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Results for “quantitative proteomics”

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At least 1,261 records · Page 70Linked to original sources
PubMed2004

Diagnostic potential in bladder cancer of a panel of tumor markers (calreticulin, gamma -synuclein, and catechol-o-methyltransferase) identified by proteomic analysis.

Using proteomic analysis, we previously identified calreticulin (CRT) as a potentially useful urinary marker for bladder cancer. Now, we have also identified gamma -synuclein (SNCG) and a soluble isoform of catechol-o-methyltransferase (s-COMT) as novel candidates for tumor markers in bladder cancer, by means of proteomic analysis. In the process of establishing a superior tumor marker system, we investigated the diagnostic value of a combination assay of these three proteins. Voided urine samples were obtained from 112 bladder cancer and 230 control patients. Urinary CRT, SNCG, and s-COMT were measured as a combined marker by quantitative western blot analysis. Relative concentration of each protein was calculated and the diagnostic value of a concomitant examination of these markers was evaluated by receiver operator characteristic analysis. With the best diagnostic cutoff, the overall sensitivity of the combined markers was 76.8% (95% confidence interval, 69-81%) with a specificity of 77.4% (72-80%), while those of a single use of CRT were 71.4% and 77.8%, respectively. When evaluated in relation to tumor characteristics, such as grade, stage, size, and outcome of urinary cytology, the diagnostic capacity of the combined markers was equal to or better than that of CRT in all categories. Concomitant use of CRT, SNCG, and s-COMT had higher sensitivity for detection of bladder cancer than did single use of CRT. Our study suggests that use of this panel of markers will improve the diagnosis of bladder cancer and may allow the development of a protein microarray assay or multi-channel enzyme-linked immunosorbent assay.

Aged↗
PubMed2005

Expression clustering reveals detailed co-expression patterns of functionally related proteins during B cell differentiation: a proteomic study using a combination of one-dimensional gel electrophoresis, LC-MS/MS, and stable isotope labeling by amino acids in cell culture (SILAC).

B cells play an essential role in the immune response. Upon activation they may differentiate into plasma cells that secrete specific antibodies against potentially pathogenic non-self antigens. To identify the cellular proteins that are important for efficient production of these antibodies we set out to study the B cell differentiation process at the proteome level. We performed an in-depth proteomic study to quantify dynamic relative protein expression patterns of several hundreds of proteins at five consecutive time points after lipopolysaccharide-induced activation of B lymphocytes. The proteome analysis was performed using a combination of stable isotope labeling using [13C6]leucine added to the murine B cell cultures, one-dimensional gel electrophoresis, and LC-MS/MS. In this study we identified 1,001 B cell proteins. We were able to quantify the expression levels of a quarter of all identified proteins (i.e. 234) at each of the five different time points. Nearly all proteins revealed changes in expression patterns. The quantitative dataset was further analyzed using an unbiased clustering method. Based on their expression profiles, we grouped the entire set of 234 quantified proteins into a limited number of 12 distinct clusters. Functionally related proteins showed a strong correlation in their temporal expression profiles. The quality of the quantitative data allowed us to even identify subclusters within functionally related classes of proteins such as in the endoplasmic reticulum proteins that are involved in antibody production.

Amino Acids↗
PubMed2006

Proteome informatics I: bioinformatics tools for processing experimental data.

Bioinformatics tools for proteomics, also called proteome informatics tools, span today a large panel of very diverse applications ranging from simple tools to compare protein amino acid compositions to sophisticated software for large-scale protein structure determination. This review considers the available and ready to use tools that can help end-users to interpret, validate and generate biological information from their experimental data. It concentrates on bioinformatics tools for 2-DE analysis, for LC followed by MS analysis, for protein identification by PMF, by peptide fragment fingerprinting and by de novo sequencing and for data quantitation with MS data. It also discloses initiatives that propose to automate the processes of MS analysis and enhance the quality of the obtained results.

Algorithms↗
PubMed2026

Proteome-wide structural and interaction analysis using cross-linking mass spectrometry and its applications.

