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Clathrin and adaptin accumulation in drusen, Bruch's membrane and choroid in AMD and non-AMD donor eyes.

Clathrin was identified in a recent proteomic analysis of Bruch's membrane from age-related macular degeneration (AMD) donor eyes. The present study was conducted to determine the localization of clathrin in AMD tissues and to compare this distribution and relative content with that in non-AMD control tissues. The distribution of adaptin, which is functionally linked to clathrin, was also evaluated. Human eyes were from donors between 66 and 94 years of age; 13 eyes were from donors with AMD and 13 from non-AMD donors. Bruch's membrane and choroid from the macula of each donor eye were prepared for immunohistochemistry and Western blotting. Differences in immunoreactivity were quantitated. Drusen, Bruch's membrane and choroid from AMD tissues showed greater immunoreactivity for clathrin and adaptin than did non-AMD tissues. Western blots also showed more intense clathrin and adaptin immunoreactivity in AMD tissues than were present in non-AMD samples. This study suggests that accumulation of clathrin and adaptin in drusen, Bruch's membrane and choroid may reflect a higher rate of clathrin mediated endocytosis in AMD tissues. Alternatively, the accumulation of these proteins in these extracellular compartments may reflect a higher susceptibility to oxidative damage.

Adaptor Protein Complex alpha Subunits↗

Isotope-differentiated binding energy shift tags (IDBEST) for improved targeted biomarker discovery and validation.

Mass spectrometry has proved to be an important tool for protein biomarker discovery, identification and characterization. However, global proteomic profiling strategies often fail to identify known low-abundance biomarkers as a result of the limited dynamic range of mass spectrometry (two to three orders of magnitude) compared with the large dynamic range of protein concentrations in biologic fluids (11 to 12 orders of magnitude for serum). In addition, the number of peptides generated in such methods vastly overwhelms the resolution capacity of mass spectrometers, requiring extensive sample clean-up (e.g., affinity tag, retentate chromatography and/or high-performance liquid chromatography) before mass spectrometry analysis. Baiting and affinity pre-enrichment strategies, which overcome the dynamic range and sample complexity issues of global proteomic strategies, are very difficult to couple to mass spectrometry. This is due to the fact that it is nearly impossible to sort target peptides from those of the bait since there will be many cases of isobaric peptides. IDBEST (Target Discovery, Inc.) is a new tagging strategy that enables such pre-enrichment of specific proteins or protein classes as the resulting tagged peptides are distinguishable from those of the bait by a mass defect shift of approximately 0.1 atomic mass units. The special characteristics of these tags allow: resolution of tagged peptides from untagged peptides through incorporation of a mass defect element; high-precision quantitation of up- and downregulation by using stable isotope versions of the same tag; and potential analysis of protein isoforms through more complete peptide coverage from the proteins of interest.

Biomarkers↗

Identification of novel genes differentially expressed in PMA-induced HL-60 cells using cDNA microarrays.

Identification of normal growth and differentiation-inducing proteins and their interaction in normal development have made it possible to elucidate the molecular basis of normal development and the mechanisms uncoupling growth and differentiation during tumor development. The development of cancer and the experimental reversal of tumorigenicity are accompanied by complex changes in patterns of gene expression. cDNA microarrays provide a powerful tool for studying these phenomena. In the present study, a high-density microarray of human cDNA elements was used to search for differences in gene expression associated with differentiation of human promyelic leukemia HL-60 cells. Microarrays containing 3,063 human cDNAs were printed on glass slides with high-speed robotics. These DNA 'chips' were used to quantitatively monitor differential expression of the cognate human genes using a highly sensitive two-color hybridization assay. The identification of known and novel phorbol ester-regulated genes in hematopoietic progenitor cells demonstrates the sensitivity of the assay.

Base Sequence↗

Evidence-based medicine, medical decision analysis, and pathology.

Recent advances in molecular pathology and other technologies such as proteomics present pathologists with the challenge of integrating the new information generated with high-throughput methods with current diagnostic models based mostly on histopathology and clinicopathologic correlations. Parallel developments in the field of medical informatics and bioinformatics provide the technical and mathematical methods to approach these problems in a rational manner. However, it remains unclear whether pathologists or other medical specialists will become primarily responsible for the development and maintenance of these multivariate and multidisciplinary diagnostic and prognostic models that are hoped to provide more accurate, individualized patient-based information. Evidence-based medicine (EBM) and medical decision analysis (MDA) are relatively new disciplines that use quantitative methods to assess the value of information, differentiate fact from myth, and integrate so-called best evidence into multivariate models for the assessment of prognosis, response to therapy, selection of laboratory tests, and other complex problems that influence individual patient care. We review from an epistemological viewpoint the current approach to information in pathology and describe some of the concepts developed by the practitioners of EBM and MDA.

