Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “differential proteomics analysis”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 847 records · Page 47Linked to original sources
PubMed2003

Proteomic analysis of oxidative stress-resistant cells: a specific role for aldose reductase overexpression in cytoprotection.

We are using a proteomic approach that combines two-dimensional electrophoresis and tandem mass spectrometry to detect and identify proteins that are differentially expressed in a cell line that is resistant to oxidative stress. The resistant cell line (OC14 cells) was developed previously through chronic exposure of a parent cell line (HA1 cells) to increasing hydrogen peroxide concentrations. Biochemical analyses of this system by other investigators have identified elevated content and activity of several classical antioxidant proteins that have established roles in oxidative stress resistance, but do not provide a complete explanation of this resistance. The proteomics studies described here have identified the enzyme aldose reductase (AR) as 4-fold more abundant in the resistant OC14 cells than in the HA1 controls. Based on this observation, the role of AR in the resistant phenotype was investigated by using a combination of AR induction with ethoxyquin and AR inhibition with Alrestatin to test the cytotoxicity of two oxidation-derived aldehydes: acrolein and glycolaldehyde. The results show that AR induction in HA1 cells provides protection against both acrolein- and glycolaldehyde-induced cytotoxicity. Furthermore, glutathione depletion sensitizes the cells to the acrolein-induced toxicity, but not the glycolaldehyde-induced toxicity, while AR inhibition sensitizes the cells to both acrolein- and glycolaldehyde-induced. These observations are consistent with a significant role for AR in the oxidative stress-resistant phenotype. These studies also illustrate the productive use of proteomic methods to investigate the molecular mechanisms of oxidative stress.

Acrolein↗
PubMed2006

Proteomic approach to substrates related to MAPK pathway in 293T cells.

Abundant evidence indicates that potential scaffold proteins and adaptor or linker molecules organize and specify various MAP kinase cascades. In the present study, proteomic methodologies were applied to screen these potential molecules in combination with cell morphology and cell cycle analysis. MEK1E, MKK3b, MKK5D and MKK7D were selected as representative MKKs of four main MAPK pathways. Our results showed that similar morphological transformation and G(2)/M cell cycle arrest were promoted by the over-expressed four kinases. Furthermore, global change in response to the over-expressed four kinases was characterized by differential proteomics. Eleven distinctly changed proteins were detected, in which four proteins (serine/threonine kinase 4, glutathione S-transferase p1-1, glycoprotein IX and soluble inorganic pyrophosphatase) were reported to be relative to MAPK pathways, while the other seven proteins may be new elements of substrates of the kinases. In our experiment, the expression of platelet glycoprotein IX precursor, glutathione S-transferase p1-1, peroxiredoxin 6, Ras-related protein Rab-34 and arginase II, mitochondrial precursor was up-regulated, while the expression of serine/threonine kinase 4 (MST1) was down-regulated by the four kinases. These results suggest that these six proteins may be common targets of all the MAPK pathways in 293T cell line. Interestingly, the expression of splicing factor 3B subunit 4 and soluble inorganic pyrophosphatase (Ppase) was specifically up-regulated by MEK1E and MKK5D, and by MEK1E, MKK3b and MKK5D, respectively. The expression of methylglyoxalase was down-regulated by MEK1E and MKK7D. Furthermore, the expression of ADP-ribosylation factor-like protein 1 was up-regulated by MKK5D but down-regulated by MKK3b and MKK7D. These findings revealed the characteristic molecular responses to four MKKs. In conclusion, our study not only confirms that MST1, glutathione S-transferase p1-1, glycoprotein IX and soluble PPase belong to MAPK pathways, but also provides seven novel molecules for the further study of the pathways.

Cell Cycle↗
PubMed2004

Protein patterns of pig oocytes during in vitro maturation.

