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At least 973 records · Page 54Linked to original sources
PubMed2006

Genetic approaches to the improvement of fertility traits in the pig.

One of the major determinants for litter size in pigs is prenatal mortality. It occurs most frequently during the first few weeks of gestation and can be attributed to abnormalities in developmental processes during embryogenesis including trophoblastic elongation and blastocyst implantation. Improvement of litter size has been attempted by means of phenotypic selection. However, another promising approach in pursuit of this aim has been the use of genotypic information. Reproductive traits in general are well-suited for application of marker-assisted selection (MAS). The possibility of exerting selection criteria at the molecular level shortens the generation interval as the selection decision can take place early in the life of an animal. Moreover, in consideration of the sex-limited nature of reproductive traits, genotypic information allows for selection in the gender in which the trait cannot be directly observed. Accordingly, there has been considerable interest in mapping and identifying genes involved in the regulation of reproductive traits and in elucidating their expression patterns. This review offers a comprehensive, if not exhaustive, account of the efforts being made and the approaches currently used in this field. One approach has been to choose candidate genes a priori because of the physiological importance of the proteins they encode and their role in the reproduction of other mammals. The usefulness of candidate genes is then examined by association studies between genetic polymorphisms identified in the respective candidate genes and the phenotypic reproductive traits. The other approach discussed uses pre-existing or designed families for linkage analyses in order to map the location of quantitative trait loci (QTL) for the reproductive trait of interest. The results reported were not consistent among different studies but the QTL regions detected may be useful for identification of positional candidate genes in further molecular genetic studies. However, a better understanding of porcine reproduction requires that these functional genomic approaches are merged and integrated with detailed analyses of the proteome to establish linkages between predisposition and physiology.

Animals↗
PubMed2006

Dynamic profiling of the post-translational modifications and interaction partners of epidermal growth factor receptor signaling after stimulation by epidermal growth factor using Extended Range Proteomic Analysis (ERPA).

In a recent report, we introduced Extended Range Proteomic Analysis (ERPA), an intermediate approach between top-down and bottom-up proteomics, for the comprehensive characterization at the trace level (fmol level) of large and complex proteins. In this study, we extended ERPA to determine quantitatively the temporal changes that occur in the tyrosine kinase receptor, epidermal growth factor receptor (EGFR), upon stimulation. Specifically A 431 cells were stimulated with epidermal growth factor after which EGFR was immunoprecipitated at stimulation times of 0, 0.5, 2, and 10 min as well as 4 h. High sequence coverage was obtained (96%), and methods were developed for label-free quantitation of phosphorylation and glycosylation. A total of 13 phosphorylation sites were identified, and the estimated stoichiometry was determined over the stimulation time points, including Thr(P) and Ser(P) sites in addition to Tyr(P) sites. A total of 10 extracellular domain N-glycan sites were also identified, and major glycoforms at each site were quantitated. No change in the extent of glycosylation with stimulation was observed as expected. Finally potential binding partners to EGFR were identified based on changes in the amount of protein pulled down with EGFR as a function of time of stimulation. Many of the 19 proteins identified are known binding partners of EGFR. This work demonstrates that comprehensive characterization provides a powerful tool to aid in the study of important therapeutic targets. The detailed molecular information will prove useful in future studies in tissue.

Amino Acid Sequence↗
PubMed2000

A thousand points of light: the application of fluorescence detection technologies to two-dimensional gel electrophoresis and proteomics.

As proteomics evolves into a high-throughput technology for the study of global protein regulation, new demands are continually being placed upon protein visualization and quantitation methods. Chief among these are increased detection sensitivity, broad linear dynamic range and compatibility with modern methods of microchemical analyses. The limitations of conventional protein staining techniques are increasingly being encountered as high sensitivity electrophoresis methods are interfaced with automated gel stainers, image analysis workstations, robotic spot excision instruments, protein digestion work stations, and mass spectrometers. Three approaches to fluorescence detection of proteins in two-dimensional (2-D) gels are currently practiced: covalent derivatization of proteins with fluorophores, intercalation of fluorophores into the sodium dodecyl sulfate (SDS) micelle, and direct electrostatic interaction with proteins by a Coomassie Brilliant Blue-type mechanism. This review discusses problems encountered in the analysis of proteins visualized with conventional stains and addresses advances in fluorescence protein detection, including immunoblotting, as well as the use of charge-coupled device (CCD) camera-based and laser-scanner-based image acquisition devices in proteomics.

Animals↗
PubMed2026

Membrane and proteome allocation constraints in Escherichia coli models during overflow metabolism.