Computational Biology↗

Rapid and stable buffer exchange system using InSitu Chip suitable for multicolor and large-scale whole-mount analyses.

Whole-mount in situ hybridization (WISH) and whole-mount immunohistochemistry (WIHC) are informative methods commonly used to analyze the spatiotemporal and quantitative distribution of mRNAs and proteins. However, these methods require multiple buffer changes and the imposition of time- and nerve-consuming efforts. To facilitate the whole-mount analyses, we innovated an easy and one-step buffer exchange system named "InSitu Chip" based on a single column containing two attached filters. This system improves the speed and stabilizes the different steps of the currently available protocols, providing fast and uniform operations. The InSitu Chip system is especially appropriate for multicolor whole-mount analyses using fluorescent detection. Furthermore, the InSitu Chip system is also suitable for large-scale whole-mount experiments associated with genome, transcriptome, and/or proteome analyses requiring high-throughput, high-quality, and reproducible results. Using the InSitu Chip, about 1,500 gene expression patterns were stably surveyed in ascidian Ciona intestinalis juveniles.

Animals↗

A bichromatic fluorescent reporter for cell-based screens of alternative splicing.

Alternative splicing is the primary source of proteome complexity in metazoans and its regulation shapes the proteome in response to shifting physiological requirements. We developed a bichromatic splicing reporter that uses a peculiar feature of some fluorescent protein coding regions to express two different fluorescent proteins from a single alternative splicing event. The mutually exclusive expression of different fluorescent proteins from a single reporter provides a uniquely sensitive approach for high-throughput screening and analysis of cell-specific splicing events in mixed cell cultures and tissues of transgenic animals. This reporter is applicable to the majority of alternative splicing patterns and can be used to quantify alternative splicing within single cells and to select cells that express specific splicing patterns. The ability to perform quantitative single-cell analysis of alternative splicing and high-throughput screens will enhance progress toward understanding splicing regulatory networks and identifying compounds that reverse pathogenic splicing defects.

Alternative Splicing↗

Expression of the calcium-binding protein S100A4 is markedly up-regulated by osmotic stress and is involved in the renal osmoadaptive response.

Proteomic analysis of Inner Medullary Collecting Duct (IMCD3) cells adapted to increasing levels of tonicity (300, 600, and 900 mosmol/kg H(2)O) by two-dimensional difference gel electrophoresis and mass spectrometry revealed several proteins as yet unknown to be up-regulated in response to hypertonic stress. Of these proteins, one of the most robustly up-regulated (22-fold) was S100A4. The identity of the protein was verified by high pressure liquid chromatography-mass spectrometry. Western blot analysis confirmed increased expression with increased tonicity, both acute and chronic. S100A4 protein expression was further confirmed by immunocytochemical analysis. Cells grown in isotonic conditions showed complete absence of immunostaining, whereas chronically adapted IMCD3 cells had uniform cytoplasmic localization. The protein is also regulated in vivo as in mouse kidney tissues S100A4 expression was many -fold greater in the papilla as compared with the cortex and increased further in the papilla upon 36 h of thirsting. Increased expression of S100A4 was also observed in the medulla and papilla, but not the cortex of a human kidney. Data from Affymetrix gene chip analysis and quantitative PCR also revealed increased S100A4 message in IMCD3 cells adapted to hypertonicity. The initial expression of message increased at 8-10 h following exposure to acute sublethal hypertonic stress (550 mosmol/kg H(2)O). Protein and message half-life in IMCD3 cells were 85.5 and 6.8 h, respectively. Increasing medium tonicity with NaCl, sucrose, mannitol, and choline chloride stimulated S100A4 expression, whereas urea did not. Silencing of S100A4 expression using a stable siRNA vector (pSM2; Open Biosystems) resulted in a 48-h delay in adaptation of IMCD3 cells under sublethal osmotic stress, suggesting S100A4 is involved in the osmoadaptive response. In summary, we describe the heretofore unrecognized up-regulation of a small calcium-binding protein, both in vitro and in vivo, whose absence profoundly delays osmoadaptation and slows cellular growth under hypertonic conditions.

