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At least 1,315 records · Page 73Linked to original sources
PubMed2003

Proteome of Caulobacter crescentus cell cycle publicly accessible on SWICZ server.

Here we present the Swiss-Czech Proteomics Server (SWICZ), which hosts the proteomic database summarizing information about the cell cycle of the aquatic bacterium Caulobacter crescentus. The database provides a searchable tool for easy access of global protein synthesis and protein stability data as examined during the C. crescentus cell cycle. Protein synthesis data collected from five different cell cycle stages were determined for each protein spot as a relative value of the total amount of [(35)S]methionine incorporation. Protein stability of pulse-labeled extracts were measured during a chase period equivalent to one cell cycle unit. Quantitative information for individual proteins together with descriptive data such as protein identities, apparent molecular masses and isoelectric points, were combined with information on protein function, genomic context, and the cell cycle stage, and were then assembled in a relational database with a world wide web interface (http://proteom.biomed.cas.cz), which allows the database records to be searched and displays the recovered information. A total of 1250 protein spots were reproducibly detected on two-dimensional gel electropherograms, 295 of which were identified by mass spectroscopy. The database is accessible either through clickable two-dimensional gel electrophoretic maps or by means of a set of dedicated search engines. Basic characterization of the experimental procedures, data processing, and a comprehensive description of the web site are presented. In its current state, the SWICZ proteome database provides a platform for the incorporation of new data emerging from extended functional studies on the C. crescentus proteome.

Bacterial Proteins↗
PubMed2002

Modeling the heart--from genes to cells to the whole organ.

Successful physiological analysis requires an understanding of the functional interactions between the key components of cells, organs, and systems, as well as how these interactions change in disease states. This information resides neither in the genome nor even in the individual proteins that genes code for. It lies at the level of protein interactions within the context of subcellular, cellular, tissue, organ, and system structures. There is therefore no alternative to copying nature and computing these interactions to determine the logic of healthy and diseased states. The rapid growth in biological databases; models of cells, tissues, and organs; and the development of powerful computing hardware and algorithms have made it possible to explore functionality in a quantitative manner all the way from the level of genes to the physiological function of whole organs and regulatory systems. This review illustrates this development in the case of the heart. Systems physiology of the 21st century is set to become highly quantitative and, therefore, one of the most computer-intensive disciplines.

Animals↗
PubMed2005

Transcript and proteome analysis reveals reduced expression of calgranulins in head and neck squamous cell carcinoma.

The calcium-binding proteins of the S100 and the annexin protein families have been implicated in a variety of important physiological functions including membrane remodeling, calcium-related intracellular signaling, cytoskeleton dynamics, tissue homeostasis, and formation of the cornified envelope in differentiating keratinocytes. Deregulated expression of members of these families has been reported in different types of neoplasia and other diseases, but the results were not consistent. Here we have applied a combination of cDNA microarrays, quantitative reverse transcriptase-PCR (qRT-PCR) and surface enhanced laser desorption ionisation-time of flight mass spectrometry (SELDI-TOF MS) to study differential expression of these genes in head and neck squamous cell carcinoma (HNSCC). The calgranulins A and B and annexins 1 and 2 were found to be down-regulated in HNSCC, compared with normal mucosa, at both the mRNA and protein level. Upon validation of the differential gene expression by tissue microarray immunohistochemistry, we detected novel expression patterns of calgranulins A and B both in normal mucosa as well as in HNSCC. In contrast to squamous cancer of skin and other cancers in which the calgranulins were found to be up-regulated, most HNSCC showed reduced and widely deranged staining patterns including heterogeneous nuclear, cytoplasmic and membranous staining, and even enhanced staining in the tumor stroma. These observations suggest that the normal function of the calgranulins A and B in mucosa might be different from that in skin.

Calgranulin A↗
PubMed2001

Development of an optimized interaction-mating protocol for large-scale yeast two-hybrid analyses.

