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PubMed2005

Fractionation and identification of proteins by 2-DE and MS: towards a proteomic analysis of Plasmodium falciparum.

Since completion of genome sequencing of the malarial parasite Plasmodium falciparum, proteomic tools for the identification of parasite proteins have become particularly attractive as they allow a more thorough interpretation of these data. Recent advances in 2-D PAGE, MS, and bioinformatics have created great opportunities for mapping and characterization of protein populations. We employed these improvements in a proteomic approach for the analysis of proteins detected in two blood stages of P. falciparum, (i) in the schizont stage and (ii) in the merozoite stage. For the isolation of merozoites, we introduced a new protocol based on the preparation of clustered structures of merozoites upon treatment of cultures with the common cysteine proteinase inhibitor E64. Peptide mass fingerprints of excised and trypsinated protein spots, acquired by MALDI-TOF MS were generated to identify a variety of proteins. Moreover, prefractionation procedures were used to enrich and map low-abundance proteins in protein samples. The data demonstrate that classic proteomic analyses using 2-D PAGE are now feasible for P. falciparum and represent the first step in the direction of creating 2-D reference maps for this medically most relevant protozoon.

Animals↗
PubMed2005

A proteomic analysis of murine bone marrow and its response to ionizing radiation.

To characterize the mouse bone marrow tissue proteome and investigate the response to radiation damage we took bone marrow before and after 4-Gy gamma-irradiation from mouse strains (C57BL/6 and CBA/Ca) that differ in their short-term and long-term radiation responses and analyzed extracellular proteins by high-resolution 2-DE. Twenty proteins were identified from 71 protein spots in both C57BL/6 and CBA/Ca. We detected significant differences between control and irradiated bone marrow and between genotypes and identified many of the changed proteins by MS. In C57BL/6, 27 spots were significantly different between control and irradiated samples. In CBA/Ca, 18 spots showed significant changes following irradiation. Proteins such as serum albumin, apolipoprotein A-I, ferritin, haptoglobin (Hp) and alpha-1-antitrypsin were changed in irradiated bone marrow of both mouse strains, reflecting an ongoing acute-phase reaction. Several other proteins including serotransferrin, neutrophil collagenase, peroxiredoxin 2 and creatine kinase M chain were changed specifically in an individual mouse strain. The proteomic approach makes an important contribution to characterizing bone marrow proteome and investigating the tissue response of bone marrow to radiation, assists in identifying genotype-dependent responses and provides support for the importance of microenvironmental factors contributing to the overall response.

Amino Acid Sequence↗
PubMed2005

Human urine proteome analysis by three separation approaches.

The urinary proteome is known to be a valuable field of study related to organ functions. There have been several extensive urine proteome studies. However, the overlapping rate among different studies is relatively low. Whether the low overlapping rate was caused by different sample sources, preparation, separation and identification methods is unknown. Moreover, low molecular mass (<10 kDa) proteins have not been studied extensively. In this report, male and female pooled urine samples were collected from healthy volunteers. The urinary proteins were acetone precipitated, separated and identified by three approaches, 1-DE plus 1-D LC/MS/MS, direct 1-D LC/MS/MS and 2-D LC/MS/MS. 1-D tricine gels were used to separate low molecular mass proteins. The tandem mass spectra of positive identifications were quality controlled both by manual validation and using advanced mass spectrum scanner software. A total of 226 urinary proteins were identified; 171 proteins were identified by proteomics approach for the first time, including 4 male-specific proteins. Twelve low molecular mass proteins were identified. Most urinary proteins had a molecular mass between 30 and 60 kDa and a pI between 4 and 10. The apparent molecular masses of many proteins were different from theoretical ones, which indicated their post-translational modification and degradation. The effects of sample preparation, separation and identification methods on the overlapping rate of different experiments are discussed.

Adult↗
PubMed2006

Changes in the rat heart proteome induced by exercise training: Increased abundance of heat shock protein hsp20.