In vitro maturation (IVM) of fully grown mammalian oocytes is characterized by initial germinal vesicle (GV) breakdown and rearrangement of microtubule network during the first meiosis (MI), followed by extrusion of the first polar body and block of the oocytes in metaphase of the second meiosis (MII). Only fully matured oocytes are capable of undergoing fertilization and the initiation of zygotic development. These observations are mostly based on morphological evaluation; however, the molecular events responsible for these processes are not known. In this study, we have launched the analysis of pig oocytes during in vitro maturation using a proteomics approach. First, oocyte proteins have been separated by two-dimensional gel electrophoresis and identified by mass spectrometry. Remarkably, several proteins, including peroxiredoxins, ubiquitin carboxyl-terminal hydrolase isozyme L1, and spermine synthase, are even more abundant than actin, usually the most abundant protein in somatic cells. Furthermore, we have initiated comparative analysis of the oocytes at different stages of maturation to characterize candidate proteins, which are differentially expressed during in vitro maturation. To date, we have identified antiquitin (D7A1), the member of aldehyde dehydrogenase family7 that has been significantly increased in MI and MII stages compared with GV oocytes. To our knowledge, this is the first pig oocyte proteome available so far that may be used as a reference map. The proteins that are differentially regulated during IVM may present potential biomarkers of oocyte maturation and quality. It is a useful inventory toward a deeper understanding of the mechanisms underlying reproduction and development.

Animals↗
PubMed2006

A proteomic analysis of the effect of MAPK pathway activation on L-glutamate-induced neuronal cell death.

Oxidative stress has been implicated in the pathogenesis of neuronal degenerative diseases. It is also widely known that oxidative stress induces mitogen-activated protein kinase (MAPK) signaling cascades. In this study, we used proteomic analysis to investigate the role of the MAPK pathway in oxidative stress-induced neuronal cell death. The results demonstrated that several proteins, including eukaryotic translation elongation factor 2 (eEF2) and enolase I, showed a differential expression pattern during the neuronal cell death process, and this was MAPK pathway dependent. Several chaperone and cytoskeletal proteins including heat shock protein 70, calreticulin, vimentin, prolyl 4-hydroxylase beta polypeptide, and transgelin 2 were up-or down-regulated, despite their expressions not depending on the MAPK pathway. These findings strongly suggest that the expressions of proteins which play protective roles are independent of the MAPK pathway. On the other hand, eEF2 and enolase I may be the downstream targets of the MAPK pathway.

Butadienes↗
PubMed2006

Changes in cod muscle proteins during frozen storage revealed by proteome analysis and multivariate data analysis.

Multivariate data analysis has been combined with proteomics to enhance the recovery of information from 2-DE of cod muscle proteins during different storage conditions. Proteins were extracted according to 11 different storage conditions and samples were resolved by 2-DE. Data generated by 2-DE was subjected to principal component analysis (PCA) and discriminant partial least squares regression (DPLSR). Applying PCA to 2-DE data revealed the samples to form groups according to frozen storage time, whereas differences due to different storage temperatures or chilled storage in modified atmosphere packing did not lead to distinct changes in protein pattern. Applying DPLSR to the 2-DE data enabled the selection of protein spots critical for differentiation between 3 and 6 months frozen storage with 12 months frozen storage. Some of these protein spots have been identified by MS/MS, revealing myosin light chain 1, 2 and 3, triose-phosphate isomerase, glyceraldehyde-3-phosphate dehydrogenase, aldolase A and two alpha-actin fragments, and a nuclease diphosphate kinase B fragment to change in concentration, during frozen storage. Application of proteomics, multivariate data analysis and MS/MS to analyse protein changes in cod muscle proteins during storage has revealed new knowledge on the issue and enables a better understanding of biochemical processes occurring.

Electrophoresis, Gel, Two-Dimensional↗
PubMed2002

Proteomic analysis of rat soleus muscle undergoing hindlimb suspension-induced atrophy and reweighting hypertrophy.

