4.8 Article

Overlapping but distinct: a new model for G-quadruplex biochemical specificity

期刊

NUCLEIC ACIDS RESEARCH
卷 49, 期 4, 页码 1816-1827

出版社

OXFORD UNIV PRESS
DOI: 10.1093/nar/gkab037

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资金

  1. IOCB Interdisciplinary Grant
  2. 'Chemical biology for drugging undruggable targets (ChemBioDrug)' from the European Regional Development Fund (OP RDE) [CZ.02.1.01/0.0/0.0/16 019/0000729]

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G-quadruplexes are noncanonical nucleic acid structures with diverse biological functions, each function having different sequence requirements. Mutations can significantly alter biochemical specificity, with mutations in tetrads having larger effects. Changes in specificity are correlated with changes in multimeric state. The sequence requirements of G-quadruplexes with different functions are overlapping but distinct.
G-quadruplexes are noncanonical nucleic acid structures formed by stacked guanine tetrads. They are capable of a range of functions and thought to play widespread biological roles. This diversity raises an important question: what determines the biochemical specificity of G-quadruplex structures? The answer is particularly important from the perspective of biological regulation because genomes can contain hundreds of thousands of G-quadruplexes with a range of functions. Here we analyze the specificity of each sequence in a 496-member library of variants of a reference G-quadruplex with respect to five functions. Our analysis shows that the sequence requirements of G-quadruplexes with these functions are different from one another, with some mutations altering biochemical specificity by orders of magnitude. Mutations in tetrads have larger effects than mutations in loops, and changes in specificity are correlated with changes in multimeric state. To complement our biochemical data we determined the solution structure of a monomeric G-quadruplex from the library. The stacked and accessible tetrads rationalize why monomers tend to promote a model peroxidase reaction and generate fluorescence. Our experiments support a model in which the sequence requirements of G-quadruplexes with different functions are overlapping but distinct. This has implications for biological regulation, bioinformatics, and drug design.

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