RESUMO
In Swiss 3T3 fibroblasts, long-term stimulation with PDGF, but not insulin-like growth factor 1 (IGF-1) or EGF, results in the establishment of an elongated migratory phenotype, characterized by the formation of retractile dendritic protrusions and absence of actin stress fibers and focal adhesion complexes. To identify receptor tyrosine kinase-specific reorganization of the Swiss 3T3 proteome during phenotypic differentiation, we compared changes in the pattern of protein synthesis and phosphorylation during long-term exposure to PDGF, IGF-1, EGF, and their combinations using 2DE-based proteomics after (35)S- and (33)P-metabolic labeling. One hundred and five differentially regulated proteins were identified by mass spectrometry and some of these extensively validated. PDGF stimulation produced the highest overall rate of protein synthesis at any given time and induced the most sustained phospho-signaling. Simultaneous activation with two or three of the growth factors revealed both synergistic and antagonistic effects on protein synthesis and expression levels with PDGF showing dominance over both IGF-1 and EGF in generating distinct proteome compositions. Using signaling pathway inhibitors, PI3K was identified as an early site for signal diversification, with sustained activity of the PI3K/AKT pathway critical for regulating late protein synthesis and phosphorylation of target proteins and required for maintaining the PDGF-dependent motile phenotype. Several proteins were identified with novel PI3K/Akt-dependent synthesis and phosphorylations including eEF2, PRS7, RACK-1, acidic calponin, NAP1L1, Hsp73, and fascin. The data also reveal induction/suppression of key F-actin and actomyosin regulators and chaperonins that enable PDGFR to direct the assembly of a motile cytoskeleton, despite simultaneous antagonistic signaling activities. Together, the study demonstrates that long-term exposure to different growth factors results in receptor tyrosine kinase-specific regulation of relatively small subproteomes, and implies that the strength and longevity of receptor tyrosine kinase-specific signals are critical in defining the composition and functional activity of the resulting proteome.
Assuntos
Fator de Crescimento Epidérmico/farmacologia , Fator de Crescimento Insulin-Like I/farmacologia , Fosfatidilinositol 3-Quinases/metabolismo , Fator de Crescimento Derivado de Plaquetas/farmacologia , Proteoma/análise , Células 3T3 , Animais , Benzamidas/farmacologia , Proteínas Quinases Dependentes de Cálcio-Calmodulina/antagonistas & inibidores , Linhagem Celular , Cromonas/farmacologia , Inibidores Enzimáticos/farmacologia , Fibroblastos , Flavonoides/farmacologia , Marcação por Isótopo , Camundongos , Morfolinas/farmacologia , Proteína 1 de Modelagem do Nucleossomo/metabolismo , Inibidores de Fosfoinositídeo-3 Quinase , Fosforilação/efeitos dos fármacos , Proteínas Proto-Oncogênicas c-akt/metabolismo , Receptores Proteína Tirosina Quinases/metabolismo , Receptores do Fator de Crescimento Derivado de Plaquetas/metabolismo , Transdução de Sinais/efeitos dos fármacosRESUMO
Protein phosphorylation is a central regulatory mechanism of cell signaling pathways. This highly controlled biochemical process is involved in most cellular functions, and defects in protein kinases and phosphatases have been implicated in many diseases, highlighting the importance of understanding phosphorylation-mediated signaling networks. However, phosphorylation is a transient modification, and phosphorylated proteins are often less abundant. Therefore, the large-scale identification and quantification of phosphoproteins and their phosphorylation sites under different conditions are one of the most interesting and challenging tasks in the field of proteomics. Both 2D gel electrophoresis and liquid chromatography-tandem mass spectrometry serve as key phosphoproteomic technologies in combination with prefractionation, such as enrichment of phosphorylated proteins/peptides. Recently, new possibilities for quantitative phosphoproteomic analysis have been offered by technical advances in sample preparation, enrichment, separation, instrumentation, quantification and informatics. In this article, we present an overview of several strategies for quantitative phosphoproteomics and discuss how phosphoproteomic analysis can help to elucidate signaling pathways that regulate various cellular processes.
