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Comparative proteomics of pulmonary tumors with neuroendocrine differentiation.

We aimed to evaluate neuroendocrine pulmonary tumors (NEPT) by a novel method involving map tree construction by comparing all of the protein spots. We performed a proteomics analysis to assess the similarities in protein expression between neuroendocrine pulmonary tumors (NEPT), including typical carcinoids (TC), atypical carcinoids (AC), large cell neuroendocrine carcinomas (LCNEC) and small cell carcinomas (SCLC). Total protein lysates were obtained from seven histologically confirmed frozen NEPT tissues, including 1TC, 2 SCLC, and 4 cases ranging from AC to LCNEC. 2-DE demonstrated that TC was similar to normal lung. AC, LCNEC, and SCLC were similar to each other, forming a group separate from TC, however, SCLC at an early stage showed a similarity to TC. MALDI analysis detected 9 surrogate endpoint biomarkers, including eIF5A1, GST M3, cytokeratin 18 (CK 18), FK506-binding protein p59, p63, MAGE-D2, mitochondrial short-chain enoyl-coenzyme A hydratase 1, tranferrin and poly (rC) binding protein 1. Immunohistochemical staining revealed a gradual decrease in expression rate of p63 and CK 18 with poor differentiation of NEPT. Our results demonstrate that (1) the comparative proteomics of NEPT match the WHO classification except for AC and LCNEC; (2) SCLC show differences in their proteomics according to tumor stage; and (3) CK 18 and p63 may be useful as diagnostically and prognostically available markers.

Carcinoma, Large Cell↗

Proteomic patterns: their potential for disease diagnosis.

Alterations in proteins abundance, structure, or function, act as useful indicators of pathological abnormalities prior to development of clinical symptoms and as such are often useful diagnostic and prognostic biomarkers. The underlying mechanism of diseases such as cancer are, however, quite complicated in that often multiple dysregulated proteins are involved. It is for this reason that recent hypotheses suggest that detection of panels of biomarkers may provide higher sensitivities and specificities for disease diagnosis than is afforded with single markers. Recently, a novel approach based on the analysis of protein patterns has emerged that may provide a more effective means to diagnose diseases, such as ovarian and prostate cancer. The method is based on the use of surface-enhanced laser desorption/ionization (SELDI) time-of-flight mass spectrometry (TOF-MS) to detect differentially captured proteins from clinical samples, such as serum and plasma. This analysis results in the detection of "proteomic" patterns that have been shown in recent investigations to distinguish diseased and unaffected subjects to varying degrees. This review will discuss the basics of SELDI protein chip technology and highlight its recent applications in disease biomarker discovery with emphasis on cancer diagnosis.

Alzheimer Disease↗

A combination of proteomics, principal component analysis and transcriptomics is a powerful tool for the identification of biomarkers for macrophage maturation in the U937 cell line.

The monocyte-like human histiocytic lymphoma cell line U937 can be induced by phorbol 12-myristate 13-acetate (PMA) to undergo differentiation into a macrophage-like phenotype. We have used two-dimensional gel electrophoresis (2-DE), oligonucleotide microarrays and principal component analysis (PCA) to characterize the U937 cell line as a model system for the differentiation of monocytes into macrophages. A total of 226 differentially expressed proteins were found, of which 41 were selected by PCA for identification using matrix-assisted laser desorption/ionization tandem mass spectrometry. Based on the PCA results, three marker proteins were selected for confirmation of differential expression using Western blot and quantitative real time-PCR. The selected marker proteins were: gamma interferon inducible lysosomal thiol reductase, cathepsin D and adipocyte-fatty acid binding protein. All three proved to be good differentiation markers for macrophage maturation of U937 cells as well as peripheral blood-derived macrophages. The transcriptomics data revealed a large number of additional putative differentiation markers in U937 macrophages, many of which are known to be expressed in peripheral blood-derived macrophages. These include osteospontin, matrix metalloproteinase 9, and HC-gp39. Our results show that the characteristics of U937 macrophages resemble those of inflammatory (exudate) macrophages, exemplified by the down-regulation of 5' nucleotidase and the up-regulation of leucine aminopeptidase mRNAs. In conclusion, using the powerful combination of transcriptomics, 2-DE and PCA, our results show that U937 cells differentiated by PMA treatment are an excellent model system for monocyte derived macrophage generation from blood.

Cell Differentiation↗

Identification of metastasis-associated proteins through protein analysis of metastatic MDA-MB-435 and metastasis-suppressed BRMS1 transfected-MDA-MB-435 cells.

BRMS1 (breast cancer metastasis suppressor 1) was recently identified as a novel breast cancer metastasis suppressor gene. To further characterize BRMS1-mediated metastasis suppression, we applied two-dimensional proteomic and mass spectrometry (LC-tandem MS and MALDI-TOF) analysis to identify proteins differentially expressed between highly metastatic MDA-MB-435 cells and metastasis-suppressed BRMS1-transfected MDA-MB-435 cells. Quadruplicate independent 2D gels were run and analyzed under identical conditions. Following in-gel trypsin digestion of seven differentially expressed proteins, amino acid sequence and mass profiles of the peptides were generated. Proteins were identified from the NCBI non-redundant database using the search program TurboSequest. Differential expression was confirmed for five proteins, including annexin I and alpha B-crystallin, by Northern blot analysis and immunostaining. Furthermore, we showed that both proteins were expressed in vivo in lungs containing metastasized MDA-MB-435 cells but not expressed in normal lung tissue of athymic mice. Our results suggest that annexin I and alpha B-crystallin are important cellular proteins that are down regulated through BRMS1 mediated metastasis suppression.

Amino Acid Sequence↗

[Proteomics-based identification of Maspin differential expression in bronchial epithelial immortalized cells and malignant transformation cells].

BACKGROUND & OBJECTIVE: Maspin, a serepin inhibitor, plays a key role in tumor growth and metastasis. The aim of this study was to identify the differential expression of Maspin in malignant transformation process of bronchial epithelial cells by proteomics. METHODS: Functional proteomics analysis of Maspin on bronchial epithelial immortalized cells and malignant transformation cells was carried out using immobilized pH gradient (IPG) two-dimensional electrophoresis, peptide mass fingerprinting (PMF), and post source decay (PSD) of bio-mass spectrometry. RESULTS: Nearly 1500 expressed proteins profile on bronchial epithelial immortalized cells and malignant transformation cells were obtained in the range of MW 14.4-94 kDa, PI 3-10. Image analysis showed that Maspin was down-regulated in malignant transformation cells compared with that in immortalized cells. Northern blot analysis showed that the mRNA abundance of Maspin in malignant transformation cells was much lower than that in immortalized cells. CONCLUSION: Alteration expression of Maspin at transcription and translation levels might be involved in carcinogenesis of lung.

Blotting, Northern↗

Unsupervised immunophenotypic profiling of chronic lymphocytic leukemia.

BACKGROUND: Proteomics and functional genomics have revolutionized approaches to disease classification. Like proteomics, flow cytometry (FCM) assesses concurrent expression of many proteins, with the advantage of using intact cells that may be differentially selected during analysis. However, FCM has generally been used for incremental marker validation or construction of predictive models based on known patterns, rather than as a tool for unsupervised class discovery. We undertook a retrospective analysis of clinical FCM data to assess the feasibility of a cell-based proteomic approach to FCM by unsupervised cluster analysis. METHODS: Multicolor FCM data on peripheral blood (PB) and bone marrow (BM) lymphocytes from 140 consecutive patients with B-cell chronic lymphoproliferative disorders (LPDs), including 81 chronic lymphocytic leukemia (CLLs), were studied. Expression was normalized for CD19 totals, and recorded for 10 additional B-cell markers. Data were subjected to hierarchical cluster analysis using complete linkage by Pearson's correlation. Analysis of CLL in PB samples (n = 63) discovered three major clusters. One cluster (14 patients) was skewed toward "atypical" CLL and was characterized by high CD20, CD22, FMC7, and light chain, and low CD23. The remaining two clusters consisted almost entirely (48/49) of cases recorded as typical BCLL. The smaller "typical" BCLL cluster differed from the larger cluster by high CD38 (P = 0.001), low CD20 (P = 0.001), and low CD23 (P = 0.016). These two typical BCLL clusters showed a trend toward a difference in survival (P = 0.1090). Statistically significant cluster stability was demonstrated by expanding the dataset to include BM samples, and by using a method of random sampling with replacement. CONCLUSIONS: This study supports the concept that unsupervised immunophenotypic profiling of FCM data can yield reproducible subtypes of lymphoma/chronic leukemia. Expanded studies are warranted in the use of FCM as an unsupervised class discovery tool, akin to other proteomic methods, rather than as a validation tool.

