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Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer.
Defreitas, Shawna; Rowe, Molly; Paculis, Lily; Jia, Dongyu.
Afiliación
  • Defreitas S; Department of Biology, Georgia Southern University.
  • Rowe M; Department of Biology, Georgia Southern University.
  • Paculis L; Department of Biology, Georgia Southern University.
  • Jia D; Department of Biology, Georgia Southern University; djia@georgiasouthern.edu.
J Vis Exp ; (155)2020 01 12.
Article en En | MEDLINE | ID: mdl-31984955
Notch signaling is a highly conserved regulatory pathway involved in many cellular processes. Dysregulation of this signaling pathway often leads to interference with proper development and may even result in initiation or progression of cancers in certain cases. Because this pathway serves complex and versatile functions, it can be studied extensively through many different approaches. Of these, bioinformatics provides an undeniably cost-efficient, approachable, and user-friendly method of study. Bioinformatics is a useful way to extract smaller pieces of information from large-scale datasets. Through the implementation of various bioinformatics approaches, researchers can quickly, reliably, and efficiently interpret these large datasets, yielding insightful applications and scientific discoveries. Here, a protocol is presented for integration of bioinformatics approaches to investigate the role of Notch signaling in ovarian cancer. Furthermore, bioinformatics findings are validated through experimentation.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias Ováricas / Transducción de Señal / Biología Computacional / Receptores Notch Límite: Animals / Female / Humans Idioma: En Revista: J Vis Exp Año: 2020 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias Ováricas / Transducción de Señal / Biología Computacional / Receptores Notch Límite: Animals / Female / Humans Idioma: En Revista: J Vis Exp Año: 2020 Tipo del documento: Article