Deciphering the mechanisms of protein-protein interactions (PPIs) and protein structural changes within the native cellular environment is crucial for advancing drug discovery. In vivo chemical cross-linking coupled with mass spectrometry (XL-MS) captures weak, transient, and higher-order interactions that are often dysregulated under altered physiological conditions and remain challenging to detect using conventional methods. Applications of in vivo XL-MS range from targeted mapping of PPIs to large-scale identification of interactome networks within the cells. The integration of quantitative approaches further facilitates comparison across different physiological conditions. The recent incorporation of machine learning (ML) tools into XL-MS workflows is transforming the depth and efficiency of this technology. AI-driven algorithms now enable more accurate identification of cross-linked peptides and the mapping of interaction topologies. Furthermore, the synergistic coupling of in vivo XL-MS data with AI-assisted structural modeling platforms such as AlphaFold allows dynamic and high-throughput prediction of protein networks. This review discusses the broader applications of in vivo XL-MS in complex biological samples, ranging from organelles and cells to whole tissues, and highlights how AI integration is expanding structural biology toward a systems-level understanding of proteome architecture.

Mass Spectrometry↗
PubMed2001

Identification of androgen-regulated genes in the prostate cancer cell line LNCaP by serial analysis of gene expression and proteomic analysis.

A common therapy for nonorgan-confined prostate cancer involves androgen deprivation. To develop a better understanding of the effect of androgen on prostatic cells, we have analyzed gene expression changes induced by dihydrotestosterone (DHT) in the androgen responsive prostate cancer line LNCaP, at both RNA and protein levels. Changes at the RNA level induced by DHT were determined by means of serial analysis of gene expression (SAGE), and protein profiling was done by means of quantitative two-dimensional polyacrylamide gel electrophoresis. Among 123,371 transcripts analyzed, a total of 28,844 distinct SAGE tags were identified representing 16,570 genes. Some 351 genes were significantly affected by DHT treatment at the RNA level (p < 0.05), of which 147 were induced and 204 repressed by androgen. In two independent experiments, the integrated intensity of 32 protein spots increased and 12 decreased at least two-fold in response to androgen, out of a total of 1031 protein spots analyzed. The change in intensity for most of the affected proteins identified could not be predicted based on the level of their corresponding RNA. Our study provides a global assessment of genes regulated by DHT and suggests a need for profiling at both RNA and protein levels for a comprehensive evaluation of patterns of gene expression.

Androgens↗
PubMed2007

Identification of phosphorylated proteins.

Reversible protein phosphorylation is crucially involved in all aspects of plant cell physiology. The highly challenging task of revealing and characterizing the dynamic protein phosphorylation networks in plants has only recently begun to become feasible, owing to application of dedicated proteomics and mass spectrometry techniques. The experimental methodology that identified most of the presently known proteins phosphorylated in vivo is based on protein cleavage with trypsin, following chromatographic enrichment of phosphorylated peptides and mass spectrometric fragmentation and sequencing of these phosphopeptides. This procedure is most efficient when it is limited to the tryptic digestion of proteins in distinct isolated fractions or compartments of plant cells. Immobilized metal affinity chromatography (IMAC) is most useful for phosphopeptide enrichment after methylation of the peptides in the complex protein digests. The following tandem mass spectrometry of the isolated phosphopeptides results in both identification of phosphorylated proteins and mapping of the in vivo phosphorylation sites. The relative quantitation of the extent of phosphorylation at individual protein modification sites may be accomplished by either stable isotope labeling technique or dedicated liquid chromatography-mass spectrometry measurements.

Cell Fractionation↗
PubMed2006

[Clinical proteomics in laboratory medicine].

