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Results for “proteomic profiling”

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At least 1,711 records · Page 95Linked to original sources
PubMed2003

Detection of renal cell carcinoma-associated markers via proteome- and other 'ome'-based analyses.

Proteome analysis has rapidly developed in the post-genome era and is now widely accepted as the complementary technology for genetic profiling. It has been shown to be a powerful tool for studying human diseases and for identifying novel prognostic, diagnostic and therapeutic markers. This review focuses on the identification of new biomarkers and therapeutic targets for renal cell carcinoma using different 'ome'-based technologies.

Biomarkers, Tumor↗
PubMed2004

[Protein changes in human embryonic lung fibroblasts after hydroquinone stimulation using proteomic technique].

OBJECTIVE: To explore the molecular mechanism of cell response induced by hydroquinone, we investigated the protein profile after treatment with hydroquinone in human embryonic lung fibroblasts. METHODS: After HQ treatment, cells were lysed in lysis solution, then the supernatant were collected and precipitated with acetone prior to protein concentration determination. The total cellular proteins were separated using two-dimensional gel electrophoresis and visualized by colloidal coomassie blue staining. Digital images were analyzed using Imagemaster 2.0 software. The differentially expressed protein spots were picked and digestion in gel then identified by peptide mass fingerprinting using MALDI-TOF. RESULTS: There were 15 protein spots changed after HQ stimulation. Among them 8 protein spots were identified by PMF including some oxidative stress and cytoskeleton related proteins. CONCLUSION: Protein profile was altered after HQ stimulation.

Cells, Cultured↗
PubMed2006

Selective enrichment and ultrasensitive identification of trace peptides in proteome analysis using transient capillary isotachophoresis/zone electrophoresis coupled with nano-ESI-MS.

Besides the complexity in protein samples of biological origin, probably the greatest challenge presently facing comprehensive proteome analysis is related to the large variation of protein relative abundances (>6 orders of magnitude), having potential biological significance in mammalian systems. As demonstrated in this work, transient capillary ITP/zone electrophoresis (CITP/CZE) provides selective analyte enrichment through electrokinetic stacking and extremely high resolving power toward protein and peptide mixtures. The result of the CITP process is that major components may be diluted, but trace compounds are concentrated. The on-column transition of CITP to CZE minimizes additional band broadening while providing superior analyte resolution. Online coupling of transient CITP/CZE with nano-ESI-MS allows ultrasensitive detection of trace peptides at levels of subnanomolar concentration or subfemtomole mass in complex peptide mixtures. More importantly, selective enrichment of trace peptides enables the identification and sequence analysis of low-abundance peptides co-migrated with highly abundant species at a concentration ratio of 1:500,000. The combined CITP/CZE-nano-ESI-MS system is demonstrated to be at least one to two orders of magnitude more sensitive than that attained in conventional electrophoretic and chromatographic-based proteome technologies over a wide dynamic concentration range, potentially allowing comprehensive analysis of protein profiles within a small cell population and limited tissue samples using conventional mass spectrometers. Furthermore, the speed of CITP/CZE separation and the lack of column equilibration in CITP/CZE not only improve the throughput of proteome analysis, but also facilitate its seamless integration with other separation technologies in a multidimensional protein identification platform.

Cytochromes c↗
PubMed2006

[Comparative proteome analysis of human lung squamous cell carcinoma].