BACKGROUND: Protein-protein interactions have decisive roles in almost all aspects of the structural and functional organization of cells. But in spite of the increasing amount of complete genome sequence data, the ability to predict protein function from sequences alone is limited. Therefore comprehensive analysis of protein-protein interactions, as derived from the yeast two-hybrid mating system, will yield valuable information for functional biology on a proteomic scale. RESULTS: We have developed an optimized interaction mating protocol for the yeast two-hybrid system, which gives increased mating efficiencies. This significantly reduces the effort and cost of cDNA library screening and allows multiple parallel approaches. Improved preincubation conditions before mating, and optimal cell densities and cell ratios enable almost quantitative mating of the yeast cells carrying the cDNA library. We have proved the applicability of this technology using 20 bait proteins to screen an Arabidopsis thaliana cDNA library, in spite of bait-dependent variations in mating efficiency. CONCLUSIONS: The improved yeast two-hybrid interaction-mating protocol presented here allows the multiple parallel screening of cDNA libraries. It can be carried out without specialized equipment and has the potential to be standardized and automated.

Arabidopsis↗
PubMed2003

Diagnostic markers that distinguish colon and ovarian adenocarcinomas: identification by genomic, proteomic, and tissue array profiling.

Colon and ovarian cancers can be difficult to distinguish in the abdomen, and the distinction is important because it determines which drugs will be used for therapy. To identify molecular markers for that differential diagnosis, we developed a multistep protocol starting with the 60 human cancer cell lines used by the National Cancer Institute to screen for new anticancer agents. The steps included: (a) identification of candidate markers using cDNA microarrays; (b) verification of clone identities by resequencing; (c) corroboration of transcript levels using Affymetrix oligonucleotide chips; (d) quantitation of protein expression by "reverse-phase" protein microarray; and (e) prospective validation of candidate markers on clinical tumor sections in tissue microarrays. The two best candidates identified were villin for colon cancer cells and moesin for ovarian cancer cells. Because moesin stained stromal elements in both types of cancer, it would probably not have been identified as a marker if we had started with mRNA or protein profiling of bulk tumors. Villin appears at least as useful as the currently used colon cancer marker cytokeratin 20, and moesin also appears to have utility. The multistep process introduced here has the potential to produce additional markers for cancer diagnosis, prognosis, and therapy.

Adenocarcinoma↗
PubMed2003

Loss of clusterin both in serum and tissue correlates with the tumorigenesis of esophageal squamous cell carcinoma via proteomics approaches.

AIM: To identify the differentially secreted proteins or polypeptides associated with tumorigenesis of esophageal squamous cell carcinoma (ESCC) from serum and to find potential tumor secreted biomarkers. METHODS: Proteins from human ESCC tissue and its matched adjacent normal tissue; pre-surgery and post-surgery serum; and pre-surgery and normal control serum were separated by two-dimensional electrophoresis (2-DE) to identify differentially expressed proteins. The silver-stained 2-DE were scanned with digital ImageScanner and analyzed with ImageMaster 2D Elite 3.10 software. A cluster of protein spots differentially expressed were selected and identified with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS). One of the differentially expressed proteins, clusterin, was down-regulated in cancer tissue and pre-surgery serum, but it was reversed in post-surgery serum. The results were confirmed by semi-quantitative reverse-transcription (RT)-PCR and western blot. RESULTS: Comparisons of the protein spots identified on the 2-DE maps from human matched sera showed that some proteins were differentially expressed, with most of them showing no differences in composition, shape or density. Being analyzed by MALDI-TOF-MS and database searching, clusterin was differentially expressed and down-regulated in both cancer tissue and pre-surgery serum compared with their counterparts. The results were also validated by RT-PCR and western blot. CONCLUSION: The differentially expressed clusterin may play a key role during tumorigenesis of ESCC. The 2DE-MS based proteomic approach is one of the powerful tools for discovery of secreted markers from peripheral.

Aged↗
PubMed2006

Proteomic analysis of mitochondrial protein turnover: identification of novel substrate proteins of the matrix protease pim1.

