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1.
Assay Drug Dev Technol ; 13(5): 262-5, 2015 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-26121065

RESUMO

Immortalized cells, generated from two-dimensional cell culture techniques, are widely used in compound screening, lead optimization, and drug candidate selection. However, such cells lack many characteristics of cells in vivo. This could account for the high failure rates of lead candidates in clinical evaluation. New approaches from cell biology, materials science, and bioengineering are increasing the utility of three-dimensional (3D) culture. These approaches have become more compatible with automation and, thus, provide more physiologically relevant cells for high-throughput/high-content screening, notably in oncology drug discovery. Techniques range from simple 3D spheroids, comprising one or more cell types, to complex multitissue organoids cultured in extracellular matrix gels or microfabricated chips. Furthermore, each approach can be applied to stem cells, such as induced pluripotent stem cells, thereby providing additional phenotypic relevance and the exciting potential to enable screening in disease-specific cell types.


Assuntos
Técnicas de Cultura de Células/métodos , Descoberta de Drogas/métodos , Ensaios de Triagem em Larga Escala/métodos , Técnicas de Cultura de Células/tendências , Descoberta de Drogas/tendências , Ensaios de Seleção de Medicamentos Antitumorais/métodos , Ensaios de Seleção de Medicamentos Antitumorais/tendências , Ensaios de Triagem em Larga Escala/tendências , Humanos , Células MCF-7
2.
Curr Protoc Chem Biol ; 6(1): 39-51, 2014 Mar 14.
Artigo em Inglês | MEDLINE | ID: mdl-24652622

RESUMO

Label-free cell-based assays offer a powerful approach to drug discovery and compound profiling for endogenously expressed receptors in a variety of cell types, including primary and stem cells. Dynamic mass redistribution (DMR) responses in whole cells following receptor stimulation provide phenotypic activity profiles that are readily amenable to evaluation of compound pharmacology. Protocols are provided in this unit to obtain DMR response profiles in adherent and suspension cells, and then to use known tool compounds to delineate the biology of the underlying signaling pathways from the information-rich kinetic traces that are recorded.


Assuntos
Bioensaio/métodos , Descoberta de Drogas/métodos , Animais , Células CHO , Linhagem Celular Tumoral , Cricetulus , Interpretação Estatística de Dados , Humanos , Cultura Primária de Células , Receptores de Droga/agonistas , Receptores de Droga/antagonistas & inibidores , Receptores de Droga/efeitos dos fármacos , Transdução de Sinais/efeitos dos fármacos
3.
Chem Biol ; 14(11): 1261-72, 2007 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-18022565

RESUMO

Protein phosphorylation is a ubiquitous mechanism for cellular signal propagation, and signaling network complexity presents a challenge to protein kinase substrate identification. Few targets of Polo-like kinases are known, despite their significant role in coordinating cell-cycle progression. Here, we combine chemical-genetic, bioinformatic, and proteomic tools for Polo-like kinase substrate identification. Specific pharmacological inhibition of budding yeast Polo-like kinase, Cdc5, resulted in a misaligned preanaphase spindle and subsequently delayed anaphase nuclear migration, revealing a Cdc5 function. A cellular screen for Cdc5 substrates identified Spc72, a spindle pole body (SPB) component and microtubule anchor required for nuclear positioning. Spc72 bound to the Cdc5 PBD in a mitosis-specific manner, was phosphorylated by Cdc5 in vitro, and demonstrated a loss of mitotic phosphorylation in vivo upon Cdc5 inhibition. Finally, an examination of Cdc5 binding by SPB-localized proteins expanded our knowledge of Cdc5 function at the SPB.


Assuntos
Biologia Computacional , Proteínas Serina-Treonina Quinases/metabolismo , Alelos , Proteínas de Ciclo Celular/metabolismo , Proteínas Quinases/metabolismo , Proteínas Serina-Treonina Quinases/genética , Proteínas de Saccharomyces cerevisiae/metabolismo , Especificidade por Substrato
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