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1.
PLoS One ; 9(8): e104597, 2014.
Artigo em Inglês | MEDLINE | ID: mdl-25157689

RESUMO

Signal transducers and activators of transcription (STAT) proteins are key signalling molecules in metazoans, implicated in various cellular processes. Increased research in the field has resulted in the accumulation of STAT sequence and structure data, which are scattered across various public databases, missing extensive functional annotations, and prone to effort redundancy because of the dearth of community sharing. Therefore, there is a need to integrate the existing sequence, structure and functional data into a central repository, one that is enriched with annotations and provides a platform for community contributions. Herein, we present STATdb (publicly available at http://statdb.bic.nus.edu.sg/), the first integrated resource for STAT sequences comprising 1540 records representing the known STATome, enriched with existing structural and functional information from various databases and literature and including manual annotations. STATdb provides advanced features for data visualization, analysis and prediction, and community contributions. A key feature is a meta-predictor to characterise STAT sequences based on a novel classification that integrates STAT domain architecture, lineage and function. A curation policy workflow has been devised for regulated and structured community contributions, with an update policy for the seamless integration of new data and annotations.


Assuntos
Bases de Dados de Proteínas , Fatores de Transcrição STAT/química , Sequência de Aminoácidos , Animais , Humanos , Internet , Dados de Sequência Molecular , Fatores de Transcrição STAT/classificação , Integração de Sistemas
2.
PLoS One ; 7(3): e32777, 2012.
Artigo em Inglês | MEDLINE | ID: mdl-22412924

RESUMO

BACKGROUND: Lying downstream of a myriad of cytokine receptors, the Janus kinase (JAK)-Signal transducer and activator of transcription (STAT) pathway is pivotal for the development and function of the immune system, with additional important roles in other biological systems. To gain further insight into immune system evolution, we have performed a comprehensive bioinformatic analysis of the JAK-STAT pathway components, including the key negative regulators of this pathway, the SH2-domain containing tyrosine phosphatase (SHP), Protein inhibitors against Stats (PIAS), and Suppressor of cytokine signaling (SOCS) proteins across a diverse range of organisms. RESULTS: Our analysis has demonstrated significant expansion of JAK-STAT pathway components co-incident with the emergence of adaptive immunity, with whole genome duplication being the principal mechanism for generating this additional diversity. In contrast, expansion of upstream cytokine receptors appears to be a pivotal driver for the differential diversification of specific pathway components. CONCLUSION: Diversification of JAK-STAT pathway components during early vertebrate development occurred concurrently with a major expansion of upstream cytokine receptors and two rounds of whole genome duplications. This produced an intricate cell-cell communication system that has made a significant contribution to the evolution of the immune system, particularly the emergence of adaptive immunity.


Assuntos
Sistema Imunitário/metabolismo , Janus Quinases/metabolismo , Fatores de Transcrição STAT/metabolismo , Transdução de Sinais , Animais , Evolução Molecular , Humanos , Janus Quinases/classificação , Janus Quinases/genética , Modelos Biológicos , Filogenia , Proteínas Inibidoras de STAT Ativados/classificação , Proteínas Inibidoras de STAT Ativados/genética , Proteínas Inibidoras de STAT Ativados/metabolismo , Receptores Citoplasmáticos e Nucleares/classificação , Receptores Citoplasmáticos e Nucleares/genética , Receptores Citoplasmáticos e Nucleares/metabolismo , Fatores de Transcrição STAT/classificação , Fatores de Transcrição STAT/genética , Proteínas Supressoras da Sinalização de Citocina/classificação , Proteínas Supressoras da Sinalização de Citocina/genética , Proteínas Supressoras da Sinalização de Citocina/metabolismo , Sintenia
3.
Blood ; 110(7): 2593-9, 2007 Oct 01.
Artigo em Inglês | MEDLINE | ID: mdl-17595334