ATP-dependent oligomeric proteases are major components of cellular protein quality control systems. To investigate the role of proteolytic processes in the maintenance of mitochondrial functions, we analyzed the dynamic behavior of the mitochondrial proteome of Saccharomyces cerevisiae by two-dimensional (2D) polyacrylamide gel electrophoresis. By a characterization of the influence of temperature on protein turnover in isolated mitochondria, we were able to define four groups of proteins showing a differential susceptibility to proteolysis. The protein Pim1/LON has been shown to be the main protease in the mitochondrial matrix responsible for the removal of damaged or nonnative proteins. To assess the substrate range of Pim1 under in vivo conditions, we performed a quantitative comparison of the 2D protein spot patterns between wild-type and pim1Delta mitochondria. We were able to identify a novel subset of mitochondrial proteins that are putative endogenous substrates of Pim1. Using an in organello degradation assay, we confirmed the Pim1-specific, ATP-dependent proteolysis of the newly identified substrate proteins. We could demonstrate that the functional integrity of the Pim1 substrate proteins, in particular, the presence of intact prosthetic groups, had a major influence on the susceptibility to proteolysis.

ATP-Dependent Proteases↗
PubMed2004

Quantitative genomics: exploring the genetic architecture of complex trait predisposition.

Most phenotypes with agricultural or biomedical relevance are multifactorial traits controlled by complex contributions of genetics and environment. Genetic predisposition results from combinations of relatively small effects due to variations within a large number of genes, known as QTL. Well over 200 QTL have been reported for growth and body composition traits in the mouse, which likely represent at least 50 to 100 distinct genes. Molecular biology has yielded significant advances in understanding these traits at the metabolic and physiological levels; however, little has been learned regarding the identity and nature of the underlying polygenes. In addition to the significantly poor precision inherent to QTL localization, it is very difficult to differentiate between co-localization and coincidence when comparing QTL with other QTL and with potential candidate genes. The wide gap between our knowledge of physiological mechanisms underlying complex traits and the nature of genetic predisposition significantly impairs discovery of genes underlying QTL. Identification and genetic mapping of key transcriptional, proteomic, metabolomic, and endocrine events will uncover large lists of significant positional candidate genes for growth and body composition. However, integration of experimental approaches to jointly evaluate predisposition and physiology will increase success of QTL identification by merging the power of recombination with functional analysis. Measuring physiologically relevant subphenotypes within a structured QTL mapping population will not only facilitate pathway-specific prioritization among candidate genes, but may also directly identify genes underlying QTL. This would advance our understanding of the genetic architecture of complex traits by testing the central hypothesis that genes controlling predisposition to a quantitative trait are primarily involved in trans-regulation of the primary physiological pathways that regulate the trait.

Animals↗
PubMed2006

Comparison of different separation technologies for proteome analyses: isoform resolution as a prerequisite for the definition of protein biomarkers on the level of posttranslational modifications.

In this article we evaluate methods used to reveal the molecular complexity, which is generated in biological samples by posttranslational modifications (PTM) of proteins. We show how distinct molecular differences on the level of phosphorylation sites in a single protein (ovalbumin) can be resolved with different success using 1D and 2D gel-electrophoresis and reversed-phase liquid chromatography (LC) with monolithic polystyrol-divinylbenzol (PS-DVB) columns for protein separation, and matrix-assisted laser desorption ionisation-time of flight mass spectrometry (MALDI-TOF MS) for protein identification. Phosphorylation site analysis was performed using enzymatic dephosphorylation in combination with differential peptide mass mapping. Liquid chromatography-MALDI-TOF MS coupling with subsequent on-target tryptic protein digestion turned out to be the fastest method tested but yielded low resolution for the analysis of PTM, whereas 2D gel-electrophoresis, due to its unique capability of resolving highly complex isoform pattern, turned out to be the most suitable method for this purpose. The evaluated methods complement one another and in connection with efficient technologies for differential and quantitative analysis, these approaches have the potential to reveal novel molecular details of protein biomarkers.

Amino Acid Sequence↗
PubMed2006

Layered expression scanning: multiplex molecular analysis of diverse life science platforms.

With the advent of the genomic era, there is an increasing use of high-throughput techniques to generate transcriptome- and proteome-based profiles of biological specimens. Each of these methodologies offers a unique window into the inner workings of cell and tissue samples. Often, these studies generate large data sets and provide investigators with a substantial number of candidate dysregulated genes and pathways. Follow-up studies are then undertaken to independently validate the original findings and to extend the study to additional samples or more quantitative measurements. Although there are several methods available for these validation efforts, they are often tedious and laborious to perform; thus, additional tools that enable this task are needed. One such approach is layered expression scanning (LES), a new technique developed via a cooperative research and development agreement (CRADA) between the National Cancer Institute and 20/20 GeneSystems, Inc. The technique is based on the movement of biomolecules from a two-dimensional life science platform (histological tissue section, electrophoresis gel, multi-well plate, etc.) through a set of analysis membranes while maintaining the original distribution pattern of the molecules. Each membrane measures one analyte and the data are then mapped back to the original specimen, permitting each component of the life science platform to be studied in detail. LES can be configured in several different ways depending on the goals of the study. In this review, we summarize the use of the LES technique for a variety of biological applications.

Membranes, Artificial↗
PubMed2025

Multi-omic underpinnings of heterogeneous aging across multiple organ systems.

Aging is the main determinant of chronic diseases and mortality, yet organ-specific aging trajectories vary, and the molecular basis underlying this heterogeneity remains unclear. To elucidate this, we integrated genomic, epigenomic, transcriptomic, proteomic, and metabolomic data, employing post-genome-wide association study methodologies to systematically investigate the molecular mechanisms of nine organ-specific aging clocks and four blood-based epigenetic clocks. We uncovered genetic correlations and specific phenotypic clusters among these aging-related traits, identified prioritized genetic drug targets for heterogeneous aging, and elucidated downstream proteomic and metabolomic effects mediated by heterogeneous aging. We constructed a cross-layer molecular interaction network of heterogeneous aging across multiple organ systems and characterized detectable biomarkers of this heterogeneity. Integrating these findings, we developed an R/Shiny-based framework that provides a comprehensive multi-omic molecular landscape of heterogeneous aging, thereby advancing the understanding of aging heterogeneity and informing precision medicine strategies to delay organ-specific aging and prevent or treat its associated chronic diseases.

Aging↗
PubMed2025

CSF proteogenomics implicates novel proteins and humoral immunity in Alzheimer's disease risk.

We profiled 2,961 cerebrospinal fluid (CSF) proteins in 1,005 participants of the Alzheimer's Disease Neuroimaging Initiative (ADNI), including 1,066 proteins not measured in prior studies, using mass spectrometry (MS). We mapped protein quantitative trait loci (pQTLs) in CSF, compared them with brain and plasma pQTLs, and integrated them with Alzheimer's disease (AD) genome-wide association study (GWAS) data. We identified 1,417 index cis pQTLs for 654 unique genes and 130 index trans pQTLs for 94 unique genes. Cross-tissue and cross-proteomic-platform comparisons show broad consistency between MS-based CSF pQTLs and MS-based brain pQTLs as well as affinity-based CSF and plasma pQTLs. Lastly, through integrating CSF pQTLs with the largest AD GWAS, we identified 24 candidate AD causal proteins in CSF, including 10 novel and 14 previously identified in either brain, CSF, or plasma using similar approaches. These CSF AD candidate causal proteins are involved in immune response - notably humoral immunity (3 of 24) - that expands the role of the immune system in AD beyond innate immunity, as well as lysosomal function and neurovascular growth and remodeling. Together, our findings provide novel insights into AD biology and new targets for biomarker and therapeutic development.

Journal Article↗
PubMed2005

Proteomic analysis of differently expressed proteins in a mouse model for allergic asthma.

