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PubMed2005

List of lists-annotated (LOLA): a database for annotation and comparison of published microarray gene lists.

Microarray profiling of RNA expression is a powerful tool that generates large lists of transcripts that are potentially relevant to a disease or treatment. However, because the lists of changed transcripts are embedded in figures and tables, they are typically inaccessible for search engines. Due to differences in gene nomenclatures, the lists are difficult to compare between studies. LOLA (Lists of Lists Annotated) is an internet-based database for comparing gene lists from microarray studies or other genomic-scale methods. It serves as a common platform to compare and reannotate heterogeneous gene lists from different microarray platforms or different genomic methodologies such as serial analysis of gene expression (SAGE) or proteomics. LOLA () provides researchers with a means to store, annotate, and compare gene lists produced from different studies or different analyses of the same study. It is especially useful in identifying potentially "high interest" genes which are reported as significant across multiple studies and species. Its application to the fields of stem cell, cancer, and aging research is demonstrated by comparing published papers.

Animals↗

PubMed2004

Identification of cytochrome P450 enzymes in human colorectal metastases and the surrounding liver: a proteomic approach.

We describe the direct identification of multiple cytochrome P450 (CYP) enzymes in healthy and cancerous tissue. CYPs in human liver colorectal metastases were compared with those in the surrounding liver using a mass spectrometry-based proteomic approach. Nano-scale reversed phase liquid chromatography combined with electrospray ionisation tandem mass spectrometry has been used to identify CYPs with no pre-selection of the proteins anticipated. Fourteen distinct CYP enzymes from the subfamilies 1A, 2A, 2B, 2C, 2D, 2E, 3A, 4A, 4F, 8B and 27A were positively identified; 13 in the liver samples and 12 in the tumour tissue. It was found that three of the colorectal metastases expressed essentially the same drug-metabolising pattern of CYPs as the surrounding liver, whilst three tumour samples from different individuals showed no CYP expression. This was likely in at least one case to be due to low sample mass. The CYP expression profile in an individual tumour is likely to be an important determinant in predicting the outcome of cancer chemotherapy.

Adult↗

PubMed2006

Proteomic analysis of suction blister fluid isolated from human skin.

The regulation of cutaneous immune responses in health and disease is mediated locally by proteins such as cytokines and chemokines. We used a novel approach involving proteomic profiling of fluid drawn from suction blisters to compare and contrast protein expression in normal skin with that in nonlesional skin from a patient with plaque psoriasis. We also examined the impact of exogenous interleukin-1beta, a proinflammatory cytokine, on protein expression in these tissues. Described here are the results of proteomic profiling of 670 proteins from blister fluid, and the identification by differential expression of nine proteins between one volunteer with psoriasis and one normal volunteer. Although the apparent disease association of these nine proteins will require validation using additional volunteers, the identification of candidate protein biomarkers through proteomic analyses of blister fluid represents a promising approach for monitoring the disease activity and efficacy of therapeutic intervention in human skin diseases.

Biomarkers↗

PubMed2026

Large-scale multi-omics enhance risk prediction for type 2 diabetes.

