Efficient and Powerful Integration of Targeted Metabolomics and Transcriptomics for Analyzing the Metabolism Behind Desirable Traits in Plants.

Autor:	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.
Jazyk:	angličtina
Zdroj:	Methods in molecular biology (Clifton, N.J.) [Methods Mol Biol] 2024; Vol. 2812, pp. 47-99.
DOI:	10.1007/978-1-0716-3886-6_4
Abstrakt:	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. (© 2024. The Author(s).)
Databáze:	MEDLINE
Externí odkaz:	Zobrazit plný text záznamu