Allergic asthma is associated with persistent functional and structural changes in the airways and involves many different cell types. Many proteins involved in allergic asthma have been identified individually, but complete protein profiles (proteome) have not yet been reported. Here we have used a differential proteome mapping strategy to identify tissue proteins that are differentially expressed in mice with allergic asthma and in normal mice. Mouse lung tissue proteins were separated using two-dimensional gel electrophoresis over a pH range between 4 and 7, digested, and then analyzed by matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MS). The proteins were identified using automated MS data acquisition. The resulting data were searched against a protein database using an internal Mascot search routine. This approach identified 15 proteins that were differentially expressed in the lungs of mice with allergic asthma and normal mice. All 15 proteins were identified by MS, and 9 could be linked to asthma-related symptoms, oxidation, or tissue remodeling. Our data suggest that these proteins may prove useful as surrogate biomarkers for quantitatively monitoring disease state progression or response to therapy.

Animals↗
PubMed2026

Relaxin-2: Shaping the Proteomic Landscape of Skeletal Muscle Physiology, Glucose Trafficking, and Mitochondrial Function in Rat.

Relaxin-2 is a hormone with robust beneficial effects on the heart and blood vessels and potential as a therapy for cardiovascular (CV) disease. Considering the interorgan communication between skeletal muscle and heart, and the relation between muscle quality/composition and CV events, we hypothesize that relaxin-2 may regulate skeletal muscle physiology and metabolism. We aim to evaluate the impact of relaxin-2 on the proteome of skeletal muscle from healthy Sprague-Dawley rats. Animals were treated with 0.4 mg/kg/day of serelaxin (recombinant form of human relaxin-2) or vehicle (PBS) for 2 weeks employing subcutaneous osmotic minipumps. Skeletal muscle protein identification and quantification were performed by LC-MS/MS using a Data-Independent Acquisition (DIA)-Sequential Window Acquisition of All Theoretical Fragment Ion Spectra (SWATH) method. SWATH/MS quantitative analysis identified that relaxin-2 significantly decreased 95 proteins and significantly increased 32 proteins in rat skeletal muscle when compared to control rats. From these, 34 proteins were associated with muscle function, myogenesis, muscle differentiation and/or regeneration, 20 are mitochondrial proteins (six from the complexes of the electron transport chain), and 10 proteins participate in glucose metabolism. Qualitative data-dependent workflow analysis identified 35 proteins exclusive to the skeletal muscle of the relaxin-2-treated group: eight proteins related to processes of skeletal muscle function (size, ion homeostasis or organization of caveolae structures and cytoskeleton) and myogenesis, and two proteins involved in muscle differentiation. Our work highlighted for the first time the role of relaxin-2 in crucial processes of muscle physiology and energetic metabolism, which could influence several processes involved in myopathy and CV.

Animals↗
PubMed2007

Proteomic analysis of proteins differentially expressed in preeclamptic trophoblasts.

AIMS: To identify differential trophoblastic proteins associated with preeclampsia (PE) by proteomic analysis. METHODS: We isolated and purified placental trophoblasts from normotensive pregnant women and patients with PE by a continuous Percoll gradient. The expression of proteins was determined by sliver staining after two-dimensional polyacrylamide gel electrophoresis (2D-PAGE). Proteins of interest were identified using matrix-assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF-MS). RESULTS: The overall trophoblastic protein expression patterns in preeclamptic and corresponding normotensive placentas were quite similar except for some areas. Of 34 differentially expressed protein spots (p < 0.05 by paired t-test), seven differential proteins from nine spots were identified by MALDI-TOF-MS. The expression of the following proteins was repressed (p < 0.01): disulfide isomerase ER-60, peroxiredoxin 2, and Delta3,5-Delta2,4-dienoyl-CoA isomerase. Four proteins (protein disulfide isomerase precursor, endoplasmic reticulum resident protein, dihydrolipoyl dehydrogenase and TIM21-like protein) were found to be significantly upregulated in PE (p < 0.01). CONCLUSION: We identified several proteins with significant altered expression in PE using 2D-PAGE. This method is a powerful technique with which to search for not only quantitative but also qualitative changes in a biological process of interest.

Adult↗
PubMed2004

Proteomics analysis of differentially expressed metastasis-associated proteins in adenoid cystic carcinoma cell lines of human salivary gland.