A proteomic analysis was performed comparing normal rat soleus muscle to soleus muscle that had undergone either 0.5, 1, 2, 4, 7, 10 and 14 days of hindlimb suspension-induced atrophy or hindlimb suspension-induced atrophied soleus muscle that had undergone 1 hour, 8 hour, 1 day, 2 day, 4 day and 7 days of reweighting-induced hypertrophy. Muscle mass measurements demonstrated continual loss of soleus mass occurred throughout the 21 days of hindlimb suspension; following reweighting, atrophied soleus muscle mass increased dramatically between 8 hours and 1 day post reweighting. Proteomic analysis of normal and atrophied soleus muscle demonstrated statistically significant changes in the relative levels of 29 soleus proteins. Reweighting following atrophy demonstrated statistically significant changes in the relative levels of 15 soleus proteins. Protein identification using mass spectrometry was attempted for all differentially regulated proteins from both atrophied and hypertrophied soleus muscle. Five differentially regulated proteins from the hindlimb suspended atrophied soleus muscle were identified while five proteins were identified in the reweighting-induced hypertrophied soleus muscles. The identified proteins could be generally grouped together as metabolic proteins, chaperone proteins and contractile apparatus proteins. Together these data demonstrate that coordinated temporally regulated changes in the skeletal muscle proteome occur during disuse-induced soleus muscle atrophy and reweighting hypertrophy.

Amino Acid Sequence↗
PubMed2002

Proteomic patterns of cultured breast cancer cells and epithelial mammary cells.

Breast cancer is one of the leading causes of death from cancer among women in western countries. The different types of breast cancer are grouped into invasive and noninvasive forms. Among the invasive types, ductal infiltrating carcinoma (DIC) is the most common and aggressive form. Using an in vitro model consisting of a DIC-derived cell line (8701-BC) and a nontumoral mammary epithelial cell line (HB2), we used the proteomics approach to search for homology and differences in protein expression patterns between tumoral and nontumoral phenotypes. Within an analysis window comprising 1,750 discernible spots we have currently catalogued 140 protein spots of potential interest. Fifty-eight of them were identified by gel matching with reference maps, immunodetection, or N-terminal microsequencing and classified into four functional groups. Twelve proteins were found differentially expressed in two cell lines: four were uniquely present in the neoplastic cell proteome and eight in epithelial cells. In addition, 53 proteins displayed different relative expression levels between the two cell lines, that is, 44 were more elevated in cancer cells and 9 in HB2 cells. Among proteins with greater relative abundance in cancer cells we identified glycolytic enzymes (or their isoforms), which may indicate that the known metabolic dysregulation in cancer can reflect oncogenic-related defects of glycolytic gene expression.

Breast↗
PubMed2002

Application of genomics and proteomics for study of the integrated response to zinc exposure in a non-model fish species, the rainbow trout.

The advent of DNA array technology and proteomics has revolutionised biology by allowing global analysis of cellular events. So far, the benefits from these new techniques have primarily been realised for well-characterised species. These organisms are rarely the most relevant for environmental biology and ecotoxicology. Thus, there is a need to explore new ways to exploit transcriptomics and proteomics for non-model species. In the present study, rainbow trout (Oncorhynchus mykiss) were exposed to a sublethal concentration of waterborne zinc for up to 6 days. The response in gill tissue was investigated by differential screening of a heterologous cDNA array and by protein profiling using Surface Enhanced Laser Desorption/Ionisation (SELDI). The cDNA array, which was a high-density spotted library of cDNA from Fugu rubripes gill, revealed differentially expressed genes related to energy production, protein synthesis, paracellular integrity, and inflammatory response. SELDI analysis yielded seven proteins that were consistently present only in zinc-exposed gills, and four proteins unique to gills from control fish. A further 11 proteins were differentially regulated. Identification of these proteins by bioinformatics proved difficult in spite of detailed information on molecular mass, charge and zinc-binding affinity. It is concluded that these approaches are viable to non-model species although both have clear limitations.

Animals↗
PubMed2003

Comparative proteome analysis of culture supernatant proteins from virulent Mycobacterium tuberculosis H37Rv and attenuated M. bovis BCG Copenhagen.

A comprehensive analysis of culture supernatant (CSN) proteins of Mycobacterium tuberculosis H37Rv was accomplished by combination of two-dimensional electrophoresis (2-DE), mass spectrometry, and N-terminal sequencing by Edman degradation. Analytical 2-DE gels resolved approximately 1250 protein spots from CSN of M. tuberculosis H37Rv, 381 of which were identified by mass spectrometry and/or Edman degradation. This study revealed 137 different proteins, 42 of which had previously been described as secreted. Comparative proteome analysis of CSN from virulent M. tuberculosis H37Rv and attenuated Mycobacterium bovis BCG Copenhagen identified 39 M. tuberculosis-specific spots containing 27 different proteins, representing candidate antigens for novel vaccines and diagnostics in tuberculosis. These included five proteins encoded by open reading frames absent from M. bovis BCG, e.g., early secretory antigen target (Esat6), as well as 22 novel differential proteins, such as acetyl-CoA C-acetyltransferase (Rv0243) and two putative Esat6-like proteins (Rv1198, Rv1793).

