is, defining the functional relevance of potential novel targets to disease modification. The prospect of generating an increasing number of potential drug candidates will serve to highlight perhaps the most significant future bottleneck for drug development, the cost and complexity of the drug approval process.     

Structural proteomics by NMR spectroscopy

Structural proteomics is one of the powerful research areas in the postgenomic era, elucidating structure-function relationships of uncharacterized gene products based on the 3D protein structure. It proposes biochemical and cellular functions of unannotated proteins and thereby identifies potential drug design and protein engineering targets. Recently, a number of pioneering groups in structural proteomics research have achieved proof of structural proteomic theory by predicting the 3D structures of hypothetical proteins that successfully identified the biological functions of those proteins. The pioneering groups made use of a number of techniques, including NMR spectroscopy, which has been applied successfully to structural proteomics studies over the past 10 years. In addition, advances in hardware design, data acquisition methods, sample preparation and automation of data analysis have been developed and successfully applied to high-throughput structure determination techniques. These efforts ensure that NMR spectroscopy will become an important methodology for performing structural proteomics research on a genomic scale. NMR-based structural proteomics together with x-ray crystallography will provide a comprehensive structural database to predict the basic biological functions of hypothetical proteins identified by the genome projects.     

Membrane proteins and membrane proteomics

Biological membranes form an essential barrier between living cells and their external environments, as well as serve to compartmentalize intracellular organelles within eukaryotes. The latter includes membranes that envelope the nucleus, the outer and inner membranes of the mitochondria, membrane cisternae complex of the ER, Golgi apparatus, as well as lysosomes and secretory vesicles. Depending on their localizations in the whole organism and also within the cell, these membranes have different, highly specialized functions. Although 30% of naturally occurring proteins are predicted to be embedded in biological membranes, membrane proteomics is traditionally understudied due to difficulties in solubilizing, separating, and identifying membrane proteins. Given the importance of membrane proteins in the various cellular processes listed in this review, as well as the roles they play in diseases and their potential as drug targets, it is imperative that this class of proteins be better studied. With the recent advancement in technology, it is expected that some of the difficulties in membrane proteomics will be overcome, yielding new data on membrane proteins.     

Metabolic labeling of proteins for proteomics

Realization of the advantages of stable isotope labeling for proteomics has emerged gradually. However, many stable isotope label approaches rely on labeling in vitro using complex and sometimes expensive reagents. This review discusses strategies for labeling protein in vivo through metabolic incorporation of label into protein. This approach has many advantages, is particularly suited to single cells grown in culture (prokaryotic or eukaryotic), but is nonetheless subject to a number of complicating factors that must be controlled so that meaningful experiments can be conducted. Confounding issues include the metabolic lability of the amino acid precursor, incomplete labeling, and the role of protein turnover in labeling kinetics. All of these are controllable, provided that appropriate precautions are adopted.     

Analysis of alpha-synuclein-associated proteins by quantitative proteomics

To identify the proteins associated with soluble alpha-synuclein (AS) that might promote AS aggregation, a key event leading to neurodegeneration, we quantitatively compared protein profiles of AS-associated protein complexes in MES cells exposed to rotenone, a pesticide that produces parkinsonism in animals and induces Lewy body (LB)-like inclusions in the remaining dopaminergic neurons, and to vehicle. We identified more than 250 proteins associated with Nonidet P-40 soluble AS, and demonstrated that at least 51 of these proteins displayed significant differences in their relative abundance in AS complexes under conditions where rotenone was cytotoxic and induced formation of cytoplasmic inclusions immunoreactive to anti-AS. Overexpressing one of these proteins, heat shock protein (hsp) 70, not only protected cells from rotenone-mediated cytotoxicity but also decreased soluble AS aggregation. Furthermore, the protection afforded by hsp70 transfection appeared to be related to suppression of rotenone-induced oxidative stress as well as mitochondrial and proteasomal dysfunction.     

Structural proteomics: developments in structure-to-function predictions

The major challenge for post-genomic research is to functionally assign and validate a large number of novel target genes and their corresponding proteins. Functional genomics approaches have, therefore, gained considerable attention in the quest to convert this massive data set into useful information. One of the crucial components for the functional understanding of unassigned proteins is the analysis of their experimental or modeled 3D structures. Structural proteomics initiatives are generating protein structures at an unprecedented rate but our current knowledge of 3D-structural space is still limited. Estimates on the completeness of the 3D-structural coverage of proteins vary but it is generally accepted that only a minority of the structural proteome has a template structure from which reliable conclusions can be drawn. Thus, structural proteomics has set out to build a map of protein structures that will represent all protein folds included in the 'global proteome'.     

