Evidence map›Paper›PMID 37853017›Full record

ArticleNature communications2023

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 and 5 more

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
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  4. Review
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  10. Review
  11. A large-scale cancer-specific protein-DNA interaction network.bioRxiv : the preprint server for biology · 2024
    Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Anna BerensonDepartment of Biology, Boston University, Boston, MA, 02215, USA.ORCID http://orcid.org/0000-0002-3782-6186
Ryan LaneDepartment of Biology, Boston University, Boston, MA, 02215, USA.ORCID http://orcid.org/0009-0009-0513-9849
Luis F Soto-UgaldiTri-Institutional Program in Computational Biology and Medicine, New York, NY, USA.
Mahir PatelDepartment of Computer Science, Boston University, Boston, MA, 02215, USA.ORCID http://orcid.org/0000-0002-3370-4595
Cosmin CiausuDepartment of Computer Science, Boston University, Boston, MA, 02215, USA.
Zhaorong LiDepartment of Biology, Boston University, Boston, MA, 02215, USA.
Yilin ChenDepartment of Biology, Boston University, Boston, MA, 02215, USA.
Sakshi ShahDepartment of Biology, Boston University, Boston, MA, 02215, USA.
Clarissa SantosoDepartment of Biology, Boston University, Boston, MA, 02215, USA.
Xing LiuDepartment of Biology, Boston University, Boston, MA, 02215, USA.
Kerstin SpirohnCenter for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, 02215, USA.ORCID http://orcid.org/0000-0002-2071-1606
Tong HaoCenter for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, 02215, USA.ORCID http://orcid.org/0000-0001-7908-3256
David E HillCenter for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, 02215, USA.ORCID http://orcid.org/0000-0001-5192-0921
Marc VidalCenter for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
Juan I Fuxman BassDepartment of Biology, Boston University, Boston, MA, 02215, USA. fuxman@bu.edu.ORCID http://orcid.org/0000-0001-9457-1207

Funding

Rewiring of regulatory networks in breast cancer by transcription factor isoformsU01CA232161 · NCI · DANA-FARBER CANCER INST · PI BULYK, MARTHA L, FUXMAN BASS, JUAN IGNACIO · 2018 to 2022
$4.1M
Structure and Function of Immune Gene Regulatory NetworksR35GM128625 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI Juan Ignacio Fuxman Bass · 2018 to 2026
$4.0M
NCI NIH HHS U01 CA232161NIGMS NIH HHS R35 GM128625
6 · The paper itself

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.

Indexed as

Epstein-Barr Virus InfectionsTranscription FactorsBinding SitesDNAHerpesvirus 4, HumanHumansProtein BindingSaccharomyces cerevisiaeDNATranscription Factors

Identifiers

PMID37853017
PMCPMC10584920

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.