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1.
Chem Res Toxicol ; 31(2): 127-136, 2018 02 19.
Artigo em Inglês | MEDLINE | ID: mdl-29156121

RESUMO

A chemical genomics "Toxmatrix" method was developed to elucidate mechanisms of cytotoxicity using neuronal models. Quantitative high-throughput screening (qHTS) was applied to systematically screen each toxicant against a panel of 70 modulators, drugs or chemicals that act on a known target, to identify interactions that either protect or sensitize cells to each toxicant. Thirty-two toxicants were tested at 10 concentrations for cytotoxicity to SH-SY5Y human neuroblastoma cells, with results fitted to the Hill equation to determine an IC50 for each toxicant. Thirty-three toxicant:modulator interactions were identified in SH-SY5Y cells for 14 toxicants, as modulators that shifted toxicant IC50 values lower or higher. The target of each modulator that sensitizes cells or protects cells from a toxicant suggests a mode of toxicant action or cellular adaptation. In secondary screening, we tested modulator-toxicant pairs identified from the SH-SY5Y primary screening for interactions in three differentiated neuronal human cell lines: dSH-SY5Y, conditionally immortalized dopaminergic neurons (LUHMES), and neural stem cells. Twenty toxicant-modulator pairs showed pronounced interactions in one or several differentiated cell models. Additional testing confirmed that several modulators acted through their primary targets. For example, several chelators protected differentiated LUHMES neurons from four toxicants by chelation of divalent cations and buthionine sulphoximine sensitized cells to 6-hydroxydopamine and 4-(methylamino)phenol hemisulfate by blocking glutathione synthesis. Such modulators that interact with multiple neurotoxicants suggest these may be vulnerable toxicity pathways in neurons. Thus, the Toxmatrix method is a systematic high-throughput approach that can identify mechanisms of toxicity and cellular adaptation.


Assuntos
Neurônios Dopaminérgicos/efeitos dos fármacos , Poluentes Ambientais/toxicidade , Genômica , Ensaios de Triagem em Larga Escala , Células-Tronco Neurais/efeitos dos fármacos , Neurotoxinas/toxicidade , Sobrevivência Celular/efeitos dos fármacos , Células Cultivadas , Neurônios Dopaminérgicos/metabolismo , Humanos , Células-Tronco Neurais/metabolismo
2.
Mol Cancer Ther ; 19(5): 1183-1196, 2020 05.
Artigo em Inglês | MEDLINE | ID: mdl-32127464

RESUMO

There is a need to develop novel approaches to improve the balance between efficacy and toxicity for transcription factor-targeted therapies. In this study, we exploit context-dependent differences in RNA polymerase II processivity as an approach to improve the activity and limit the toxicity of the EWS-FLI1-targeted small molecule, mithramycin, for Ewing sarcoma. The clinical activity of mithramycin for Ewing sarcoma is limited by off-target liver toxicity that restricts the serum concentration to levels insufficient to inhibit EWS-FLI1. In this study, we perform an siRNA screen of the druggable genome followed by a matrix drug screen to identify mithramycin potentiators and a synergistic "class" effect with cyclin-dependent kinase 9 (CDK9) inhibitors. These CDK9 inhibitors enhanced the mithramycin-mediated suppression of the EWS-FLI1 transcriptional program leading to a shift in the IC50 and striking regressions of Ewing sarcoma xenografts. To determine whether these compounds may also be liver protective, we performed a qPCR screen of all known liver toxicity genes in HepG2 cells to identify mithramycin-driven transcriptional changes that contribute to the liver toxicity. Mithramycin induces expression of the BTG2 gene in HepG2 but not Ewing sarcoma cells, which leads to a liver-specific accumulation of reactive oxygen species (ROS). siRNA silencing of BTG2 rescues the induction of ROS and the cytotoxicity of mithramycin in these cells. Furthermore, CDK9 inhibition blocked the induction of BTG2 to limit cytotoxicity in HepG2, but not Ewing sarcoma cells. These studies provide the basis for a synergistic and less toxic EWS-FLI1-targeted combination therapy for Ewing sarcoma.