Adaptation, Physiological↗

Cooperative evolution in protein complexes of yeast from comparative analyses of its interaction network.

A comparative analysis among Saccharomyces cerevisiae and the other four yeasts Candida glabrata, Kluyveromyces lactis, Debaryomyces hansenii, and Yarrowia lipolytica is presented. The broad evolutionary range spanned by the organisms allows to quantitatively demonstrate novel evolutionary effects in protein complexes. The evolution rates within cliques of interlinked proteins are found to bear strong multipoint correlations, witnessing a cooperative coevolution of complex subunits. The coevolution is found to be largely independent of the tendency of the subunits to have similar abundances.

Candida glabrata↗

Flux balance analysis in the era of metabolomics.

Flux balance analysis (FBA) has emerged as an effective means to analyse biological networks in a quantitative manner. Much progress has been made on the extension of FBA to incorporate a priori biological knowledge, provide more practical descriptions of observed cell behaviours, and predict the outcome of network perturbations. Metabolomics is independently advancing as a set of high-throughput data acquisition tools providing dynamic profiles of metabolites in an unbiased manner. These data sets are neither yet sufficiently comprehensive nor accurate enough for generating large-scale kinetic models. Thus, there is a pressing need to develop quantitative techniques that can make use of the emerging data and embrace the associated uncertainties. This article reviews recent advances in FBA to meet this need and discusses the utility of FBA as a complement to metabolomics and the expected synergy as a result of combining these two techniques.

Animals↗

Protein regulation of intrarenal crystallization.

PURPOSE OF REVIEW: In this review we discuss the key role renal proteins appear to play during initiation and growth of renal stones. RECENT FINDINGS: Specific macromolecules have been identified in urine that can regulate crystal nucleation, growth, aggregation, and adhesion to renal cells. Many are incorporated into the matrix of crystals while they grow, including urinary prothrombin fragment 1, thereby increasing crystal susceptibility to degradation by cellular proteases. None of these macromolecular inhibitors appears to be quantitatively decreased in the urine of stone formers, although functional deficiencies thought due to abnormal glycosylation have been implicated, especially in the case of Tamm Horsfall protein. Increasing information is available on the nature and expression of crystal binding molecules on the renal cell surface, and they appear to be maximally expressed in response to stressful stimuli. Studies that employ atomic force microscopy and knockout mice are now being used to further clarify macromolecule-crystal interactions. SUMMARY: The exact series of events that transform supersaturation to crystal formation and renal stones are poorly defined. Multiple anchored and soluble renal proteins potentially modulate or even regulate these events. A combination of proteomics and molecular biology seems likely to unravel these critical mediators in the coming years.

Animals↗

Assessment of the catabolic effects of interleukin-1beta on proteoglycan metabolism in equine cartilage cocultured with synoviocytes.

OBJECTIVE: To evaluate the effects of interleukin (IL)-1beta on proteoglycan metabolism in equine cartilage explants when cultured in the presence of synoviocytes. SAMPLE POPULATION: Samples of cartilage and synovium collected from the femoropatellar joints of three 2- to 3-year-old horses. PROCEDURES: 3 experimental groups were established: cartilage explants only, synoviocytes only, and cartilage explants-synoviocytes in coculture. In each group, samples were cultured with or without IL-1beta (10 ng/mL) for 96 hours. Glycosaminoglycan (GAG) content of cartilage and medium samples was measured by use of a spectrophotometric assay; RNA was isolated from synoviocytes and cartilage and analyzed for expression of matrix metalloproteinases (MMP)-3 and -13 (cartilage and synoviocytes), aggrecan (cartilage), collagen type IIB (cartilage), and 18S as a control (cartilage and synoviocytes) by use of quantitative PCR assays. Cartilage matrix metachromasia was assessed histochemically. RESULTS: IL-1beta-induced GAG loss from cartilage was significantly less in cocultures than in cartilage-only cultures. Cartilage aggrecan gene expression was also significantly less downregulated and synoviocyte MMP-3 expression was less upregulated by IL-1beta in cocultures, compared with cartilage- and synoviocyte only cultures. Histochemical findings supported the molecular and biochemical results and revealed maintenance of matrix metachromasia in cocultured cartilage treated with IL-1beta. CONCLUSIONS AND CLINICAL RELEVANCE: Results suggest that synoviocytes secrete 1 or more mediators that preferentially protect matrix GAG metabolism from the degradative effects of IL-1beta. Further studies involving proteomic and microarray approaches in similar coculture systems may elucidate novel therapeutic targets for the treatment of osteoarthritis.

