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PubMed2006

Chemical proteomics profiling of proteasome activity.

Proteolysis is a key mechanism for protein homeostasis in living cells. This process is effected by different classes of proteases. The proteasome is one of the most abundant and versatile proteases, bearing three different proteolytic active sites. The proteasome plays an important role in essential biological pathways such as antigen presentation, signal transduction, and cell-cycle control feedback loops. The aim of this work is to design novel chemical strategies for capturing, detection, identification, and quantification--in one word, profiling--the active protease fractions of interest, in cells of different phenotypes. Here, a set of chemistry-based functional proteomics techniques is demonstrated by profiling the multi-catalytic protease activities of the proteasome. Importantly, functional profiling is complementary to expression level profiling and is an indispensable parameter for better understanding of mechanisms underlying biological processes.

Blotting, Western↗
PubMed2006

Quantitative proteomic profiling of pancreatic cancer juice.

Pancreatic juice is an exceptionally rich source of cancer-specific proteins shed from cancerous ductal cells into the pancreatic juice. Quantitative proteomic analysis of the proteins specific to pancreatic cancer juice has not previously been reported. We used isotope-code affinity tag (ICAT) technology and MS/MS to perform quantitative protein profiling of pancreatic juice from pancreatic cancer patients and normal controls. ICAT technology coupled with MS/MS allows the systematic study of the proteome and measures the protein abundance in pancreatic juice with the potential for development of biomarkers. A total of 105 proteins were identified and quantified in the pancreatic juice from a pancreatic cancer patient, of which 30 proteins showed abundance changes of at least twofold in pancreatic cancer juice compared to normal controls. Many of these proteins have been externally validated. This is the first comprehensive study of the pancreatic juice proteome by quantitative global protein profiling, and the study reveals numerous proteins that are shown for the first time to be associated with pancreatic cancer, providing candidates for diagnostic biomarkers. One of the identified proteins, insulin-like growth factor binding protein-2 was further validated by Western blotting to be elevated in pancreatic cancer juice and overexpressed in pancreatic cancer tissue.

Amino Acid Sequence↗
PubMed2006

Proteomic profiling of cholangiocarcinoma: diagnostic potential of SELDI-TOF MS in malignant bile duct stricture.

Proteomic techniques promise to improve the diagnosis of cholangiocarcinoma (CC) in both tissue and serum as histological diagnosis and existing serum markers exhibit poor sensitivities. We explored the use of surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS) to identify potential protein biomarkers of CC. Twenty-two resected CC samples were compared with adjacent noninvolved bile duct tissue. Serum from patients with CC (n=20) was compared with patients with benign disease (n=20), and healthy volunteers (n=25). Samples were analyzed on hydrophobic protein chips via SELDI-TOF MS, and classification models were developed using logistic regression and cross-validation analysis. Univariate analysis revealed 14 individual peaks differentially expressed between CC and bile duct tissue, 4 peaks between CC and benign disease, and 12 peaks between CC and sera of healthy volunteers. The 4,462 mass-to-charge serum peak had superior discriminatory ability to carbohydrate antigen 19.9 (CA19.9) and carcinoembryonic antigen (CEA) (P=.004; receiver operating characteristic [ROC] area under the curve [AUC]=0.76, 0.73, and 0.70, respectively). The training models developed panels of peaks that distinguished CC from bile duct tissue (92.5% sensitivity, 92.3% specificity; ROC AUC=0.96), CC from benign serum (65.0% sensitivity, 70.0% specificity; ROC AUC=0.83), and CC from sera of healthy volunteers (75.0% sensitivity, 100% specificity; ROC AUC=0.92). Serum results were further improved with the inclusion of CA19.9 and CEA (ROC AUC=0.86 and 0.99 for CC vs benign and healthy volunteer serum, respectively). In conclusion, biomarker panels are capable of distinguishing CC from nonmalignant tissue; serum markers have important diagnostic implications for unknown bile duct stricture.

