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Comprehensive Mapping of Key Regulatory Networks that Drive Oncogene Expression.
Lin, Lin; Holmes, Benjamin; Shen, Max W; Kammeron, Darnell; Geijsen, Niels; Gifford, David K; Sherwood, Richard I.
Afiliação
  • Lin L; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences, Utrecht 3584 CT, the Netherlands.
  • Holmes B; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
  • Shen MW; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Computational and Systems Biology Program, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
  • Kammeron D; Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences, Utrecht 3584 CT, the Netherlands.
  • Geijsen N; Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences, Utrecht 3584 CT, the Netherlands; Department of Anatomy and Embryology, Leiden University Medical Center, Leiden 2300 RC, the Netherlands. Electronic address: n.geijsen@lumc.nl.
  • Gifford DK; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; Department of Electrical Engineering and Computer Science, Massachusetts In
  • Sherwood RI; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences, Utrecht 3584 CT, the Netherlands. Electronic address: rsherwood@rics.bwh.harvard.edu.
Cell Rep ; 33(8): 108426, 2020 11 24.
Article em En | MEDLINE | ID: mdl-33238122
Gene expression is controlled by the collective binding of transcription factors to cis-regulatory regions. Deciphering gene-centered regulatory networks is vital to understanding and controlling gene misexpression in human disease; however, systematic approaches to uncovering regulatory networks have been lacking. Here we present high-throughput interrogation of gene-centered activation networks (HIGAN), a pipeline that employs a suite of multifaceted genomic approaches to connect upstream signaling inputs, trans-acting TFs, and cis-regulatory elements. We apply HIGAN to understand the aberrant activation of the cytidine deaminase APOBEC3B, an intrinsic source of cancer hypermutation. We reveal that nuclear factor κB (NF-κB) and AP-1 pathways are the most salient trans-acting inputs, with minor roles for other inflammatory pathways. We identify a cis-regulatory architecture dominated by a major intronic enhancer that requires coordinated NF-κB and AP-1 activity with secondary inputs from distal regulatory regions. Our data demonstrate how integration of cis and trans genomic screening platforms provides a paradigm for building gene-centered regulatory networks.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Oncogenes / Expressão Gênica / Redes Reguladoras de Genes Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Cell Rep Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Oncogenes / Expressão Gênica / Redes Reguladoras de Genes Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Cell Rep Ano de publicação: 2020 Tipo de documento: Article