Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 2 de 2
Filtrar
Mais filtros

Base de dados
Ano de publicação
Tipo de documento
Intervalo de ano de publicação
1.
Gene ; 723: 144126, 2020 Jan 10.
Artigo em Inglês | MEDLINE | ID: mdl-31589963

RESUMO

Non-coding RNAs are known to participate in cancer initiation, progression, and metastasis by regulating the status of chromatin epigenetics and gene expression. Although these non-coding RNAs do not possess defined protein-coding potential, they are involved in the expression and stability of messenger RNA (mRNA). The length of microRNAs (miRs) ranges between 20 and 22 nt, whereas, long non-coding RNAs (lncRNAs) length ranges between 200 nt to 1 Kb. In the case of circular RNAs (circRNAs), the size varies depending upon the length of the exon from where they were derived. Epigenetic regulations of miR and lncRNA genes will influence the gene expression by modulating histone acetylation and methylation patterns. Especially, lncRNAs will act as a scaffold for various epigenetic proteins, such as EZH2 and LSD1, and influence the chromatin epigenetic state at various genomic loci involved at silencing. Thus investigations on the expression of lncRNAs and designing drugs to modulate the expression of these genes will have a profound impact on future therapeutics against cancers such as Glioblastoma Multiforme (GBM) and also against various other diseases. With the recent advancements in genome-wide transcriptomic studies, scientists are focused on the non-coding RNAs and their regulations on various cellular processes involved in GBM and on other types of cancer as well as trying to understand possible epigenetic modulations that help in generating promising therapeutics for the future generations. In this review, the involvement of epigenetic proteins, enzymes that change chromatin architecture and epigenetic landscape and new roles of lncRNAs that are involved in GBM progression are elaborately discussed.


Assuntos
Neoplasias Encefálicas/tratamento farmacológico , Glioblastoma/tratamento farmacológico , MicroRNAs/genética , RNA Longo não Codificante/genética , Antineoplásicos/farmacologia , Antineoplásicos/uso terapêutico , Neoplasias Encefálicas/genética , Ensaios Clínicos como Assunto , Epigênese Genética/efeitos dos fármacos , Regulação Neoplásica da Expressão Gênica/efeitos dos fármacos , Redes Reguladoras de Genes/efeitos dos fármacos , Glioblastoma/genética , Humanos
2.
Int J Biol Macromol ; 146: 1087-1099, 2020 Mar 01.
Artigo em Inglês | MEDLINE | ID: mdl-31734364

RESUMO

Endocan known as a cardiovascular inflammatory biomarker, found to be elevated in atherosclerosis. However, the 3D structure and the stimulatory effect of endocan on macrophages are unknown. Hence, we predicted the three-dimensional structure of human endocan and calculated the binding efficiency of statins towards endocan and determined their inhibition potential. Molecular docking studies of simvastatin (-9.64 kcal/mol) showed that binding is stabilized by the hydrogen bonds with Cys60, Cys54 residues, and several hydrophobic interactions. Moreover, MD simulations and pull-down assay results confirmed that simvastatin binding is stable with human endocan. In-silico results obtained in the present study were validated under in-vitro condition by analysing the effect of endocan under simvastatin treatment. Western blot results have shown that simvastatin could reduce endocan expression in LPS-treated endothelial cells. Further, endocan treatment in RAW 264.7 macrophages stimulates NO, ROS production and increases iNOS, CRP expression. However, endocan and simvastatin combination treatment could suppress NO, ROS production and iNOS, CRP activation. The present study results suggest that endocan could induce vascular inflammation in macrophages. In addition, the results showed that simvastatin could interact with endocan and thereby suppress the stimuli-induced effect. Thus, endocan may play a role in atherogenesis by activating macrophages.


Assuntos
Simulação por Computador , Inibidores de Hidroximetilglutaril-CoA Redutases/metabolismo , Proteínas de Neoplasias/metabolismo , Proteoglicanas/metabolismo , Sequência de Aminoácidos , Animais , Sítios de Ligação , Proteína C-Reativa/genética , Proteína C-Reativa/metabolismo , Células Endoteliais da Veia Umbilical Humana/metabolismo , Humanos , Inibidores de Hidroximetilglutaril-CoA Redutases/química , Ligantes , Macrófagos/metabolismo , Camundongos , Simulação de Acoplamento Molecular , Simulação de Dinâmica Molecular , Proteínas de Neoplasias/química , Óxido Nítrico/biossíntese , Óxido Nítrico Sintase Tipo II/genética , Óxido Nítrico Sintase Tipo II/metabolismo , Proteoglicanas/química , Células RAW 264.7 , RNA Mensageiro/genética , RNA Mensageiro/metabolismo , Espécies Reativas de Oxigênio/metabolismo , Sinvastatina/química , Sinvastatina/metabolismo , Homologia Estrutural de Proteína
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA