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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
Published on: November 15, 2017
Developments in quantitative mass spectrometry for the analysis of proteome dynamics
Christopher Hughes1, Jeroen Krijgsveld
1European Molecular Biology Laboratory (EMBL), Genome Biology Unit, Heidelberg, Germany.
Trends in Biotechnology
|October 31, 2012
Summary
Cellular homeostasis relies on gene expression and protein dynamics. This review covers high-throughput proteomic methods using genomic tagging and metabolic labeling to study protein turnover kinetics for cellular adaptation.
Area of Science:
- Cellular dynamics and homeostasis
- Molecular biology
- Proteomics
Background:
- Cells restore homeostasis by modulating gene expression and protein abundance.
- Understanding restoration dynamics requires examining transcription and translation kinetics, not just abundance.
- Current methods often focus on static abundance levels, limiting insights into dynamic processes.
Purpose of the Study:
- To review high-throughput proteomic approaches for studying cellular protein turnover kinetics.
- To highlight the utility of genomic tagging and metabolic labeling in understanding cellular dynamics.
- To discuss novel techniques for detailed analysis of cellular adaptation.
Main Methods:
- Genomic tagging and metabolic labeling techniques for protein analysis.
- High-throughput proteomic approaches.
- Mass spectrometry coupled with next-generation sequencing.
Main Results:
- These methods enable the measurement of protein turnover kinetics.
- High-throughput analysis provides detailed insights into cellular adaptation.
- Novel labeling techniques enhance the study of cellular dynamics.
Conclusions:
- Proteomic approaches utilizing genomic tagging and metabolic labeling are crucial for understanding cellular homeostasis.
- Advanced techniques offer unprecedented detail in studying cellular adaptation and dynamics.
- Kinetic analysis of protein turnover is essential for a comprehensive model of cellular balance.
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