Aggrecans↗

Rapid assessment of protein structural stability and fold validation via NMR.

In structural proteomics, it is necessary to efficiently screen in a high-throughput manner for the presence of stable structures in proteins that can be subjected to subsequent structure determination by X-ray or NMR spectroscopy. Here we illustrate that the (1)H chemical distribution in a protein as detected by (1)H NMR spectroscopy can be used to probe protein structural stability (e.g., the presence of stable protein structures) of proteins in solution. Based on experimental data obtained on well-structured proteins and proteins that exist in a molten globule state or a partially folded alpha-helical state, a well-defined threshold exists that can be used as a quantitative benchmark for protein structural stability (e.g., foldedness) in solution. Additionally, in this chapter we describe a largely automated strategy for rapid fold validation and structure-based backbone signal assignment. Our methodology is based on a limited number of NMR experiments (e.g., HNCA and 3D NOESY-HSQC) and performs a Monte Carlo-type optimization. The novel feature of the method is the opportunity to screen for structural fragments (e.g., template scanning). The performance of this new validation tool is demonstrated with applications to a diverse set of proteins.

Calcium↗

Two-dimensional difference gel electrophoresis.

The two-dimensional (2D) polyacrylamide gel-based approach to protein profiling has been successful because it is an accessible, inexpensive, and powerful tool for the analysis of global patterns of protein expression. All protein spots that are resolved and detected within the 104 to 105 dynamic range of gel capacity can be studied qualitatively and quantitatively in relation to each other, and viewed as a single image. Two-dimensional difference gel electrophoresis (DIGE) has strengthened the 2D platform by allowing the detection and quantitation of differences between samples resolved on the same gel, or across multiple gels, when linked by an internal standard. The technology is based on modification of protein extracts with fluorescent cyanine dyes, which have distinct excitation and emission spectra and are migration (charge and size) matched so that the same protein labeled with any of the dyes (Cy2, Cy3, Cy5) will migrate to the same position within a 2D gel, greatly enhancing reproducibility. It is becoming clear that each technology that is currently available for quantifying differential protein expression has its own weaknesses and strengths, and that multiplatform, integrated approaches will be necessary to provide the most complete analysis of any given proteome. We believe that DIGE is, and will remain in the future, a key front-end proteomic tool that will strongly complement other protein-profiling technologies.

Animals↗

Two-dimensional electrophoresis of liver proteins: characterization of a drug-induced hepatomegaly in rats.

Two-dimensional electrophoresis (2-DE) of liver proteins was applied to further characterize an unusual drug-induced increase in hepatocellular rough endoplasmic reticulum (RER) in Sprague-Dawley rats given a substituted pyrimidine derivative. Absolute liver weights of drug-treated rats (9.9 +/- 0.4 g) increased above vehicle-treated controls (7.2 +/- 0.2 g) by 37%. Light microscopy revealed diffuse granular basophilia of the hepatocellular cytoplasm, uncharacteristic of hepatocytes and suggested cells rich in ribosomes, which was confirmed by electron microscopy. Immunostaining for cell proliferation, viz., 5-bromo-2'-deoxyuridine (BrdU) and proliferating cell nuclear antigen (PCNA), indicated marked hepatocellular proliferative activity. 2-DE of solubilized liver using an ISO-DALT gel system indicated significant (p<0.001) quantitative changes in at least 17 liver proteins (12 increased, 5 decreased) compared to controls. The protein with the largest increase was homologous to acute-phase reactant, contrapsin-like protein inhibitor-6. Other markedly upregulated proteins were methionine adenosyltransferase, a catalyst in methionine/ATP metabolism and mitochondrial HMG-CoA synthase, involved in cholesterol synthesis. The complementary strategies of 2-DE coupled either with database spot mapping or protein isolation and amino acid sequencing successfully identified a subset of proteins from xenobiotic-damaged rodent livers, the expression of which differed from controls. However, the current bioinformatics platform for rodent hepatic proteins and limited knowledge of specific protein functionality restricted application of this proteomics profile to further define a mechanistic basis for this unusual hepatotoxicity.

Animals↗

Experimental Peptide Identification Repository (EPIR): an integrated peptide-centric platform for validation and mining of tandem mass spectrometry data.

LC MS/MS has become an established technology in proteomic studies, and with the maturation of the technology the bottleneck has shifted from data generation to data validation and mining. To address this bottleneck we developed Experimental Peptide Identification Repository (EPIR), which is an integrated software platform for storage, validation, and mining of LC MS/MS-derived peptide evidence. EPIR is a cumulative data repository where precursor ions are linked to peptide assignments and protein associations returned by a search engine (e.g. Mascot, Sequest, or PepSea). Any number of datasets can be parsed into EPIR and subsequently validated and mined using a set of software modules that overlay the database. These include a peptide validation module, a protein grouping module, a generic module for extracting quantitative data, a comparative module, and additional modules for extracting statistical information. In the present study, the utility of EPIR and associated software tools is demonstrated on LC MS/MS data derived from a set of model proteins and complex protein mixtures derived from MCF-7 breast cancer cells. Emphasis is placed on the key strengths of EPIR, including the ability to validate and mine multiple combined datasets, and presentation of protein-level evidence in concise, nonredundant protein groups that are based on shared peptide evidence.

Breast Neoplasms↗

Gene and protein kinase expression profiling of reactive oxygen species-associated lipotoxicity in the pancreatic beta-cell line MIN6.

Oligonucleotide microarrays were used to define oleic acid (OA)-regulated gene expression and proteomic technology to screen protein kinases in MIN6 insulinoma cells. The effects of oxidative stress caused by OA and potential protective effects of N-acetyl-L-cysteine (NAC), a scavenger of reactive oxygen species (ROS), on global gene expression and beta-cell function were investigated. Long-term exposure of MIN6 cells to OA led to a threefold increase in basal insulin secretion, a 50% decrease in insulin content, an inhibition of glucose-stimulated insulin secretion (GSIS), and a twofold increase in the level of ROS. The addition of NAC normalized both the OA-induced insulin content and ROS elevation, but it failed to restore GSIS. Microarray studies and subsequent quantitative PCR analysis showed that OA consistently regulated the expression of 45 genes involved in metabolism, cell growth, signal transduction, transcription, and protein processing. The addition of NAC largely normalized the expression of the OA-regulated genes involved in cell growth and differentiation but not other functions. A protein kinase screen showed that OA regulated the expression and/or phosphorylation levels of kinases involved in stress-response mitogen-activated protein kinase, phosphatidylinositol 3-kinase, and cell cycle control pathways. Importantly, these findings indicate that chronic OA exposure can impair beta-cell function through ROS-dependent and -independent mechanisms.

Acetylcysteine↗

Liquid chromatography-mass spectrometry and 15N metabolic labeling for quantitative metabolic profiling.

Metabolomics, i.e., the global analysis of cellular metabolites, is becoming a powerful tool for gaining insights into biological functions in the postgenomic context. However, absolute quantitation of endogenous metabolites in biological media remains an issue, and available technologies for the analysis of metabolome still lack robustness and accuracy. We describe here a new method based on liquid chromatography-mass spectrometry and (15)N uniform metabolic labeling of Saccharomyces cerevisiae for accurate and absolute quantitation of nitrogen-containing cell metabolites in metabolic profiling experiments. As a proof of concept study, eight sulfur metabolites involved in the glutathione biosynthesis pathway (i.e., cysteine, homocysteine, methionine, gamma-glutamylcysteine, cystathionine, reduced and oxidized forms of glutathione, and S-adenosylhomocysteine) were simultaneously quantified. The analytical method has been validated by studies of stability, selectivity, precision, and linearity and by the determination of the limits of detection and quantification. It was then applied to the analysis of extracts from cadmium-treated yeasts. In these conditions, the intracellular concentrations of most of the metabolites involved in the glutathione biosynthesis pathway were increased when compared to control extracts. These data correlate with previous proteomic results and also underline the importance of glutathione in cadmium detoxication.

Cadmium↗

Towards the molecular dissection of fertilization signaling: Our functional genomic/proteomic strategies.

Recent advances in DNA sequencing techniques and automated informatics has led to clarification of all genome sequence of some model organisms in a very short period. The demonstration of the first draft sequence of the human genome has prompted us to elaborate new approaches in biology, pharmacology and medicine. Such new research will focus on high throughput methods to function on collections of genes, and hopefully, on a genome-wide, quantitative modeling of the cell system as a whole. In this review article, we discuss the present status of "post genome sequencing" approaches in line with our strategies for understanding the molecular mechanism of fertilization and activation of development using the African clawed frog, Xenopus laevis, as a model system.

Animals↗