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Results for “Functional proteome”

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PubMed2004

Seeing better through a MIST: evaluation of monoclonal recombinant antibody fragments on microarrays.

Automation is the key approach for genomewide and proteomewide screening of function and interaction. Especially for proteomics, antibody microarrays are a useful tool for massive parallel profiling of complex samples. To meet the requirements of antibody microarrays and to obtain a great variety of antibodies, new technologies such as phage display have partly replaced the classical hybridoma method. While the selection process for phage-displayed antibody fragments itself has been automated, the bottleneck was shifted further downstream to the identification of monoclonal binders obtained from the selections. Here, we present a new approach to reduce time, material, and waste to extend automation beyond the selection process by application of conventional microarray machinery. We were able to express recombinant antibody fragments in a single inoculation and expression step and subjected them without purification directly to an automated high-throughput screening procedure based on the multiple spotting technique (MIST). While obtaining comparable sensitivities to enzyme-linked immunosorbent assays, we minimized manual interaction steps and streamlined the technique to be accessible within the automated selection procedure.

Antibodies, Monoclonal↗
PubMed2006

High-resolution magic angle spinning 1H NMR spectroscopy and reverse transcription-PCR analysis of apoptosis in a rat glioma.

The functional genomic approaches of transcriptomics, proteomics and metabolomics aim to measure the mRNA, protein or metabolite complement of a cell, tissue or organism. In this study we have investigated the compatibility of transcriptional analysis, using Reverse Transcription (RT)-PCR, and metabolite analysis, by high-resolution magic angle spinning (HRMAS) 1H NMR spectroscopy, in BT4C rat glioma following the induction of programmed cell death. The metabolite and transcriptional changes that accompanied apoptosis were examined at 0, 4 and 8 days of ganciclovir/thymidine kinase gene therapy. Despite the high spinning speeds employed during HRMAS 1H NMR spectroscopy of one-half of the tumor samples, RT-PCR analysis of the pro-apoptotic transcripts Bcl-2, BAK-1, caspase-9 and FAS was possible, producing similar results to those detected in the unspun half of the tumors. Furthermore, the expression of FAS was inversely correlated with some of the key metabolic changes across the time period examined including the increases CH=CH and CH=CHCH2 lipid resonances which accompany apoptosis. This study demonstrates how combined transcriptomic and metabolomic studies of tumors can be used to understand the molecular events that accompany well documented metabolic perturbations during cell death processes.

Animals↗
PubMed2006

Altered levels of acute phase proteins in the plasma of patients with schizophrenia.

Schizophrenia is a relatively common psychiatric syndrome that affects virtually all brain functions. We investigated the plasma proteome of 22 schizophrenia male patients and 20 healthy male controls using two-dimensional gel electrophoresis and mass spectrometry. In total, we have identified 66 protein spots in human plasma and found that seven of them showed altered changes in schizophrenia patients, as compared to healthy controls, which mainly were acute phase proteins (APPs). Among these APPs, haptoglobin alpha2 chain (p < 0.001), haptoglobin beta chain (p < 0.001), alpha1-antitrypsin (p = 0.001), and complement factor B precursor (p = 0.022) showed overexpression in schizophrenia patients, whereas apolipoprotein A-I (p = 0.034) and transthyretin (p = 0.035) were found to be significantly decreased in patients. In addition, the expression of apolipoprotein A-IV (p = 0.018) was significantly up-regulated in schizophrenia patients, as compared to controls. We also found these APP genes, which were differentially expressed in this study, overlap in the schizophrenia susceptibility loci. Our findings further support the hypothesis that the inflammatory response system is linked to the pathophysiology of schizophrenia.

Acute-Phase Proteins↗
PubMed2005

Unsupervised pattern recognition: an introduction to the whys and wherefores of clustering microarray data.

Clustering has become an integral part of microarray data analysis and interpretation. The algorithmic basis of clustering -- the application of unsupervised machine-learning techniques to identify the patterns inherent in a data set -- is well established. This review discusses the biological motivations for and applications of these techniques to integrating gene expression data with other biological information, such as functional annotation, promoter data and proteomic data.

