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Updated: May 14, 2026

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation
Published on: March 7, 2018
Cell signalling analyses in the functional genomics era
1Biotechnology Centre of Oslo, University of Oslo, N-0317, Oslo, Norway.
Recent proteomics advances, including quantitative mass spectrometry (MS) and phosphoproteomics, enable detailed analysis of cellular signaling networks. New tools allow researchers to understand signal transduction dynamics across various biological scales.
Area of Science:
- Proteomics
- Systems Biology
- Chemical Biology
Background:
- Proteomics has advanced significantly, with increased mass spectrometry (MS) sensitivity and new quantitative MS and phosphoproteomics methods.
- Antibody development allows detection of diverse signaling marks, including phosphorylations and post-translational modifications.
- High-throughput methods like phospho-flow cytometry and MS-based analyses facilitate the study of signaling networks.
Purpose of the Study:
- To review recent advancements in quantitative MS, phosphoflow cytometry, and chemical biology.
- To highlight their application in analyzing dynamic, spatiotemporal phosphorylation events.
- To underscore their role in advancing systems-level understanding of cellular signaling.
Main Methods:
- Quantitative mass spectrometry (MS) for sensitive proteomic analysis.
- Phospho-flow cytometry for high-throughput detection of signaling events.
- Chemical biology and chemical proteomics for pathway perturbation studies.
- Antibody development for detecting post-translational modifications.
Main Results:
- Enhanced sensitivity and quantitative capabilities in MS analyses.
- Detection of a wide array of signaling marks through advanced antibody technologies.
- Analysis of whole signaling networks and identification of signaling complexes.
- Small molecule compounds enable pathway perturbation for deeper understanding of signal transduction dynamics.
Conclusions:
- Current tools facilitate systems-level understanding of cellular signaling networks.
- Advancements in quantitative MS, phosphoflow cytometry, and chemical biology are crucial for studying dynamic phosphorylation events.
- These technologies advance the understanding of signal transduction dynamics at single-cell, cellular system, tissue, and whole-organ levels.
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