ADP-ribosyl Cyclase 1↗

Proteomic analysis of a developmentally regulated secretory vesicle.

Secretion of spore coat proteins from the prespore secretory vesicles (PSVs) in Dictyostelium discoideum is a signal mediated event that underlies terminal cell differentiation, and represents an important case of developmentally regulated secretion. In order to study the biochemical mechanisms that govern the regulated fusion of the PSVs with the plasma membrane and the subsequent secretion of their cargo, we purified this organelle from prespore cells. Analysis of protein extracts of highly purified PSVs indicated that, in addition to the cargo of structural spore coat proteins, many more proteins are associated with the PSVs. Their identification is paramount to the understanding of the mechanism of regulated secretion in this system. In this study we have taken the first comprehensive proteomic approach to the analysis of an entire, previously uncharacterized, organelle, with the goal of identifying the major proteins associated with the PSVs. We show that in addition to the structural spore coat proteins, the PSVs contain the enzymes needed for proper spore coat assembly (thioredoxin 2 and 3), regulatory proteins which we predict receive and transduce the developmental signal for secretion (rab7 GTPase, PI-3 kinase, NDP kinase and the calcium binding proteins calfumirin-1 and calreticulin) as well as proteins that interact with the cytoskeleton to mediate movement of the PSVs to the plasma membrane (actin binding proteins coactosin and profilin 1). In addition, the results suggest that proteins can play multiple roles in the cell, and that protein function can be dictated in part by subcellular localization. The identification of the PSV proteins is allowing us to develop testable hypotheses about the roles of these proteins within the functional context of developmentally regulated secretion.

Animals↗

A proteomic analysis of adult rat bone reveals the presence of cartilage/chondrocyte markers.

The non-mineral component of bone matrix consists of 90% collagenous, 10% non-collagenous proteins. These proteins regulate mineralization, growth, cell signaling and differentiation, and provide bone with its tensile strength. Expression of bone matrix proteins have historically been studied individually or in small numbers owing to limitations in analytical technologies. Current mass-spectrometric and separations technologies allow a global view of protein expression patterns in complex samples. To our knowledge, no proteome profile of bone matrix has yet been reported. Therefore, we have used mass spectrometry as a tool to generate a profile of proteins present in the extracellular matrix of adult rat bone. Overall, 108 and 25 proteins were identified with high confidence in the metaphysis and diaphysis, respectively, using a bottom up proteomic technique. Twenty-one of these proteins were present in both the metaphysis and diaphysis including the bone specific proteins, osteocalcin, type I collagen, osteopontin, osteoregulin, and bone sialoprotein. Interestingly, type II collagen, a protein thought to be exclusively expressed in cartilage, was identified in both the metaphysis and diaphysis. This observation was validated by Western blot. Additionally, the presence of aggrecan, another protein expressed in cartilage was identified in the bone matrix extracts by Western blot. The proteome profile generated using this technology represents an initial survey of the acid soluble proteins of bone matrix which provides a reference for the analysis of deviations from the normal composition due to perturbations or disease states.

Aggrecans↗

Plant plasma membrane protein extraction and solubilization for proteomic analysis.

The plasma membrane (PM) exists as the interface between the cytosol and the environment in all living cells and is one of the most complex and differentiated membrane. The identification and characterization of membrane proteins (either extrinsic or intrinsic) is a crucial challenge since many of these proteins are involved in essential cellular functions such as cell signaling, osmoregulation, nutrition, and metabolism. Methods to isolate PM fractions vary according to organisms, tissues, and cell type. This chapter emphasizes isolation, from the model plant Arabidopsis thaliana, of PM fractions from a microsomal membrane fraction by two-phase partitioning, a methodology that utilizes the different surface properties of membranes. PM proteins that do not span the lipid bilayer are generally well recovered after 2D gel electrophoresis. By contrast, the recovery of transmembrane proteins requires first the depletion of the PM fraction from soluble proteins, being either cytosolic contaminants or functionally associated proteins, and second, to the use of specific solubilization procedures. This chapter presents protocols to strip PM based on alkaline treatment of membranes and to solubilize hydrophobic proteins to increase their recovery on 2D gels. Aquaporins that are highly hydrophobic proteins are used to probe the relevance of the procedures.