Algorithms↗
PubMed2002

Analysis of mRNA expression and protein abundance data: an approach for the comparison of the enrichment of features in the cellular population of proteins and transcripts.

MOTIVATION: Protein abundance is related to mRNA expression through many different cellular processes. Up to now, there have been conflicting results on how correlated the levels of these two quantities are. Given that expression and abundance data are significantly more complex and noisy than the underlying genomic sequence information, it is reasonable to simplify and average them in terms of broad proteomic categories and features (e.g. functions or secondary structures), for understanding their relationship. Furthermore, it will be essential to integrate, within a common framework, the results of many varied experiments by different investigators. This will allow one to survey the characteristics of highly expressed genes and proteins. RESULTS: To this end, we outline a formalism for merging and scaling many different gene expression and protein abundance data sets into a comprehensive reference set, and we develop an approach for analyzing this in terms of broad categories, such as composition, function, structure and localization. As the various experiments are not always done using the same set of genes, sampling bias becomes a central issue, and our formalism is designed to explicitly show this and correct for it. We apply our formalism to the currently available gene expression and protein abundance data for yeast. Overall, we found substantial agreement between gene expression and protein abundance, in terms of the enrichment of structural and functional categories. This agreement, which was considerably greater than the simple correlation between these quantities for individual genes, reflects the way broad categories collect many individual measurements into simple, robust averages. In particular, we found that in comparison to the population of genes in the yeast genome, the cellular populations of transcripts and proteins (weighted by their respective abundances, the transcriptome and what we dub the translatome) were both enriched in: (i) the small amino acids Val, Gly, and Ala; (ii) low molecular weight proteins; (iii) helices and sheets relative to coils; (iv) cytoplasmic proteins relative to nuclear ones; and (v) proteins involved in 'protein synthesis,' 'cell structure,' and 'energy production.' SUPPLEMENTARY INFORMATION: http://genecensus.org/expression/translatome

Algorithms↗
PubMed2004

POLYVIEW: a flexible visualization tool for structural and functional annotations of proteins.

UNLABELLED: The POLYVIEW visualization server can be used to generate protein sequence annotations, including secondary structures, relative solvent accessibilities, functional motifs and polymorphic sites. Two-dimensional graphical representations in a customizable format may be generated for both known protein structures and predictions obtained using protein structure prediction servers. POLYVIEW may be used for automated generation of pictures with structural and functional annotations for publications and proteomic on-line resources. AVAILABILITY: http://polyview.cchmc.org.

Algorithms↗
PubMed2002

Anything but a biopsy: noninvasive monitoring for cardiac allograft rejection.

Endomyocardial biopsy has stood the test of time as a surveillance technique; however, the expense, resources required, invasive nature, and low but definite risks have motivated investigators to pursue less invasive techniques. The search for noninvasive surveillance techniques for cardiac rejection have centered on measurements of cardiac function, intragraft electrical events, peripheral proteomic markers of graft micronecrosis, immune activation, and nonimmune accompaniments of rejection. Although several investigations allude to a reasonable negative predictive value of such monitoring, the specificity of these techniques remains poor. Until well-constructed studies not only define the predictive values of noninvasive techniques but also appropriately evaluate the clinical safety of any such approach, invasive endomyocardial biopsy will remain the gold standard.

Biopsy↗
PubMed2006

Diagnostic applications of microarrays.

Microarrays were designed to monitor the expression of many genes in parallel, providing substantially more information than Northern blots or reverse transcription polymerase chain reaction analysing one or few genes at a time. The large sequencing projects provided the content for detailed expression studies under a variety of stimuli and conditions. The human genome project identified around 30 000 human genes. Estimated number of protein products is, however, 10-30 times higher, mainly due to the alternative splicing and post-translational modifications. The identification of gene functions requires both genomic and proteomic approaches, including protein microarrays, and numerous current microarray projects focus on deciphering gene expression patterns under a variety of conditions. Establishing the key genes and gene products for particular conditions opens the way for diagnostic applications using multiparameter, high-throughput assays. This format can also accommodate existing blood screening assays, potentially providing a single testing platform. This review considers the progress in diagnostic microarrays in a wider context of in vitro diagnostics field.