The allocation of finite cellular resources is a fundamental principle that dictates microbial metabolic strategies and gives rise to complex phenomena, such as overflow metabolism, characterized by the production of respiro-fermentative by-products, including acetate, during rapid growth. Although proteome-constrained models have successfully predicted overflow metabolism in Escherichia coli, they often overlook the distinct biophysical and energetic costs associated with protein localization. The cellular membrane, in particular, represents a critical and constrained compartment where competition for space and synthesis machinery can create significant metabolic bottlenecks. To investigate this, we developed the membrane-associated constrained flux balance analysis (MAFBA), a scalable, genome-scale metabolic model that introduces a tunable constraint on the total protein mass allocated to the cellular membrane. Our model demonstrates that the overall and membrane-associated proteome allocation constraints interact to improve the accuracy of predicting the onset of overflow metabolism. It mechanistically reveals that at high growth rates, competition for limited membrane allocation forces a trade-off between growth-essential functions and respiratory capacity, leading to acetate production. Furthermore, MAFBA quantitatively explains the widely observed experimental phenomenon that expressing heterologous membrane proteins imposes a significantly higher metabolic burden than expressing cytosolic proteins. This study establishes membrane resource allocation as a key constraint governing bacterial physiology, acting in concert with overall proteome limitations. The resulting MAFBA framework provides a powerful and accessible tool for synthetic biology and metabolic engineering, enabling the prediction of metabolic costs associated with expressing membrane-bound proteins and guiding strain design strategies, holding promise for applications in bioproduction and metabolic engineering.

Escherichia coli↗
PubMed2000

Applying phage antibodies to proteomics: selecting single chain Fv antibodies to antigens blotted on nitrocellulose.

Two-dimensional gel electrophoresis is a powerful tool for identification of proteins that differ between patients with qualitatively or quantitatively different disease states. Further characterization of these protein differences would be greatly facilitated by the availability of antibodies that could be used to detect and quantitate the temporo-spatial pattern and cellular and tissue location of the different proteins. To generate such antibodies, methods were developed which permit the successful selection of monoclonal phage antibodies from phage display libraries against antigens blotted from SDS-PAGE gels onto nitrocellulose. First, it was determined that nitrocellulose and PVDF membranes gave significantly lower levels of background phage binding than two other membranes studied. Next, it was determined that blocking with fish gelatin and binding in the presence of 0.5 M NaCl could reduce nonspecific binding 10,000-fold and result in enrichment ratios greater than 500-fold with antigen concentrations as low as 1 ng/mm(2). When optimized conditions were applied to phage antibody libraries, panels of monoclonal phage antibodies were generated against the proteins ErbB2 and bovine serum albumin electroblotted from SDS-PAGE gels onto nitrocellulose. Antibodies were obtained with as little as 10 to 1 ng of antigen, depending on whether the libraries displayed single or multiple copies of antibody per phage. The antibodies worked as reagents in both ELISA and Western blotting.

Animals↗
PubMed2002

Stress-induced premature senescence and replicative senescence are different phenotypes, proteomic evidence.

In this paper, we illustrate how a proteomic analysis can be useful to approach complex biological problems, in this case the concept of stress-induced premature senescence (SIPS). According to the stochastic theories of ageing, damage that accumulate with time in the cellular components are responsible for cellular ageing. As a corollary, some sort of premature senescence should appear if the damage level is artificially increased due to the presence of stressing agents at subcytotoxic level. It has been shown, in several different models, that at a long-term after subcytotoxic stresses of many different natures, human diploid fibroblasts (HDFs) display biomarkers of replicative senescence (RS), which led to the concept of SIPS as compared to telomere-dependent RS. We compared RS and SIPS of HDFs by proteome analysis. SIPS was induced by two very different stressors: tert-butyhydroperoxide or ethanol. First, only a part of the protein expression changes observed in RS were also observed in SIPS. Second, HDFs in SIPS show changes specific either to the long-term effects of t-BHP or ethanol or independent of the nature of the stress. These changes have been termed "molecular scars" of subcytotoxic stresses. This work is also an excellent opportunity to discuss on important methodological issue in proteomics: the absolute requirement to start from reliable and reproducible models, which was the case in this study. We also focus on the data handling and statistical analysis allowing to use two-dimensional gel electrophoresis patterns in a semi-quantitative analysis.

Aging, Premature↗
PubMed2004

Bayesian analysis of signaling networks governing embryonic stem cell fate decisions.

