Paired yeast one-hybrid assays to detect DNA-binding cooperativity and antagonism across transcription factors
Anna Berenson,
Ryan Lane,
Luis F. Soto-Ugaldi,
Mahir Patel,
Cosmin Ciausu,
Zhaorong Li,
Yilin Chen,
Sakshi Shah,
Clarissa Santoso,
Xing Liu,
Kerstin Spirohn,
Tong Hao,
David E. Hill,
Marc Vidal and
Juan I. Fuxman Bass ()
Additional contact information
Anna Berenson: Boston University
Ryan Lane: Boston University
Luis F. Soto-Ugaldi: Tri-Institutional Program in Computational Biology and Medicine
Mahir Patel: Boston University
Cosmin Ciausu: Boston University
Zhaorong Li: Boston University
Yilin Chen: Boston University
Sakshi Shah: Boston University
Clarissa Santoso: Boston University
Xing Liu: Boston University
Kerstin Spirohn: Dana-Farber Cancer Institute
Tong Hao: Dana-Farber Cancer Institute
David E. Hill: Dana-Farber Cancer Institute
Marc Vidal: Dana-Farber Cancer Institute
Juan I. Fuxman Bass: Boston University
Nature Communications, 2023, vol. 14, issue 1, 1-16
Abstract:
Abstract Cooperativity and antagonism between transcription factors (TFs) can drastically modify their binding to regulatory DNA elements. While mapping these relationships between TFs is important for understanding their context-specific functions, existing approaches either rely on DNA binding motif predictions, interrogate one TF at a time, or study individual TFs in parallel. Here, we introduce paired yeast one-hybrid (pY1H) assays to detect cooperativity and antagonism across hundreds of TF-pairs at DNA regions of interest. We provide evidence that a wide variety of TFs are subject to modulation by other TFs in a DNA region-specific manner. We also demonstrate that TF-TF relationships are often affected by alternative isoform usage and identify cooperativity and antagonism between human TFs and viral proteins from human papillomaviruses, Epstein-Barr virus, and other viruses. Altogether, pY1H assays provide a broadly applicable framework to study how different functional relationships affect protein occupancy at regulatory DNA regions.
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-42445-6
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DOI: 10.1038/s41467-023-42445-6
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