During the past few years, the emphasis on genomics has shifted via transcriptomics to proteomics, the science of understanding how the whole set of proteins are expressed and function at the cellular level. Recent progress in clinical proteomics is mostly thanks to sophisticated new methodologies for proteome analyses. In search for novel biomarkers for cancers and other disorders, we have taken advantage of the surface-enhanced laser/desorption ionization time-of-flight mass spectrometry (SELDI-TOF MS) and the MALDI-TOF/TOF. Since personal and verbal reporting of alcohol use is not necessarily accurate, objective markers to assess alcohol consumption are required. We used the ProteinChip SELDI technology to generate comparative protein profiles of the consecutive serum samples obtained during abstinence and found that a 5.9kD peptide detected and identified by this technology could be a novel marker of heavy alcohol consumption. Recent advances in two-dimensional electrophoresis (2-DE) such as fluorescent 2-D differential gel electrophoresis (2-D DIGE) has made it possible to detect and quantitate the critical changes involved in disease pathogenesis. We could identify novel proteins with altered expression in primary esophageal cancer using the powerful method of agarose 2-DE and agarose 2-D DIGE. A number of proteins with altered expression between cancer and adjacent non-cancer tissues were identified. Among them, a 195-kDa protein, periplakin, was significantly downregulated in esophageal cancer, which was confirmed by immunoblotting and immunohistochemistry. Clinical proteomics consists of the discovery proteomics and the measurement proteomics. Although we still stand at the discovery proteomics, undoubtedly, the clinical proteomics will be a major contributor in laboratory medicine in the near future.

Clinical Laboratory Techniques↗
PubMed2003

Kinetworks protein kinase multiblot analysis.

The proteomics analysis of protein kinases and other cell-signaling proteins in tumor samples by traditional two-dimensional (2-D) gel electrophoresis is complicated by the low abundance of these regulatory proteins relative to metabolic enzymes and structural proteins. We present an antibody-based method called Kinetworks that relies on sodium dodecyl sulfate (SDS)-poly-acrylamide minigel electrophoresis and multilane immunoblotters to permit the specific and quantitative detection of 45 or more protein kinases or other signal transduction proteins at once. The technique can also permit the resolution of these proteins based on differences in their phosphorylation state and other forms of covalent modification. Kinetworks profiling of protein kinases in solid human tumors and cell lines can reveal profound differences in their expression and phosphorylation states, which can serve for the identification of cancer diagnostic markers and therapeutic targets for drug discovery.

Biomarkers, Tumor↗
PubMed2001

Automated LC-LC-MS-MS platform using binary ion-exchange and gradient reversed-phase chromatography for improved proteomic analyses.

A simple multidimensional liquid chromatography system utilizing an isocratic pump and a HPLC system is described for the comprehensive proteomic analysis of complex peptide digest mixtures by coupled LC-LC-MS-MS techniques. A binary ion-exchange separation was achieved through the use of a strong cation-exchange column followed by a reversed-phase column for data-dependent LC-MS-MS analysis of the unbound analytes, and following salt elution (and concomitant column reequilibration), the bound analytes. Off-line validation of the platform showed near quantitative recovery of fractionated peptides and essentially complete ion-exchange partitioning. In comparative analyses of a highly complex peptide digest mixture a >40% increase in the number of peptide and protein identifications was achieved using this multidimensional platform compared to an unfractionated control.

Amino Acid Sequence↗
PubMed2002

Proteomic analysis and molecular characterization of tissue ferritin light chain in hepatocellular carcinoma.