Adult↗
PubMed2006

Proteomics profiling of epidermal mucus secretion of a cichlid (Symphysodon aequifasciata) demonstrating parental care behavior.

The discus fish (Symphysodon aequifasciata) is a cichlid demonstrating advanced mode of parental care towards fry. Both male and female fish utilized epidermal mucus secreted from specialized epidermal cells to feed developing fry. We utilized proteomics to compare protein profile from parental and nonparental fish. Gel analysis revealed a total of 35 spots that were up-regulated in parental mucus. In tandem, another 18 spots were uniquely expressed in parental mucus. MS analysis of these spots identified proteins such as fructose biphosphate aldolase, nucleoside diphosphate kinase, and heat shock proteins, which are essential to support energy provision, cell repair and proliferation, stress mediation, and defense mechanism in parental fish during parental-care period. Concurrently, the detection of several antioxidant-related proteins such as thioredoxin peroxidase and hemopexin suggests a need to overcome oxidative stress during hypermucosal production in parental-care behavior. A C-type lectin was also found to be uniquely expressed in parental mucus and could have important role in providing antimicrobial defense to both parental fish and fry. In summary, our study shows that discus mucus proteome undergoes changes in protein expression during parental-care period.

Amino Acid Sequence↗
PubMed2005

Proteomics profile changes in cisplatin-treated human ovarian cancer cell strain.

To compare the alterations in proteomes between cisplatin-treated and -untreated human ovarian cancer SKOV3 cells, and to explore the feasibility of proteomics in research about antitumor mechanisms of agents, SKOV3 cells were exposed to cisplatin (6 microg/mL) for 6 h. Then, the cells were collected and solubilized and global proteins were extracted by lysis buffer; two-dimensional electrophoresis was conducted with the IPG readystrips as carriers; the gels were stained with Coomassie blue and alterations between gels were compared by PDQuest. Eventually, 11 spots with significant differences were selected and excised and the proteins were identified by PMF and MS/MS analysis. The results revealed that exposure to cisplatin could notably increase expressions of some proteins, such as tropomyosin family, actin family, triosephosphate isomerase family, and HSP60, etc.; while expressions of some other proteins decreased, such as enolase family, etc. Those proteins were involved in cellular energy metabolism, transformation, apoptosis and morphologic maintenance, which suggested that alterations of those physiological processes might be involved in anti-tumor mechanism of cisplatin.

Antineoplastic Agents↗
PubMed2006

Proteomic profiling of metalloprotease activities with cocktails of active-site probes.

Metalloproteases are a large, diverse class of enzymes involved in many physiological and disease processes. Metalloproteases are regulated by post-translational mechanisms that diminish the effectiveness of conventional genomic and proteomic methods for their functional characterization. Chemical probes directed at active sites offer a potential way to measure metalloprotease activities in biological systems; however, large variations in structure limit the scope of any single small-molecule probe aimed at profiling this enzyme class. Here, we address this problem by creating a library of metalloprotease-directed probes that show complementary target selectivity. These probes were applied as a 'cocktail' to proteomes and their labeling profiles were analyzed collectively using an advanced liquid chromatography-mass spectrometry platform. More than 20 metalloproteases were identified, including members from nearly all of the major branches of this enzyme class. These findings suggest that chemical proteomic methods can serve as a universal strategy to profile the activity of the metalloprotease superfamily in complex biological systems.

Affinity Labels↗
PubMed2005

Proteomics profiling of nuclear proteins for kidney fibroblasts suggests hypoxia, meiosis, and cancer may meet in the nucleus.

