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DRUGPATH - a novel bioinformatic approach identifies DNA-damage pathway as a regulator of size maintenance in human ESCs and iPSCs.
Kovacic, Boris; Rosner, Margit; Schlangen, Karin; Kramer, Nina; Hengstschläger, Markus.
Afiliación
  • Kovacic B; Institute of Medical Genetics, Center for Pathobiochemistry and Genetics, Medical University of Vienna (MUV), Vienna, Austria. boris.kovacic@meduniwien.ac.at.
  • Rosner M; Institute of Medical Genetics, Center for Pathobiochemistry and Genetics, Medical University of Vienna (MUV), Vienna, Austria.
  • Schlangen K; Section for Biosimulation and Bioinformatics, Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna (MUV), Vienna, Austria.
  • Kramer N; Institute of Medical Genetics, Center for Pathobiochemistry and Genetics, Medical University of Vienna (MUV), Vienna, Austria.
  • Hengstschläger M; Institute of Medical Genetics, Center for Pathobiochemistry and Genetics, Medical University of Vienna (MUV), Vienna, Austria.
Sci Rep ; 9(1): 1897, 2019 02 13.
Article en En | MEDLINE | ID: mdl-30760778
ABSTRACT
Genetic and biochemical screening approaches often fail to identify functionally relevant pathway networks because many signaling proteins contribute to multiple gene ontology pathways. We developed a DRUGPATH-approach to predict pathway-interactomes from high-content drug screen data. DRUGPATH is based upon combining z-scores of effective inhibitors with their corresponding and validated targets. We test DRUGPATH by comparing homeostatic pathways in human embryonic stem cells (hESCs), human induced pluripotent stem cells (hiPSCs) and human amniotic fluid stem cells (hAFSCs). We show that hAFSCs utilize distinct interactomes compared to hESCs/hiPSCs and that pathways orchestrating cell cycle and apoptosis are strongly interconnected, while pathways regulating survival and size are not. Interestingly, hESCs/hiPSCs regulate their size by growing exact additional sizes during each cell cycle. Chemical and genetic perturbation studies show that this "adder-model" is dependent on the DNA-damage pathway. In the future, the DRUGPATH-approach may help to predict novel pathway interactomes from high-content drug screens.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Daño del ADN / Biología Computacional / Tamaño de la Célula / Inhibidores Enzimáticos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Sci Rep Año: 2019 Tipo del documento: Article País de afiliación: Austria

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Daño del ADN / Biología Computacional / Tamaño de la Célula / Inhibidores Enzimáticos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Sci Rep Año: 2019 Tipo del documento: Article País de afiliación: Austria