Assuntos
Fosfoproteínas/análise , Proteínas Quinases/metabolismo , Proteômica/métodos , Animais , Eletroforese em Gel Bidimensional , Estudos de Avaliação como Assunto , Perfilação da Expressão Gênica , Humanos , Camundongos , Proteínas Quinases/genética , Transdução de Sinais , Espectrometria de Massas em Tandem/métodosRESUMO
Here, we report for the first time a comparative phosphoproteomic analysis of distinct tumor cell lines in the presence or absence of the microtubule-interfering agent nocodazole. In total, 1525 phosphorylation sites assigned to 726 phosphoproteins were identified using LC-MS-based technology following phosphopeptide enrichment. Analysis of the amino acid composition surrounding the identified in vivo phosphorylation sites revealed that they could be classified into two motif groups: pSer-Pro and pSer-Asp/Glu. Phosphoproteomic change resulting from nocodazole treatment varied among cell lines in terms of the numbers of total phosphopeptides identified, motif groups, and functional annotation groups; however, the cell lines were equally sensitive to nocodazole. The identified phosphoproteome subset contained major signaling proteins and proteins known to be involved in mitosis, but did not always exhibit the same changes in the tumor cells from nocodazole treatment. In spite of the complex changes observed in the phosphorylation of many of the proteins, possible common features induced by nocodazole were found, including phosphorylation of nucleophosmin (NPM) S254 and coatomer protein complex, subunit alpha (COPA) S173, suggesting that the events are not cell-type specific but events generally occurring in mitosis or induced by a microtubule-interfering agent. Further, temporal analysis of phosphoproteome change revealed that phosphorylation of NPM S254 and COPA S173 was observed from the early (6 h) and late (24 h) time point after nocodazole treatment, respectively, suggesting that NPM S254 may be involved in the induction of M-phase arrest by nocodazole, whereas COPA S173 may be caused as a result of M-phase arrest.
Assuntos
Regulação Neoplásica da Expressão Gênica/efeitos dos fármacos , Proteínas de Neoplasias/análise , Nocodazol/farmacologia , Fosfoproteínas/análise , Sequência de Aminoácidos , Linhagem Celular Tumoral , Cromatografia Líquida , Células HCT116 , Células HeLa , Humanos , Espectrometria de Massas , Mitose , Dados de Sequência Molecular , Proteínas de Neoplasias/genética , Proteínas de Neoplasias/metabolismo , Fosfoproteínas/metabolismo , Fosforilação , Estrutura Terciária de Proteína , Proteômica , Transdução de Sinais , Fatores de TempoRESUMO
Embryonic stem cells (ESCs) can give rise to any adult cell type and thus offer enormous potential for regenerative medicine and drug discovery. Molecular biomarkers serve as valuable tools to classify and isolate ESCs and to monitor their differentiation state by antibody-based techniques. A number of biomarkers, such as certain cell surface antigens, are used to assign pluripotent ESCs; however, accumulating evidence suggests that ESCs are heterogeneous in morphology, phenotype and function, and are thereby classified into subpopulations characterized by multiple sets of molecular biomarkers. Biomarker discovery is also important for ESC biology to elucidate the molecular mechanisms that regulate pluripotency and differentiation. This review summarizes studies of ESC biomarker discovery. "Genome-wide" expression profiling of ESC mRNAs and proteins and direct analyses of the cell surface subproteome have demonstrated that ESCs express a diverse range of biomarkers, cell surface antigens, and signaling molecules found in different cell lineages, as well as a number of key molecules that assure "stemness". Clearly, future quantitative proteomics approaches will enhance our knowledge of the stage- and lineage-specific expression of the proteome and its temporal changes upon differentiation, and provide a more detailed view of nascent and clonally amplified ESCs.
Assuntos
Biomarcadores/análise , Células-Tronco Embrionárias/metabolismo , Proteínas de Membrana/análise , Proteômica/métodos , Animais , Células-Tronco Embrionárias/citologia , Genômica/métodos , Humanos , Proteínas de Membrana/genética , Modelos BiológicosRESUMO
Protein expression and de novo synthesis in normal and prostate cancer cell lines derived from the same patient were compared by proteomic analysis, and the effects of INFalpha and INFgamma (INF=interferon) determined. The expressions of several INF-inducible proteins, including MxA, Nmi, PA28a and IFP53, were downregulated in the cancer cells. INFgamma induced a more than twofold increase or decrease in the synthesis rates of almost twice as many proteins in the cancer cell line. The positive regulator of INF-induced transcription ISGF3gamma was upregulated in the cancer cells and inversely regulated by INFalpha and INFgamma in the normal and cancer cells. Moreover, ISGF3gamma's induction by INFgamma in the cancer cells was more enhanced by simultaneous stimulation with EGF, than its induction in the normal cells. In all, 31 differentially regulated proteins were identified by mass spectrometry analysis, several of which are involved in chaperone-assisted protein folding in the endoplasmic reticulum (ER) or in regulated protein degradation. Our results suggest that the exclusion of proteins by the ER quality control system, crosstalk between the EGF- and INF-induced signalling pathways and the regulation of INF-inducible genes are all altered in the prostate cancer cells. The combination of upregulated activity in the growth-promoting PI3K/Akt pathway, suppression of Nmi and overexpression of hnRNP-K and c-myc proteins may explain why the prostate cancer cells were found to be more resistant to the growth inhibitory effects of INFgamma.
