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Multiplexed SNP genotyping using nanobarcode particle technology

  • Michael Y. Sha
  • , Ian D. Walton
  • , Scott M. Norton
  • , Micah Taylor
  • , Mark Yamanaka
  • , Michael J. Natan
  • , Chongjun Xu
  • , Snezana Drmanac
  • , Steve Huang
  • , Adam Borcherding
  • , Radoje Drmanac
  • , Sharron G. Penn
  • Nanoplex Technologies, Inc.
  • Callida Genomics Inc

Research output: Contribution to journalArticlepeer-review

60 Scopus citations

Abstract

Single-nucleotide polymorphisms (SNP) are the most common form of sequence variation in the human genome. Large-scale studies demand high-throughput SNP genotyping platforms. Here we demonstrate the potential of encoded nanowires for use in a particles-based universal array for high-throughput SNP genotyping. The particles are encoded sub-micron metallic nanorods manufactured by electroplating inert metals such as gold and silver into templates and releasing the resulting striped nanoparticles. The power of this technology is that the particles are intrinsically encoded by virtue of the different reflectivity of adjacent metal stripes, enabling the generation of many thousands of unique encoded substrates. Using SNP found within the cytochrome P450 gene family, and a universal short oligonucleotide ligation strategy, we have demonstrated the simultaneous genotyping of 15 SNP; a format requiring discrimination of 30 encoded nanowires (one per allele). To demonstrate applicability to real-world applications, 160 genotypes were determined from multiplex PCR products from 20 genomic DNA samples.

Original languageEnglish
Pages (from-to)658-666
Number of pages9
JournalAnalytical and Bioanalytical Chemistry
Volume384
Issue number3
DOIs
StatePublished - Feb 2006
Externally publishedYes

Bibliographical note

Funding Information:
Acknowledgements We would like to thank Glenn Davis for developing the NBSee Software and SNP database software for nanowire decoding and SNP data analysis, Griff Freeman, Frances Wong, Barry Simkins, and Gabriela Chakarova for expertise in nanowire synthesis, and Jay Shafto for help in robotic probe handling and probe validation. This work was funded by the National Institute of Standards and Technology (Grant 70NANB1H3028).

Funding

Acknowledgements We would like to thank Glenn Davis for developing the NBSee Software and SNP database software for nanowire decoding and SNP data analysis, Griff Freeman, Frances Wong, Barry Simkins, and Gabriela Chakarova for expertise in nanowire synthesis, and Jay Shafto for help in robotic probe handling and probe validation. This work was funded by the National Institute of Standards and Technology (Grant 70NANB1H3028).

FundersFunder number
National Institute of Standards and Technology70NANB1H3028

    Keywords

    • Cytochrome P450
    • Encoded particles
    • Nanotechnology
    • Nanowires
    • SNP genotyping

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