Estudo da eficiência de produção de peróxido de hidrogênio por naftoquinonas em associação com ácido ascórbico: aplicações como agentes citotóxicos em linhagem de células normal e tumoral

Pós-graduação em Biociências e Biotecnologia Aplicadas à Farmácia - FCFAR

Potencial estrogênico, antimutagênico e antigenotóxico de extratos e substâncias isoladas do gênero Syngonanthus (Eriocaulaceae) e efeito inibidor na expressão de genes por xantonas de Syngonanthus nitens

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Avaliação da resposta tecidual e da citotoxicidade de soluções coloidais de nanopartículas de prata

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Compostos de paládio (II): síntese, caracterização e investigação da atividade antitumoral

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Avaliação in vitro do efeito da cafeína na inibição do vírus da Hepatite C

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Zoledronic Acid Inhibits Human Osteoblast Activities

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

The effects of genistein and daidzein on cell proliferation kinetics in HT29 colon cancer cells: the expression of CTNNBIP1 (beta-catenin), APC (adenomatous polyposis coli) and BIRC5 (survivin)

Soybean isoflavonoids have received significant attention due to their potential anticarcinogenic and antiproliferative effects and possible role in many signal transduction pathways. However, their mechanisms of action and their molecular targets remain to be further elucidated. In this paper, we demonstrated that two soybean isoflavones (genistein and daidzein) reduced the proliferation of the human colon adenocarcinoma grade II cell line (HT-29) at concentrations of 25 and 50-100 mu M, respectively. We then investigated the effects of genistein and daidzein by RT-PCR on molecules that involved in tumor development and progression by their regulation of cell proliferation. At a concentration of 50 mu M genistein, there was suppressed expression of beta-catenin (CTNNBIP1). Neither genistein nor daidzein affected APC (adenomatous polyposis coli) or survivin (BIRC5) expression when cells were treated with concentrations of 10 or 50 mu M. These data suggest that the down-regulation of beta-catenin by genistein may constitute an important determinant of the suppression of HT-29 cell growth and may be exploited for the prevention and treatment of colon cancer.

MRE11A and SKP2 genes are associated with the increased cytotoxicity induced by the synergistic effects of cisplatin and gemcitabine in bladder cancer cells

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Modulation of cell proliferation, survival and gene expression by RAGE and TLR signaling in cells of the innate and adaptive immune response: role of p38 MAPK and NF-KB

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

A Multivariate Calibration Procedure for UV/VIS Spectrometric Monitoring of BHK-21 Cell Metabolism and Growth

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Avaliação das atividades citotóxicas e imunomoduladora de paládio(II) contendo o ligante DMBA= N,N-dimetilbenzilamina

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Inflammation and cancer: role of Annexin A1 and FPR2/ALX in proliferation and metastasis in human laryngeal squamous cell carcinoma

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Caffeine inhibits hepatitis C virus replication in vitro

Abstract Hepatitis C is considered the major cause of cirrhosis and hepatocellular carcinoma. Conventional treatment is not effective against some hepatitis C virus (HCV) genotypes; therefore, new treatments are needed. Coffee and, more recently, caffeine, have been found to have a beneficial effect in several disorders of the liver, including those manifesting abnormal liver biochemistry, cirrhosis and hepatocellular carcinoma. Caffeine acts directly by delaying fibrosis, thereby improving the function of liver cellular pathways and interfering with pathways used by the HCV replication cycle. In the current study, the direct relationship between caffeine and viral replication was evaluated. The Huh-7.5 cell line was used for transient infections with FL-J6/JFH-50 C19Rluc2AUbi and to establish a cell line stably expressing SGR-Feo JFH- 1. Caffeine efficiently inhibited HCV replication in a dosedependent manner at non-cytotoxic concentrations and demonstrated an IC50 value of 0.7263 mM after 48 h of incubation. These data demonstrate that caffeine may be an important new agent for anti-HCV therapies due to its efficient inhibition of HCV replication at non-toxic concentrations.

Mecanismo de ação do estrógeno no gene Amphiregulin em células MCF7 e MDA-MB-231 via P13K

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Artificial neural network associated to UV/Vis spectroscopy for monitoring bioreactions in biopharmaceutical processes

Currently, mammalian cells are the most utilized hosts for biopharmaceutical production. The culture media for these cell lines include commonly in their composition a pH indicator. Spectroscopic techniques are used for biopharmaceutical process monitoring, among them, UV–Vis spectroscopy has found scarce applications. This work aimed to define artificial neural networks architecture and fit its parameters to predict some nutrients and metabolites, as well as viable cell concentration based on UV–Vis spectral data of mammalian cell bioprocess using phenol red in culture medium. The BHK-21 cell line was used as a mammalian cell model. Off-line spectra of supernatant samples taken from batches performed at different dissolved oxygen concentrations in two bioreactor configurations and with two pH control strategies were used to define two artificial neural networks. According to absolute errors, glutamine (0.13 ± 0.14 mM), glutamate (0.02 ± 0.02 mM), glucose (1.11 ± 1.70 mM), lactate (0.84 ± 0.68 mM) and viable cell concentrations (1.89 105 ± 1.90 105 cell/mL) were suitably predicted. The prediction error averages for monitored variables were lower than those previously reported using different spectroscopic techniques in combination with partial least squares or artificial neural network. The present work allows for UV–VIS sensor development, and decreases cost related to nutrients and metabolite quantifications.