Metabolomic differential analysis of gene-mutated Drosophila using LC/MS and GC/MS

User Benefits

- Obtained LC/MS and GC/MS data can be easily visualized by Multi-omics Analysis Package as the software has an intuitive and user-friendly interface. - The greater number of metabolites can be comprehensively displayed by integrating the results of LC/MS and GC/MS measurements and outputting them on a metabolic map.

Introduction

A genetic mutation is a change in the sequence of a DNA base, which can be a substitution, an insertion, or a deletion. They are divided into innate ones inherited from parents and acquired ones due to environmental factors (e.g., radiation, chemicals, eating habits, microorganisms, etc.) or errors in DNA replication during cell division. The innate will be present in almost every cell of the body throughout life. This mutation is also called a germline mutation because it is present in the parent's germ cells . Acquired ones, on the other hand, are called somatic mutations, mutations that occur only in specific cells of the body, not in every cell. Newborn mutations that occur in the offspring can be inherited or somatic . Genetic mutations in the DNA sequence may prevent proteins from being synthesized correctly or from functioning. Diseases caused by one or more gene mutations are called hereditary diseases and include Lysosome disease, muscular dystrophy, and phenylketonuria. In this application, long-lived gene mutations were generated in Drosophila yellow, and metabolites in wild and mutant Drosophila were measured by liquid chromatograph mass spectrometer (LCMS-8060NX) and gas chromatograph mass spectrometer (GCMS-TQ 8040 NX). For more details on GC-MS measurement results, please refer to Application News 01-00410. In order to find differences between wild and mutant strains from the measurement results, we analyzed them using Multi-omics Analysis Package. Multi-omics Analysis Package is an analysis software with data visualization features such as multivariate analysis (such as principal component analysis and class cluster analysis), volcano plots, and metabolic maps. This application news presents examples of analyses using these statistical methods to compare wild and genetically mutated Drosophila and analyze differences in metabolites.

April 9, 2023 GMT