BACKGROUND: Polygenic risk scores (PRS), metabolomics, and proteomics have each shown promise in improving type 2 diabetes risk prediction, but their combined utility beyond established clinical models remains unclear. We aimed to evaluate whether integrating multi-omics biomarkers enhances 10-year type 2 diabetes risk prediction beyond single-omics extensions and the clinical Cambridge Diabetes Risk Score (CDRS), which includes HbA1c measurements. METHODS: We analysed data from 42,840 UK Biobank participants without diagnosed diabetes at baseline. The study population was split into a derivation set (Phase 1 metabolomics release, N = 23,108) to fit models and an independent validation set (Phase 2 release, N = 19,732) to evaluate performance. Data for a PRS for type 2 diabetes, 11 metabolites, and 15 proteins were added to the CDRS to develop multi-omics prediction models. Model performance was evaluated using Harrell's C-index and the net reclassification index (NRI). RESULTS: During 10 years of follow-up, 1090 participants developed incident type 2 diabetes. Among individual omics layers, proteomics contributed the greatest improvement in predictive performance, increasing the C-index from 0.862 (clinical CDRS) to 0.884 (ΔC-index; + 0.022; P < 0.001), with a continuous NRI of 42.0%. The full multi-omics model further significantly increased the C-index compared to a model combining the clinical CDRS with proteomics data (C-index, 0.891; ΔC-index; + 0.007; P < 0.001). CONCLUSION: Integrating proteomics, metabolomics, and a diabetes-PRS into a clinical model substantially improves type 2 diabetes risk prediction beyond single-omics extensions. Several of the selected proteins and metabolites are on cardiovascular disease pathways, highlighting the link between diabetes and cardiovascular risk. However, the C-index difference between the proteomics extended and full multi-omics extended models is small, and the clinical models extended with proteomics data would be easier to translate into routine care because it needs only the measurement of 15 proteins. External validation and cost-effectiveness analyses are needed to support clinical adoption.

Humans↗

PubMed2006

Analysis of the dynamic Bacillus subtilis Ser/Thr/Tyr phosphoproteome implicated in a wide variety of cellular processes.

The physiological role of proteins phosphorylated on serine/threonine/tyrosine (Ser/Thr/Tyr) residues or the identity of the corresponding kinases and phosphatases is generally poorly understood in bacteria. As a first step in analysing the importance of such phosphorylation, we sought to establish the nature of the Ser/Thr/Tyr phosphoproteome in Bacillus subtilis, using in vivo labelling with [(32)P]-orthophosphate, one-unit pH 2-DE, combined with MS. Highly reproducible 2-D profiles of phosphoproteins were obtained with early stationary-phase cells. The 2-D profiles contained at least 80 clearly labelled spots in the pH range 4-7. Forty-six spots were analysed by MS (confirmed in most cases by LC-MS/MS), identifying a total of 29 different proteins, with 19 identified for the first time as bacterial phosphoproteins. These phosphoproteins are implicated in a wide variety of cellular processes, including carbon and energy metabolism, transport, stress and development. Significant changes to the profiles were obtained as a result of cold, heat or osmotic shock, demonstrating that, in stationary-phase cells, the phosphoproteome is dynamic. An initial comparative study indicated that at least 25 [(32)P]-labelled spots were also stained by Pro-Q Diamond, with apparently six additional phosphoproteins uniquely detected by Pro-Q.

Bacillus subtilis↗

PubMed2003

Expression profiling of breast cancer cells by differential peptide display.

Expression profiling of RNAs or proteins has become a promising means to investigate the heterogeneity of histopathologically defined classes of cancer. Peptides, representing degradation as well as processing products of proteins offer an even closer insight into cell physiology. Peptides are related to the turnover of cellular proteins and are capable to reflect disease-related changes in homoeostasis of the human body. Furthermore, peptides derived from tumor cells are potentially useful markers in the early detection of cancer. In this study, we introduced a method called differential peptide display (DPD) for separating, detecting, and identifying native peptides derived from whole cell extracts. This method is a highly standardized procedure, combining the power of reversed-phase chromatography with mass spectrometry. This technology is suitable to analyze cell lines, various tissue types and human body fluids. Peptide-based profiling of normal human mammary epithelial cells (HMEC) and the breast cancer cell line MCF-7 revealed complex peptide patterns comprising of up to 2300 peptides. Most of these peptides were common to both cell lines whereas about 8% differed in their abundance. Several of the differentially expressed peptides were identified as fragments of known proteins such as intermediate filament proteins, thymosins or Cathepsin D. Comparing cell lines with native tumors, overlapping peptide patterns were found between HMEC and a phylloides tumor (CP) on the one hand and MCF-7 cells and tissue from a invasive ductal carcinoma (DC) on the other hand.