Bacterial Proteins↗
PubMed2005

A novel approach for clustering proteomics data using Bayesian fast Fourier transform.

MOTIVATION: Bioinformatics clustering tools are useful at all levels of proteomic data analysis. Proteomics studies can provide a wealth of information and rapidly generate large quantities of data from the analysis of biological specimens. The high dimensionality of data generated from these studies requires the development of improved bioinformatics tools for efficient and accurate data analyses. For proteome profiling of a particular system or organism, a number of specialized software tools are needed. Indeed, significant advances in the informatics and software tools necessary to support the analysis and management of these massive amounts of data are needed. Clustering algorithms based on probabilistic and Bayesian models provide an alternative to heuristic algorithms. The number of clusters (diseased and non-diseased groups) is reduced to the choice of the number of components of a mixture of underlying probability. The Bayesian approach is a tool for including information from the data to the analysis. It offers an estimation of the uncertainties of the data and the parameters involved. RESULTS: We present novel algorithms that can organize, cluster and derive meaningful patterns of expression from large-scaled proteomics experiments. We processed raw data using a graphical-based algorithm by transforming it from a real space data-expression to a complex space data-expression using discrete Fourier transformation; then we used a thresholding approach to denoise and reduce the length of each spectrum. Bayesian clustering was applied to the reconstructed data. In comparison with several other algorithms used in this study including K-means, (Kohonen self-organizing map (SOM), and linear discriminant analysis, the Bayesian-Fourier model-based approach displayed superior performances consistently, in selecting the correct model and the number of clusters, thus providing a novel approach for accurate diagnosis of the disease. Using this approach, we were able to successfully denoise proteomic spectra and reach up to a 99% total reduction of the number of peaks compared to the original data. In addition, the Bayesian-based approach generated a better classification rate in comparison with other classification algorithms. This new finding will allow us to apply the Fourier transformation for the selection of the protein profile for each sample, and to develop a novel bioinformatic strategy based on Bayesian clustering for biomarker discovery and optimal diagnosis.

Algorithms↗
PubMed2005

Cytomics, the human cytome project and systems biology: top-down resolution of the molecular biocomplexity of organisms by single cell analysis.

A large amount of structural and functional information is obtained by molecular cell phenotype analysis of tissues, organs and organisms at the single cell level by image or flow cytometry in combination with bioinformatic knowledge extraction (cytomics) concerning nuclei acids, proteins and metabolites (cellular genomics, proteomics and metabolomics) as well as cell function parameters like intracellular pH, transmembrane potentials or ion gradients. In addition, differential molecular cell phenotypes between diseased and healthy cells provide molecular data patterns for (i) predictive medicine by cytomics or for (ii) drug discovery purposes using reverse engineering of the data patterns by biomedical cell systems biology. Molecular pathways can be explored in this way including the detection of suitable target molecules, without detailed a priori knowledge of specific disease mechanisms. This is useful during the analysis of complex diseases such as infections, allergies, rheumatoid diseases, diabetes or malignancies. The top-down approach reaching from single cell heterogeneity in cell systems and tissues down to the molecular level seems suitable for a human cytome project to systematically explore the molecular biocomplexity of human organisms. The analysis of already existing data from scientific studies or routine diagnostic procedures will be of immediate value in clinical medicine, for example as personalized therapy by cytomics.

Cell Biology↗
PubMed2003

GARBAN: genomic analysis and rapid biological annotation of cDNA microarray and proteomic data.

SUMMARY: Genomic Analysis and Rapid Biological ANnotation (GARBAN) is a new tool that provides an integrated framework to analyze simultaneously and compare multiple data sets derived from microarray or proteomic experiments. It carries out automated classifications of genes or proteins according to the criteria of the Gene Ontology Consortium at a level of depth defined by the user. Additionally, it performs clustering analysis of all sets based on functional categories or on differential expression levels. GARBAN also provides graphical representations of the biological pathways in which all the genes/proteins participate. AVAILABILITY: http://garban.tecnun.es.