To investigate a molecular basis for iron depletion in human hepatocellular carcinoma (HCC), 19 cases of HCC were analyzed by two-dimensional electrophoresis (2DE) and matrix-assisted laser desorption ionization mass spectrometry (MALDI-MS). Results were compared with those of paired adjacent nontumorous liver tissues. Comparative analysis of the respective spot patterns in 2DE showed that tissue ferritin light chain (T-FLC), an iron-storage protein, was either severely suppressed or reduced to undetectable levels in HCC, which was further supported by Western blot and immunohistochemical analysis. In contrast, transferrin receptor (TfR) was shown to be overexpressed in the same HCC samples. Interestingly, the relative levels of messenger RNA (mRNA) expression of T-FLC in HCC, which were measured by a real-time quantitative reverse-transcription polymerase chain reaction (PCR), exhibited almost the same levels as those in normal tissues, suggesting that the translational or posttranslational modification of T-FLC may be the cause of T-FLC suppression in HCC. Furthermore, with PCR-based loss of heterozygosity analysis, only 1 of 19 HCCs showed chromosomal deletions at 19q13.3-q13.4 where T-FLC is located, indicating that the suppression of T-FLC is unlikely due to structural genomic changes with HCC. In conclusion, both proteomic and genomic evidence support not only a basis for the suppression of T-FLC in HCC but also provide a new clue to the unresolved question of iron depletion during hepatocarcinogenesis.

Biomarkers, Tumor↗
PubMedDate not supplied

Proteomic evidence for roles for nucleolin and poly[ADP-ribosyl] transferase in drug resistance.

One-hundred twenty-four proteins have been identified in the soluble nuclear protein mixture from MCF-7 human breast cancer cells, of which more than 90% are classically categorized as nuclear proteins. Proteins were also studied from three drug resistant MDF-7 lines, selected previously from the same parent line by exposure to etoposide, to mitoxantrone, or to adriamycin in the presence of verapamil. Both quantitative gel comparisons and stable isotope labeling were used to identify a total of fourteen proteins whose abundances are altered by more than 2-fold in the three resistant lines. Several cytoskeleton proteins, cytokeratin 8, cytokeratin 19, septin 2, and alpha tropomyosin, are decreased in common across the three resistant cell lines. PARP-l (poly[ADP-ribosyl]transefrase or connexion) is found to be less abundant in all three resistant lines. Nucleolin is more abundant in lines resistant to etoposide and mitoxantrone, while the mitotic checkpoint protein BUB 3 is more abundant in the line resistant to adriamycin/verapamil.

Antibiotics, Antineoplastic↗
PubMed2005

A multidimensional differential proteomic platform using dual-phase ion-exchange chromatography-polyacrylamide gel electrophoresis/reversed-phase liquid chromatography tandem mass spectrometry.

Differential proteomic analysis has arisen as a large-scale means to discern proteome-wide changes upon treatment, injury, or disease. Tandem protein separation methods are required for large-scale differential proteomic analysis. Here, a novel multidimensional platform for resolving and differentially analyzing complex biological samples is presented. The platform, collectively termed CAX-PAGE/RPLC-MSMS, combines biphasic ion-exchange chromatography with polyacrylamide gel electrophoresis for protein separation, quantification, and differential band targeting, followed by capillary reversed-phase liquid chromatography and data-dependent tandem mass spectrometry for quantitative and qualitative peptide analysis. CAX-PAGE provides high protein resolving power with a theoretical peak capacity of 3570, extendable to 7600, a wide protein mass range verified from 16 to 273 kDa, and reproducible differential sample comparison without the added expense of fluorescent dyes and imaging equipment. Demonstrated using a neuroproteomic model, CAX-PAGE revealed an increased number of differential proteins, 137, compared with 82 found by 2D difference gel electrophoresis. When combined with RPLC-MSMS for protein identification, an additional quantification step is performed for internal validation, confirming a 2-fold or greater change in 89% of identified differential targets.

Animals↗
PubMed2003

Scansite 2.0: Proteome-wide prediction of cell signaling interactions using short sequence motifs.

