Sample Preparation and Reporting Standards for Metabolomics of Adherent Mammalian Cells.

Methods Mol Biol

Medical, Molecular and Forensic Sciences, Murdoch University, Murdoch, WA, Australia.

Published: November 2019

AI Article Synopsis

  • - Metabolomics is a technique that analyzes small molecules in biological systems, focusing on how specific cell types respond to external factors like environmental changes or drug exposure.
  • - In vitro metabolomics offers more control over variables and raises fewer ethical issues, making it useful for uncovering drug actions and improving early risk assessments in drug development.
  • - This study highlights a sampling procedure to minimize interference in metabolomic data interpretation, ensuring that results reflect true experimental effects rather than routine cell culture activities.

Article Abstract

Metabolomics is an analytical technique that investigates the small molecules present within a biological system. Metabolomics of cultured cells allows profiling of the metabolic chemicals involved in a cell type-specific system and the response of that metabolome to external challenges, such as change in environment or exposure to drugs or toxins. The numerous benefits of in vitro metabolomics include a much greater control of external variables and reduced ethical concerns. There is potential for metabolomics of mammalian cells to uncover new information on mechanisms of action for drugs or toxins or to provide a more sensitive, human-specific early risk assessment in drug development or toxicology investigations. One way to achieve stronger biological outcomes from metabolomic data is via the use of these mammalian cultured cell models, particularly in a high-throughput context. With the sensitivity and quantity of data that metabolomics is able to provide, it is important to ensure that the sampling techniques have minimal interference when it comes to interpretation of any observed shifts in the metabolite profile. Here we describe a sampling procedure designed to ensure that the effects seen in metabolomic analyses are explained fully by the experimental factor and not other routine culture-specific activities.

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http://dx.doi.org/10.1007/978-1-4939-9236-2_1DOI Listing

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