Biomarkers, Tumor↗

PubMed2004

High throughput quantitative analysis of serum proteins using glycopeptide capture and liquid chromatography mass spectrometry.

It is expected that the composition of the serum proteome can provide valuable information about the state of the human body in health and disease and that this information can be extracted via quantitative proteomic measurements. Suitable proteomic techniques need to be sensitive, reproducible, and robust to detect potential biomarkers below the level of highly expressed proteins, generate data sets that are comparable between experiments and laboratories, and have high throughput to support statistical studies. Here we report a method for high throughput quantitative analysis of serum proteins. It consists of the selective isolation of peptides that are N-linked glycosylated in the intact protein, the analysis of these now deglycosylated peptides by liquid chromatography electrospray ionization mass spectrometry, and the comparative analysis of the resulting patterns. By focusing selectively on a few formerly N-linked glycopeptides per serum protein, the complexity of the analyte sample is significantly reduced and the sensitivity and throughput of serum proteome analysis are increased compared with the analysis of total tryptic peptides from unfractionated samples. We provide data that document the performance of the method and show that sera from untreated normal mice and genetically identical mice with carcinogen-induced skin cancer can be unambiguously discriminated using unsupervised clustering of the resulting peptide patterns. We further identify, by tandem mass spectrometry, some of the peptides that were consistently elevated in cancer mice compared with their control littermates.

Animals↗

PubMed2006

Proteomics analysis of protein kinases by target class-selective prefractionation and tandem mass spectrometry.

Protein kinases constitute a large superfamily of enzymes with key regulatory functions in nearly all signal transmission processes of eukaryotic cells. However, due to their relatively low abundance compared with the vast majority of cellular proteins, currently available proteomics techniques do not permit the comprehensive biochemical characterization of protein kinases. To address these limitations, we have developed a prefractionation strategy that uses a combination of immobilized low molecular weight inhibitors for the selective affinity capture of protein kinases. This approach resulted in the direct purification of cell type-specific sets of expressed protein kinases, and more than 140 different members of this enzyme family could be detected by LC-MS/MS. Furthermore the enrichment technique combined with phosphopeptide fractionation led to the identification of more than 200 different phosphorylation sites on protein kinases, which often remain occluded in global phosphoproteome analysis. As the phosphorylation states of protein kinases can provide a readout for the signaling activities within a cellular system, kinase-selective phosphoproteomics based on the procedures described here has the potential to become an important tool in signal transduction analysis.

Cell Line, Tumor↗

PubMed2004

Proteomic analysis of agar gel-entrapped Pseudomonas aeruginosa.

We have compared the protein maps of agar-entrapped Pseudomonas aeruginosa cells to those of free counterparts grown in the presence or absence of the immobilized-cell gel support. Principal component analyses (PCAs) were used to interpret spot quantity variations observed on electropherograms obtained by two-dimensional gel electrophoresis. PCA of the data matrix (923 rows x 6 columns) in which spot density values were standardized horizontally extracted three principal components (PCs) with eigenvalues higher than 1, accounting together for 71.6% of the variability in the data. Principal component 1 (PC1) opposed free (F) and agar-entrapped (AE) cultures, with a low contribution of agar-released, free (ARF) cultures to PC1. Inversely, the contribution of ARF cultures to PC2 was high, opposing those of AE and F cultures. Component 3 was related to the duration of incubation. Only 10% of total proteins were upregulated in AE cells during the first 18 h of incubation, the number of underexpressed peptides balancing that of overexpressed ones. Downregulation clearly became the dominant tendency when the incubation time was extended to 48 h. These results demonstrate that AE and ARF bacteria are physiologically different from F organisms.

Agar↗

PubMedDate not supplied

Proteomic profiling of surface proteins on Th1 and Th2 cells.

We utilized mass spectrometry to profile cell surface protein differential expression on primary human T helper (Th1 and Th2) cells with the stable isotope labeling by amino acids in cell culture (SILAC) approach. Proteomic and microarray analyses were done concurrently and results were compared for 38 different genes. Although microarray studies displayed wide variability between donors for mRNA expression, these two approaches were shown to be corroborative for most gene products with the exception of a small subset of uncorrelated protein and message levels. The greatest differing Th1 to Th2 ratios were observed for BST2 (bone marrow stromal protein 2) and TRIM (T cell receptor interacting molecule). Both showed greater Th1 expression by proteomic methods, even though mRNA levels were approximately equal for both. To validate this method, we compared protein expression levels of a recently cloned molecule, B and T cell lymphocyte attenuator (BTLA), on Th1 and Th2 cell populations and showed greater protein expression on Th1 cells, which agrees with a previous analysis of higher BTLA mRNA expression in Th1 cells.(1).

Cell Differentiation↗

PubMed2026

Proteogenomic features define subtypes of mantle cell lymphoma.

Mantle cell lymphoma (MCL) is a biologically heterogeneous B-cell malignancy. Although genomics and transcriptomics have delineated parts of the MCL disease spectrum, proteomics remains largely unexplored. Here, we conducted a comprehensive proteogenomic analysis integrating genomics, transcriptomics, and proteomics on peripheral blood samples from 27 patients with MCL and 4 healthy donors to investigate the translational and posttranslational dimensions of MCL. Our study identified 1296 downregulated and 468 upregulated proteins in MCL cells. The splicing pathways were significantly upregulated at both the mRNA and protein levels, suggesting a critical role for aberrant RNA splicing in MCL pathogenesis. Integration of proteomic data with genetic aberrations revealed immunoglobulin heavy chain variable mutational status and CCND1 mutation are associated with distinctive transcriptomic and proteomic profiles, which correspond to significant differences in clinical outcomes. A multiomics molecular stratification model incorporating proteomic data showed superior predictive power for patient survival compared with single-omics models (concordance index, 0.83 vs 0.74). This study provides, to our knowledge, the first comprehensive proteogenomic profile of MCL, offering novel insights into its molecular mechanisms and clinical behavior. The identification of molecular subtypes and prognostic protein signatures underscores the potential of proteomics to guide precision medicine strategies for MCL.

Humans↗

PubMed2005

Potential drug targets in Mycobacterium tuberculosis through metabolic pathway analysis.

The emergence of multidrug resistant varieties of Mycobacterium tuberculosis has led to a search for novel drug targets. We have performed an insilico comparative analysis of metabolic pathways of the host Homo sapiens and the pathogen M. tuberculosis. Enzymes from the biochemical pathways of M. tuberculosis from the KEGG metabolic pathway database were compared with proteins from the host H. sapiens, by performing a BLASTp search against the non-redundant database restricted to the H. sapiens subset. The e-value threshold cutoff was set to 0.005. Enzymes, which do not show similarity to any of the host proteins, below this threshold, were filtered out as potential drug targets. We have identified six pathways unique to the pathogen M. tuberculosis when compared to the host H. sapiens. Potential drug targets from these pathways could be useful for the discovery of broad spectrum drugs. Potential drug targets were also identified from pathways related to lipid metabolism, carbohydrate metabolism, amino acid metabolism, energy metabolism, vitamin and cofactor biosynthetic pathways and nucleotide metabolism. Of the 185 distinct targets identified from these pathways, many are in various stages of progress at the TB Structural Genomics Consortium. However, 67 of our targets are new and can be considered for rational drug design. As a case study, we have built a homology model of one of the potential drug targets MurD ligase using WHAT IF software. The model could be further explored for insilico docking studies with suitable inhibitors. The study was successful in listing out potential drug targets from the M. tuberculosis proteome involved in vital aspects of the pathogen's metabolism, persistence, virulence and cell wall biosynthesis. This systematic evaluation of metabolic pathways of host and pathogen through reliable and conventional bioinformatic methods can be extended to other pathogens of clinical interest.

