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Efficient and Powerful Integration of Targeted Metabolomics and Transcriptomics for Analyzing the Metabolism Behind Desirable Traits in Plants.
Johnston, Christopher R; Arias, Cintia L; Alonso, Ana Paula.
Afiliación
  • Johnston CR; Department of Biological Sciences & BioDiscovery Institute, University of North Texas, Denton, TX, USA.
  • Arias CL; Department of Biological Sciences & BioDiscovery Institute, University of North Texas, Denton, TX, USA.
  • Alonso AP; Department of Biological Sciences & BioDiscovery Institute, University of North Texas, Denton, TX, USA. Anapaula.Alonso@unt.edu.
Methods Mol Biol ; 2812: 47-99, 2024.
Article en En | MEDLINE | ID: mdl-39068357
ABSTRACT
Through current mass spectrometry methods and multiple RNA-Seq technologies, large metabolomics and transcriptomics datasets are readily obtainable, which provide a powerful and global perspective on metabolism. Indeed, one "omics" method is often not enough to draw strong conclusions about metabolism. Combining and interpreting multiple "omics" datasets remains a challenging task that requires careful statistical considerations and pre-planning. Here we describe a protocol for obtaining high-quality metabolomics and transcriptomics datasets in developing plant embryos followed by a robust approach to integration of the two. This protocol is readily adjustable and scalable to any other metabolically active organ or tissue.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Plantas / Metabolómica / Transcriptoma Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Plantas / Metabolómica / Transcriptoma Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos