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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
Published on: November 15, 2017
Genomics meets proteomics: identifying the culprits in disease
Hendrik G Stunnenberg1, Nina C Hubner
1Department of Molecular Biology, Faculty of Science, Nijmegen Centre for Molecular Life Sciences, Radboud University Nijmegen, 6525 GA, Nijmegen, The Netherlands.
Genome-wide association studies (GWAS) identify genomic risk loci for diseases. Integrating proteomics with genomics offers a powerful approach to understand the biological mechanisms underlying these associations for precision medicine.
Area of Science:
- Genomics
- Proteomics
- Personalized Medicine
Background:
- Genome-wide association studies (GWAS) identify genomic risk loci impacting disease and traits.
- A major challenge is understanding the biological mechanisms underlying GWAS associations for precision treatment.
- Current research integrates genomics, epigenetics, and chromatin data, primarily from next-generation sequencing.
Purpose of the Study:
- To introduce advances in mass spectrometry-based proteomics.
- To suggest integrating proteomics into post-GWAS workflows.
- To highlight proteomics' potential for identifying functional variants and target genes.
Main Methods:
- Review of recent developments in mass spectrometry-based proteomics.
- Discussion of integrating proteomics with existing genomics and epigenetics data.
- Exploration of post-GWAS analytical workflows.
Main Results:
- Proteomics offers novel, underutilized possibilities for functional genomics.
- Identification and characterization of protein complexes and target genes are enhanced by proteomics.
- Integrative analysis provides an unbiased, detailed view of GWAS loci.
Conclusions:
- Combining proteomics with genomics provides a powerful, unbiased approach to mechanistic insights.
- Proteomics advances can significantly aid in understanding GWAS loci and their disease involvement.
- This integration is crucial for advancing personalized medicine and targeted therapies.
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