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Updated: Nov 18, 2025

Mapping the Structure-Function Relationships of Disordered Oncogenic Transcription Factors Using Transcriptomic Analysis
Published on: June 27, 2020
Mutational processes in cancer preferentially affect binding of particular transcription factors
Mo Liu1,2, Arnoud Boot1,2, Alvin W T Ng1,2
1Programme in Cancer and Stem Cell Biology, Duke-NUS Medical School, Singapore, Singapore.
Abstract:
Protein binding microarrays provide comprehensive information about the DNA binding specificities of transcription factors (TFs), and can be used to quantitatively predict the effects of DNA sequence variation on TF binding. There has also been substantial progress in dissecting the patterns of mutations, i.e., the "mutational signatures", generated by different mutational processes. By combining these two layers of information we can investigate whether certain mutational processes tend to preferentially affect binding of particular classes of TFs. Such preferential alterations of binding might predispose to particular oncogenic pathways. We developed and implemented a method, termed "Signature-QBiC", that integrates protein binding microarray data with the signatures of mutational processes, with the aim of predicting which TFs' binding profiles are preferentially perturbed by particular mutational processes. We used Signature-QBiC to predict the effects of 47 signatures of mutational processes on 582 human TFs. Pathway analysis showed that binding of TFs involved in NOTCH1 signaling is strongly affected by the signatures of several mutational processes, including exposure to ultraviolet radiation. Additionally, toll-like-receptor signaling pathways are also vulnerable to disruption by this exposure. This study provides a novel overview of the effects of mutational processes on TF binding and the potential of these processes to activate oncogenic pathways through mutating TF binding sites.
Insights
Mutational processes can alter transcription factor (TF) binding, potentially activating oncogenic pathways. Our study reveals how specific mutational signatures impact TF binding, highlighting risks for NOTCH1 and toll-like-receptor signaling pathways.
Area of Science:
- Genomics
- Cancer Biology
- Bioinformatics
Background:
- Transcription factors (TFs) regulate gene expression through DNA binding.
- Mutational signatures characterize DNA damage patterns from various processes.
- Understanding how mutations affect TF binding is crucial for cancer research.
Purpose of the Study:
- To develop a method integrating TF binding data and mutational signatures.
- To predict which TF binding profiles are preferentially altered by mutational processes.
- To investigate the link between mutational processes, TF binding disruption, and oncogenic pathways.
Main Methods:
- Developed and implemented the Signature-QBiC method.
- Integrated protein binding microarray data with mutational signatures.
- Applied Signature-QBiC to analyze 47 mutational signatures across 582 human TFs.
Main Results:
- Predicted preferential disruption of TF binding by specific mutational processes.
- Identified NOTCH1 signaling pathway TFs as strongly affected by multiple mutational signatures, including UV radiation.
- Found toll-like-receptor signaling pathways vulnerable to UV-induced disruption.
Conclusions:
- Novel overview of mutational process effects on TF binding.
- Demonstrated potential for mutational processes to activate oncogenic pathways by altering TF binding sites.
- Highlights specific pathway vulnerabilities, such as NOTCH1 and TLR signaling, to mutational damage.
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