Aquaporins↗

Global proteomic analysis of microdissected cirrhotic nodules reveals significant biomarkers associated with clonal expansion.

Cirrhosis is a heterogeneous tissue composed of polyclonal regenerative and monoclonal neoplastic, potentially malignant nodules from which hepatocellular carcinoma (HCC) might develop. The aim of this study was to investigate proteomic profile changes associated with clonal expansion of cirrhotic nodules and malignant transformation of monoclonal nodules. Seventy-one cirrhotic nodules from 10 female patients with six HCC were dissected from liver surgical specimen by laser capture microdissection. Clonal status of each nodule was assessed by the study of X-chromosome inactivation pattern using the human androgen receptor. Protein profiles were determined by surface-enhanced laser desorption ionisation-time-of-flight technology using Q10 arrays (Cyphergen ProteinChip). Molecular weight of differentially expressed protein peaks was assessed. An average of 50 protein peaks was obtained for each nodule's profile. Comparison of protein profiles in polyclonal (n=45) and monoclonal cirrhotic nodules (n=26) identified three differentially expressed protein peaks (10,092, 54,025 and 62,133 Da). All were upregulated in monoclonal nodules. Twelve peaks were differentially expressed between monoclonal nodules and HCC with nine proteins upregulated in cancer samples. This study confirms that proteome analysis can be achieved from a limited number of microdissected cells, and provides further insight into the process of clonal expansion and malignant transformation of cirrhotic nodules.

Adult↗

Comparative proteomic analysis of hypoxia-treated and untreated human leukemic U937 cells.

We reported recently that moderate hypoxia and hypoxia-mimetic agents could induce growth arrest and differentiation of leukemic cells via the mediation of hypoxia-inducible factor 1 alpha (HIF-1alpha), but the exact molecular mechanisms remain largely unknown. In this study, human acute promonocytic leukemic U937 cells were incubated under 2% O2 or in 50 microM of the hypoxia mimetic agent cobalt chloride (CoCl2) and normal oxygen for 24 h, and their protein expression profiles were compared by 2-DE coupled with MALDI-TOF/TOF MS/MS. We identified 62 and 16 proteins that were significantly deregulated by hypoxia and CoCl2 treatment, respectively. These proteins were mainly involved in metabolism, gene expression regulation, signal transduction, cell proliferation, differentiation and apoptosis. As an example, N-myc downstream regulated gene 1 (NDRG1), a putative differentiation-related gene, was up-regulated in both 2% O2- and CoCl2-treated U937 cells. Moreover, enforced HIF-1alpha expression also elevated NDRG1 mRNA and protein in U937 cells. These data will provide some clues for understanding mechanisms by which leukemic cells response to hypoxia.

Apoptosis↗

[Identification of biomarkers and therapeutic targets for renal cell cancer using ProteinChip technology].

In order to understand tumour biology in its complexity, it is necessary to investigate the proteomics in addition to the DNA and RNA level. SELDI-TOF-MS represents a new technology allowing a highly sensitive high-throughput analysis to detect specific protein profiles. In renal cancer, it was possible to define specific protein patterns in serum. Several proteins have been identified, i.e. serum amyloid alpha (SAA). Analysis of tumour tissues leads to a better understanding of tumour biology and provides the basis for differential classification and evaluation of prognosis. Investigation of the proteome concerning therapy results opens up the possibility of assessing downstream effects on the one hand and identifying biomarkers for selection of patients and therapy monitoring on the other hand. This review presents the first results for renal cancer.

Carcinoma, Renal Cell↗

Cross-matching marsupial proteins with eutherian mammal databases: proteome analysis of cells from UV-induced skin tumours of an opossum (Monodelphis domestica).

