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Whole-Genome Multiparametric Screening to Identify Modulators of Epithelial-to-Mesenchymal Transition

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ASSAY AND DRUG DEVELOPMENT TECHNOLOGIES
卷 12, 期 7, 页码 385-394

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MARY ANN LIEBERT, INC
DOI: 10.1089/adt.2014.593

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资金

  1. University of Malaya
  2. EMPathy Breast Cancer Network, a National Breast Cancer Foundation (Australia)
  3. Victorian Government's Operational Infrastructure Support Program
  4. Australian Government Department of Health
  5. Australian Cancer Research Foundation (ACRF)
  6. Victorian Department of Industry, Innovation and Regional Development (DIIRD)
  7. Australian Phenomics Network (APN)
  8. Australian Government's Education Investment Fund through the Super Science Initiative
  9. Australasian Genomics Technologies Association (AGTA)
  10. Brockhoff Foundation
  11. Peter MacCallum Cancer Centre Foundation

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Metastasis accounts for the poor prognosis of the majority of solid tumors. The phenotypic transition of nonmotile epithelial tumor cells to migratory and invasive mesenchymal'' cells (epithelial-to-mesenchymal transition [EMT]) enables the transit of cancer cells from the primary tumor to distant sites. There is no single marker of EMT; rather, multiple measures are required to define cell state. Thus, the multiparametric capability of high-content screening is ideally suited for the comprehensive analysis of EMT regulators. The aim of this study was to generate a platform to systematically identify functional modulators of tumor cell plasticity using the bladder cancer cell line TSU-Pr1-B1 as a model system. A platform enabling the quantification of key EMT characteristics, cell morphology and mesenchymal intermediate filament vimentin, was developed using the fluorescent whole-cell-tracking reagent CMFDA and a fluorescent promoter reporter construct, respectively. The functional effect of genome-wide modulation of protein-coding genes and miRNAs coupled with those of a collection of small-molecule kinase inhibitors on EMT was assessed using the Target Activation Bioapplication integrated in the Cellomics ArrayScan platform. Data from each of the three screens were integrated to identify a cohort of targets that were subsequently examined in a validation assay using siRNA duplexes. Identification of established regulators of EMT supports the utility of this screening approach and indicated capacity to identify novel regulators of this plasticity program. Pathway analysis coupled with interrogation of cancer-related expression profile databases and other EMT-related screens provided key evidence to prioritize further experimental investigation into the molecular regulators of EMT in cancer cells.

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