DNA mismatches reveal conformational penalties in protein-DNA recognition.

dc.contributor.author

Afek, Ariel

dc.contributor.author

Shi, Honglue

dc.contributor.author

Rangadurai, Atul

dc.contributor.author

Sahay, Harshit

dc.contributor.author

Senitzki, Alon

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Xhani, Suela

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Fang, Mimi

dc.contributor.author

Salinas, Raul

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Mielko, Zachery

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Pufall, Miles A

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Poon, Gregory MK

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Haran, Tali E

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Schumacher, Maria A

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Al-Hashimi, Hashim M

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Gordân, Raluca

dc.date.accessioned

2022-06-07T12:32:08Z

dc.date.available

2022-06-07T12:32:08Z

dc.date.issued

2020-11

dc.date.updated

2022-06-07T12:31:58Z

dc.description.abstract

Transcription factors recognize specific genomic sequences to regulate complex gene-expression programs. Although it is well-established that transcription factors bind to specific DNA sequences using a combination of base readout and shape recognition, some fundamental aspects of protein-DNA binding remain poorly understood1,2. Many DNA-binding proteins induce changes in the structure of the DNA outside the intrinsic B-DNA envelope. However, how the energetic cost that is associated with distorting the DNA contributes to recognition has proven difficult to study, because the distorted DNA exists in low abundance in the unbound ensemble3-9. Here we use a high-throughput assay that we term SaMBA (saturation mismatch-binding assay) to investigate the role of DNA conformational penalties in transcription factor-DNA recognition. In SaMBA, mismatched base pairs are introduced to pre-induce structural distortions in the DNA that are much larger than those induced by changes in the Watson-Crick sequence. Notably, approximately 10% of mismatches increased transcription factor binding, and for each of the 22 transcription factors that were examined, at least one mismatch was found that increased the binding affinity. Mismatches also converted non-specific sites into high-affinity sites, and high-affinity sites into 'super sites' that exhibit stronger affinity than any known canonical binding site. Determination of high-resolution X-ray structures, combined with nuclear magnetic resonance measurements and structural analyses, showed that many of the DNA mismatches that increase binding induce distortions that are similar to those induced by protein binding-thus prepaying some of the energetic cost incurred from deforming the DNA. Our work indicates that conformational penalties are a major determinant of protein-DNA recognition, and reveals mechanisms by which mismatches can recruit transcription factors and thus modulate replication and repair activities in the cell10,11.

dc.identifier

10.1038/s41586-020-2843-2

dc.identifier.issn

0028-0836

dc.identifier.issn

1476-4687

dc.identifier.uri

https://hdl.handle.net/10161/25100

dc.language

eng

dc.publisher

Springer Science and Business Media LLC

dc.relation.ispartof

Nature

dc.relation.isversionof

10.1038/s41586-020-2843-2

dc.subject

Humans

dc.subject

DNA-Binding Proteins

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Saccharomyces cerevisiae Proteins

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Arabidopsis Proteins

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Transcription Factors

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Nucleic Acid Heteroduplexes

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Crystallography, X-Ray

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Nuclear Magnetic Resonance, Biomolecular

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Binding Sites

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Molecular Conformation

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Base Pairing

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Protein Binding

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Mutation

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Thermodynamics

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Models, Molecular

dc.title

DNA mismatches reveal conformational penalties in protein-DNA recognition.

dc.type

Journal article

duke.contributor.orcid

Salinas, Raul|0000-0001-9011-683X

duke.contributor.orcid

Mielko, Zachery|0000-0002-1935-9203

pubs.begin-page

291

pubs.end-page

296

pubs.issue

7833

pubs.organisational-group

Duke

pubs.organisational-group

School of Medicine

pubs.organisational-group

Trinity College of Arts & Sciences

pubs.organisational-group

Student

pubs.organisational-group

Staff

pubs.organisational-group

Basic Science Departments

pubs.organisational-group

Biochemistry

pubs.organisational-group

Biostatistics & Bioinformatics

pubs.organisational-group

Molecular Genetics and Microbiology

pubs.organisational-group

Computer Science

pubs.publication-status

Published

pubs.volume

587

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