The identification and characterisation of Monodelphis proteins has required cross-species analysis. Protein expression was investigated in normal, nonirradiated adult fibroblasts and also in fibroblastic cells from a benign cutaneous tumour after chronic ultraviolet (UVB) exposure and a metastatic cutaneous tumour after intermittent exposure. Proteins were separated and visualised by two-dimensional gel electrophoresis (2-D PAGE) and a peptide mass fingerprint (PMF) was obtained for protein spots using matrix assisted laser desorption/ionisation-time of flight-mass spectrometry (MALDITOF-MS). Cross-species PMF database analysis facilitated the identification of 120 proteins, constituting 46.5% of the proteins analysed. The identification of two proteins was confirmed by internal amino acid sequencing using tandem MS. Differential protein expression was observed between normal fibroblasts and those in tumours chronically or intermittently exposed. A number of tropomyosin and vimentin isoforms were expressed only in cells from the metastatic tumour induced by intermittent exposure to UV radiation. These results highlight the value of cross-species PMF analysis for the rapid characterisation of proteins from a poorly defined species and also show how proteomics can be used to detect changes in protein expression in differentially treated cells.

Animals↗

Differential expression profiling of human pancreatic adenocarcinoma and healthy pancreatic tissue.

Due to poor prognosis and lack of effective treatment, pancreatic carcinoma (PC) is a devastating disease. With the goal of contributing to an improved detection, prevention and treatment of the disease, a comparative proteome analysis of PC and normal tissue was carried out. Paired tissue extracts from 12 patients (pancreatic adenocarcinoma and adjacent healthy tissue) were separated by two-dimensional electrophoresis. Differential protein expression was analyzed by gel comparison with the help of image analysis software. The differentially expressed spots were identified by matrix-assisted laser desorption/ionization-time of flight mass spectrometry. Seventy proteins were more strongly expressed (mostly two-fold or more) in cancerous tissue, while 41 were stronger in normal pancreas respectively. Those spots highly expressed in PC were confirmed in gels from independent individual samples. Among them were several cytoskeletal proteins, small GTP-binding proteins, and members of the S100 protein family etc. Nine proteins had been reported in previous nuclear acid-based studies. The levels of two proteins were confirmed by immunohistochemistry. One of them, fascin, was detected in 13 out of 21 carcinoma and negative in all normal pancreas samples. Moreover, fascin expression was related to the differentiation of pancreatic carcinoma.

Adenocarcinoma↗

Proteomic characterization of oxidative dysfunction in human umbilical vein endothelial cells (HUVEC) induced by exposure to oxidized LDL.

The oxidative modification of low-density lipoprotein (LDL) and subsequent alteration of endothelial cell function are generally accepted as an important early event in the pathogenesis of atherosclerosis. To understand the mechanism by which oxidized LDL (oxLDL) causes dysfunction in endothelial cells, human umbilical vein endothelial cells (HUVEC) were exposed to oxLDL at a concentration that induces cellular dysfunction, and proteomic analysis was carried out, together with the analysis of cellular lipid peroxidation products. Time-dependent accumulation of 7-ketocholesterol and the progression of oxidative modification of peroxiredoxin 2 were observed, together with the suppression of cell proliferation. Proteomic analysis using two-dimensional gel electrophoresis (2-D gel) revealed that nucleophosmin, stathmin, and nucleolin were differentially expressed after exposure to oxLDL. Both 2-D gel and western blot analyses revealed that (1) nucleophosmin was dephosphorylated in a time-dependent manner; (2) stathmin was transiently phosphorylated at 6 h, and the unphosphorylated form was continuously down-regulated; and (3) nucleolin was identified as a 20-kDa fragment and a 76-kDa form, which were down-regulated. These observations suggest that the exposure of HUVEC to oxLDL results in the suppression of cell proliferation, which is ascribed to protein modification and/or altered expression of nucleophosmin, stathmin, and nucleolin under these oxidative stress conditions.

Cell Count↗

Proteomic analysis of opsins and thyroid hormone-induced retinal development using isotope-coded affinity tags (ICAT) and mass spectrometry.

