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Updated: Jul 3, 2025

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
Published on: October 19, 2021
A large-scale cancer-specific protein-DNA interaction network
Yunwei Lu1, Anna Berenson1,2, Ryan Lane1
1Biology Department, Boston University, Boston, MA, 02215, USA.
Abstract:
Cancer development and progression are generally associated with dysregulation of gene expression, often resulting from changes in transcription factor (TF) sequence or expression. Identifying key TFs involved in cancer gene regulation provides a framework for potential new therapeutics. This study presents a large-scale cancer gene TF-DNA interaction network as well as an extensive promoter clone resource for future studies. Most highly connected TFs do not show a preference for binding to promoters of genes associated with either good or poor cancer prognosis, suggesting that emerging strategies aimed at shifting gene expression balance between these two prognostic groups may be inherently complex. However, we identified potential for oncogene targeted therapeutics, with half of the tested oncogenes being potentially repressed by influencing specific activator or bifunctional TFs. Finally, we investigate the role of intrinsically disordered regions within the key cancer-related TF estrogen receptor ɑ (ESR1) on DNA binding and transcriptional activity, and found that these regions can have complex trade-offs in TF function. Altogether, our study not only broadens our knowledge of TFs involved in the cancer gene regulatory network but also provides a valuable resource for future studies, laying a foundation for potential therapeutic strategies targeting TFs in cancer.
Insights
Identifying key transcription factors (TFs) in cancer gene regulation offers therapeutic targets. This study maps TF-DNA interactions, revealing potential for oncogene repression and insights into TF function, aiding future cancer therapy development.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Cancer progression involves gene expression dysregulation, often driven by transcription factors (TFs).
- Identifying cancer-associated TFs is crucial for developing novel therapeutic strategies.
- Understanding TF-DNA interactions provides a framework for targeted cancer treatments.
Approach:
- Constructed a large-scale cancer gene TF-DNA interaction network.
- Developed an extensive promoter clone resource for future research.
- Investigated the role of intrinsically disordered regions in estrogen receptor alpha (ESR1) function.
Key Points:
- Highly connected TFs did not preferentially bind to promoters of genes linked to good or poor cancer prognosis.
- Half of the tested oncogenes showed potential for repression by targeting specific activator or bifunctional TFs.
- Intrinsically disordered regions in ESR1 exhibit complex trade-offs in DNA binding and transcriptional activity.
Conclusions:
- The study expands knowledge of TFs within the cancer gene regulatory network.
- Provides a valuable resource for future research into TF-driven cancer mechanisms.
- Lays the foundation for developing TF-targeting therapeutics for cancer treatment.
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