Your browser doesn't support javascript.
loading
Cellular arrays for large-scale analysis of transcription factor activity.
Bellis, Abigail D; Penalver-Bernabé, Beatriz; Weiss, Michael S; Yarrington, Michael E; Barbolina, Maria V; Pannier, Angela K; Jeruss, Jacqueline S; Broadbelt, Linda J; Shea, Lonnie D.
Afiliação
  • Bellis AD; Department of Chemical and Biological Engineering, Northwestern University, Evanston, Illinois 60208-3120, USA.
Biotechnol Bioeng ; 108(2): 395-403, 2011 Feb.
Article em En | MEDLINE | ID: mdl-20812256
ABSTRACT
Identifying molecular mechanisms or therapeutic targets is typically based on large-scale cellular analysis that measures the abundance of mRNA or protein; however, abundance does not necessarily correlate with activity. We report a method for direct large-scale quantification of active pathways that employs a cellular array with parallel gene delivery of constructs that report pathway activity. The reporter constructs encode luciferase, whose expression is influenced by binding of transcription factors (TFs), which are the downstream targets of signaling pathways. Luciferase levels are quantified by bioluminescence imaging (BLI), which allows for rapid, non-invasive measurements. Activity profiles by BLI of 32 TFs were robust, consistent, and reproducible, and correlated with standard cell lysis techniques. The array identified five TFs with differential activity during phorbol-12-myristate-13-acetate (PMA)-induced differentiation of breast cancer cells. A system for rapid, large-scale, BLI quantification of pathway activity provides an enabling technology for mechanistic studies of cellular responses and processes.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fatores de Transcrição / Regulação da Expressão Gênica / Perfilação da Expressão Gênica / Análise em Microsséries / Redes e Vias Metabólicas Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2011 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fatores de Transcrição / Regulação da Expressão Gênica / Perfilação da Expressão Gênica / Análise em Microsséries / Redes e Vias Metabólicas Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2011 Tipo de documento: Article