Transcription Factor Response Elements on Tip: A Sensitive Approach for Large-Scale Endogenous Transcription Factor
Wenhao Shi1,2, Kai Li2,3, Lei Song1,2
1School of Life Sciences, Tsinghua University , Beijing 100084, China.
Researchers developed a new method, transcription factor response elements on tip-mass spectrometry (TOT-MS), to quantitatively measure endogenous transcription factors (TFs). This rapid, high-throughput technique can identify hundreds of TFs from small samples, advancing biological process understanding.
Area of Science:
- Proteomics
- Molecular Biology
- Biochemistry
Background:
- Understanding endogenous transcription factor (TF) DNA binding activity at the proteome scale is crucial for deciphering biological processes.
- Existing methods may lack the sensitivity, throughput, or quantitative accuracy needed for comprehensive TF analysis.
Purpose of the Study:
- To introduce a novel, highly sensitive, rapid, and high-throughput approach for the quantitative measurement of endogenous transcription factors.
- To demonstrate the capability of the new method in analyzing dynamic changes in TF activity.
Main Methods:
- Developed transcription factor response elements on tip-mass spectrometry (TOT-MS), a method for quantitative measurement of endogenous TFs.
- Utilized TOT-MS coupled with on-tip small size reverse-phase liquid chromatography for enhanced TF identification.
- Applied the method to analyze TF dynamics within the epidermal growth factor (EGF) signaling pathway.
Main Results:
- Quantified 150 TFs from just 1 μg of nuclear extracts within 1 hour of machine time using TOT-MS.
- Identified up to 755 TFs, achieving a depth comparable to RNA-sequencing.
- Successfully demonstrated the method's utility by interrogating dynamic TF changes in the EGF signaling pathway.
Conclusions:
- TOT-MS provides a sensitive, rapid, and high-throughput solution for quantitative measurement of endogenous TFs.
- The approach enables deep TF profiling from limited biological material, comparable to RNA-seq depth.
- This method holds significant potential for broad applications in elucidating the TF landscape across various biological contexts.
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