4.8 Article

microDuMIP: target-enrichment technique for microarray-based duplex molecular inversion probes

期刊

NUCLEIC ACIDS RESEARCH
卷 43, 期 5, 页码 -

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OXFORD UNIV PRESS
DOI: 10.1093/nar/gku1188

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资金

  1. Korea Health Industry Development Institute (KHIDI) [HI13C2163]
  2. Intelligent Synthetic Biology Center of Global Frontier Project [NRF-2012M3A6A8053632]
  3. National Research Foundation of Korea [NRF-2012-0009557]
  4. Ministry of Food and Drug Safety [13182MFDS707]
  5. Coperative ResearchProgram for Agriculture Science & Technology Development (Project title: Next-Generation BioGreen 21) Rural Development Administration, Republic of Korea [PJ009034012014]
  6. Rural Development Administration (RDA), Republic of Korea [PJ009034012014] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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Molecular inversion probe (MIP)-based capture is a scalable and effective target-enrichment technology that can use synthetic single-stranded oligonucleotides as probes. Unlike the straightforward use of synthetic oligonucleotides for low-throughput target capture, high-throughput MIP capture has required laborious protocols to generate thousands of single-stranded probes from DNA microarray because of multiple enzymatic steps, gel purifications and extensive PCR amplifications. Here, we developed a simple and efficient microarray-based MIP preparation protocol using only one enzyme with double-stranded probes and improved target capture yields by designing probes with overlapping targets and unique barcodes. To test our strategy, we produced 11 510 microarray-based duplex MIPs (microDuMIPs) and captured 3554 exons of 228 genes in a HapMap genomic DNA sample (NA12878). Under our protocol, capture performance and precision of calling were compatible to conventional MIP capture methods, yet overlapping targets and unique barcodes allowed us to precisely genotype with as little as 50 ng of input genomic DNA without library preparation. microDuMIP method is simpler and cheaper, allowing broader applications and accurate target sequencing with a scalable number of targets.

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