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

User Benefits

- Obtained GC/MS data can be easily visualized by Multi-omics Analysis Package as the software has an intuitive and user-friendly interface. - Statistical techniques such as principal component analysis, hierarchical clustering, volcano plot and metabolic maps are available to find differences among samples.

Introduction

A genetic mutation is a change or defect in the DNA sequence in a cell, which is divided into congenital and acquired mutations. Congenital mutations are mutations found in all the cells that make up the body and are passed down through the generations from parent to child. Acquired mutations, on the other hand, are caused by lifestyle factors such as smoking or environmental factors such as ultraviolet radiation. Naturally occurring genetic mutations can affect cell division and proliferation, causing cancer or leading to serious diseases caused by metabolic abnormalities. On the other hand, technologies to artificially modify genes have been applied to genetically modified foods, and it is possible to insert a gene from another organism or, conversely, to suppress the function of the original gene. In addition, because the type and concentration of metabolites that are essential for life support are influenced by an individual's health and constitution, they are attracting attention as biomarkers that show signs of various diseases. Since metabolites are derived from genes in addition to lifestyle, the integrated analysis of metabolites and genomic information is regarded as an important basic research that may lead to the development of drugs to treat diseases and personalized medicine. That's where techniques to study the effects of genetic mutations on metabolites become important. In this application, long-lived gene mutations were generated in yellow Drosophila and metabolites in wild and mutant Drosophila were measured by gas chromatograph mass spectrometer (GC- MS). the Multi-omics Analysis Package was employed to find differences between wild and mutant strains from the measurement results. Multi-omics Analysis Package is an analysis software with data visualization features such as multivariate analysis (e.g., principal component analysis, 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 analyzes differences in metabolites.

April 9, 2023 GMT