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Updated: May 20, 2026
11:13
Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products
Published on: March 12, 2020
Analysing signalling networks by mass spectrometry
Claus Jørgensen1, Marie Locard-Paulet
1Division of Cancer Biology, Cell Communication Team, The Institute of Cancer Research, London, UK. claus.jorgensen@icr.ac.uk
Amino Acids
|July 24, 2012
Summary
Analyzing the proteome alongside genetic data is crucial for understanding disease mechanisms. This approach links genetic mutations to their biological effects by examining protein networks and functions.
Area of Science:
- Genomics and Proteomics
- Molecular Biology
- Disease Mechanisms
Background:
- Genetic analysis provides a framework for assessing genotype impact on diseases.
- Understanding disease development requires analyzing the proteome's response to genetic aberrations.
- Protein network organization, expression, and function are key to disease pathology.
Purpose of the Study:
- To investigate the impact of genetic aberrations on the proteome.
- To determine how protein networks are affected by genetic mutations.
- To bridge the gap between genotype and phenotype in disease.
Main Methods:
- Utilizing sensitive mass spectrometry platforms for proteomic analysis.
- Employing innovative workflows for qualitative and quantitative proteome analysis.
- Analyzing cellular and extracellular proteomes.
Main Results:
- Identification of proteome content.
- Analysis of protein complexes, modifications, enzymatic activities, and localization.
- Assessment of proteomic organization and its relation to genetic aberrations.
Conclusions:
- Proteomic analysis provides critical insights into the biological effects of genetic mutations.
- Understanding proteomic changes is essential for linking genotype to phenotype.
- This integrated approach enhances our comprehension of disease etiology.
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