Diagnostic Techniques and Procedures↗
PubMed2006

Whole genome analysis of the marine Bacteroidetes'Gramella forsetii' reveals adaptations to degradation of polymeric organic matter.

Members of the Bacteroidetes, formerly known as the Cytophaga-Flavobacteria-Bacteroides (CFB) phylum, are among the major taxa of marine heterotrophic bacterioplankton frequently found on macroscopic organic matter particles (marine snow). In addition, they have been shown to also represent a significant part of free-living microbial assemblages in nutrient-rich microenvironments. Their abundance and distribution pattern in combination with enzymatic activity studies has led to the notion that organisms of this group are specialists for degradation of high molecular weight compounds in both the dissolved and particulate fraction of the marine organic matter pool, implying a major role of Bacteroidetes in the marine carbon cycle. Despite their ecological importance, comprehensive molecular data on organisms of this group have been scarce so far. Here we report on the first whole genome analysis of a marine Bacteroidetes representative, 'Gramella forsetii' KT0803. Functional analysis of the predicted proteome disclosed several traits which in joint consideration suggest a clear adaptation of this marine Bacteroidetes representative to the degradation of high molecular weight organic matter, such as a substantial suite of genes encoding hydrolytic enzymes, a predicted preference for polymeric carbon sources and a distinct capability for surface adhesion.

Adaptation, Physiological↗
PubMed2006

The GYF domain.

GYF domains are small, versatile adaptor domains that recognize proline-rich sequences (PRS). They are present in most eukaryotic species sequenced so far, but in contrast to other PRS-recognition domains (PRD), GYF domains have not experienced the same amplification in metazoa during evolution. Mutational and structural analysis has shown the conserved signature W-X-Y-X(6-11)-GPF-X(4)-M-X(2)-W-X(3)-GYF to be the site of interaction with proline-rich peptides. In contrast, composition and length of the C-terminal half of GYF domains are not conserved. Similar to other PRD, GYF domains bind to many different PRS that converge on a minimal consensus sequence. All GYF domains analyzed so far selected for the core motif PPG, whereas amino-acid preferences adjacent to this motif vary. As a result of this analysis, two subfamilies have been identified: CD2BP2-type and SMY2-type GYF domains. The latter subfamily comprises most GYF domains and is characterized by a shorter beta(1)-beta(2) loop and an aspartate instead of the tryptophan found at position 8 in CD2BP2-type GYF domains. Recent analysis of binding specificities for GYF domains allowed identification of novel interaction partners. Thereby proteomics has contributed to a functional understanding of GYF domain-containing proteins and sets the stage for a more systematic investigation of their functions in vivo.

Amino Acid Motifs↗
PubMed2003

Empirical analysis of transcriptional activity in the Arabidopsis genome.

Functional analysis of a genome requires accurate gene structure information and a complete gene inventory. A dual experimental strategy was used to verify and correct the initial genome sequence annotation of the reference plant Arabidopsis. Sequencing full-length cDNAs and hybridizations using RNA populations from various tissues to a set of high-density oligonucleotide arrays spanning the entire genome allowed the accurate annotation of thousands of gene structures. We identified 5817 novel transcription units, including a substantial amount of antisense gene transcription, and 40 genes within the genetically defined centromeres. This approach resulted in completion of approximately 30% of the Arabidopsis ORFeome as a resource for global functional experimentation of the plant proteome.

Arabidopsis↗
PubMed2000

Elevated levels of synthesis of over 20 proteins results after mutation of the Rhizobium leguminosarum exopolysaccharide synthesis gene pssA.

