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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
Published on: October 19, 2021
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Application of Proteomics in Lung Research.
Nichole A Reisdorph1, Cole Michel2, Kristofer Fritz2
1Department of Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO, USA. Nichole.Reisdorph@UCDenver.edu.
Methods in Molecular Biology (Clifton, N.J.)
|July 11, 2018
Summary
Quantitative proteomics methods, including label-free and labeling techniques, offer rapid, comprehensive analysis of protein changes. These workflows are crucial for lung research, aiding biomarker discovery and understanding disease mechanisms.
Area of Science:
- Biochemistry
- Molecular Biology
- Clinical Proteomics
Background:
- Proteomics enables rapid and comprehensive evaluation of global protein changes.
- Applications in lung research include biomarker discovery, drug development, and disease mechanism elucidation.
- Quantitative proteomics is essential for clinical assays.
Purpose of the Study:
- To describe specific techniques for quantitative proteomics workflows.
- To detail sample preparation, mass spectrometry analysis, and data analysis methods.
- To highlight the utility of these strategies in lung research and beyond.
Main Methods:
- Detailed sample preparation protocols for lung-specific samples.
- Mass spectrometry-based analysis techniques.
- Data analysis strategies for quantitative proteomics.
Main Results:
- Description of both label-free and labeling quantitative proteomics workflows.
- Methodologies applicable to diverse lung-specific sample types.
- Strategies suitable for clinical proteomics applications.
Conclusions:
- Quantitative proteomics workflows provide powerful tools for biological and clinical research.
- These methods facilitate biomarker and drug discovery in lung diseases.
- The described strategies are adaptable to various sample types and research questions.
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