OBJECTIVE: This study was designed to establish the two-dimensional electrophoresis profiles with high resolution and reproducibility from human lung squamous cell carcinoma tissue and paired tumor-adjacent normal bronchial epithelial tissue, and to identify differential expression of tumor-associated proteins by using proteome analysis. METHODS: Comparative proteome analysis of human lung squamous carcinoma and paired normal bronchial mucosa adjacent to tumors from 20 cases were carried out. Total proteins of the carcinoma tissue and normal bronchial mucosa were separated by means of immobilized pH gradient-based two-dimensional gel electrophoresis (2-DE). The differentially expressed proteins were analyzed and identified by matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF-MS). RESULTS: (1) Seventy-six differentially expressed proteins were screened by analyzing the electrophoretic maps of the 20 carcinoma and control mucosa tissues. (2) Sixty-eight differential proteins were identified by peptide mass fingerprinting (PMF). Some proteins were products of oncogenes and others were involved in the regulation of cell cycle and signal transduction. (3) The expression of three proteins mdm2, c-Jun and EGFR, correlated with lung squamous carcinoma, were detected by immunohistochemical staining and Western blot analysis. The results showed that the expression of mdm2, c-Jun and EGFR were up-regulated in lung squamous carcinomas, whereas down-regulated in control normal mucosa. It was consistent with our proteome analysis results. Those results suggested that those proteins may play roles in the carcinogenesis of lung squamous carcinoma. CONCLUSION: sixty-eight differentially expressed proteins were successfully characterized by comparative proteome analysis. Those results may provide scientific foundation for screening the molecular biomarkers which can be used in diagnosis and treatment of lung squamous carcinoma, as well as to improve patients' prognosis and provide a new clue for carcinogenesis research of lung squamous cell carcinoma.

Adult↗
PubMed2005

Identification of parathyroid hormone-regulated proteins in mouse bone marrow cells by proteomics.

The ability of parathyroid hormone (PTH) to enhance bone formation has recently been exploited in the treatment of osteoporosis. Several studies have suggested that the activation of bone marrow stromal cells could be preceded to show the anabolic effect of PTH on bone formation, but little is known of PTH-regulated proteins in bone marrow cells. Therefore, protein profiling in the intermittent PTH-treated bone marrow cells was evaluated using proteomics. Daily treatment for 5 days consisting of subcutaneous injection of either 150 microg/kg per day of mouse PTH (1-84) or vehicle (0.9% normal saline) was performed on the ICR mouse. At the end of the treatment period, bone marrow cells were separated and used in proteomics. The expression levels of seven proteins including vimentin were decreased, but those of four proteins including calreticulin and thioredoxin domain containing 7 protein (Txnde7) were increased. Among these, the decrease of vimentin and the increase of both calreticulin Txnde7 in mRNA levels were confirmed by semi-quantitative RT-PCR. In PTH-treated mouse MC3T3-E1 osteoblast cells, mRNA expression levels were not totally consistent with the results observed in proteomics. In conclusion, the differentially expressed proteins in bone marrow cells depending on PTH could be highly linked to the differentiation of osteoprogenitor cells in the bone marrow into preosteoblast cells.

Animals↗
PubMed2003

Pharmacogenetics and proteomics of anticancer drugs in non-Hodgkin's lymphoma.

The variability of tumor responses to chemotherapeutic agents is a topic of major interest in current cancer research. Advances in the knowledge of dysregulation of key molecular pathways in cancer cells have enabled techniques to be developed that can profile tumor cells for their genetic background, allowing selection of anticancer agents on an individual basis. The next generation of anticancer treatments might therefore be tailored according to the molecular alterations identified in tumor cells of individual patients. However, before these alterations can be exploited from a therapeutic point of view, it is necessary to understand how such alterations influence the cellular pathways that control sensitivity to chemotherapeutic agents. Pharmacogenetics and pharmacoproteomics, novel disciplines that investigate the relationship between gene and protein expression in tumor cells and the response to anticancer agents, will be instrumental in developing optimal chemotherapeutic regimens for patients with non-Hodgkin's lymphoma.

Antineoplastic Agents↗
PubMed2002

"Omic" approaches for unraveling signaling networks.

Signaling pathways are crucial for cell differentiation and response to cellular environments. Recently, a large number of approaches for the global analysis of genes and proteins have been described. These have provided important new insights into the components of different pathways and the molecular and cellular responses of these pathways. This review covers genomic and proteomic (collectively referred to as "omic") approaches for the global analysis of cell signaling, including gene expression profiling and analysis, protein-protein interaction methods, protein microarrays, mass spectroscopy and gene-disruption and engineering approaches.

Animals↗
PubMed2003

Comparative proteomics analysis of human lung squamous carcinoma.