The protein expression profiles of Rhizobium leguminosarum strains in response to specific genetic perturbations in exopolysaccharide (EPS) biosynthesis genes were examined using two-dimensional gel electrophoresis. Lesions in either pssA, pssD, or pssE of R. leguminosarum bv. viciae VF39 or in pssA of R. leguminosarum bv. trifolii ANU794 not only abolished the capacity of these strains to synthesize EPS but also had a pleiotropic effect on protein synthesis levels. A minimum of 22 protein differences were observed for the two pssA mutant strains. The differences identified in the pssD and pssE mutants of strain VF39 were a distinct subset of the same protein synthesis changes that occurred in the pssA mutant. The pssD and pssE mutant strains shared identical alterations in the proteins synthesized, suggesting that they share a common function in the biosynthesis of EPS. In contrast, a pssC mutant that produces 38% of the EPS level of the parental strain showed no differences in its protein synthesis patterns, suggesting that the absence of EPS itself was contributing to the changes in protein synthesis and that there may be a complex interconnection of the EPS biosynthetic pathway with other metabolic pathways. Genetic complementation of pssA can restore wild-type protein synthesis levels, indicating that many of the observed differences in protein synthesis are also a specific response to a dysfunctional PssA. The relevance of these proteins, which are grouped as members of the pssA mutant stimulon, remains unclear, as the majority lacked a homologue in the current sequence databases and therefore possibly represent a novel functional network(s). These findings have illustrated the potential of proteomics to reveal unexpected higher-order processes of protein function and regulation that arise from mutation. In addition, it is evident that enzymatic pathways and regulatory networks are more interconnected and more sensitive to structural changes in the cell than is often appreciated. In these cases, linking the observed phenotype directly to the mutated gene can be misleading, as the phenotype could be attributable to downstream effects of the mutation.

Amino Acid Sequence↗
PubMed2005

Proteomic characterization of Yersinia pestis virulence.

The Yersinia pestis proteome was studied as a function of temperature and calcium by two-dimensional differential gel electrophoresis. Over 4,100 individual protein spots were detected, of which hundreds were differentially expressed. A total of 43 differentially expressed protein spots, representing 24 unique proteins, were identified by mass spectrometry. Differences in expression were observed for several virulence-associated factors, including catalase-peroxidase (KatY), murine toxin (Ymt), plasminogen activator (Pla), and F1 capsule antigen (Caf1), as well as several putative virulence factors and membrane-bound and metabolic proteins. Differentially expressed proteins not previously reported to contribute to virulence are candidates for more detailed mechanistic studies, representing potential new virulence determinants.

Bacterial Proteins↗
PubMed2000

Current awareness.

In order to keep subscribers up-to-date with the latest developments in their field, this current awareness service is provided by John Wiley & Sons and contains newly-published material on comparative and functional genomics. Each bibliography is divided into 16 sections. 1 Reviews & symposia; 2 General; 3 Large-scale sequencing and mapping; 4 Genome evolution; 5 Comparative genomics; 6 Gene families and regulons; 7 Pharmacogenomics; 8 Large-scale mutagenesis programmes; 9 Functional complementation; 10 Transcriptomics; 11 Proteomics; 12 Protein structural genomics; 13 Metabolomics; 14 Genomic approaches to development; 15 Technological advances; 16 Bioinformatics. Within each section, articles are listed in alphabetical order with respect to author. If, in the preceding period, no publications are located relevant to any one of these headings, that section will be omitted

Animals↗
PubMed2005

Comparative analysis of gender-associated complete mitochondrial genomes in marine mussels (Mytilus spp.).

Marine mussels of the genus Mytilus have an unusual mode of mitochondrial DNA (mtDNA) transmission termed doubly uniparental inheritance (DUI). Female mussels are homoplasmic for the F mitotype, which is inherited maternally, while males are usually heteroplasmic, carrying a mixture of the maternal F mitotype and the paternally inherited M genome. Two classes of M genomes have been observed: "standard" M genomes and "recently masculinized" M genomes. The latter are more similar to F genomes at the sequence level but are transmitted paternally like standard M genomes. In this study we report the complete sequences of two standard male M. edulis and one recently masculinized male M. trossulus mitochondrial genome. A comparative analysis, including the previously sequenced M. edulis F and M. galloprovincialis F and M mtDNAs, reveals that these genomes are identical in gene order, but highly divergent in nucleotide and amino acid sequence. The large amount (>20%) of nucleotide substitutions that fall in coding regions implies that there are several amino acid replacements between the F and M genomes, which likely have an impact on the structural and functional properties of the mitochondrial proteome. Correlation of the divergence rate of different protein-coding genes indicates that mtDNA-encoded proteins of the M genome are still under selective constraints, although less highly than genes of the F genome. The mosaic F/M control region of the masculinized F genome provides evidence for lineage-specific sequences that may be responsible for the different mode of transmission genetics. This analysis shows the value of comparative genomics to better understand the mechanisms of maintenance and segregation of mtDNA sequence variants in mytilid mussels.