Scansite identifies short protein sequence motifs that are recognized by modular signaling domains, phosphorylated by protein Ser/Thr- or Tyr-kinases or mediate specific interactions with protein or phospholipid ligands. Each sequence motif is represented as a position-specific scoring matrix (PSSM) based on results from oriented peptide library and phage display experiments. Predicted domain-motif interactions from Scansite can be sequentially combined, allowing segments of biological pathways to be constructed in silico. The current release of Scansite, version 2.0, includes 62 motifs characterizing the binding and/or substrate specificities of many families of Ser/Thr- or Tyr-kinases, SH2, SH3, PDZ, 14-3-3 and PTB domains, together with signature motifs for PtdIns(3,4,5)P(3)-specific PH domains. Scansite 2.0 contains significant improvements to its original interface, including a number of new generalized user features and significantly enhanced performance. Searches of all SWISS-PROT, TrEMBL, Genpept and Ensembl protein database entries are now possible with run times reduced by approximately 60% when compared with Scansite version 1.0. Scansite 2.0 allows restricted searching of species-specific proteins, as well as isoelectric point and molecular weight sorting to facilitate comparison of predictions with results from two-dimensional gel electrophoresis experiments. Support for user-defined motifs has been increased, allowing easier input of user-defined matrices and permitting user-defined motifs to be combined with pre-compiled Scansite motifs for dual motif searching. In addition, a new series of Sequence Match programs for non-quantitative user-defined motifs has been implemented. Scansite is available via the World Wide Web at http://scansite.mit.edu.

Algorithms↗
PubMed2001

Heart failure and apoptosis: electrophoretic methods support data from micro- and macro-arrays. A critical review of genomics and proteomics.

The multiple causes and multiple consequences of mammalian heart failure make it an attractive proposition for analysis using gene array technology, especially where the failure is idiopathic in nature. However, gene arrays also hold potential artefacts, particularly when gene expression levels are low, and where changes in expression levels are modest. Also, at present, the number of genes available on arrays is not large enough to prevent potential sampling deficiencies. Thus, it may not be wise to place too much reliance on quantitative interpretations of gene array data. Also, recently doubts were raised about the qualitative reliability of array genes. Electrophoretic methods are slow, cumbersome and complex but they can provide confirmation that the trends and numbers arising from the new gene arrays are reliable. In this overview, we compare gene array data with data from protein activity assays such as zymograms, Western blots, two-dimensional electrophoresis, and immunohistochemistry. Similar or complementary data from the same heart tissues analyzed by either microarrays or macroarrays can be reassuring to those interested in reliable molecular analyses of normal and failing hearts. Similar principles will apply to other tissues and cells.

Animals↗
PubMed2005

The transcribed genome and the heritable basis of essential hypertension.

Gene expression can be now assessed quantitatively and comprehensively. In addition to reflecting the specialized differentiation of the cell or tissue type from which gene expression is sampled, it also manifests patterns determined by inheritance. Thus gene expression is a phenotypic trait, at least when assessed comprehensively. This trait shows familial aggregation and segregation patterns indicative of an inherited contribution. The molecular evolution of genes includes mutations affecting regulatory sequences in the genome that influence gene expression in cis and in trans. Such mutations may increase in frequency in a population either by genetic drift or by selection. Traits of gene expression, acting alone or in concert with other gene expression traits, may generate phenotypes that extend beyond transcript abundance. Indeed, the divergence of species and the traits that distinguish related species appear to rely importantly on inherited divergence in the control of gene expression. Variation in gene expression may contribute to the pathogenesis of a prevalent human disease trait that shows heritability--essential hypertension. Along with other common heritable diseases, hypertension susceptibility arises from the actions of multiple genome sequence variations. The identity of such variation has proven elusive when sought by methods that have been successfully applied to Mendelian diseases. This review explores the potential to uncover hypertension genes by exploiting quantitative variation in the heritable control of gene expression.

Animals↗
PubMed2006

A perspective on the use of iTRAQ reagent technology for protein complex and profiling studies.