Two-dimensional polyacrylamide gel electrophoresis (2-DE) profiles of human lung squamous carcinoma tissue and paired surrounding normal bronchial epithelial tissue were compared. Selected differential protein-spots were identified with peptide mass fingerprinting based on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) and database searching. Well-resolved and reproducible 2-DE patterns of both the tumor and the normal tissues were acquired. The average deviations of spot position were 0.873+/-0.125mm in IEF direction and 1.025+/-0.213mm in SDS-PAGE direction, respectively. For the tumor tissues, a total of 1349+/-67 spots were detected and 1235+/-48 spots were matched with an average matching rate of 91.5%. For the corresponding normal tissues, a total of 1297+/-73 spots were detected and 1183+/-56 spots were matched with an average matching rate of 91.2%. A total of 1069+/-45 spots were matched between the tumor and the normal tissues. Forty differential proteins between tumor and normal tissues were characterized. Some proteins were the products of oncogenes and others were involved in the regulation of cell cycle and signal transduction. These data are valuable for mass identification of differentially expressed proteins involved in lung carcinogenesis, establishing human lung cancer proteome database and screening molecular marker to further study human lung squamous carcinoma.

Carcinoma, Squamous Cell↗
PubMed2001

Limited acid hydrolysis as a means of fragmenting proteins isolated upon ProteinChip array surfaces.

ProteinChip array technology enables protein purification, protein profiling, and biomarker discovery on a convenient biochip platform. Traditional proteomic approaches towards protein identification rely upon the generation of peptides through the use of specific proteases. However, for a variety of reasons, the digestion of proteins bound to planar arrays by specific proteases, such as trypsin, has proven to be difficult, at times providing little or no protein digestion at all. Additionally, should more than one protein be present on the array surface, the digestion product consists of peptides from different proteins, adding another dimension of complexity to database mining approaches. These factors have driven our group to explore alternative means of on-chip protein digestion. In this article, we describe an approach to generate peptide maps by limited acid hydrolysis. Depending upon the adsorbed protein, this method requires between 500 femtomole to 5 picomole of protein for on-chip hydrolysis. Besides generating several internal peptide fragments, limited acid hydrolysis also has the advantage of generating peptide ladders from the N- or C-terminus of the protein. From these ladders, partial primary sequence of the protein can be directly derived when analyzed by a simple laser desorption/ionization mass spectrometer. Furthermore, tandem mass spectrometry can be performed on several internal peptide fragments, thus facilitating the identification of several proteins within a mixture. Based upon the preliminary results of this work, we continue to explore the possibility of using limited acid hydrolysis to identify unknown proteins captured on ProteinChip array surfaces.

Acids↗
PubMed2006

Inflammation inhibitors were remarkably up-regulated in plasma of severe acute respiratory syndrome patients at progressive phase.

Severe acute respiratory syndrome (SARS) is a severe infectious disease that has affected many countries and regions since 2002. A novel member of the coronavirus, SARS-CoV, has been identified as the causative agent. However, the pathogenesis of SARS is still elusive. In this study, we used 2-D DIGE and MS to analyze the protein profiles of plasma from SARS patients, in the search for proteomic alterations associated with the disease progression, which could provide some clues to the pathogenesis. To enrich the low-abundance proteins in human plasma, two highly abundant proteins, albumin and IgG, were first removed. By comparing the plasma proteins of SARS patients with those of a normal control group, several proteins with a significant alteration were found. The up-regulated proteins were identified as alpha-1 acid glycoprotein, haptoglobin, alpha-1 anti-chymotrypsin and fetuin. The down-regulated proteins were apolipoprotein A-I, transferrin and transthyretin. Most of the proteins showed significant changes (up- or down-regulated) in the progressive phase of disease, and there was a trend back to normal level during the convalescent phase. Among these proteins, the alterations of fetuin and anti-chymotrypsin were further confirmed by Western blotting. Since all the up-regulated proteins identified above are well-known inflammation inhibitors, these results strongly suggest that the body starts inflammation inhibition to sustain the inflammatory response balance in the progression of SARS.

Adult↗
PubMed2003

Global metabolic regulation analysis for Escherichia coli K12 based on protein expression by 2-dimensional electrophoresis and enzyme activity measurement.