PURPOSE: Analyses that reveal the relative abundance of proteins are informative in elucidating mechanisms of retinal development and disease progression. However, popular high-throughput proteomic methods do not reliably detect opsin protein abundance, which serve as markers of photoreceptor differentiation. We utilized thyroid-hormone (TH) treatment of rainbow trout (Oncorhynchus mykiss) as a model of cone apoptosis and cone regeneration. We used this model to investigate if emerging proteomic technology allows effective analysis of retinal development and opsin protein abundance. We also sought to begin a characterization of proteomic changes in the retina occurring with TH treatment and address whether TH affects proliferation or photoreceptor differentiation. METHODS: Retinal homogenates were prepared from control and TH-treated fish. Peptides from control and treated homogenates were differentially labeled, using isotope-code affinity tags (ICAT) and analyzed using capillary liquid chromatography-electrospray ionization-tandem mass spectrometry (capLC-ESI-MS/MS). This method identifies proteins and quantifies their relative abundance between two samples. RESULTS: The relative abundance of many retinal proteins changed during TH treatment. These included proteins from every functional class. We detected 1,684 different peptides, and our quantification suggests that 94 increased and 146 decreased in abundance more than 50% during TH treatment. Cell-cycle proteins appear to be increased, consistent with TH-inducing cell proliferation, similar to its effect in Xenopus. Other proteins associated with retinal development, such as deltaA and tubulins, changed in abundance during TH treatment. Rod opsin and three cone opsins were identified and the relative abundance of each changed with TH treatment. CONCLUSIONS: ICAT and capLC-ESI-MS/MS are an effective complement to other molecular approaches that investigate the mechanisms of retinal development. Unlike other proteomic techniques, this approach does not require development of species- or tissue-specific methodology, such as characterizing two dimensional (2D) gels or antibodies, in order to be practical as a high-throughput approach. Importantly, this technology was able to assess the relative abundance of opsin proteins. These findings represent the first high-throughput proteomic analysis of the retina and demonstrate the technique's ability to provide useful information in retinal development.

Animals↗

Identification of the regulatory proteins in human pancreatic cancers treated with Trichostatin A by 2D-PAGE maps and multivariate statistical analysis.

In this paper, principal component analysis (PCA) is applied to a spot quantity dataset comprising 435 spots detected in 18 samples belonging to two different cell lines (Paca44 and T3M4) of control (untreated) and drug-treated pancreatic ductal carcinoma cells. The aim of the study was the identification of the differences occurring between the proteomic patterns of the two investigated cell lines and the evaluation of the effect of the drug Trichostatin A on the protein content of the cells. PCA turned out to be a successful tool for the identification of the classes of samples present in the dataset. Moreover, the loadings analysis allowed the identification of the differentially expressed spots, which characterise each group of samples. The treatment of both the cell lines with Trichostatin A therefore showed an appreciable effect on the proteomic pattern of the treated samples. Identification of some of the most relevant spots was also performed by mass spectrometry.

Analysis of Variance↗

Functional study of hot pepper 26S proteasome subunit RPN7 induced by Tobacco mosaic virus from nuclear proteome analysis.

Two-dimensional gel electrophoresis (2-DE) was applied for the screening of Tobacco mosaic virus (TMV)-induced hot pepper (Capsicum annuum cv. Bugang) nuclear proteins. From differentially expressed protein spots, we acquired the matched peptide mass fingerprint (PMF) data, analyzed by MALDI-TOF MS, from the non-redundant hot pepper EST protein FASTA database using the VEMS 2.0 software. Among six identified nuclear proteins, the hot pepper 26S proteasome subunit RPN7 (CaRPN7) was subjected to further study. The level of CaRPN7 mRNA was specifically increased during incompatible TMV-P(0) interaction, but not during compatible TMV-P(1.2) interaction. When CaRPN7::GFP fusion protein was targeted in onion cells, the nuclei had been broken into pieces. In the hot pepper leaves, cell death was exacerbated and genomic DNA laddering was induced by Agrobacterium-mediated transient overexpression of CaPRN7. Thus, this report presents that the TMV-induced CaRPN7 may be involved in programmed cell death (PCD) in the hot pepper plant.

Amino Acid Sequence↗