Proteomic research includes the characterization of protein mixtures in order to understand complex biological systems and determine relationships between proteins, their function, and protein-protein interactions. Often the goal of such research is to monitor changes of proteins in perturbed systems, a type of study referred to as differential expression analysis. To perform these studies requires the ability to execute some type of differential comparison of a given protein state in reference to some type of a control. The iTRAQ reagents are a set of isobaric reagents which are amine specific and allow for the identification and quantitation of up to four different samples simultaneously. The amine specificity of these reagents makes most peptides in a sample amenable to this labeling strategy with no loss of information from samples involving post-translational modifications, such as the scrutiny of signal transduction pathways that often involve phosphorylation phenomena. In addition, the multiplexing capacity of these reagents allows for information replication within certain LC-MS/MS experimental regimes, providing additional statistical validation within any given experiment. The results presented herein demonstrate a few examples of the wide variety of quantitative information that can be realized when undertaking such experimental approaches. These include temporal analysis of drug-induced-protein expression, discovery and elucidation of disease markers, and protein-protein interactions in multi-protein complexes.

Animals↗
PubMed2002

Multiplexed protein profiling on microarrays by rolling-circle amplification.

Fluorescent-sandwich immunoassays on microarrays hold appeal for proteomics studies, because equipment and antibodies are readily available, and assays are simple, scalable, and reproducible. The achievement of adequate sensitivity and specificity, however, requires a general method of immunoassay amplification. We describe coupling of isothermal rolling-circle amplification (RCA) to universal antibodies for this purpose. A total of 75 cytokines were measured simultaneously on glass arrays with signal amplification by RCA with high specificity, femtomolar sensitivity, 3 log quantitative range, and economy of sample consumption. A 51-feature RCA cytokine glass array was used to measure secretion from human dendritic cells (DCs) induced by lipopolysaccharide (LPS) or tumor necrosis factor-alpha (TNF-alpha). As expected, LPS induced rapid secretion of inflammatory cytokines such as macrophage inflammatory protein (MIP)-1beta, interleukin (IL)-8, and interferon-inducible protein (IP)-10. We found that eotaxin-2 and I-309 were induced by LPS; in addition, macrophage-derived chemokine (MDC), thymus and activation-regulated chemokine (TARC), soluble interleukin 6 receptor (sIL-6R), and soluble tumor necrosis factor receptor I (sTNF-RI) were induced by TNF-alpha treatment. Because microarrays can accommodate approximately 1,000 sandwich immunoassays of this type, a relatively small number of RCA microarrays seem to offer a tractable approach for proteomic surveys.

Antibodies↗
PubMed2026

Schizophrenia Spectrum Biomarkers Consortium: Establishment of a Biorepository for the Discovery of Quantitative Fluid Biomarkers.

BACKGROUND AND HYPOTHESIS: Schizophrenia spectrum disorders (SSDs) produce severe symptoms, disability, and premature mortality, but only partially effective symptomatic treatments exist. Treatment development is impeded by lack of insight into disease mechanisms or objective biomarkers for clinical trials. Advances in genetics and neurobiology have converged on strong pathogenic hypotheses for SSDs centered on synapse dysfunction and excessive pruning, pathogenic processes that may produce measurable proteomic evidence in cerebrospinal fluid (CSF). Leveraging design precedents from successful fluid biomarkers discovery for Alzheimer's disease, we undertook a pilot study to test the feasibility of repeated CSF and blood samples collection from individuals with SSDs. Here we report on successful implementation of longitudinal bio-behavioral phenotyping in SSDs and establishment of a repository to permit broad sample and data sharing. STUDY DESIGN: The Schizophrenia Spectrum Biomarkers Consortium (SSBC) study principles included longitudinal study design, paired CSF and plasma collection associated with robust phenotypic characterization, at 3 academic sites and the establishment of a biorepository. Participants underwent clinical and cognitive assessments, neuroimaging, blood draws, and CSF collection via lumbar puncture (LP) every 6&#xa0;months. STUDY RESULTS: SSBC successfully enrolled 48 SSD and 41 Healthy Controls with a 73% longitudinal retention. Clinical, cognitive, and neuroimaging results were consistent across sites and with existing studies. Study procedures were well tolerated, and almost all LPs (99%) resulted in either no or minor headache/backache that resolved without medical interventions. CONCLUSIONS: The pilot SSBC study demonstrates that a multi-site, longitudinal study with repeat CSF collection is feasible, with excellent participant acceptability and retention.

Humans↗