Regulation of the main metabolic pathways of Escherichia coli K12 was investigated based on 2-dimensional electrophoresis (2DE) and the measurement of enzyme activities. The cells were grown aerobically in different carbon sources, such as glucose, acetate, gluconate or glycerol. Microaerobic cultivation was also conducted with glucose as a carbon source. Fifty-two proteins could be identified based on 2DE, and 26 enzyme activities from the main metabolic pathways-including glycolysis, pentose phosphate pathway, TCA cycle, Entner-Doudoroff pathway and fermentative pathway-were assayed. These enzyme activities, together with global and quantitative protein expression, gave us a clear picture of metabolic regulation. The results show that, compared with the control experiment with glucose as a carbon source under aerobic conditions, glycolytic enzymes were slightly up-regulated (<2-fold), TCA cycle enzymes were significantly down-regulated (2- to 10-fold), and fermentative enzymes such as pfl and adhE were highly up-regulated (>10-fold) under microaerobic conditions in glucose medium. When acetate was used as a carbon source, pfkA, pykF, ppc and zwf were down-regulated, while fbp, pckA, ppsA and mez were significantly up-regulated. Glyoxylate enzymes such as aceA and aceB were strongly up-regulated (>10-fold) and TCA-cycle-related enzymes were also up-regulated to some extent. With gluconate as a carbon source, edd, eda, fbp and TCA cycle enzymes were up-regulated. With glycerol as a carbon source, fbp and TCA cycle enzymes were up-regulated, while ackA was significantly down-regulated. Protein abundance obtained by 2DE correlated well with enzyme activity, with a few exceptions (e.g., isocitrate dehydrogenase), during aerobic growth on acetate.

Electrophoresis, Gel, Two-Dimensional↗
PubMed2006

Microbial metabolomics: past, present and future methodologies.

Microbial metabolomics has received much attention in recent years mainly because it supports and complements a wide range of microbial research areas from new drug discovery efforts to metabolic engineering. Broadly, the term metabolomics refers to the comprehensive (qualitative and quantitative) analysis of the complete set of all low molecular weight metabolites present in and around growing cells at a given time during their growth or production cycle. This review focuses on the past, current and future development of various experimental protocols in the rapid developing area of metabolomics in the ongoing quest to reliably quantify microbial metabolites formed under defined physiological conditions. These developments range from rapid sample collection, instant quenching of microbial metabolic activity, extraction of the relevant intracellular metabolites as well as quantification of these metabolites using enzyme based and or modern high tech hyphenated analytical protocols, mainly chromatographic techniques coupled to mass spectrometry (LC-MS(n), GC-MS(n), CE-MS(n)), where n indicates the number of tandem mass spectrometry, and nuclear magnetic resonance spectroscopy (NMR).

Bacteria↗
PubMed2005

Transcriptomics applied to obesity and caloric restriction.

Caloric restriction still remains the most efficient way to promote weight loss. Deciphering the molecular basis of adaptation to energy restriction is critical for the tailoring of new therapeutic strategies. This review focuses on the recent input of gene profiling on adipose tissue in obesity pathogenesis and on the new insights on adaptations occurring during very low caloric diet (VLCD) in humans. Hypocaloric diets improve a wide range of metabolic parameters including lipolytic efficiency, insulin sensitivity, and inflammatory profile. In the subcutaneous white adipose tissue (scWAT) the VLCD induced a decrease in the mRNA levels for the antilipolytic alpha2-adrenergic receptor associated with changes in catecholamine-induced adipocyte lipolytic capacity. The improvement in insulin sensitivity was not associated with a change in subcutaneous adipose tissue adiponectin gene expression or in its plasma level, suggesting that adiponectin is not involved in the regulation of VLCD-induced improvement of insulin sensitivity and that there is a small contribution of subcutaneous adipose tissue to plasma adiponectin levels. Pangenomic microarray studies in human scWAT revealed that a panel of inflammatory markers and acute phase reactants were over expressed in obese compared to lean subjects. Caloric restriction improved the inflammatory profile of obese subjects through a decrease of pro-inflammatory factors and an increase of anti-inflammatory molecules. These genes were mostly expressed in the stroma vascular fraction of the adipose tissue. Specific cell-type isolation and immunohistochemistry demonstrated that monocyte/macrophage lineage cells were responsible for the expression of both mRNA and protein inflammatory markers. The acute phase proteins serum amyloid A was highly expressed in mature adipocytes from obese subjects. Caloric restriction decreased both serum amyloid mRNA and circulating levels. Obesity now clearly appears as chronic low-grade inflammation state. Modulation of the inflammatory pathways may represent new therapeutic targets for the treatment of obesity-related complications.