MOTIVATION: Signaling events that direct mouse embryonic stem (ES) cell self-renewal and differentiation are complex and accordingly difficult to understand in an integrated manner. We address this problem by adapting a Bayesian network learning algorithm to model proteomic signaling data for ES cell fate responses to external cues. Using this model we were able to characterize the signaling pathway influences as quantitative, logic-circuit type interactions. Our experimental dataset includes measurements for 28 signaling protein phosphorylation states across 16 different factorial combinations of cytokine and matrix stimuli as reported previously. RESULTS: The Bayesian network modeling approach allows us to uncover previously reported signaling activities related to mouse ES cell self-renewal, such as the roles of LIF and STAT3 in maintaining undifferentiated ES cell populations. Furthermore, the network predicts novel influences such as between ERK phosphorylation and differentiation, or RAF phosphorylation and differentiated cell proliferation. Visualization of the influences detected by the Bayesian network provides intuition about the underlying physiology of the signaling pathways. We demonstrate that the Bayesian networks can capture the linear, nonlinear and multistate logic interactions that connect extracellular cues, intracellular signals and consequent cell functional responses.

Algorithms↗
PubMed2003

GoMiner: a resource for biological interpretation of genomic and proteomic data.

We have developed GoMiner, a program package that organizes lists of 'interesting' genes (for example, under- and overexpressed genes from a microarray experiment) for biological interpretation in the context of the Gene Ontology. GoMiner provides quantitative and statistical output files and two useful visualizations. The first is a tree-like structure analogous to that in the AmiGO browser and the second is a compact, dynamically interactive 'directed acyclic graph'. Genes displayed in GoMiner are linked to major public bioinformatics resources.

Computer Graphics↗
PubMed2004

All about DIGE: quantification technology for differential-display 2D-gel proteomics.

2D polyacrylamide gel electrophoresis has been the traditional workhorse of proteomics, allowing for the resolution of several thousand proteins in a single gel. Difference gel electrophoresis is an emerging technology that allows for accurate quantification with statistical confidence while controlling for nonbiologic variation, and also increases the dynamic range and sensitivity of traditional 2D polyacrylamide gel electrophoresis. With inclusion of an internal standard formed from equal amounts of every sample in an experiment, difference gel electrophoresis technology also allows for repetitive measurements and multivariable analyses to be quantitatively analyzed in one co-ordinated experiment, yielding statistically-significant changes in protein expression related to many disease states. This technique promises to be an important tool in clinical proteomics and the study of the mechanism of disease, investigating diagnostic biomarkers and pinpointing novel therapeutic targets.

Animals↗
PubMed2006

Mass defect labeling of cysteine for improving peptide assignment in shotgun proteomic analyses.

A method for improving the identification of peptides in a shotgun proteome analysis using accurate mass measurement has been developed. The improvement is based upon the derivatization of cysteine residues with a novel reagent, 2,4-dibromo-(2'-iodo)acetanilide. The derivitization changes the mass defect of cysteine-containing proteolytic peptides in a manner that increases their identification specificity. Peptide masses were measured using matrix-assisted laser desorption/ionization Fourier transform ion cyclotron mass spectrometry. Reactions with protein standards show that the derivatization of cysteine is rapid and quantitative, and the data suggest that the derivatized peptides are more easily ionized or detected than unlabeled cysteine-containing peptides. The reagent was tested on a 15N-metabolically labeled proteome from M. maripaludis. Proteins were identified by their accurate mass values and from their nitrogen stoichiometry. A total of 47% of the labeled peptides are identified versus 27% for the unlabeled peptides. This procedure permits the identification of proteins from the M. maripaludis proteome that are not usually observed by the standard protocol and shows that better protein coverage is obtained with this methodology.

Alkylation↗
PubMed1998

Human and mouse proteomic databases: novel resources in the protein universe.

Proteomics is an emerging area of research of the post-genomic era that deals with the global analysis of gene expression using a plethora of techniques to resolve (high resolution two-dimensional polyacrylamide gel electrophoresis, 2D PAGE), identify (peptide sequencing by Edman degradation, mass spectrometry, Western immunoblotting, etc.), quantitate and characterize proteins, as well as to store (comprehensive 2D PAGE databases), communicate and interlink protein and DNA sequence and mapping information from genome projects. Here we review the current status as well as applications of human and mouse proteomic 2D PAGE databases that are being systematically constructed for the global analysis of gene expression in both health and disease (http://biobase.dk/cgi-bin/celis). Furthermore, we discuss the problems one faces when using powerful proteomic technology to study heterogeneous tissue and tumor biopsies, and emphasize the importance of building comprehensive databases that contain a critical mass of information for both known and novel proteins in normal and disease conditions.