Assuntos
Perfilação da Expressão Gênica , Regulação Neoplásica da Expressão Gênica/efeitos dos fármacos , Interferon-alfa/farmacologia , Interferon gama/farmacologia , Peptídeos e Proteínas de Sinalização Intracelular , Próstata/metabolismo , Neoplasias da Próstata/metabolismo , Proteoma/biossíntese , Proteínas de Transporte/metabolismo , Divisão Celular/efeitos dos fármacos , Linhagem Celular , Linhagem Celular Tumoral , Proteínas de Ligação a DNA/biossíntese , Eletroforese em Gel Bidimensional , Fator de Crescimento Epidérmico/farmacologia , Proteínas de Ligação ao GTP/biossíntese , Ribonucleoproteínas Nucleares Heterogêneas Grupo K/biossíntese , Humanos , Fator Gênico 3 Estimulado por Interferon , Fator Gênico 3 Estimulado por Interferon, Subunidade gama , Masculino , Proteínas Quinases Ativadas por Mitógeno/metabolismo , Proteínas de Resistência a Myxovirus , Fosfatidilinositol 3-Quinases/metabolismo , Fosforilação/efeitos dos fármacos , Próstata/citologia , Próstata/patologia , Neoplasias da Próstata/enzimologia , Neoplasias da Próstata/patologia , Transdução de Sinais/efeitos dos fármacos , Espectrometria de Massas por Ionização por Electrospray , Espectrometria de Massas por Ionização e Dessorção a Laser Assistida por Matriz , Fatores de Transcrição/biossínteseRESUMO
We performed here MS-based cell surface proteome profiling of HCT-116 cells by two distinct methods based on biotin labeling and glycoprotein capturing. In total, 742 biotinylated and 219 glycosylated proteins were identified by the biotin labeling and glycoprotein capturing, of which 224 and 138 proteins known to be located on plasma membrane were included, respectively, according to ingenuity pathway analysis. Although 104 plasma membrane proteins were identified by both methods, the rest of 154 were identified only by one. Almost all the identified plasma membrane proteins possessed consensus N-glycosylation sites, and proteins having various numbers of glycosylation sites were identified by both methods. Thus, the discrepancies of the identified proteins obtained from those two methods might not be only due to the number of glycosylation sites, but also to the expression and/or glycosylation level of the cell surface proteins. We also identified 312 N-glycosylated proteins from xenograft samples by glycoprotein capturing of which 135 were known as plasma membrane proteins. Although a number of highly-expressed plasma membrane proteins were common between culture and xenograft cells, some proteins showed culture- or xenograft-specific expression, suggesting that those proteins might contribute to grow in different environment.
Assuntos
Biotinilação/métodos , Proteínas de Membrana/análise , Proteômica/métodos , Animais , Cromatografia Líquida , Glicoproteínas/metabolismo , Glicosilação , Células HCT116 , Humanos , Camundongos , Espectrometria de Massas em Tandem , Transplante HeterólogoRESUMO
We performed here MS-based phosphoproteomics using both metal oxide affinity chromatography (pSTY proteomics) and anti-phosphotyrosine antibody (pY proteomics). The former method identified mainly phospho-serine and -threonine of nuclear or cytoplasmic proteins, whereas the latter did phosphotyrosine including more plasma membrane proteins and kinases. The overlap between these two methods was limited (24 tyrosine phosphorylation sites out of 325) and, by combining the two, coverage of the signaling molecules was enhanced as exemplified by Erk signaling. We also performed whole cell proteomics using an off-gel fractionator, and found 68.9% of the proteins identified by phosphoproteomics. Thus, the expression levels of phosphoproteins were roughly estimated. In addition to many uncharacterized phosphorylation sites, the dataset includes 136 sites that were experimentally verified elsewhere to be phosphorylated by a total of 83 kinases and kinase groups out of the 256 registered in the Phospho.ELM database. With the integration of various proteomic analyses and information from database, the responsible kinases of the identified phosphorylation sites and possibly their activity status were predicted by phosphorylation status and expression levels of their substrates, and thus our method may be able to monitor the activity status of phosphorylation signaling.