Proteomics methods were used to characterize proteins that change their form or abundance in the nucleus of NRK49F rat kidney fibroblasts during prolonged hypoxia (1% O(2), 12 h). Of the 791 proteins that were monitored, about 20% showed detectable changes. The 51 most abundant proteins were identified by mass spectrometry. Changes in nuclear receptor transcription factors (THRalpha1, RORalpha4, HNF4alpha, NUR77), other transcription factors (GATA1, AP-2alpha, OCT1, ATF6alpha, ZFP161, ZNF354A, PDCD2), and transcription cofactors (PC4, PCAF, MTA1, TCEA1, JMY) are indicative of major, co-ordinated changes in transcription. Proteins involved in DNA repair/recombination, ribosomal RNA synthesis, RNA processing, nuclear transport, nuclear organization, protein translation, glycolysis, lipid metabolism, several protein kinases (PKCdelta, MAP3K4, GRK3), as well as proteins with no established functional role were also observed. The observed proteins suggest nuclear regulatory roles for proteins involved in cytosolic processes such as glycolysis and fatty acid metabolism, and roles in overall nuclear structure/organization for proteins previously associated with meiosis and/or spermatogenesis (synaptonemal complex proteins 1 and 2 (SYCP1, SYCP2), meiosis-specific nuclear structural protein 1 (MNS1), LMNC2, zinc finger protein 99 (ZFP99)). Proteins associated with cytoplasmic membrane functions (ACTN4, hyaluronan mediated motility receptor (RHAMM), VLDLR, GRK3) and/or endocytosis (DNM2) were also seen. For 30% of the identified proteins, new isoforms indicative of alternative transcription were detected (e.g., GATA1, ATF6alpha, MTA1, MLH1, MYO1C, UBF, SYCP2, EIF3S10, MAP3K4, ZFP99). Comparison with proteins involved in cell death, cancer, and testis/meiosis/spermatogenesis suggests commonalities, which may reflect fundamental mechanisms for down-regulation of cellular function.

Animals↗
PubMed2005

[Proteomic profiling: the potential of Seldi-Tof for the identification of new cancer biomarkers].

Recent advances in proteomics offer opportunities to rapidly identify new biomarkers or pattern of markers for the early detection and diagnosis of cancer and to monitor the therapeutic efficacy and toxicity of treatments used to improve long-term survival of patients. The surfaced-enhanced laser desorption ionization/time-of-flight (Seldi-Tof) mass spectrometry is certainly one of the most promising approaches to achieve these goals. In this paper we will provide an overview of the studies that have used this new technology for the early diagnosis of human cancer.

Biomarkers, Tumor↗
PubMed2026

Spatial Proteomic Profiling, a Novel Method for Detecting Diagnostic and Prognostic Proteins in Pediatric Sarcoma.

Pediatric sarcomas comprise approximately 10% of all childhood solid malignancies and are characterized by distinct genetic and proteomic alterations that have potential diagnostic, prognostic, and therapeutic significance. We have utilized digital spatial profiling (DSP) to identify protein expression in pediatric Ewing sarcoma (ES), Osteosarcoma (OS), Alveolar rhabdomyosarcoma (ARMS), and Embryonal rhabdomyosarcoma (ERMS), in association with clinical outcomes. Formalin-fixed, paraffin-embedded sections from a tissue microarray block containing eight ES, eight OS, five ARMS, and three ERMS cases were subjected to proteomic DSP on a GeoMx NanoString platform yielding information on expression of 580 proteins. Proteins related to epigenetic regulation, signaling pathways, and mesenchymal differentiation were broadly expressed across all tumor types. Tumor-specific protein profiles were defined based on highly expressed proteins. Differentially expressed proteins include Cyclin D1 in ES, S100A4 in OS and IKKi/IKKe in ARMS and ERMS. Immunohistochemical validation confirmed variable expression of H3K27me3 across the tumors, and elevated expression of Cyclin D1 in ES and S100 in OS. These findings underscore the utility of DSP as a high-resolution proteomic tool for the identification of clinically relevant biomarkers in pediatric sarcomas. The results provide a foundation for further investigation of candidate proteins with potential diagnostic, prognostic, and therapeutic applications.

Humans↗
PubMed2005

Statistical and computational methods for comparative proteomic profiling using liquid chromatography-tandem mass spectrometry.