RESUMO

KIT is a tyrosine kinase receptor that is aberrantly activated in several neoplasms. In human pathologies, the most frequent mutation of KIT occurs at codon 816. The resulting KIT mutant protein is activated in the absence of ligand and is resistant to the clinically available inhibitors of KIT. In this report, we provide evidence for an essential function of the cytoplasmic tyrosine kinase FES downstream of KIT(D816V). FES is phosphorylated on tyrosine residues in cells that carry KIT(D816V) mutation, and this phosphorylation is KIT dependent. Reduction of FES expression using RNA interference results in decreased cell proliferation in human or murine cells harboring KIT(D816V) or the homologous mouse mutation KIT(D814Y). The reduced cell growth can be rescued using another cytokine (granulocyte-macrophage colony-stimulating factor [GM-CSF]) and is not observed when the closely related fer gene is targeted. Finally, signaling downstream of KIT(D816V) is altered in cells lacking FES expression. This study shows a major function of FES downstream of activated KIT receptor and thereby points to FES as a novel target in KIT-related pathologies.


Assuntos
Ácido Aspártico/metabolismo , Proteínas Proto-Oncogênicas c-fes/metabolismo , Proteínas Proto-Oncogênicas c-kit/metabolismo , Transdução de Sinais , Animais , Ácido Aspártico/genética , Linhagem Celular Tumoral , Proliferação de Células , Ativação Enzimática , Fase G1 , Humanos , Camundongos , Mutação/genética , Fosforilação , Proteínas Tirosina Quinases/metabolismo , Proteínas Proto-Oncogênicas c-fes/genética , Proteínas Proto-Oncogênicas c-kit/genética , Proteínas Quinases S6 Ribossômicas 70-kDa/genética , Proteínas Quinases S6 Ribossômicas 70-kDa/metabolismo , Fase S , Fatores de Transcrição STAT/classificação , Fatores de Transcrição STAT/genética , Fatores de Transcrição STAT/metabolismo
4.
Auton Neurosci ; 126-127: 93-9, 2006 Jun 30.
Artigo em Inglês | MEDLINE | ID: mdl-16730240

RESUMO

Epidemiological studies show that the obstructive sleep apnea syndrome (OSAS) is strongly associated with obesity, hypertension and diabetes, the three conditions characteristic of the metabolic syndrome. Since metabolic disorders usually involve altered homeostatic mechanisms both centrally and peripherally, it is likely that so it is in OSAS, but the underlying mechanisms remain largely unknown. We used an established rodent model to test whether chronic intermittent hypoxia (CIH) similar to that experienced by OSAS patients leads to distinct and relevant for metabolic regulation transcriptional changes in the posterior hypothalamus. Using quantitative reverse transcription-polymerase chain reaction, we found that rats exposed to CIH for 35 days (n=9) had twice higher levels of the adrenergic alpha2A receptor mRNA than the rats simultaneously submitted to a matching sham treatment (n=9). The mRNA levels of three members of the family of signal transducers and activators of transcription, STAT1, STAT3 and STAT5b, were also increased 2-4 times. The increases occurred only in the perifornical region, whereas no changes were detected in the ventromedial region comprising the ventromedial and arcuate nuclei or the dorsomedial region comprising the dorsomedial and paraventricular nuclei. These results show that, at least at the transcriptional level, CIH exerts a distinct and regionally selective central effect on the expression of selected mRNAs involved in metabolic regulation through adrenergic, leptinergic and inflammatory pathways.


Assuntos
Regulação da Expressão Gênica/fisiologia , Hipotálamo/metabolismo , Hipóxia/fisiopatologia , Receptores Adrenérgicos alfa 2/metabolismo , Fatores de Transcrição STAT/metabolismo , Transcrição Gênica/fisiologia , Animais , Hipóxia/patologia , Masculino , RNA Mensageiro/metabolismo , Ratos , Ratos Sprague-Dawley , Receptores Adrenérgicos alfa 2/genética , Reação em Cadeia da Polimerase Via Transcriptase Reversa/métodos , Fatores de Transcrição STAT/classificação , Fatores de Transcrição STAT/genética
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