Amino Acid Sequence↗

PubMed2005

Stress-induced changes in the Schizosaccharomyces pombe proteome using two-dimensional difference gel electrophoresis, mass spectrometry and a novel integrated robotics platform.

Robotic and manual methods have been used to obtain identification of significantly changing proteins regulated when Schizosaccharomyces pombe is exposed to oxidative stress. Differently treated S. pombe cells were lysed, labelled with CyDye and analysed by two-dimensional difference gel electrophoresis. Gel images analysed off-line, using the DeCyder image analysis software [GE Healthcare, Amersham, UK] allowed selection of significantly regulated proteins. Proteins displaying differential expression were excised robotically for manual digestion and identified by matrix-assisted laser desorption/ionisation - mass spectrometry (MALDI-MS). Additionally the same set of proteins displaying differential expression were automatically cut and digested using a prototype robotic platform. Automated MALDI-MS, peak label assignment and database searching were utilised to identify as many proteins as possible. The results achieved by the robotic system were compared to manual methods. The identification of all significantly altered proteins provides an annotated peroxide stress-related proteome that can be used as a base resource against which other stress-induced proteomic changes can be compared.

Electrophoresis, Gel, Two-Dimensional↗

PubMedDate not supplied

Use of proteomics to discover novel markers of cardiac allograft rejection.

Endomyocardial biopsy remains the most reliable method of detecting rejection following cardiac transplantation. Despite numerous attempts to detect rejection using a blood assay, none have proved reliable enough to replace the biopsy. Here, we have investigated the hypothesis that proteomics has the potential to reveal many molecules which are upregulated in the heart during rejection, some of which may serve as novel blood markers of rejection. Initially, sequential cardiac biopsies (33 in total) from 4 patients were analysed by two-dimensional gel electrophoresis according to whether they showed rejection (n = 16) or no rejection (n = 17); over 100 proteins were found to be upregulated by between 2- and 50-fold during rejection. Of these, 13 were identified and were found to be cardiac specific or heat shock proteins. Two of these (alphaB-crystallin, tropomyosin) were measured by ELISA in the sera of 17 patients followed for 3 months after their transplants. Mean levels of alphaB-crystallin and tropomyosin were significantly higher in sera associated with biopsies showing 1A (p = 0.007) or all grades of rejection (p = 0.022) compared to no rejection. These studies demonstrate that proteomics is a powerful method that can be used to identify novel serum markers of human cardiac allograft rejection.

Adult↗

PubMed2005

Persistence of Streptococcus pyogenes in stationary-phase cultures.

In addition to causing fulminant disease, Streptococcus pyogenes may be asymptomatically carried between recurrent episodes of pharyngitis. To better understand streptococcal carriage, we characterized in vitro long-term stationary-phase survival (>4 weeks) of S. pyogenes. When grown in sugar-limited Todd-Hewitt broth, S. pyogenes cells remained culturable for more than 1 year. Both Todd-Hewitt supplemented with excess glucose and chemically defined medium allowed survival for less than 1 week. After 4 weeks of survival in sugar-limited Todd-Hewitt broth, at least 10(3) CFU per ml remained. When stained with fluorescent live-dead viability stain, there were a number of cells with intact membranes that were nonculturable. Under conditions that did not support persistence, these cells disappeared 2 weeks after loss of culturability. In persistent cultures, these may be cells that are dying during cell turnover. After more than 4 weeks in stationary phase, the culturable cells formed two alternative colony phenotypes: atypical large colonies and microcolonies. Protein expression in two independently isolated microcolony strains, from 14-week cultures, was examined by use of two-dimensional electrophoresis. The proteomes of these two strains exhibited extensive changes compared to the parental strain. While some of these changes were common to the two strains, many of the changes were unique to a single strain. Some of the common changes were in metabolic pathways, suggesting a possible alternate metabolism for the persisters. Overall, these data suggest that under certain in vitro conditions, S. pyogenes cells can persist for greater than 1 year as a dynamic population.