Chronic exercise training elicits adaptations in the heart that improve pump function and confer cardioprotection. To identify molecular mechanisms by which exercise training stimulates this favorable phenotype, a proteomic approach was employed to detect rat cardiac proteins that were differentially expressed or modified after exercise training. Exercise-trained rats underwent six weeks of progressive treadmill training five days/week, 0% grade, using an interval training protocol. Sedentary control rats were age- and weight-matched to the exercise-trained rats. Hearts were harvested at various times (0-72 h) after the last bout of exercise and were used to generate 2-D electrophoretic proteome maps and immunoblots. Compared with hearts of sedentary rats, 26 protein spot intensities were significantly altered in hypertrophied hearts of exercise-trained rats (p <0.05), and 12 spots appeared exclusively on gels from hearts of exercise-trained rats. Immunoblotting confirmed that chronic exercise training, but not a single bout of exercise, elicited a 2.5-fold increase in the abundance of one of the candidate proteins in the heart, a 20 kDa heat shock protein (hsp20) that persisted for at least 72 h of detraining. Thus, exercise training alters the cardiac proteome of the rat heart; the changes include a marked increase in the expression of hsp20.

Animals↗
PubMed2006

Disulfide proteome yields a detailed understanding of redox regulations: a model study of thioredoxin-linked reactions in seed germination.

Accumulating evidence suggests that redox regulations play important roles in a broad spectrum of biological processes. Recently, Yano et al. developed a disulfide proteome technique that comprehensively visualizes redox change in proteins. In this paper, using the disulfide proteome, we examined rice bran and identified fragments of embryo-specific protein and dienelactone hydrolase as putative targets of thioredoxin. Also, monitoring of the endogenous and recombinant effects of thioredoxin on rice bran proteins and supporting in vivo observations propose a mechanism of redox regulation in seed germination, in which thioredoxin activates cysteine protease with a concurrent unfolding of its substrate, the embryo-specific protein. Our findings suggest that thioredoxin controls the lifetime of specific proteins effectively by regulating the redox reactions coordinately. The model study demonstrates that the disulfide proteome technique is useful not only for identifying targets of thioredoxin, but also for clarify the detailed mechanism of redox regulation.

Amino Acid Sequence↗
PubMed2006

Comparative proteome approach to characterize the high-pressure stress response of Lactobacillus sanfranciscensis DSM 20451(T).

High hydrostatic pressure (HHP) exerts diverse effects on microorganisms, leading to stress response and cell death. While inactivation of microorganisms by lethal HHP is well investigated in the context of food preservation and the hygienic safety of minimal food processes, sublethal HHP stress response and its effect on adaptation and cross-protection is less understood. In this study, the HHP stress response of Lactobacillus sanfranciscensis was characterized and compared with cold, heat, salt, acid and starvation stress at the proteome level by using 2-DE so as to provide insight into general versus specific stress responses. Sixteen proteins were found to be affected by HHP and were identified by using N-terminal amino acid sequencing and MS. Only one slightly increased protein was specific to the HHP response and showed homology to a clp protease. The other proteins were influenced by most of the investigated stresses in a similar way as HHP. The highest similarity in the HHP proteome was found to be with cold- and NaCl-stressed cells, with 11 overlapping proteins. At the proteome level, L. sanfranciscensis appears to use overlapping subsets of stress-inducible proteins rather than stereotype responses. Our data suggest that a specific pressure response does not exist in this bacteria.

Amino Acid Sequence↗
PubMed2006

A multidimensional proteomic approach to identify hypertrophy-associated proteins.

Left ventricular hypertrophy (LVH) is a leading cause of congestive heart failure. The exact mechanisms that control cardiac growth and regulate the transition to failure are not fully understood, in part due to the lack of a complete inventory of proteins associated with LVH. We investigated the proteomic basis of LVH using the transverse aortic constriction model of pressure overload in mice coupled with a multidimensional approach to identify known and novel proteins that may be relevant to the development and maintenance of LVH. We identified 123 proteins that were differentially expressed during LVH, including LIM proteins, thioredoxin, myoglobin, fatty acid binding protein 3, the abnormal spindle-like microcephaly protein (ASPM), and cytoskeletal proteins such as actin and myosin. In addition, proteins with unknown functions were identified, providing new directions for future research in this area. We also discuss common pitfalls and strategies to overcome the limitations of current proteomic technologies. Together, the multidimensional approach provides insight into the proteomic changes that occur in the LV during hypertrophy.