Adipose Tissue↗
PubMed2006

The search for factors in human feeders that support the derivation and propagation of human embryonic stem cells: preliminary studies using transcriptome profiling by serial analysis of gene expression.

Serial analysis of gene expression (SAGE) was used to obtain the transcriptome profiles of a supportive human fetal skin feeder (Detroit 551) and a nonsupportive human fetal lung feeder (MRC-5) for human embryonic stem cells. A pairwise comparison of the two SAGE profiles showed that fibroblast growth factor-2 (FGF2), a bone morphogenetic protein 4 pathway inhibitor, Gremlin 1, and several extracellular matrix proteins that could potentially aid human embryonic stem cell attachment and growth were highly expressed in Detroit 551 fibroblasts.

Cell Culture Techniques↗
PubMed2005

The influence of different cultivation conditions on the metabolome of Fusarium oxysporum.

The two most widespread pentose sugars found in the biosphere are d-xylose and l-arabinose. They are both potential substrates for ethanol production. The purpose of this study was to better understand the redox constraints imposed to Fusarium oxysporum during utilization of pentoses. In order to increase ethanol yield and decrease by-product formation, nitrate was used as nitrogen source. The use of NADH, the cofactor in denitrification process when using nitrate as a nitrogen source, improved the ethanol yield on xylose to 0.89 mol mol(-1) compared to the ethanol yield achieved using ammonium as nitrogen source 0.44 mol mol(-1). The improved ethanol yield was followed by a 28% decrease in yield of the by-product xylitol. In order to investigate the metabolic pathway of arabinose and the metabolic limitations for the efficient ethanol production from this sugar, the extracellular and intracellular metabolite profiles were determined under aerobic and anaerobic cultivation conditions. The results of this study clearly show difficulties in channelling of glucose-1-P (G1P) to pentose phosphate pathway (PPP) and reduced NADPH regeneration, suggesting that NADPH becomes a limiting factor for arabinose conversion, resulting in excessive acetate production. Variations of the fungus intracellular amino and non-amino acid pool, under different culture conditions, were evaluated using principal component analysis (PCA). PCA projection of the metabolome data collected from F. oxysporum subjected to environmental perturbations succeeded to visualize different physiological states and the conclusions of this study were that the metabolite profile is unique according to: (1) the carbon source and (2) the oxygen supply, and to a lesser extent to the cultivation phase.

Adaptation, Physiological↗
PubMed2006

Precision mapping of the metabolome.

The global study of the structure and dynamics of metabolic networks has been hindered by a lack of techniques that identify metabolites and their biochemical relationship in complex mixtures. The recent application of Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS) to metabolomic analysis suggests a way to tackle the problem. A lower-cost alternative to high-field FTICR-MS, the Orbitrap mass analyzer, promises accelerated activity in this area. Here, we show how the ultra-high mass accuracy and resolution provided by this new generation of mass spectrometers can help to identify metabolites and connect them into metabolic networks. Data from perturbation studies and isotope-tracking experiments can complement this information to create metabolic maps de novo and chart unexplored areas of metabolism.

Algorithms↗
PubMed2005

Breast cancer biomarkers.

Substantial progress has been made over the past three decades in our understanding of the epidemiology, clinical course and basic biology of breast cancer. This chapter considers the existing ancillary tests and emerging molecular markers in breast cancer prognosis assessment and the prediction of response of breast cancer to treatment of the disease.

Biomarkers, Tumor↗