Bacteriological Techniques↗

PubMed2004

Adaptive role of increased frequency of polypurine tracts in mRNA sequences of thermophilic prokaryotes.

The mechanism of an organism's adaptation to high temperatures has been investigated intensively in recent years. It was suggested that the macromolecules of thermophilic microorganisms (especially proteins) have structural features that enhance their thermostability. We compared mRNA sequences of 72 fully sequenced prokaryotic proteomes (14 thermophilic and 58 mesophilic species). Although the differences between the percentage of adenine plus guanine content of whole mRNAs of different prokaryotic species are much lower than those of guanine plus cytosine content, the thermophile purine-pyrimidine (R/Y) ratio within their mRNAs is significantly higher than that of the mesophiles. The first and third codon positions of both thermophiles and mesophiles are purine-biased, with the bias more pronounced by the thermophiles. Thermophile mRNAs that display the highest R/Y ratio (1.43-1.69) are those of the ribosomal proteins, histone-like proteins, DNA-dependent RNA polymerase subunits, and heat-shock proteins. Within mesophilic prokaryotes and five eukaryotic species, the R/Y ratio of the mRNAs of heat-shock proteins is higher than their average over coding part of the genome. Polypurine tracts (R)(n) (with n > or = 5) are much more abundant within the thermophile mRNAs compared with mesophiles. Between two sequential pure-purinic codons of thermophile mRNAs, there is a rather strong tendency for the occurrence of adenine but not guanine tracts. The data suggest that mixed adenine.guanine and polyadenine tracts in mRNAs increase the thermostability beyond the contribution of amino acids encoded by purine tracts, which highlights the importance of ecological stress in the evolution of genome architecture.

Animals↗

PubMed2006

Relative and absolute quantitative shotgun proteomics: targeting low-abundance proteins in Arabidopsis thaliana.

The plant system is a highly dynamic structure on all molecular levels, transcripts, proteins, and metabolites. Thus, protein analysis has to cope with a highly dynamic range of concentrations. A severe problem is the detection of low-abundance proteins in the presence of housekeeping proteins. Basically three approaches are facilitated to measure protein abundance in a comprehensive manner: 2DE and one- or multi-dimensional shotgun proteomics, with or without stable-isotope labelling. These comparative techniques allow for the identification of altered protein levels compared with a reference state. However, they are limited to the analysis of medium/high-abundance proteins. Using stable-isotope dilution techniques it is possible to target the quantitative analysis to low-abundance proteins and to measure absolute concentrations of proteins. Based on multi-dimensional non-gel shotgun proteomics in Arabidopis thaliana, a list of tryptic peptides comprising >1000 proteins was generated. A strategy for quantitative plant proteomics is proposed using this master-list for selecting signature peptides of proteins. To prove the concept, a liquid chromatography-high-resolution triple quadrupole multiple reaction monitoring-mass spectrometry technique is described to determine the absolute amount of a low-abundance sucrose synthase isoform out of an ultra-complex A. thaliana protein extract.

Arabidopsis↗

PubMed2004

Screening for disease-markers and investigating drug effects by proteome profiling: can it meet expectations?

Drugs exert their functions mainly by affecting proteins. Therefore, it seems straightforward to focus on proteins in order to investigate drug effects. Unfortunately, proteins are of very high complexity, rendering it much more difficult to screen for protein alterations as compared to gene regulation. However, the efficiency and applicability of proteome analysis has been dramatically increased recently. We are on the way to be able to comprehensively assess disease-related proteome alterations, which may become an essential source of information for knowledge-based drug design. This review will provide an overview of current techniques in proteome analysis, focusing on screening technologies for biomedical research. An outlook at the future potential of proteomics supported by modern bioinformatics will highlight why proteomics is worth the effort.

Amino Acid Sequence↗