Literature DB >> 35880577

The stability and number of nucleating interactions determine DNA hybridization rates in the absence of secondary structure.

Sophie Hertel1, Richard E Spinney1,2, Stephanie Y Xu1, Thomas E Ouldridge3, Richard G Morris1,2, Lawrence K Lee1,4.   

Abstract

The kinetics of DNA hybridization are fundamental to biological processes and DNA-based technologies. However, the precise physical mechanisms that determine why different DNA sequences hybridize at different rates are not well understood. Secondary structure is one predictable factor that influences hybridization rates but is not sufficient on its own to fully explain the observed sequence-dependent variance. In this context, we measured hybridization rates of 43 different DNA sequences that are not predicted to form secondary structure and present a parsimonious physically justified model to quantify our observations. Accounting only for the combinatorics of complementary nucleating interactions and their sequence-dependent stability, the model achieves good correlation with experiment with only two free parameters. Our results indicate that greater repetition of Watson-Crick pairs increases the number of initial states able to proceed to full hybridization, with the stability of those pairings dictating the likelihood of such progression, thus providing new insight into the physical factors underpinning DNA hybridization rates.
© The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Year:  2022        PMID: 35880577      PMCID: PMC9371923          DOI: 10.1093/nar/gkac590

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   19.160


  67 in total

1.  Improved nearest-neighbor parameters for predicting DNA duplex stability.

Authors:  J SantaLucia; H T Allawi; P A Seneviratne
Journal:  Biochemistry       Date:  1996-03-19       Impact factor: 3.162

2.  Molecular beacons: probes that fluoresce upon hybridization.

Authors:  S Tyagi; F R Kramer
Journal:  Nat Biotechnol       Date:  1996-03       Impact factor: 54.908

3.  Predicting DNA duplex stability from the base sequence.

Authors:  K J Breslauer; R Frank; H Blöcker; L A Marky
Journal:  Proc Natl Acad Sci U S A       Date:  1986-06       Impact factor: 11.205

4.  Co-operative non-enzymic base recognition. I. Thermodynamics of the helix-coil transition of oligoriboadenylic acids at ACIDIC PH.

Authors:  M Eigen; D Pörschke
Journal:  J Mol Biol       Date:  1970-10-14       Impact factor: 5.469

5.  A Unified Dynamic Programming Framework for the Analysis of Interacting Nucleic Acid Strands: Enhanced Models, Scalability, and Speed.

Authors:  Mark E Fornace; Nicholas J Porubsky; Niles A Pierce
Journal:  ACS Synth Biol       Date:  2020-09-10       Impact factor: 5.110

Review 6.  Environmentally responsive plasmonic nanoassemblies for biosensing.

Authors:  Xiaoling Wu; Changlong Hao; Jatish Kumar; Hua Kuang; Nicholas A Kotov; Luis M Liz-Marzán; Chuanlai Xu
Journal:  Chem Soc Rev       Date:  2018-07-02       Impact factor: 54.564

7.  An order of magnitude faster DNA-PAINT imaging by optimized sequence design and buffer conditions.

Authors:  Florian Schueder; Johannes Stein; Florian Stehr; Alexander Auer; Bianca Sperl; Maximilian T Strauss; Petra Schwille; Ralf Jungmann
Journal:  Nat Methods       Date:  2019-10-07       Impact factor: 28.547

8.  Folding DNA into twisted and curved nanoscale shapes.

Authors:  Hendrik Dietz; Shawn M Douglas; William M Shih
Journal:  Science       Date:  2009-08-07       Impact factor: 47.728

9.  Self-assembly of DNA into nanoscale three-dimensional shapes.

Authors:  Shawn M Douglas; Hendrik Dietz; Tim Liedl; Björn Högberg; Franziska Graf; William M Shih
Journal:  Nature       Date:  2009-05-21       Impact factor: 49.962

10.  Tethered multifluorophore motion reveals equilibrium transition kinetics of single DNA double helices.

Authors:  Matthias Schickinger; Martin Zacharias; Hendrik Dietz
Journal:  Proc Natl Acad Sci U S A       Date:  2018-07-23       Impact factor: 11.205

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