Assuntos
Proteômica/métodos , Sítios de Ligação , Linhagem Celular Tumoral , Membrana Celular/metabolismo , Bases de Dados de Proteínas , Humanos , Espectrometria de Massas/métodos , Metais/química , Óxidos/química , Fosforilação , Fosfotirosina/química , Proteoma , Transdução de Sinais , Tripsina/química , Tirosina/químicaAssuntos
Isoenzimas/genética , Isoenzimas/fisiologia , Fosfolipases Tipo C/genética , Fosfolipases Tipo C/fisiologia , Reação Acrossômica , Processamento Alternativo , Animais , Western Blotting , Cálcio/metabolismo , Fertilização , Genoma , Genótipo , Humanos , Imuno-Histoquímica , Hibridização in Situ Fluorescente , Camundongos , Camundongos Knockout , Camundongos Transgênicos , Modelos Biológicos , Modelos Genéticos , Oscilometria , Fosfolipase C delta , Filogenia , Reação em Cadeia da Polimerase , Isoformas de Proteínas , Estrutura Terciária de Proteína , Fatores de Tempo , Distribuição TecidualAssuntos
Antígenos de Neoplasias/análise , Biomarcadores Tumorais/análise , Proteínas de Neoplasias/análise , Neoplasias da Próstata/química , Proteômica , Eletroforese em Gel Bidimensional/métodos , Perfilação da Expressão Gênica , Regulação Neoplásica da Expressão Gênica , Humanos , Masculino , RNA Mensageiro/análise , Transdução de Sinais , Espectrometria de Massas por Ionização e Dessorção a Laser Assistida por Matriz/métodosRESUMO
We developed a software program (titled Precursor Ion Calibration software for LTQ or, in short, PICsL) that increases the reliability of precursor ion assignations from LC-MS analysis using ultra zoom scanning of LTQ linear ion trap MS and automatically corrects the assignations. Although existing software calculates the theoretical isotopic distribution according to m/z with a computational algorithm, our method simply searches for ions close to the theoretical mass value using both MS/MS raw data and Mascot search result files, followed by a second database search that identifies the proteins using the regenerated peak list files. Our software program mimics the manual inspection of the spectral data of precursor ions and is expected to be applicable not only for low resolution MS, such as LTQ, but also for a wide variety of MS instruments.
Assuntos
Íons/análise , Espectrometria de Massas/métodos , Software , Algoritmos , Cromatografia Líquida , Isótopos/análiseRESUMO
PDGF is a potent chemotactic mitogen and a strong inductor of fibroblast motility. In Swiss 3T3 fibroblasts, exposure to PDGF but not EGF or IGF-1 causes a rapid loss of actin stress fibers (SFs) and focal adhesions (FAs), which is followed by the development of retractile dendritic protrusions and induction of motility. The PDGF-specific actin reorganization was blocked by inhibition of Src-kinase and the 26S proteasome. PDGF induced Src-dependent association between the multifunctional transcription/translation regulator hnRNP-K and the mRNA-encoding myosin regulatory light-chain (MRLC)-interacting protein (MIR), a E(3)-ubiquitin ligase that is MRLC specific. This in turn rapidly increased MIR expression, and led to ubiquitination and proteasome-mediated degradation of MRLC. Downregulation of MIR by RNA muting prevented the reorganization of actin structures and severely reduced the migratory and wound-healing potential of PDGF-treated cells. The results show that activation of MIR and the resulting removal of diphosphorylated MRLC are essential for PDGF to instigate and maintain control over the actin-myosin-based contractile system in Swiss 3T3 fibroblasts. The PDGF induced protein destabilization through the regulation of hnRNP-K controlled ubiquitin -ligase translation identifies a novel pathway by which external stimuli can regulate phenotypic development through rapid, organelle-specific changes in the activity and stability of cytoskeletal regulators.