Animals↗
PubMed2007

Genomics of sleep-disordered breathing.

The technologies of genomics and proteomics are powerful tools for discovering novel gene and protein expression responses to disease. Considerable evidence indicates that a genetic basis exists to the causes of sleep-disordered breathing, in particular its most common form of obstructive sleep apnea (OSA), which is characterized by periods of intermittent hypoxia and disrupted sleep. However, the genetic contribution to the pathogenesis of OSA has largely been determined using traditional genetic approaches of family, twin, and linkage studies in clinical populations and quantitative trait loci and targeted gene procedures in animal models of OSA. In contrast to the pathogenesis of OSA, the consequences or sequelae of OSA are highly amenable to genomic and proteomic approaches. Animal studies have assessed changes in gene and protein expression in multiple organ systems in response to intermittent hypoxia and sleep deprivation and uncovered novel gene activation paradigms. The first tentative steps have been made toward applying proteomic analyses of blood and urine from patients with OSA as a potential screening tool for diagnosis in the clinical setting. It is anticipated that genomic and proteomic technologies will become increasingly used in the area of OSA with the unprecedented access to tissue in procedures such as bariatric surgery. OSA represents a severe insult to the oxygenation of tissues and the homeostasis of sleep, and genomic and proteomic approaches hold promise for defining previously unexplored mechanisms and pathways that lead to downstream pathologies, including hypertension, insulin resistance, and neurocognitive dysfunction.

Animals↗
PubMed2001

Identification of Rgg-regulated exoproteins of Streptococcus pyogenes.

Streptococcus pyogenes secretes many proteins that influence host-pathogen interactions. Despite their importance, relatively little is known about the regulation of these proteins. The rgg gene (also known as ropB) is required for the expression of streptococcal erythrogenic toxin B (SPE B), an extracellular cysteine protease that contributes to virulence. Proteomics was used to determine if rgg regulates the expression of additional exoproteins. Exponential- and stationary-phase culture supernatant proteins made by S. pyogenes NZ131 rgg and NZ131 speB were separated by two-dimensional electrophoresis. Differences were identified in supernatant proteins from both exponential- and stationary-phase cultures, although considerably more differences were detected among stationary-phase supernatant proteins. Forty-two proteins were identified by peptide fingerprinting with matrix-assisted laser desorption mass spectrometry. Mitogenic factor, DNA entry nuclease (open reading frame [ORF 226]), and ORF 953, which has no known function, were more abundant in the culture supernatants of the rgg mutant compared to the speB mutant. ClpB, lysozyme, and autolysin were detected in the culture supernatant of the speB mutant but not the rgg mutant. To determine if Rgg affected protein expression at the transcriptional level, real-time (TaqMan) reverse transcription (RT)-PCR was used to quantitate Rgg-regulated transcripts from NZ131 wild-type and speB and rgg mutant strains. The results obtained with RT-PCR correlated with the proteomic data. We conclude that Rgg regulates the transcription of several genes expressed primarily during the stationary phase of growth.

Bacterial Outer Membrane Proteins↗
PubMed2006

Rapid antibody quantification and generation of whole proteome antibody response profiles using LIPS (luciferase immunoprecipitation systems).

The application of LIPS to the rapid quantification of antibody responses to infectious agents is described. Chimeric genes encoding pathogen antigens fused to Renilla luciferase are expressed in mammalian cells; crude extracts are prepared and, without purification, employed in immunoprecipitation assays to quantify pathogen-specific antibodies. In cross-sectional and longitudinal studies, antibody levels to the MSG-14 antigen of Pneumocystis jirovecii measured by this assay correlated well with levels previously obtained with an optimized ELISA. We also correctly predicted Hepatitis B (HBV), Hepatitis C (HCV), and HIV infection status in all but 2 of 99 assays analyzing 33 patient sera. We then used 15 HIV-encoded proteins comprising the whole HIV proteome to generate antibody response profiles for these 33 sera. Each HIV antigen was recognized by antibodies in serum from at least one HIV-infected individual. Data generated with these simple, quantitative antibody-detection assays have both clinical and research applications.

Antibodies↗
PubMed2005

Differential proteomic analysis of proteins induced by glucocorticoids in cultured murine podocytes.