Targeting proteomics to investigate metastasis-associated mitochondrial proteins

Mitochondria are essential organelles in eukaryotic cells and are responsible for regulating energy metabolism, ROS production, and cell survival. Recently, various cellular pathogeneses, including tumorigenesis and metastasis, have been reported to be associated with mitochondrial homeostasis. Consequently, exploiting the correlation between dysfunctional mitochondria and tumor progression has been implicated in the understanding of tumorigenesis, tumor metastasis, and chemoresistance, along with novel strategies to develop cancer therapeutics. To comprehensively understand the role of the mitochondria in cancer metastasis, it is necessary to resolve thousands of mitochondrial proteins and their post-translational modifications with high-throughput global assessments. We introduce mitochondrial proteomic strategies in this review and a discussion on their recent findings related to cancer metastasis. Additionally, the mitochondrial respiratory chain is believed to be a major site for ROS production, and elevated ROS is likely a key source to trigger dysfunctional mitochondria and impaired mitochondrial metabolism that subsequently contribute to the development of cancer progression. Equipment-based metabolomic analysis now allows the monitoring of disease progression and diagnosis. These newly emerging techniques, including proteomics, redox-proteomics, and metabolomics, are described in this review.     

Redox proteomics: identification of oxidatively modified proteins

Reactive oxygen and nitrogen species may cause various types of chemical modifications on specific proteins, Such modifications if irreversible are often associated with permanent loss of function and may lead to the elimination or to the accumulation of the damaged proteins. Reversible modifications, particularly at the cysteine residues, may have a dual role of protection from cysteine irreversible oxidation and modulation of protein function (redox regulation). Here we will review the techniques available for identifying proteins based on their redox state. In particular, we will focus on protein carbonylation, tyrosine nitration and thiol-disulfide chemistry of cysteines, with special emphasis on glutathionylation, because these are the fields where the tools of proteome analysis have been applied.     

Identification of human nasal mucous proteins using proteomics

The determination of possible biomarkers in nasal secretion of healthy subjects can have a role in early diagnosis of diseases such as rhinosinusitis. For this purpose, nasal lavage fluids (NLFs) from ten volunteers, collected before and after they had been submitted to nasal provocations, were investigated. Separation and analysis of proteins present in this complex matrix was performed using a capillary liquid chromatography-electrospray-quadrupole-time of flight mass spectrometry equipment. From among a total of 111 proteins found (89 known and two unknown proteins), 42 of which had never been previously described in this fluid, such as Deleted in Malignant Brain Tumors 1 isoform a precursors, and cytoskeletal proteins were identified with high statistical score. Three proteins of palate lung nasal epithelial clone (PLUNC) family: SPLUNC1, LPLUNC1, and LPLUNC2 were identified. Proteins involved in innate (27%) and acquired immunity (21%) systems were major components of NLF. Cellular (52% of all proteins identified) such as cytoskeletal (33%), functional (15%), and regulatory (4%) proteins, normally present in the nasal cavity, have also been identified. The proteomic approach presented here allowed us to identify the proteins involved in acquired and innate immune response in the nose against microbial infections and unclean inhaled air.     

Cancer cachexia modifies the zonal distribution of lipid metabolism-related proteins in rat liver

Cancer cachexia is a syndrome that causes profound metabolic disruption. Lipid metabolism in the liver is markedly affected. We investigated the effect of cachexia upon liver-acinus lipid-metabolism zonation in Walker 245 carcinosarcoma-bearing rats (TB). The expression of protein (by Western blotting) and mRNA (by semi-quantitative polymerase chain reaction) of the enzymes of the carnitine palmitoyltransferase system (CPT I and CPT II) and of liver fatty-acid-binding protein (L-FABP) was studied. Although no changes were found for these parameters, the maximal activities (by radioassay) of CPT I and II were reduced (P<0.05) in TB compared with controls. CPT II activity in the perivenous (PV) region was higher in TB compared with controls. The distribution of CPT II and L-FABP (by immunohistochemistry) within the acinus was modified by cachexia: whereas CPT II positivity was restricted to the PV zone, L-FABP labelling shifted from periportal (control) to perivenous (TB) zone. These changes in metabolic zonation, together with decreased CPT II activity, may contribute to the aggravation of cachexia. The authors thank FAPESP for financial support (00/03761-2) and for the scholarship awarded to M. Kazantzis.     

Structure-based functional discovery of proteins: structural proteomics

The discovery of biochemical and cellular functions of unannotated gene products begins with a database search of proteins with structure/sequence homologues based on known genes. Very recently, a number of frontier groups in structural biology proposed a new paradigm to predict biological functions of an unknown protein on the basis of its three-dimensional structure on a genomic scale. Structural proteomics (genomics), a research area for structure-based functional discovery, aims to complete the protein-folding universe of all gene products in a cell. It would lead us to a complete understanding of a living organism from protein structure. Two major complementary experimental techniques, X-ray crystallography and NMR spectroscopy, combined with recently developed high throughput methods have played a central role in structural proteomics research; however, an integration of these methodologies together with comparative modeling and electron microscopy would speed up the goal for completing a full dictionary of protein folding space in the near future.