Algorithms↗
PubMed2003

Influence of ageing, heat shock treatment and in vivo total antioxidant status on gene-expression profile and protein synthesis in human peripheral lymphocytes.

Ageing results in a progressive, intrinsic and generalised imbalance of the control of regulatory systems. A key manifestation of this complex biological process includes the attenuation of the universal stress response. Here we provide the first global assessment of the ageing process as it affects the heat shock response, utilising human peripheral lymphocytes and cDNA microarray analysis. The genomic approach employed in our preliminary study was supplemented with a proteomic approach. In addition, the current study correlates the in vivo total antioxidant status with the age-related differential gene expression as well as the translational kinetics of heat shock proteins (hsps). Most of the genes encoding stress response proteins on the 4224 element microarray used in this study were significantly elevated after heat shock treatment of lymphocytes obtained from both young and old individuals albeit to a greater extent in the young. Cell signaling and signal transduction genes as well as some oxidoreductases showed varied response. Results from translational kinetics of induction of major hsps, from 0 to 24 h recovery period were broadly consistent with the differential expression of HSC 70 and HSP 40 genes. Total antioxidant levels in plasma from old individuals were found to be significantly lower by comparison with young, in agreement with the widely acknowledged role of oxidant homeostasis in the ageing process.

Adult↗
PubMed2005

Proteins and protein pattern differences between glioma cell lines and glioblastoma multiforme.

INTRODUCTION: Research into the pathogenesis, molecular signaling, and treatment of glioblastoma multiforme (GBM) has traditionally been conducted using cell lines derived from malignant gliomas. We compared protein expression patterns between solid primary GBMs and GBM cell lines to identify proteins whose expression may be altered in cell culture. METHODS: We cultured cell lines U87, U118, U251, and A172 and used tissue-selective microdissection of eight primary GBMs to obtain pure populations of tumor cells, which we studied using two-dimensional gel electrophoresis (2DGE) and examined using differential expression software. Select protein targets expressed differentially between GBM tumors and GBM cell lines were sequenced using tandem mass spectrometry. RESULTS: Analysis of the primary GBM tumor samples (n = 8) and the GBM cell lines revealed reproducibly similar proteomic patterns for each group, which distinguished tumors from the cell lines. Gels contained up to 500 proteins that were consistently identified in the pH 4 to 7 range. Comparison of proteins identified in the GBM tumors and in the cell lines showed approximately 160 proteins that were gained and 60 proteins that were lost on culture. Using normalized intensity patterns from the 2DGE images, ANOVA tests were done and statistically significant spots were identified. Seven proteins found in the cell lines were significantly increased when compared with the GBM tumors (P < 0.05), whereas 10 proteins were significantly decreased from cell lines compared with the GBM tumors. Proteins identified included transcription factors, tumor suppressor genes, cytoskeletal proteins, and cellular metabolic proteins. CONCLUSION: Global protein and proteomic differences were identified between primary GBM tumor samples and GBM cell lines. The proteins identified by 2DGE analysis elucidate some of the selection pressures of in vitro culture, help accentuate the advantages and limitations of cell culture, and may aid comprehension of gliomagenesis and enhance development of new therapeutics.

Brain Neoplasms↗
PubMed2002

[Proteomics in clinical research: new approach of mass spectrometry].

A proteome has been defined as the protein complement expressed by the genome of an organism, tissue, or differentiated cell. Knowledge of complete genome sequences has led to considerable effort being increasingly devoted to the large-scale study of proteomes, that is, 'proteomics'. Commonly, two proteomes are compared by a substructive analysis in which differences due to drug treatment, culture conditions, genetic variations, or diseases can be observed. Two-dimensional gel electrophoresis and mass spectrometry are commonly used for this purpose. We applied this approach to the analysis of vitreous humor(VH) proteins. Fifty-two different proteins were identified on silver-stained 2D-gel patterns with VH proteins obtained from diabetic retinopathy and macular hole. Thirty-five proteins, which have not reported in plasma, were found in VH. Pigment epithelium-derived factor, which was reported to be a potent inhibitor of angiogenesis in cornea and vitreous was at a higher concentration in VH with diabetes than in that with macular hole. It is impressive that the inhibitor increases in the vitreous with proliferative angiogenesis. Unique applications in proteomics promise a bright future for molecular biology and hopefully for clinical chemistry.