Animals↗
PubMed2006

Proteomic analysis of rat pheochromocytoma PC12 cells.

PC12 cell line is well documented and widely applied as many kinds of models in neurobiological and neurochemical studies. Yet a thorough proteomic analysis has not been performed so far. Here we report the construction of a large-scale 2-D protein database for PC12 cells. The proteins extracted from PC12 cells were separated by 2-DE and identified by MALDI-TOF/TOF MS. A total of 1080 protein spots, excised from three different 2-D gels, were identified with high confidence. These proteins represent 474 different gene products, mainly binding proteins and enzymes. Three hundred and seven identified protein spots were located in the low-molecular weight region below 20 kDa. This database today represents one of the largest 2-D databases for higher eukaryotic cell proteomes and for low-molecular weight proteins. In addition, fragment ion spectra obtained by TOF/TOF confirmed that calcylin in PC12 cells was N-acetylated. The database of PC12 proteome is expected to be a powerful tool for neuroscientists.

Animals↗
PubMed2006

Proteomic analysis in human breast cancer: identification of a characteristic protein expression profile of malignant breast epithelium.

Gene expression analysis has become a promising tool in predicting the clinical course of malignant disease and the response to antineoplastic therapy. Surprisingly, only little is known about the protein expression pattern of human tumors. Recent advances in proteomic analysis allow proteins of interest to be identified by their expression and/or modification pattern in 2-DE rather than using the traditional approach of translating gene expression data. To identify a proteomic pattern that is characteristic for malignant breast epithelium, we performed differential 2-DE analysis in sets of microdissected malignant breast epithelia and corresponding adjacent normal breast epithelia from five patients with invasive breast carcinoma. Thirty-two protein spots were found to be selectively regulated in malignant epithelium, and were subjected to MALDI-TOF and/or immunoblotting for protein identification. Thirteen of the identified proteins had previously not been associated with breast cancer. The validity of these findings was confirmed by literature review and immunohistochemistry for identified proteins in an independent cohort of 50 breast cancer specimens. We here describe, for the first time, a proteomic analysis of matched normal and malignant epithelia from invasive breast carcinomas. This strategy leads to a better understanding of oncogenesis at an operational level and helps to characterize the malignant phenotype of individual tumors, and thereby to identify novel targets for antineoplastic therapy.

Adult↗
PubMed2006

Detergent-free caveolae proteome suggests an interaction with ER and mitochondria.

Recent proteomic studies of detergent resistant membrane fractions have begun to characterize the protein composition of caveolae and lipid rafts. The methods used in most of these studies, however, are not able to distinguish between plasma membrane and internal membrane lipid domains. Here we used a non-detergent method for obtaining fractions enriched in caveolae derived from the plasma membrane of multiple cell types. Unexpectedly, the proteins in the caveolae proteome suggest these lipid domains may interact with elements of ER and mitochondria. A comparison of the partial proteome we obtained with other published reports identifies 26 proteins that are candidate marker proteins for identifying caveolae in multiple cell types.

Caveolae↗
PubMed2006

Pedigree analysis of an elite rice hybrid using proteomic approach.

The definition of dominance or epistasis is generally on the basis of a descriptive characterization for these crops in the field, such as yield per hectare and the weight of grain. Since these trait examinations lack molecular information, how to precisely predict the phenotypic changes in filial generation is still a problem in heterosis studies. For rice, the genetic information caused by hybridization can be archived through analyzing of proteomes of rice seeds. Differential analysis of proteomes was introduced for the rice seeds of three cultivars, 9311, PA64S and LYP9, an elite rice hybrid from cross between 9311 and PA64S. In the three rice endosperms, the expression profiles of proteins were similar with the stained spots of 47 +/- 1, 46 +/- 0.6 and 44 +/- 0.6, for 9311, PA64S and LYP9, respectively; however, the number of proteins expressed in the rice embryos was significantly increased with the stained spots of 395.3 +/- 12.9, 350 +/- 9.2, and 389.3 +/- 16.4, for 9311, PA64S and LYP9, respectively. Importantly, the image comparisons and protein identifications have revealed in significantly different embryo protein spots among the three rice cultivars. By carefully analyzing these different 2-DE spots, many of them from the three embryos were shown to display a mirrored relationships between parents and the first filial generation. Furthermore, all of stained spots in LYP9 embryo were found on the 2-DEs from its parents, indicating that there was a genetic linkage. These results suggest that proteomic approach is able to serve pedigree analysis and functional prediction for new rice breeds.