BACKGROUND: The glomerular podocyte is the kidney cell most affected during the development of nephrotic syndrome, and mutations in podocyte proteins are responsible for a variety of inherited forms of nephrotic syndrome. Although glucocorticoids are a primary treatment for nephrotic syndrome, neither their target cell nor mechanism of action are known. In order to describe the proteome of the podocyte, and to identify podocyte proteins whose expression is altered by glucocorticoids, we performed a differential proteomic analysis of control and dexamethasone-treated cultured murine podocytes. METHODS: Podocyte proteins were separated by two-dimensional-polyacrylamide gel electrophoresis (PAGE) and identified by matrix-assisted laser desorption time-of-flight (MALDI-TOF) mass spectrometry and peptide fingerprinting. Comparisons of stained two-dimensional-PAGE separations were used to identify proteins whose expression was altered by treatment with the glucocorticoid dexamethasone, and these results were confirmed by quantitative Western blotting. RESULTS: A total of 106 protein spots yielded MALDI-TOF results, and 92 were identified by protein fingerprinting. Of the 88 unique proteins and four protein isoforms identified, six proteins were found whose expression was altered by dexamethasone. The proteome of cultured murine podocytes is particularly rich in actin cytoskeletal proteins and proteins involved in responses to cellular stress. The change in expression of three proteins [ciliary neurotrophic factor (CNTF), alphaB-crystallin, and heat shock protein 27 (hsp27)] was confirmed by quantitative Western blotting. CONCLUSION: Three proteins with known roles in protecting cells from injury were up-regulated by dexamethasone, demonstrating that glucocorticoids exert a direct effect on cultured podocytes resulting in changes in the expression of proteins with potential relevance to the therapeutic action of glucocorticoids in diseases such as nephrotic syndrome.

Animals↗
PubMed2004

A global approach combining proteome analysis and phenotypic screening with RNA interference yields novel apoptosis regulators.

Global approaches like proteome or transcriptome analyses have been performed extensively to identify candidate genes or proteins involved in biological and pathological processes. Here we describe the identification of proteins implicated in the regulation of apoptosis using proteome analysis and the functional validation of targets by RNA interference. A high-throughput platform for the validation of synthetic small interfering RNAs (siRNAs) by quantitative real-time PCR was established. Genes of the identified factors were silenced by automated siRNA transfection, and their role in apoptotic signaling was investigated. Using this strategy, nine new modulators of apoptosis were identified. A subsequent detailed study demonstrated that hepatoma-derived growth factor (HDGF) is required for TNFalpha-induced release of pro-apoptotic factors from mitochondria. The strategy described here may be used for hypothesis-free, global gene function analysis.

Apoptosis↗
PubMed2006

Defining aggressive prostate cancer using a 12-gene model.

The critical clinical question in prostate cancer research is: How do we develop means of distinguishing aggressive disease from indolent disease? Using a combination of proteomic and expression array data, we identified a set of 36 genes with concordant dysregulation of protein products that could be evaluated in situ by quantitative immunohistochemistry. Another five prostate cancer biomarkers were included using linear discriminant analysis, we determined that the optimal model used to predict prostate cancer progression consisted of 12 proteins. Using a separate patient population, transcriptional levels of the 12 genes encoding for these proteins predicted prostate-specific antigen failure in 79 men following surgery for clinically localized prostate cancer (P = .0015). This study demonstrates that cross-platform models can lead to predictive models with the possible advantage of being more robust through this selection process.

Biomarkers, Tumor↗
PubMed2006

Proteomic screening of salt-stress-induced changes in plasma membranes of Synechocystis sp. strain PCC 6803.

The plasma membrane of a cyanobacterial cell is crucial as barrier against the outer medium. It is also an energy-transducing membrane as well as essential for biogenesis of cyanobacterial photosystems and the endo-membrane system. Previously we have identified 57 different proteins in the plasma membrane of control cells from Synechocystis sp. strain PCC6803. In the present work, proteomic screening of salt-stress proteins in the plasma membrane resulted in identification of 109 proteins corresponding to 66 different gene products. Differential and quantitative analyses of 2-DE profiles of plasma membranes isolated from both control and salt-acclimated cells revealed that twenty proteins were enhanced/induced and five reduced during salt stress. More than half of the enhanced/induced proteins were periplasmic binding proteins of ABC-transporters or hypothetical proteins. Proteins that exhibited the highest enhancement during salt stress include FutA1 (Slr1295) and Vipp1 (Sll0617), which have been suggested to be involved in protection of photosystem II under iron deficiency and in thylakoid membrane formation, respectively. Other salt-stress proteins were regulatory proteins such as PII protein, LrtA, and a protein that belongs to CheY subfamily. The physiological significance of the identified salt-stress proteins in the plasma membrane is discussed integrating our current knowledge on cyanobacterial stress physiology.

Bacterial Proteins↗