GCMS
More information
WebinarsAbout usContact usTerms of use
LabRulez s.r.o. All rights reserved. Content available under a CC BY-SA 4.0 Attribution-ShareAlike

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

Applications | 2023 | ShimadzuInstrumentation
GC/MSD, GC/MS/MS, GC/QQQ, LC/MS, LC/MS/MS, LC/QQQ
Industries
Metabolomics
Manufacturer
Shimadzu

Summary

Significance of the Topic


Genetic mutations can alter metabolic pathways and lead to disease, making their study essential for understanding biological mechanisms and for applications in genetics, drug discovery, and quality control in biotechnology. Integrating LC/MS and GC/MS data provides a comprehensive metabolomic profile, enhancing the detection of subtle biochemical changes.

Objectives and Study Overview


This study aimed to compare metabolite profiles between wild-type and genetically mutated Drosophila yellow strains. By employing both liquid chromatography–mass spectrometry (LC/MS) and gas chromatography–mass spectrometry (GC/MS), researchers sought to identify mutation-associated metabolic changes and visualize them through advanced statistical analysis and metabolic mapping.

Methodology and Instrumentation


Sample Preparation and Analysis:
  • 100 adult Drosophila (50 wild type, 50 genetically mutated)
  • 20 samples, each comprising 5 flies (10 wild-type samples, 10 mutant samples)
  • Metabolite extraction and derivatization followed the Metabolomics Pretreatment Handbook protocols

Instrumental Platforms:
  • LC/MS analysis: Shimadzu LCMS-8060NX with primary metabolite method package
  • GC/MS analysis: Shimadzu GCMS-TQ™8040 NX for volatile primary metabolites (5 samples per genotype)


Main Results and Discussion


Principal Component Analysis (PCA):
  • 89 metabolites detected by LC/MS were subjected to PCA
  • PC1 and PC2 captured 29.3% and 18.0% of variance (47.3% cumulative)
  • Clear separation between wild-type and mutant groups

Loading Plot Insights:
  • Wild-type enrichment: Kynurenic acid, Vitamin B12, Methionine sulfoxide
  • Mutant enrichment: Citrulline, Proline, Carnitine; subsets high in Malic acid and Aspartic acid

Volcano Plot Findings:
  • Significantly elevated in wild type: Kynurenic acid, Kynurenine, Vitamin B12
  • Uniquely elevated in mutants: Citrulline
  • Most metabolites showed similar abundance across genotypes

Box Plot Verification:
  • Kynurenine levels confirmed to be high exclusively in wild-type samples

Integrated LC/MS and GC/MS Analysis:
  • Metabolic maps overlaid LC/MS data on GC/MS pathways for representative samples
  • Detailed mapping of the kynurenine pathway showed coordinated elevation of all detected intermediates in wild type


Benefits and Practical Applications


  • Comprehensive metabolic profiling through combined LC/MS and GC/MS enhances coverage
  • Multi-omics Analysis Package offers user-friendly visualization: PCA, volcano plots, box plots, and metabolic maps
  • Objective statistical workflows support reproducible biomarker discovery and quality control


Future Trends and Potential Applications


  • Expansion to additional omics layers (proteomics, transcriptomics) for systems-level insights
  • Automation and AI-driven pattern recognition to accelerate data interpretation
  • High-throughput screening of genetic variants in model organisms and human cell lines
  • Integration with clinical diagnostics for personalized medicine research


Conclusion


The combined use of LCMS-8060NX and GCMS-TQ™8040 NX with the Multi-omics Analysis Package effectively distinguished metabolic differences between wild-type and genetically mutated Drosophila. Advanced statistical analyses and integrated metabolic mapping enabled clear visualization of mutation-driven alterations, demonstrating a robust workflow for metabolomic research and potential applications in genetics and biomedical studies.

Reference


  1. What is genetic disease plus, genetic mutation? How does it happen? accessed 20th June 2022
  2. Shimadzu Corporation, Metabolomics Pretreatment Handbook, accessed 9th June 2022

Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.

Downloadable PDF for viewing
 

Similar PDF

Toggle
Metabolomic differential analysis of gene-mutated Drosophila using GC/MS
GC-MS Application News GCMS-TQ™8040 NX Metabolomic differential analysis of gene-mutated Drosophila using GC/MS Dr. S. Kashio*1, E. Shimbo*2, Y. Yamada*2, Y. Nakagawa*2 *1: Genetics laboratory, Tokyo University *2: Shimadzu Corporation User Benefits  Obtained GC/MS data can be easily visualized…
Key words
wild, wilddrosophila, drosophilagenetically, geneticallymetabolites, metabolitesmutations, mutationsmutated, mutatedgenetic, geneticmethoxamine, methoxamineomics, omicsgene, genenews, newsmutant, mutantmin, minanalysis, analysispackage
Multi-omics Analysis Using Next-Generation Sequencer and Mass Spectrometer in Longevity Research
Application Note No. Multi-omics Analysis Using Next-Generation Sequencer and Mass Spectrometer in Longevity Research 98 Yuki Nakagawa1, Tsubasa Ibushi2, Kosuke Kasadera3, Soshiro Kashio4 Life Science Life Science  Abstract 1. Introduction Using a next-generation sequencer (GridION, Oxford Nanopore Technologies) and…
Key words
lived, livedomics, omicsrna, rnametabolic, metabolicmetabolites, metabolitesanalysis, analysisdna, dnadrosophila, drosophilavermillion, vermillionvariables, variableswild, wildmulti, multigene, genelong, longlongevity
Metabolic Pathway Analysis Solutions
Metabolic Pathway Analysis Solutions
2024|Shimadzu|Brochures and specifications
C10G-E103 Metabolic Pathway Analysis Solutions Metabolic Pathway Metabolic pathways are the chain of chemical and enzymatic reactions that occur within a cell in living organisms to support their life. They are a series of reaction pathways that include intermediates from…
Key words
day, daymetabolic, metabolicculture, culturepathway, pathwaypackage, packagemutant, mutantmetabolites, metabolitessystem, systemhomocysteine, homocysteineflies, fliesmedium, mediummeasurement, measurementmetabolomics, metabolomicsmethionine, methioninewild
Differential Analysis of Aging by Sex Using Correlation Analysis of Primary Metabolites
GC-MS GCMS-TQ™ 8040 NX Application News Differential Analysis of Aging by Sex Using Correlation Analysis of Primary Metabolites Yuki Nakagawa1, Shida Takashi2 1 Shimadzu Corporation, 2 Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology User Benefits  Smart Metabolites Database™…
Key words
correlation, correlationglutamate, glutamateage, ageglutamic, glutamiccreatinine, creatininemetabolic, metabolicdrosophila, drosophilapathway, pathwaysex, sexmutant, mutantdifferences, differencesanalysis, analysispackage, packagescatter, scatterblood
Other projects
LCMS
ICPMS
Follow us
More information
WebinarsAbout usContact usTerms of use
LabRulez s.r.o. All rights reserved. Content available under a CC BY-SA 4.0 Attribution-ShareAlike