Chromosome Mapping↗
PubMed2006

Expressed proteome analysis of human hepatocellular carcinoma in nude mice (LCI-D20) with high metastasis potential.

We report for the first time an expressed proteome for human hepatocellular carcinoma (HCC) in nude mice model. Most cases of human liver cancer are HCC with highly metastatic ability. Therefore, the early prediction or diagnosis and effective treatment are the key points of research. We have previously successfully established a human HCC nude mice model (LCI-D20) with high metastasis potential. To understand better the tumor biology of HCC it is worth to explore the relativity of all expressed protein profiles in the LCI-D20 HCC nude mice model. With advanced proteomics technologies, we have carried out a proteomic analysis with following stages: protein sample preparation of cancer tissue, including total cellular extraction and sequential fractionation, 2-DE and 2-D LC separation, ESI/MALDI-MS/MS identification, as well as data-dependent bioinformatics. The identified proteins were classified bioinformatically respective to their function, biological process and intracellular localization. Some important proteins found in HCC, e.g. metabolism enzymes, proteins regulating cell motility, signaling proteins, and heat shock proteins, are discussed in terms of their metastasis.

Animals↗
PubMed2006

Proteomic and biochemical analyses of in vitro carcinogen-induced lung cell transformation: synergism between arsenic and benzo[a]pyrene.

Chronic coexposures to carcinogens inorganic arsenic and benzo[a]pyrene (B[a]P) are common in the living environment. However, little is known about their effects exerted at the proteome level. Our previous study in rat lung epithelial cells showed that cell transformation frequency increased by more than 100-fold when arsenic was given in combination with B[a]P than cells either exposed to arsenic or B[a]P alone. This demonstrated a synergism between them. Here, we reported that alterations to the proteome varied and were more pronounced in the transformed cells that were exposed to a combination of arsenic and B[a]P than to B[a]P and much less to arsenic alone when compared to passage-matched control cells. In general, three proteins belonging to intermediate filaments were found to be significantly down-regulated and six proteins belonging to antioxidative stress-, chaperone-, and glycolytic proteins were up-regulated in these transformed cells. These transformed cells were also associated with an increase of proliferation and de-differentiation. Taken together, our findings suggest that although arsenic or B[a]P alone is sufficient to induce cell transformation and alter the proteome to a similar extent, the effects of coexposure are much more pronounced. This further substantiates the notion that these carcinogens act in concert during cocarcinogenesis.

Actinin↗
PubMed2006

Proteomic analysis of acute myeloid leukemia: Identification of potential early biomarkers and therapeutic targets.

The main goal of this study was to analyze, using proteomic techniques, changes in protein expression of acute myeloid leukemia (AML) cells that could give insights into a better early prognosis for tumor pathophysiology. Proteomic analysis of different subtypes of AML cells was carried out using 2-DE and MALDI-TOF PMF analysis. Proteins identified as more significantly altered between the different AMLs belonged to the group of suppressor genes, metabolic enzymes, antioxidants, structural proteins and signal transduction mediators. Among them, seven identified proteins were found significantly altered in almost all the AML blast cells analyzed in relation to normal mononuclear blood cells: alpha-enolase, RhoGDI2, annexin A10, catalase, peroxiredoxin 2, tromomyosin 3, and lipocortin 1 (annexin 1). These differentially expressed proteins are known to play important roles in cellular functions such as glycolysis, tumor suppression, apoptosis, angiogenesis and metastasis, and they might contribute to the adverse evolution of the disease. Proteomic analysis has identified for the first time novel proteins that may either help to form a differential prognosis or be used as markers for disease outcome, thus providing potential new targets for rational pathogenesis-based therapies of AML.

Adolescent↗
PubMed2006

A proteomic approach for unraveling the oncogenic H-Ras protein networks in NIH/3T3 mouse embryonic fibroblast cells.

