scholarly journals Statistical Physics of DNA melting: Unveiling the artificial corrections for self-complementary sequences

2020 ◽  
Author(s):  
C. A. Plata ◽  
S. Marni ◽  
A. Maritan ◽  
T. Bellini ◽  
S. Suweis

ABSTRACTDNA hybridization is at the heart of countless biological and biotechnological processes. Its theoretical modeling played a crucial role, since it has enabled extracting the relevant thermodynamic parameters from systematic measurements of DNA melting curves. However, in its current state, hybridization modelling requires introducing an extra entropic contribution in self-complementary sequences that lacks any biophysical meaning. In this article, we propose a framework based on statistical physics to describe DNA hybridization and melting in an arbitrary mixture of DNA strands. In particular, we are able to analytically derive closed expressions of the system partition functions for any number N of strings, and explicitly calculate them in two paradigmatic situations: (i) a system made of self-complementary sequences and (ii) a system comprising two mutually complementary sequences. We derive the melting curve in the thermodynamic limit (N → ∞) of our description, which differs from the expression commonly used to evaluate the melting of self-complementary systems in that it does not require correcting terms. We provide a thorough study comprising limit cases and alternative approaches showing how our framework can give a comprehensive view of hybridization and melting phenomena.SIGNIFICANCEIn this study, we provide a transparent derivation of the melting curves of DNA duplexes using basic tools of statistical mechanics. We find that in the case of self-complementary sequences, our expression differs from the one used in literature, which is generally amended by the introduction of a phenomenological correction which in our approach becomes unnecessary. By offering a clean formal description of DNA hybridization, our approach sharpens our understanding of DNA interactions and opens the way to study the pairing of DNA oligomers away from any thermodynamic limit.

2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Adam Jermyn

The evaluation of partition functions is a central problem in statistical physics. For lattice systems and other discrete models the partition function may be expressed as the contraction of a tensor network. Unfortunately computing such contractions is difficult, and many methods to make this tractable require periodic or otherwise structured networks. Here I present a new algorithm for contracting unstructured tensor networks. This method makes no assumptions about the structure of the network and performs well in both structured and unstructured cases so long as the correlation structure is local.


2002 ◽  
Vol 737 ◽  
Author(s):  
Wensha Yang ◽  
Orlando Auciello ◽  
James E. Butler ◽  
Wei Cai ◽  
John A. Carlisle ◽  
...  

ABSTRACTNanocrystalline diamond thin films of sub-micron thickness have been covalently modified with DNA oligonucleotides. Quantitative studies of hybridization of surface-bound oligonucleotides with fluorescently tagged complementary and non-complementary oligonucleotides were performed. The results show no detectable nonspecific adsorption, with extremely good selectivity between matched and mismatched sequences. Impedance spectroscopy measurements were made of DNA-modified boron-doped nanocrystalline diamond films. The results show that exposure to non-complementary sequences induce only small changes in impedance, while complementary DNA sequences produce a pronounced decrease in impedance. The combination of high stability, selectivity, and the ability to directly detect DNA hybridization via electrical means suggest that diamond may be an ideal substrate for continuously-monitoring biological sensors.


2019 ◽  
Vol 24 (1) ◽  
Author(s):  
Hanliang Zhu ◽  
Huanan Li ◽  
Haoqing Zhang ◽  
Zdenka Fohlerova ◽  
Sheng Ni ◽  
...  

1984 ◽  
Vol 12 (10) ◽  
pp. 4339-4349 ◽  
Author(s):  
Sergei A. Kozyavkin ◽  
Yurii L. Lyubchenko

Biopolymers ◽  
1977 ◽  
Vol 16 (12) ◽  
pp. 2693-2704 ◽  
Author(s):  
Marshall Fixman ◽  
Juan J. Freire
Keyword(s):  

2006 ◽  
Vol 915 ◽  
Author(s):  
Joanna Aizenberg ◽  
Tom Krupenkin ◽  
Paul Kolodner

AbstractThis paper summarizes the results of experimental investigations of the feasibility of applying electrowetting-induced droplet self-oscillations to induce rapid mixing of small quantities of liquids. The concept was tested using video microscopy to monitor the mixing of passive colored dyes, of spatially-separated reactants that change color upon reaction, and of fluorescent DNA oligomers whose light emission vanishes upon hybridization with appropriately-functionalized complementary DNA strands. Droplet self-oscillation was found to increase the rate of mixing by factors ranging from 15 to 100 as compared with the rate of passive diffusion in undisturbed droplets. This demonstrates that self-oscillation-induced mixing is a viable method for substantially enhancing the speed of chemical reactions in general, and biochemical assays in particular, when performed in small volumes of liquids.


Open Physics ◽  
2011 ◽  
Vol 9 (1) ◽  
Author(s):  
Nguyen Hung ◽  
Dung Tran ◽  
Nguyen Toan ◽  
Barbara Kirchnner

AbstractA thermodynamic lattice theory has been developed for determination of the melting curves and eutectic points of binary alloys. Analytical expressions for the melting curves of binary alloys composed of constituent elements with the same structure have been derived from expressions for the ratio of root mean square fluctuation in atomic positions on the equilibrium lattice positions and the nearest neighbor distance. This melting curve provides information on Lindemann’s melting temperatures of binary alloys with respect to any proportion of constituent elements, as well as on their eutectic points. The theory has been applied to fcc and bcc structure. Numerical results for some binary alloys provide a good correspondence between the calculated and experimental phase diagrams, where the calculated results for Cu1−x Nix agree well with the measured ones, and those for the other alloys are found to be in a reasonable agreement with experiment.


Biopolymers ◽  
1975 ◽  
Vol 14 (7) ◽  
pp. 1551-1552 ◽  
Author(s):  
Yu. S. Lazurkin ◽  
Yu. L. Lyubchenko ◽  
V. M. Pavlov ◽  
M. D. Frank-Kamenetskii ◽  
I. V. Berestetskaya

Author(s):  
Theo Calais ◽  
Thileepan Stalin ◽  
Vincent S. Joseph ◽  
Pablo Valdivia y Alvarado

Abstract Structures and mechanisms in soft robotics are primarily based on chemically versatile species such as hydrogels, polymers, or elastomers, thus offering great potential for the design of adaptive core properties. In particular, tunable rigidity is highly desirable to enable control of soft grippers or for advanced robot locomotion. However, most of the strategies explored so far rely on mechanisms, such as phase transitions or shape memory effects, that require heavy external hardware or have a limited range of tunable rigidity. In this work, we propose a novel strategy inspired by the sea cucumber dermis mechanism. High aspect ratio carbon nanotubes (CNTs) are reversibly interconnected by DNA oligonucleotides within a polyacrylamide (PAAm) hydrogel. The combination of the excellent mechanical properties of CNTs and the reversible hybridization of DNA strands into a stable double-helicoidal structure allowed the reversible tunability of mechanical properties over one order of magnitude (from ∼100 Pa to ∼1 kPa) within minutes by increasing the temperature beyond the melting temperature of DNA strands (∼50 °C). First, the functionalization strategy of CNTs with DNA strands is described and characterized. The aggregation of CNTs driven by the DNA hybridization is then demonstrated. The mechanical properties of hydrogels functionalized with CNTs are finally analyzed using rheology measurements.


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