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Updated: May 12, 2026

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation
Published on: March 7, 2018
Absolute quantification of transcription factors during cellular differentiation using multiplexed targeted
Jovan Simicevic1, Adrien W Schmid, Paola A Gilardoni
1Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Quantifying transcription factor (TF) copy numbers is key to understanding gene regulation. This study developed a mass spectrometry assay to measure TF levels, revealing significant variations and informing a DNA binding model for PPARγ.
Area of Science:
- Molecular Biology
- Proteomics
- Systems Biology
Background:
- Cellular abundance of transcription factors (TFs) critically influences their regulatory roles in gene expression.
- Accurate determination of TF copy numbers is essential for understanding gene regulation mechanisms.
Purpose of the Study:
- To develop and apply a sensitive mass spectrometry assay for quantifying absolute TF copy numbers.
- To profile key TF levels, including PPARγ and RXRα, during 3T3-L1 pre-adipocyte differentiation.
- To build a DNA binding model for PPARγ integrating copy number, binding energetics, and chromatin state.
Main Methods:
- Selected reaction monitoring-based mass spectrometry assay for simultaneous quantification of up to ten proteins.
- Application of the assay to profile absolute TF levels in differentiating mouse 3T3-L1 pre-adipocytes.
- Formulation of a biophysical DNA binding model for PPARγ.
Main Results:
- Demonstrated a method to determine absolute TF copy numbers per nucleus, ranging from ~250 to >300,000.
- Observed significant dynamic range (up to fivefold) in TF abundance during adipocyte differentiation.
- Developed a model explaining PPARγ binding site dynamics, correlating with copy number and chromatin state.
Conclusions:
- The developed mass spectrometry assay provides a powerful tool for quantitative proteomics of TFs.
- TF abundance varies dramatically and dynamically, impacting gene regulation during differentiation.
- The PPARγ DNA binding model elucidates the interplay between TF levels, binding affinity, and chromatin accessibility.
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