Metastasis is the most insidious and life threatening aspect of cancers. However little is known about the molecular mechanisms of tumor metastasis. A poorly metastatic Acc-2 cell line and highly metastatic Acc-M cell line were selected as an experimental model to study on metastatic mechanisms and antimetastatic procedures. In the present study, two-dimensional gel electrophoresis and mass spectrometry are combined to approach the protein profiles associated with tumor metastasis between Acc-2 and Acc-M cell lines. Image analysis of silver stained 2-dimensional gels revealed that 12 protein spots showed significantly quantitative and qualitative variations and mass spectrometry is utilized to further identify these spots. Of the identified proteins, transketolase, Dim1p, v-Ha-ras oncogene, type I collagen pro alpha, tumor necrosis factor (ligand) superfamily member 4, and pirin etc, have shown associations with distinct aspect of tumor metastasis to some extent. The dissimilar expression patterns of these 12 spots indicate the different roles they may play involved in tumor metastasis.

Carcinoma, Adenoid Cystic↗
PubMed2003

A comparison of drug-treated and untreated HCT-116 human colon adenocarcinoma cells using a 2-D liquid separation mapping method based upon chromatofocusing PI fractionation.

A multidimensional chromatographic 2-D liquid-phase separation method has been developed for differential display of proteins from cell lysates and applied to a comparison of protein expression between Peninsularinone-treated and untreated HCT-116 human colon adenocarcinoma cells. The method involves fractionation according to pI using chromatofocusing with analytical columns in the first dimension followed by separation of the proteins in each pI fraction using nonporous reversed-phase HPLC. A 2-D map of the protein content of each cell line based upon pI versus hydrophobicity as detected by UV absorption was generated and a differential display map indicating the presence of up- or downregulated proteins displayed using ProteoVue and DeltaVue software. Using this method, > 1000 protein bands could be detected in 0.2 pH fractions over a pH range of 4-7. In addition, the liquid eluent from the separation was directed on-line into an electrospray TOF-MS to obtain an accurate molecular weight of the intact proteins. An accurate molecular weight together with the peptide map was used to obtain protein identification using database searching. The method has been shown to have high reproducibility for quantitative differential display analysis of interlysate comparisons, generation of accurate protein identifications, and ease of data interpretation. It has been used herein to identify proteins that change as a function of drug treatment. The relative simplicity of the current procedure and the potential for full automation will make this technique an essential tool in future proteomic studies.

Adenocarcinoma↗
PubMed2005

A proteomic study of the HUPO Plasma Proteome Project's pilot samples using an accurate mass and time tag strategy.

Characterization of the human blood plasma proteome is critical to the discovery of routinely useful clinical biomarkers. We used an accurate mass and time (AMT) tag strategy with high-resolution mass accuracy cLC-FT-ICR MS to perform a global proteomic analysis of pilot study samples as part of the HUPO Plasma Proteome Project. HUPO reference serum and citrated plasma samples from African Americans, Asian Americans, and Caucasian Americans were analyzed, in addition to a Pacific Northwest National Laboratory reference serum and plasma. The AMT tag strategy allowed us to leverage two previously published "shotgun" proteomics experiments to perform global analyses on these samples in triplicate in less than 4 days total analysis time. A total of 722 (22% with multiple peptide identifications) International Protein Index redundant proteins, or 377 protein families by ProteinProphet, were identified over the six individual HUPO serum and plasma samples. The samples yielded a similar number of identified redundant proteins in the plasma samples (average 446 +/- 23) as found in the serum samples (average 440 +/- 20). These proteins were identified by an average of 956 +/- 35 unique peptides in plasma and 930 +/- 11 unique peptides in serum. In addition to this high-throughput analysis, the AMT tag approach was used with a Z-score normalization to compare relative protein abundances. This analysis highlighted both known differences in serum and citrated plasma such as fibrinogens, and reproducible differences in peptide abundances from proteins such as soluble activin receptor-like kinase 7b and glycoprotein m6b. The AMT tag strategy not only improved our sample throughput but also provided a basis for estimated quantitation.

Blood Proteins↗