An integrated bioinformatics analysis to dissect kinase dependency in triple negative breast cancer
作者: Karen A RyallJihye KimPeter J KlauckJimin ShinMinjae YooAnastasia IonkinaTodd M PittsJohn J TentlerJennifer R DiamondS Gail EckhardtLynn E HeasleyJaewoo KangAik Choon Tan
作者单位: 1University of Colorado Anschutz Medical Campus
2Korea University
刊名: BMC Genomics, 2015, Vol.16 (S12)
来源数据库: Springer Journal
DOI: 10.1186/1471-2164-16-S12-S2
关键词: Kinase dependencyTriple-Negative Breast Cancerhigh-throughput screeningbioinformatics
英文摘要: Abstract(#br) Background(#br)Triple-Negative Breast Cancer (TNBC) is an aggressive disease with a poor prognosis. Clinically, TNBC patients have limited treatment options besides chemotherapy. The goal of this study was to determine the kinase dependency in TNBC cell lines and to predict compounds that could inhibit these kinases using integrative bioinformatics analysis.(#br) Results(#br)We integrated publicly available gene expression data, high-throughput pharmacological profiling data, and quantitative in vitro kinase binding data to determine the kinase dependency in 12 TNBC cell lines. We employed Kinase Addiction Ranker (KAR), a novel bioinformatics approach, which integrated these data sources to dissect kinase dependency in TNBC cell lines. We then used the kinase dependency...
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影响因子:4.397 (2012)

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关键词翻译
关键词翻译
  • bioinformatics 生物信息学
  • dissect 分析
  • negative 负象
  • dependency 依赖性
  • breast 胸部
  • analysis 分析
  • integrated 综[组,复]合
  • kinase 激酶
  • triple 三重的
  • cancer 癌症