DNA origami-based shape IDs for single-molecule nanomechanical genotyping

被引:0
|
作者
Honglu Zhang
Jie Chao
Dun Pan
Huajie Liu
Yu Qiang
Ke Liu
Chengjun Cui
Jianhua Chen
Qing Huang
Jun Hu
Lianhui Wang
Wei Huang
Yongyong Shi
Chunhai Fan
机构
[1] Shanghai Synchrotron Radiation Facility,Division of Physical Biology and Bioimaging Center
[2] CAS Key Laboratory of Interfacial Physics and Technology,undefined
[3] Shanghai Institute of Applied Physics,undefined
[4] Chinese Academy of Sciences,undefined
[5] Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education),undefined
[6] Bio-X Institutes,undefined
[7] Shanghai Jiao Tong University,undefined
[8] Key Laboratory for Organic Electronics and Information Displays (KLOEID),undefined
[9] Institute of Advanced Materials (IAM),undefined
[10] School of Materials Science and Engineering,undefined
[11] Nanjing University of Posts and Telecommunications,undefined
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Variations on DNA sequences profoundly affect how we develop diseases and respond to pathogens and drugs. Atomic force microscopy (AFM) provides a nanomechanical imaging approach for genetic analysis with nanometre resolution. However, unlike fluorescence imaging that has wavelength-specific fluorophores, the lack of shape-specific labels largely hampers widespread applications of AFM imaging. Here we report the development of a set of differentially shaped, highly hybridizable self-assembled DNA origami nanostructures serving as shape IDs for magnified nanomechanical imaging of single-nucleotide polymorphisms. Using these origami shape IDs, we directly genotype single molecules of human genomic DNA with an ultrahigh resolution of ∼10 nm and the multiplexing ability. Further, we determine three types of disease-associated, long-range haplotypes in samples from the Han Chinese population. Single-molecule analysis allows robust haplotyping even for samples with low labelling efficiency. We expect this generic shape ID-based nanomechanical approach to hold great potential in genetic analysis at the single-molecule level.
引用
收藏
相关论文
共 50 条
  • [1] DNA origami-based shape IDs for single-molecule nanomechanical genotyping
    Zhang, Honglu
    Chao, Jie
    Pan, Dun
    Liu, Huajie
    Qiang, Yu
    Liu, Ke
    Cui, Chengjun
    Chen, Jianhua
    Huang, Qing
    Hu, Jun
    Wang, Lianhui
    Huang, Wei
    Shi, Yongyong
    Fan, Chunhai
    NATURE COMMUNICATIONS, 2017, 8
  • [2] Single-molecule genotyping with nanoscale DNA shape IDs
    Hongzhou Gu
    Science China(Chemistry), 2017, (08) : 1111 - 1112
  • [3] Single-molecule genotyping with nanoscale DNA shape IDs
    Hongzhou Gu
    Science China(Chemistry), 2017, 60 (08) : 1111 - 1112
  • [4] Single-molecule genotyping with nanoscale DNA shape IDs
    Hongzhou Gu
    Science China Chemistry, 2017, 60 : 1111 - 1112
  • [5] Single-molecule genotyping with nanoscale DNA shape IDs
    Gu, Hongzhou
    SCIENCE CHINA-CHEMISTRY, 2017, 60 (08) : 1111 - 1112
  • [6] DNA Origami-Based Single-Molecule CRISPR Machines for Spatially Resolved Searching
    Hao, Yaya
    Li, Mingqiang
    Zhang, Qian
    Shi, Jiye
    Li, Jiang
    Li, Qian
    Fan, Chunhai
    Wang, Fei
    ANGEWANDTE CHEMIE-INTERNATIONAL EDITION, 2022, 61 (34)
  • [7] A DNA origami-based single-molecule assay for multidentate protein-pharmacophore binding
    Kielar, C.
    Reddavide, F. V.
    Tubbenhauer, S.
    Grundmeier, G.
    Zhang, Y.
    Keller, A.
    EUROPEAN BIOPHYSICS JOURNAL WITH BIOPHYSICS LETTERS, 2017, 46 : S303 - S303
  • [8] Single-molecule DNA logic nanomachines based on origami
    Liu, Yunyi
    Hu, Xiaoxiao
    Fu, Ting
    Wang, Ruowen
    Tan, Weihong
    SCIENCE CHINA-CHEMISTRY, 2019, 62 (04) : 407 - 408
  • [9] Single-molecule DNA logic nanomachines based on origami
    Yunyi Liu
    Xiaoxiao Hu
    Ting Fu
    Ruowen Wang
    Weihong Tan
    Science China Chemistry, 2019, 62 : 407 - 408
  • [10] Single-molecule DNA logic nanomachines based on origami
    Yunyi Liu
    Xiaoxiao Hu
    Ting Fu
    Ruowen Wang
    Weihong Tan
    ScienceChina(Chemistry), 2019, 62 (04) : 407 - 408