Aqueous Humor↗
PubMed2006

Proteomic analysis of serum marker proteins in recipient mice with liver cirrhosis after bone marrow cell transplantation.

We previously found that transplantation with bone marrow cells (BMCs) improves liver function and liver fibrosis in cirrhotic mice. In the presence of liver damage induced by carbon tetrachloride (CCl4), transplanted BMC migrated into the peri-portal region and trans-differentiated into hepatocytes that produce albumin. Thus under these conditions, BMC transplantation induces liver regeneration. Detecting serum marker proteins is important to monitor the recovery of liver function of cirrhotic mice after BMC transplantation. We therefore initially resolved proteins extracted from serum samples at 48 h after BMC transplantation by 2-DE and compared spot intensity between control and BMC groups of mice. Six protein spots increased in the BMC group compared with the control group. MS revealed that these spots comprised apolipoprotein A1 (apoA1), apolipoprotein C3 (apoC3), vitamin D-binding protein, alpha-1-antitrypsin and proteasome subunit alpha type 1. We subsequently confirmed the levels of apoA1 in serum and liver samples by immunoblotting. ApoA1 increased at early stage (48 h and 1 wk) after BMC transplantation in this mouse model of liver cirrhosis. The early elevation of apoA1 might be useful to predict liver regeneration in cirrhotic mice after BMC transplantation.

Animals↗
PubMed2005

Paracoccidioides brasiliensis presents two different cDNAs encoding homologues of the fructose 1,6-biphosphate aldolase: protein isolation, cloning of the cDNAs and genes, structural, phylogenetic, and expression analysis.

A proteomic approach was used to identify a 39 kDa antigen of Paracoccidioides brasiliensis. Amino acid sequences of the N-terminal and of endoproteinase Lys-C digested peptides revealed the protein to be a fructose 1,6-biphosphate aldolase (FBA) Class II of P. brasiliensis. Two cDNA homologues, Pbfba1 and Pbfba2, were cloned and characterized. Pbfba1 encoded a predicted polypeptide of 360 amino acids that was highly homologous in the primary structure to the same enzyme from fungi and bacteria. The other DNA, Pbfba2, encoded a polypeptide predicted to be 363 amino acids. The sequence of Pbfba2 differed significantly from Pbfba1. Phylogenetic and molecular analysis supports the concept of gene duplication for FBAs in P. brasiliensis, constituting a two-member family. Expression analysis demonstrated differential expression for both fbas genes in P. brasiliensis cells.

Amino Acid Sequence↗
PubMed2025

Improved Detection of Differentially Abundant Proteins through FDR-Control of Peptide-Identity-Propagation.

The goal of proteomics is to identify and quantify peptides and proteins within a biological sample. Almost all algorithms for the identification of peptides in LC-MS/MS data employ two steps: peptide/spectrum matching and peptide-identity-propagation (PIP), also known as match-between-runs. PIP can routinely account for up to 40% of all results, with that proportion rising as high as 75% in single-cell proteomics. Unlike peptide identities derived through peptide/spectrum matches, for which error estimation has been strictly enforced for decades, peptide identities derived through PIP have not historically been subject to statistical evaluation. As an indispensable component of label-free quantification, PIP needs a statistically rigorous method for estimating its false-discovery rate (FDR). We present a method for FDR control of PIP, called PIP-ECHO, and devise a rigorous protocol for evaluating FDR control of any PIP method. Using three different benchmark data sets, we evaluate PIP-ECHO alongside the PIP procedures implemented by FlashLFQ, IonQuant, and MaxQuant. These analyses show that only PIP-ECHO can accurately control the FDR of PIP at 1% across all data sets. When analyzing a spike-in data set, PIP-ECHO increases both the accuracy and sensitivity of differential expression analysis, yielding substantially more differentially abundant proteins than either MaxQuant or IonQuant.

Proteomics↗