Literature DB >> 27219463

Complex Thermodynamic Behavior of Single-Stranded Nucleic Acid Adsorption to Graphene Surfaces.

Srivathsan V Ranganathan1, Ken Halvorsen1, Chris A Myers1, Neil M Robertson1, Mehmet V Yigit1, Alan A Chen1.   

Abstract

In just over a decade since its discovery, research on graphene has exploded due to a number of potential applications in electronics, materials, and medicine. In its water-soluble form of graphene oxide, the material has shown promise as a biosensor due to its preferential absorption of single-stranded polynucleotides and fluorescence quenching properties. The rational design of these biosensors, however, requires an improved understanding of the binding thermodynamics and ultimately a predictive model of sequence-specific binding. Toward these goals, here we directly measured the binding of nucleosides and oligonucleotides to graphene oxide nanoparticles using isothermal titration calorimetry and used the results to develop molecular models of graphene-nucleic acid interactions. We found individual nucleosides binding KD values lie in the submillimolar range with binding order of rG < rA < rC < dT < rU, while 5mer and 15mer oligonucleotides had markedly higher binding affinities in the range of micromolar and submicromolar KD values, respectively. The molecular models developed here are calibrated to quantitatively reproduce the above-mentioned experimental results. For oligonucleotides, our model predicts complex binding features such as double-stacked bases and a decrease in the fraction of graphene stacked bases with increasing oligonucleotide length until plateauing beyond ∼10-15 nucleotides. These experimental and computational results set the platform for informed design of graphene-based biosensors, further increasing their potential and application.

Entities:  

Year:  2016        PMID: 27219463     DOI: 10.1021/acs.langmuir.6b00456

Source DB:  PubMed          Journal:  Langmuir        ISSN: 0743-7463            Impact factor:   3.882


  5 in total

1.  Rapid and ultrasensitive electromechanical detection of ions, biomolecules and SARS-CoV-2 RNA in unamplified samples.

Authors:  Liqian Wang; Xuejun Wang; Yungen Wu; Mingquan Guo; Chenjian Gu; Changhao Dai; Derong Kong; Yao Wang; Cong Zhang; Di Qu; Chunhai Fan; Youhua Xie; Zhaoqin Zhu; Yunqi Liu; Dacheng Wei
Journal:  Nat Biomed Eng       Date:  2022-02-07       Impact factor: 29.234

2.  Machine-Learning Single-Stranded DNA Nanoparticles for Bacterial Analysis.

Authors:  Nidhi Nandu; Christopher W Smith; Taha Bilal Uyar; Yu-Sheng Chen; Mahera J Kachwala; Muhan He; Mehmet V Yigit
Journal:  ACS Appl Nano Mater       Date:  2020-12-14

3.  Graphene Quantum Dot Oxidation Governs Noncovalent Biopolymer Adsorption.

Authors:  Sanghwa Jeong; Rebecca L Pinals; Bhushan Dharmadhikari; Hayong Song; Ankarao Kalluri; Debika Debnath; Qi Wu; Moon-Ho Ham; Prabir Patra; Markita P Landry
Journal:  Sci Rep       Date:  2020-04-27       Impact factor: 4.379

4.  Universal sensor array for highly selective system identification using two-dimensional nanoparticles.

Authors:  Mustafa Salih Hizir; Neil M Robertson; Mustafa Balcioglu; Esma Alp; Muhit Rana; Mehmet V Yigit
Journal:  Chem Sci       Date:  2017-06-16       Impact factor: 9.825

5.  Isolation and Characterization of a ssDNA Aptamer against Major Soluble Antigen of Renibacterium salmoninarum.

Authors:  Brady Layman; Brian Mandella; Jessica Carter; Haley Breen; John Rinehart; Anna Cavinato
Journal:  Molecules       Date:  2022-03-12       Impact factor: 4.411

  5 in total

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