Animals↗
PubMed2001

The role of genomics in antibacterial target discovery.

Complete DNA sequence information has now been obtained for several prokaryotic genomes, defining the entire genetic complement of these organisms. The collection of genomic data has provided new insights into the molecular architecture of bacterial cells, revealing the basic genetic and metabolic structures that support viability of the organisms. Genomic information has also revealed new avenues for inhibition of bacterial growth and viability, expanding the number of possible drug targets for antibiotic discovery. This review examines how genomic sciences and experimental tools are applied to antibacterial target discovery, the necessary first step in the development of new antibiotic classes. Significant advances have been realized in the development of functional genomic, comparative genomic, and proteomic methods for the analysis of completed genomes. The combination of these methods can be used to systematically parse the genome and identify targets worthy of inhibitor screens. Two basic categories of targets emerge from this exercise, comprising in vitro essential targets required for bacterial viability on synthetic media and in vivo essential targets required to establish and maintain infection within a host organism. Current use of genomic information is focused primarily on a definition of all in vitro essential targets that satisfy criteria of selectivity, spectrum, and novelty. As the genomes of additional bacterial pathogens are solved, it will be possible to select in vivo essential targets common to groups of select pathogens (e.g., bacterial agents of community acquired pneumonia) or even pathogen-specific targets. Consideration of host-pathogen interactions, defined at the level of gene expression for each organism, might provide novel therapeutic options in the future.

Animals↗
PubMed2005

Photoaffinity labeling technique for studying DNA replication and DNA repair.

The photoaffinity labeling technique is based on UV-light induced crosslinking of proteins to photoreactive DNA. Photoreactive groups can be introduced at different points of DNA (base or phosphate) either at the ends or in inner positions of the DNA chain by combination of enzymatic and chemical synthesis. Varying the structure of photoreactive DNA one can design the intermediates of different stages of DNA replication or DNA repair and apply them to identify the proteins crosslinked to specific positions of the DNA chain in single- or double-stranded DNA, partial DNA duplexes, gapped or nicked duplexes or DNA carrying flap structures. A wide range of base-substituted dNTP analogs containing photoreactive groups of different photoreactivity and spacers of various lengths has been synthesized and characterized. Photoreactive dNTP analogs have been shown to be effective substrates of viral, bacterial and eukaryotic DNA polymerases. The efficiencies of crosslinking of DNA bearing various photoreactive dNMP to protein and DNA targets were estimated. New approaches for enzymatic introduction of photoreactive groups onto the 5'-end of oligonucleotides and into the inner positions of DNA chain have been elaborated. Photoreactive DNAs have been successfully used to study enzymes and protein factors of DNA replication and repair in reconstituted systems and cellular/nuclear extracts. Photoaffinity labeling technique was shown to be a prominent tool of proteomics to elucidate structural and functional aspects of protein-DNA interactions. It can be also applied for identification of proteins including unknown ones, which interact with specific DNA intermediates in cellular/nuclear extracts.

Cross-Linking Reagents↗
PubMed2001

Peptide display in functional genomics.

The completion of the human genome project has opened novel scientific avenues in functional genomics, structural genomics and proteomics. These areas have a common goal: the identification of all the proteins acting and cross-talking in a single cell at a defined moment of its lifecycle. The expansion of these areas in bioscience has been facilitated by the rapid development of high throughput screening (HTS) methods which has, in turn, attracted the business community to make investments in this novel business segment of biotechnology. By using these HTS methods, the hope is that novel targets will be validated much more rapidly speeding up the development of novel drugs. Numerous techniques and tools have emerged over the past decade for the identification of small target-specific molecular ligands that exploit a common feature: the exploration of molecular diversity using combinatorial methods. While chemists developed new methods for rapidly and efficiently synthesising and screening large collections of small molecules, biologists used recombinant DNA techniques for selecting displayed repertoires. To this end, the discovery of new low molecular weight peptides is becoming increasingly important, not only as molecular tools for the understanding of protein-protein interactions but also for the generation of lead compounds.

Cloning, Molecular↗