4.5 Article

An autonomously self-assembling dendritic DNA nanostructure for target DNA detection

期刊

BIOTECHNOLOGY JOURNAL
卷 8, 期 2, 页码 221-227

出版社

WILEY-V C H VERLAG GMBH
DOI: 10.1002/biot.201100499

关键词

DNA sequence detection; Hybridization cascade; Molecular self-assembly; Nanobiotechnology; Nucleic acids

资金

  1. NSF [CCF-1141847]
  2. NSF EMT [CCF-0829797, CCF-0829798]
  3. NSF-CCF [0829749]
  4. AFSOR [FA9550-08-1-0188]
  5. Direct For Computer & Info Scie & Enginr
  6. Division of Computing and Communication Foundations [1141847] Funding Source: National Science Foundation
  7. Direct For Computer & Info Scie & Enginr
  8. Division of Computing and Communication Foundations [0829749, 1320360] Funding Source: National Science Foundation

向作者/读者索取更多资源

There is a growing need for sensitive and reliable nucleic acid detection methods that are convenient and inexpensive. Responsive and programmable DNA nanostructures have shown great promise as chemical detection systems. Here, we describe a DNA detection system employing the triggered self-assembly of a novel DNA dendritic nanostructure. The detection protocol is executed autonomously without external intervention. Detection begins when a specific, single-stranded target DNA strand (T) triggers a hybridization chain reaction (HCR) between two, distinct DNA hairpins (alpha and beta). Each hairpin opens and hybridizes up to two copies of the other. In the absence of T, alpha and beta are stable and remain in their poised, closed-hairpin form. In the presence of T, a hairpins are opened by toe-hold mediated strand-displacement, each of which then opens and hybridizes two beta hairpins. Likewise, each opened beta hairpin can open and hybridize two a hairpins. Hence, each layer of the growing dendritic nanostructure can in principle accommodate an exponentially increasing number of cognate molecules, generating a high molecular weight nanostructure. This HCR system has minimal sequence constraints, allowing reconfiguration for the detection of arbitrary target sequences. Here, we demonstrate detection of unique sequence identifiers of HIV and Chlamydia pathogens.

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