Assuntos
Antibióticos Antineoplásicos/farmacologia , Neoplasias Ósseas/tratamento farmacológico , Quinase 9 Dependente de Ciclina/antagonistas & inibidores , Efeitos Colaterais e Reações Adversas Relacionados a Medicamentos/prevenção & controle , Plicamicina/farmacologia , Sarcoma de Ewing/tratamento farmacológico , Animais , Apoptose , Neoplasias Ósseas/metabolismo , Neoplasias Ósseas/patologia , Proliferação de Células , Feminino , Humanos , Camundongos , Camundongos Nus , Sarcoma de Ewing/metabolismo , Sarcoma de Ewing/patologia , Células Tumorais Cultivadas , Ensaios Antitumorais Modelo de Xenoenxerto
3.
Cell Rep ; 14(3): 598-610, 2016 Jan 26.
Artigo em Inglês | MEDLINE | ID: mdl-26776507

RESUMO

Ewing sarcoma cells depend on the EWS-FLI1 fusion transcription factor for cell survival. Using an assay of EWS-FLI1 activity and genome-wide RNAi screening, we have identified proteins required for the processing of the EWS-FLI1 pre-mRNA. We show that Ewing sarcoma cells harboring a genomic breakpoint that retains exon 8 of EWSR1 require the RNA-binding protein HNRNPH1 to express in-frame EWS-FLI1. We also demonstrate the sensitivity of EWS-FLI1 fusion transcripts to the loss of function of the U2 snRNP component, SF3B1. Disrupted splicing of the EWS-FLI1 transcript alters EWS-FLI1 protein expression and EWS-FLI1-driven expression. Our results show that the processing of the EWS-FLI1 fusion RNA is a potentially targetable vulnerability in Ewing sarcoma cells.


Assuntos
Proteínas de Fusão Oncogênica/metabolismo , Proteína Proto-Oncogênica c-fli-1/metabolismo , Proteína EWS de Ligação a RNA/metabolismo , Sequência de Bases , Sítios de Ligação , Proteínas de Ligação a Calmodulina/antagonistas & inibidores , Proteínas de Ligação a Calmodulina/genética , Proteínas de Ligação a Calmodulina/metabolismo , Linhagem Celular Tumoral , Sobrevivência Celular , Éxons , Regulação Neoplásica da Expressão Gênica , Ribonucleoproteínas Nucleares Heterogêneas Grupo F-H/antagonistas & inibidores , Ribonucleoproteínas Nucleares Heterogêneas Grupo F-H/genética , Ribonucleoproteínas Nucleares Heterogêneas Grupo F-H/metabolismo , Humanos , Proteínas dos Microfilamentos/antagonistas & inibidores , Proteínas dos Microfilamentos/genética , Proteínas dos Microfilamentos/metabolismo , Proteínas de Fusão Oncogênica/antagonistas & inibidores , Proteínas de Fusão Oncogênica/genética , Fosfoproteínas/antagonistas & inibidores , Fosfoproteínas/genética , Fosfoproteínas/metabolismo , Proteína Proto-Oncogênica c-fli-1/antagonistas & inibidores , Proteína Proto-Oncogênica c-fli-1/genética , Interferência de RNA , Precursores de RNA/metabolismo , Splicing de RNA , Fatores de Processamento de RNA , RNA Interferente Pequeno/metabolismo , Proteína EWS de Ligação a RNA/antagonistas & inibidores , Proteína EWS de Ligação a RNA/genética , Proteínas de Ligação a RNA/antagonistas & inibidores , Proteínas de Ligação a RNA/genética , Proteínas de Ligação a RNA/metabolismo , Receptores Citoplasmáticos e Nucleares/antagonistas & inibidores , Receptores Citoplasmáticos e Nucleares/genética , Receptores Citoplasmáticos e Nucleares/metabolismo , Ribonucleoproteína Nuclear Pequena U2/antagonistas & inibidores , Ribonucleoproteína Nuclear Pequena U2/genética , Ribonucleoproteína Nuclear Pequena U2/metabolismo , Sarcoma de Ewing/patologia , Transativadores , Fatores de Transcrição/antagonistas & inibidores , Fatores de Transcrição/genética , Fatores de Transcrição/metabolismo
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