The combined method of LC-MS/MS is increasingly being used to explore differences in the proteomic composition of complex biological systems. The reliability and utility of such comparative protein expression profiling studies is critically dependent on an accurate and rigorous assessment of quantitative changes in the relative abundance of the myriad of proteins typically present in a biological sample such as blood or tissue. In this review, we provide an overview of key statistical and computational issues relevant to bottom-up shotgun global proteomic analysis, with an emphasis on methods that can be applied to improve the dependability of biological inferences drawn from large proteomic datasets. Focusing on a start-to-finish approach, we address the following topics: 1) low-level data processing steps, such as formation of a data matrix, filtering, and baseline subtraction to minimize noise, 2) mid-level processing steps, such as data normalization, alignment in time, peak detection, peak quantification, peak matching, and error models, to facilitate profile comparisons; and, 3) high-level processing steps such as sample classification and biomarker discovery, and related topics such as significance testing, multiple testing, and choice of feature space. We report on approaches that have recently been developed for these steps, discussing their merits and limitations, and propose areas deserving of further research.

Animals↗
PubMed2024

Retinal Proteome Profiling of Inherited Retinal Degeneration Across Three Different Mouse Models Suggests Common Drug Targets in Retinitis Pigmentosa.

Inherited retinal degenerations (IRDs) are a leading cause of blindness among the population of young people in the developed world. Approximately half of IRDs initially manifest as gradual loss of night vision and visual fields, characteristic of retinitis pigmentosa (RP). Due to challenges in genetic testing, and the large heterogeneity of mutations underlying RP, targeted gene therapies are an impractical largescale solution in the foreseeable future. For this reason, identifying key pathophysiological pathways in IRDs that could be targets for mutation-agnostic and disease-modifying therapies (DMTs) is warranted. In this study, we investigated the retinal proteome of three distinct IRD mouse models, in comparison to sex- and age-matched wild-type mice. Specifically, we used the Pde6βRd10 (rd10) and RhoP23H/WT (P23H) mouse models of autosomal recessive and autosomal dominant RP, respectively, as well as the Rpe65-/- mouse model of Leber's congenital amaurosis type 2 (LCA2). The mice were housed at two distinct institutions and analyzed using LC-MS in three separate facilities/instruments following data-dependent and data-independent acquisition modes. This cross-institutional and multi-methodological approach signifies the reliability and reproducibility of the results. The large-scale profiling of the retinal proteome, coupled with in vivo electroretinography recordings, provided us with a reliable basis for comparing the disease phenotypes and severity. Despite evident inflammation, cellular stress, and downscaled phototransduction observed consistently across all three models, the underlying pathologies of RP and LCA2 displayed many differences, sharing only four general KEGG pathways. The opposite is true for the two RP models in which we identify remarkable convergence in proteomic phenotype even though the mechanism of primary rod death in rd10 and P23H mice is different. Our data highlights the cAMP and cGMP second-messenger signaling pathways as potential targets for therapeutic intervention. The proteomic data is curated and made publicly available, facilitating the discovery of universal therapeutic targets for RP.

Animals↗
PubMedDate not supplied

Proteome profiling for assessing diversity: analysis of individual heads of Drosophila melanogaster using LC-ion mobility-MS.

The proteomes of three heads of individual Drosophila melanogaster organisms have been analyzed and compared by a combination of liquid chromatography, ion mobility spectrometry, and mass spectrometry approaches. In total, 197 proteins are identified among all three individuals (an average of 120 +/- 20 proteins per individual), of which at least 101 proteins are present in all three individuals. Within all three datasets, more than 25 000 molecular ions (an average of 9000 +/- 2000 per individual) corresponding to protonated precursor ions of individual peptides have been observed. A comparison of peaks among the datasets reveals that peaks corresponding to protonated peptides that are found in all heads are more intense than those features that appear between pairs of or within only one of the individuals. Moreover, there is little variability in the relative intensities of the peaks common among all individuals. It appears that it is the lower abundance components of the proteome that play the most significant role in determining unique features of individuals.