Assuntos
Actinas/efeitos dos fármacos , Citoesqueleto/efeitos dos fármacos , Ribonucleoproteínas Nucleares Heterogêneas Grupo K/metabolismo , Fator de Crescimento Derivado de Plaquetas/farmacologia , Ubiquitina-Proteína Ligases/metabolismo , Citoesqueleto de Actina/efeitos dos fármacos , Citoesqueleto de Actina/metabolismo , Actinas/metabolismo , Animais , Movimento Celular , Citoesqueleto/metabolismo , Citoesqueleto/ultraestrutura , Regulação para Baixo , Ativação Enzimática , Fator de Crescimento Epidérmico/farmacologia , Fibroblastos/efeitos dos fármacos , Fibroblastos/fisiologia , Fibroblastos/ultraestrutura , Fator de Crescimento Insulin-Like I/farmacologia , Camundongos , Cadeias Leves de Miosina/metabolismo , Complexo de Endopeptidases do Proteassoma , Inibidores de Proteassoma , RNA Interferente Pequeno/genética , RNA Interferente Pequeno/farmacologia , Células Swiss 3T3 , Ubiquitina-Proteína Ligases/antagonistas & inibidores , Ubiquitina-Proteína Ligases/genética , Quinases da Família src/antagonistas & inibidoresRESUMO
A protein subset expressed in the mouse embryonic stem (ES) cell line, E14-1, was characterized by mass spectrometry-based protein identification technology and data analysis. In total, 1790 proteins including 365 potential nuclear and 260 membrane proteins were identified from tryptic digests of total cell lysates. The subset contained a variety of proteins in terms of physicochemical characteristics, subcellular localization, and biological function as defined by Gene Ontology annotation groups. In addition to many housekeeping proteins found in common with other cell types, the subset contained a group of regulatory proteins that may determine unique ES cell functions. We identified 39 transcription factors including Oct-3/4, Sox-2, and undifferentiated embryonic cell transcription factor I, which are characteristic of ES cells, 88 plasma membrane proteins including cell surface markers such as CD9 and CD81, 44 potential proteinaceous ligands for cell surface receptors including growth factors, cytokines, and hormones, and 100 cell signaling molecules. The subset also contained the products of 60 ES-specific and 41 stemness genes defined previously by the DNA microarray analysis of Ramalho-Santos et al. (Ramalho-Santos et al., Science 2002, 298, 597-600), as well as a number of components characteristic of differentiated cell types such as hematopoietic and neural cells. We also identified potential post-translational modifications in a number of ES cell proteins including five Lys acetylation sites and a single phosphorylation site. To our knowledge, this study provides the largest proteomic dataset characterized to date for a single mammalian cell species, and serves as a basic catalogue of a major proteomic subset that is expressed in mouse ES cells.
Assuntos
Proteoma/análise , Células-Tronco/fisiologia , Animais , Linhagem Celular , Embrião de Mamíferos , Regulação da Expressão Gênica , Humanos , Espectrometria de Massas , Camundongos , Dados de Sequência Molecular , Análise Serial de Proteínas , Processamento de Proteína Pós-Traducional , Células-Tronco/citologia , Fatores de Transcrição/análiseRESUMO
Although interactions between cell surface proteins and extracellular ligands are key to initiating embryonic stem cell differentiation to specific cell lineages, the plasma membrane protein components of these cells are largely unknown. We describe here a group of proteins expressed on the surface of the undifferentiated mouse embryonic stem cell line D3. These proteins were identified using a combination of cell surface labeling with biotin, subcellular fractionation of plasma membranes, and mass spectrometry-based protein identification technology. From 965 unique peptides carrying biotin labels, we assigned 324 proteins including 235 proteins that have putative signal sequences and/or transmembrane segments. Receptors, transporters, and cell adhesion molecules were the major classes of proteins identified. Besides known cell surface markers of embryonic stem cells, such as alkaline phosphatase, the analysis identified 59 clusters of differentiation-related molecules and more than 80 components of multiple cell signaling pathways that are characteristic of a number of different cell lineages. We identified receptors for leukemia-inhibitory factor, interleukin 6, and bone morphogenetic protein, which play critical roles in the maintenance of undifferentiated mouse embryonic stem cells. We also identified receptors for growth factors/cytokines, such as fibroblast growth factor, platelet-derived growth factor, ephrin, Hedgehog, and Wnt, which transduce signals for cell differentiation and embryonic development. Finally we identified a variety of integrins, cell adhesion molecules, and matrix metalloproteases. These results suggest that D3 cells express diverse cell surface proteins that function to maintain pluripotency, enabling cells to respond to various external signals that initiate differentiation into a variety of cell types.