To elucidate the oncogenic H-Ras network, we have established various stable and inducible oncogenic H-Ras-expressing NIH/3T3 mouse embryonic fibroblast cell clones, which express G12V H-Ras and G12R H-Ras proteins under the influence of a strong cytomegalovirus promoter and under the tight control of expression by an antibiotic, doxycycline, respectively. Here we provide a catalogue of proteome profiles in total cell lysates derived from oncogenic H-Ras-expressing NIH/3T3 cells. In this biological context, we compared total proteome changes by the combined methods of 2-DE, quantitative image analysis and MALDI-TOF MS analysis using both a stable expression system as well as an inducible expression system. There were a large number of common targets for oncogenic H-Ras, which were identified in both cell lines and consisted of 64 proteins (36 up-regulated and 28 down-regulated). Differentially regulated expression was further confirmed for some subsets of candidates by Western blot analysis using specific antibodies. Taken together, the results presented here show that comparative analysis of the proteome from the oncogenic H-Ras-expressing cells yielded interpretable data to elucidate protein networks directly and/or indirectly.

Animals↗
PubMed2006

Proteomics-based generation and characterization of monoclonal antibodies against human liver mitochondrial proteins.

Monoclonal antibodies (mAbs) have the potential to be a very powerful tool in proteomics research to determine protein expression, quantification, localization and modification, as well as protein-protein interactions, especially when combined with microarray technology. Thus, a large amount of well-characterized and highly qualified antibodies are needed in proteomics. Purified antigen, which is not always available, has proven to be one of the rate-limiting steps in mAb large-scale generation. Here we describe our strategies to establish a murine hybridoma cell bank for human liver mitochondria using unknown native proteins as the immunogens. The antibody-recognized mitochondrial proteins were identified by MS following immunoprecipitation (IP), and by screening of human liver cDNA expression library. We found that the established antibodies reacted specifically with a number of important enzymes in mitochondria. The subcellular localization of these antigens in mitochondria was further confirmed by immunohistocytochemistry. A panel of antibodies was also tested for their ability to capture and deplete the targeting proteins and complexes from the total mitochondrial proteins. We believe these well-characterized antibodies would be useful in various applications for Human Liver Proteome Project (HLPP) when the scale of this hybridoma cell bank is enlarged significantly in the near future.

Antibodies, Monoclonal↗
PubMed2006

Proteomic analysis of heterotrophy in Synechocystis sp. PCC 6803.

To provide an insight into the heterotrophic metabolism of cyanobacteria, a proteomic approach has been employed with the model organism Synechocystis sp. PCC 6803. The soluble proteins from Synechocystis grown under photoautotrophic and light-activated heterotrophic conditions were separated by 2-DE and identified by MALDI-MS or LC-MS/MS analysis. 2-DE gels made using narrow- and micro-range IPG strips allowed quantitative comparison of more than 900 spots. Out of 67 abundant protein spots identified, 13 spots were increased and 9 decreased under heterotrophy, representing all the major fold changes. Proteomic alterations and activity levels of selected enzymes indicate a shift in the central carbon metabolism in response to trophic change. The significant reduction in light-saturated rate of photosynthesis as well as in the expression levels of rubisco and CO(2)-concentrating mechanism proteins under heterotrophy indicates the down-regulation of the photosynthetic machinery. Alterations in the expression level of proteins involved in carbon utilization pathways refer to enhanced glycolysis, oxidative pentose phosphate pathway as well as tricarboxylic acid cycle under heterotrophy. Proteomic evidences also suggest an enhanced biosynthesis of amino acids such as histidine and serine during heterotrophic growth.

Amino Acids↗
PubMed2006

Population proteomics: an emerging discipline to study metapopulation ecology.

Proteomics research has developed until recently in a relative isolation from other fast-moving disciplines such as ecology and evolution. This is unfortunate since applying proteomics to these disciplines has apparently the potential to open new perspectives. The huge majority of species indeed exhibit over their entire geographic range a metapopulation structure, occupying habitats that are fragmented and heterogeneous in space and/or through time. Traditionally, population genetics is the main tool used to studying metatopulations, as it describes the spatial structure of populations and the level of gene flow between them. In this Viewpoint, we present the reasons why we think that proteomics, because of the level of integration it promotes, has the potential to resolve interesting issues specific to metapopulation biology and adaptive processes.

Animals↗