Animals↗
PubMed2005

"LaneSpector", a tool for membrane proteome profiling based on sodium dodecyl sulfate-polyacrylamide gel electrophoresis/liquid chromatography-tandem mass spectrometry analysis: application to Listeria monocytogenes membrane proteins.

Proteomics is required to provide insight into any type of subproteome. While the workflow based on two-dimensional polyacrylamide gel electrophoresis (2-D PAGE) can be applied for many subproteomes and comprises well-established strategies for data presentation and data analysis, the comprehensive investigation of membrane proteomes remains a challenging task. We present a number of procedures that provide an insight into such systems. We have established a novel protocol for the efficient preparation of membrane fractions, which is used here for the human pathogen Listeria monocytogenes that overcomes difficulties associated with ribosomes. Subsequently, we have used the combination of sodium dodecyl sulfate (SDS)-PAGE and liquid chromatography-tandem mass spectrometry for the characterization of the membrane proteome. Three hundred and one different membrane proteins could be identified, including 70 proteins that exhibited 2-15 transmembrane domains. However, a remarkably high ratio of proteins was detected in gel sections that were not in accordance with their expected migration behavior during SDS-PAGE. Protein identifications based on MASCOT significance criteria could be shown to be of high quality and therefore could not be the explanation of this observation. Consequently we have developed LaneSpector, a general visualization tool that allows the systematic comparison between apparent and calculated protein masses, which is routinely applicable to any high-throughput approach using a mass-dependent separation dimension prior to LC-MS/MS. The detailed presentation of the LaneSpector plot promotes the validation of the analytical process and might help to reveal relevant biological processes such as proteolysis or other post-translational modifications.

Bacterial Proteins↗
PubMed2026

Quantitative Proteomic Profiling of Pinctada fucata Shell Nacre Defines a Solubility-Based Type Classification of Shell Matrix Proteins.

Shell matrix proteins (SMPs) are key organic components of molluscan biominerals, yet previous nacre proteomics have remained largely qualitative, limiting evaluation of the abundance and fraction association of individual SMPs. Here, we established a quantitative proteomic approach for the nacreous layer of the pearl oyster Pinctada fucata by integrating optimized shell preservation, stepwise fractionation, and data-independent acquisition (DIA) proteomics. SMPs were separated into an ethylenediaminetetraacetic acid (EDTA)-soluble matrix (ESM), an EDTA-insoluble but sodium dodecyl sulfate/dithiothreitol (SDS/DTT)-soluble matrix (SSM), and an SDS/DTT-insoluble matrix (ISM). DIA outperformed data-dependent acquisition in proteome coverage and enabled quantification of 327 SMPs across a broad dynamic range. Fraction-resolved abundance profiling showed that each fraction was characterized by distinct SMP compositions. To summarize these distributions, we introduced a solubility-based type classification that grouped SMPs into four types according to their quantitative partitioning among fractions. Well-known SMPs, including nacrein, Pif 80, and MSI60, were assigned to intuitively consistent types, whereas proteases, protease inhibitors, and tyrosinases also showed biased type distributions. These results support a three-compartment model of the nacreous layer consisting of (i) an insoluble interlamellar membrane core, (ii) a relatively extractable interfacial layer, and (iii) a soluble matrix fraction enriched in proteins potentially involved in ionic regulation and protein maturation. This study provides a quantitative framework for understanding coordinated SMP functions during nacre formation and for comparative analyses of molluscan shell proteomes.

Animals↗
PubMed2004

Cross-species identification of proteins from proteome profiles of the marine oligotrophic ultramicrobacterium, Sphingopyxis alaskensis.

