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1.
FASEB J ; 34(12): 15701-15717, 2020 12.
Artigo em Inglês | MEDLINE | ID: mdl-33136328

RESUMO

While the involvement of protease-activated receptors (PARs) in the physiological regulation of human placenta development, as in tumor biology, is recognized, the molecular pathway is unknown. We evaluated the impact of PAR1 and PAR2 function in cytotrophoblast (CTB) proliferation and invasion in a system of extravillous trophoblast (EVT) organ culture and in human cell-lines. Activation of PAR1 - and PAR2 -induced EVT invasion and proliferation, while the shRNA silencing of low-density lipoprotein receptor-related protein 5/6 (LRP5/6) inhibited these processes. PAR1 and PAR2 effectively induce ß-catenin stabilization in a manner similar to that shown for the canonical ß-catenin stabilization pathway yet independent of Wnts. Immunoprecipitation analyses and protein-protein docking demonstrated the co-association between either PAR1 or PAR2 with LRP5/6 forming an axis of PAR-LRP5/6-Axin. Noticeably, in PAR1 -PAR2 heterodimers a dominant role is assigned to PAR2 over PAR1 as shown by inhibition of PAR1 -induced ß-catenin levels, and Dvl nuclear localization. This inhibition takes place either by shRNA silenced hPar2 or in the presence of a TrPAR2 devoid its cytoplasmic tail. Indeed, TrPAR2 cannot form the PAR1 -PAR2 complex, obstructing thereby the flow of signals downstream. Elucidation of the mechanism of PAR-induced invasion contributes to therapeutic options highlighting key partners in the process.


Assuntos
Proteína-5 Relacionada a Receptor de Lipoproteína de Baixa Densidade/metabolismo , Proteína-6 Relacionada a Receptor de Lipoproteína de Baixa Densidade/metabolismo , Placenta/metabolismo , Receptor PAR-1/metabolismo , Receptor PAR-2/metabolismo , Linhagem Celular , Células Cultivadas , Citoplasma/metabolismo , Feminino , Células HEK293 , Humanos , Placentação/fisiologia , Gravidez , RNA Interferente Pequeno/metabolismo , Transdução de Sinais/fisiologia , Trofoblastos/metabolismo , beta Catenina/metabolismo
2.
Environ Int ; 138: 105667, 2020 05.
Artigo em Inglês | MEDLINE | ID: mdl-32234679

RESUMO

Antibiotic or antimicrobial resistance (AR) facilitated by the vertical and/or horizontal transfer of antibiotic resistance genes (ARGs), is a serious global health challenge. While traditionally associated with pathogens in clinical environments, it is becoming increasingly clear that non-clinical environments may also be reservoirs of ARGs. The recent improvements in rapid and affordable next generation sequencing technologies along with sophisticated bioinformatics platforms has the potential to revolutionize diagnostic microbiology and microbial surveillance. Through the study and characterization of ARGs in bacterial genomes and complex metagenomes, we are now able to reveal the genetic scope of AR in single bacteria and complex communities, and obtain important insights into AR dynamics at species, population and community levels, providing novel epidemiological and ecological perspectives. A suite of bioinformatics pipelines and ARG databases are currently available for genomic and metagenomic data analyses. However, different platforms may significantly vary and therefore, it is crucial to choose the tools that are most suitable for the specific analysis being conducted. This review provides a detailed account of available bioinformatics platforms for identification and characterization of ARGs and associated genetic elements within single bacterial isolates and complex environmental samples. It focuses primarily on currently available ARG databases, employing a comprehensive benchmarking pipeline to identify ARGs in four bacterial genomes (Aeromonas salmonicida, Bacillus cereus, Burkholderia sp. and Escherichia coli) and three shotgun metagenomes (human gut, poultry litter and soil) providing insight into which databases should be used for different analytical scenarios.


Assuntos
Bactérias , Metagenoma , Antibacterianos/farmacologia , Bactérias/genética , Resistência Microbiana a Medicamentos/genética , Genes Bacterianos , Genoma Bacteriano , Humanos
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