Sphingopyxis (formerly Sphingomonas) alaskensis is a model bacterium for studying adaptation to oligotrophy (nutrient-limitation). It has a unique physiology which is fundamentally different to that of the well studied bacteria such as Escherichia coli. To begin to identify the genes involved in its physiological responses to nutrient-limited growth and starvation, we developed high resolution two-dimensional electrophoresis (2-DE) methods and determined the identity of 12 proteins from a total of 21 spots using mass spectrometric approaches and cross-species matching. The best matches were to Novosphingobium aromaticivorans; a terrestrial, hydrocarbon degrading bacterium which was previously classified in the genus Sphingomonas. The proteins identified are involved in fundamental cellular processes including protein synthesis, protein folding, energy generation and electron transport. We also compared radiolabelled and silver-stained 2-DE gels generated with the same protein samples and found significant differences in the protein profiles. The use of both methods increased the total number of proteins with differential spot intensities which could be identified from a single protein sample. The ability to effectively utilise cross-species matching from radiolabelled and silver-stained gels provides new approaches for determining the genetic basis of microbial oligotrophy.

Adaptation, Physiological↗
PubMed2007

Proteomic profiling identifies breast tumor metastasis-associated factors in an isogenic model.

A combination of LC and MS was applied to an isogenic breast tumor metastasis model to identify proteins associated with a cellular phenotype. Chromatofocusing followed by nonporous-RP-HPLC/ESI-TOF MS was applied to cell lysates of a pair of monoclonal cell lines from the human breast carcinoma cell line MDA-MB-435 that have different metastatic phenotypes in immune-compromised mice. This method was developed to separate proteins based on pI and hydrophobicity. The high resolution and mass accuracy of ESI-TOF measurements provided a good correlation of theoretical MW and experimental Mr values of intact proteins measured in mass maps obtained in the pH range 3.8-6.4. The isolated proteins were digested by trypsin and analyzed by MALDI-TOF MS, MALDI-QIT-TOF MS, and monolith-based HPLC/MS/MS. The unique combination of the techniques provided valuable information including quantitation and modification of proteins. We identified 89 selected proteins, of which 43 were confirmed as differentially expressed. Metastasis-associated proteins included galectin-1, whereas annexin I and annexin II were associated with the nonmetastatic phenotype. In this study, we demonstrate that combining a variety of MS tools with a multidimensional liquid-phase separation provides the ability to map cellular protein content, to search for modified proteins, and to correlate protein expression with cellular phenotype.

Biomarkers, Tumor↗
PubMed2004

Proteomic profiling of bone marrow mesenchymal stem cells upon transforming growth factor beta1 stimulation.

Bone marrow mesenchymal stem cells (MSCs) can differentiate into different types of cells and have tremendous potential for cell therapy and tissue engineering. Transforming growth factor beta1 (TGF-beta) plays an important role in cell differentiation and vascular remodeling. We showed that TGF-beta induced cell morphology change and an increase in actin fibers in MSCs. To determine the global effects of TGF-beta on MSCs, we employed a proteomic strategy to analyze the effect of TGF-beta on the human MSC proteome. By using two-dimensional gel electrophoresis and electrospray ionization coupled to quadrupole/time-of-flight tandem mass spectrometers, we have generated a proteome reference map of MSCs, and we identified approximately 30 proteins with an increase or decrease in expression or phosphorylation in response to TGF-beta. The proteins regulated by TGF-beta included cytoskeletal proteins, matrix synthesis proteins, membrane proteins, metabolic enzymes, etc. TGF-beta increased the expression of smooth muscle alpha-actin and decreased the expression of gelsolin. Overexpression of gelsolin inhibited TGF-beta-induced assembly of smooth muscle alpha-actin; on the other hand, knocking down gelsolin expression enhanced the assembly of alpha-actin and actin filaments without significantly affecting alpha-actin expression. These results suggest that TGF-beta coordinates the increase of alpha-actin and the decrease of gelsolin to promote MSC differentiation. This study demonstrates that proteomic tools are valuable in studying stem cell differentiation and elucidating the underlying molecular mechanisms.

Actins↗