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An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing
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A programmable method for massively parallel targeted sequencing.

Erik S Hopmans1, Georges Natsoulis2, John M Bell1

  • 1Stanford Genome Technology Center, Stanford University, Palo Alto, CA 94304, USA.

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|May 1, 2014
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Summary
This summary is machine-generated.

We enhanced Oligonucleotide-Selective Sequencing for automated, targeted DNA capture and sequencing. This method improves data yield and accuracy for genomic analysis, including variant detection and cancer rearrangement identification.

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Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Targeted resequencing methods are crucial for efficient genomic analysis.
  • Previous iterations of Oligonucleotide-Selective Sequencing showed promise but required further optimization for broader application.

Purpose of the Study:

  • To report significant improvements and novel applications of Oligonucleotide-Selective Sequencing.
  • To develop a fully automated targeted sequencing platform.
  • To enhance the performance and accuracy of selective genome sequencing.

Main Methods:

  • Modification of sequencing flow cell surfaces in situ to capture specific genomic regions.
  • Utilization of a standard Illumina cBot fluidics station for automation.
  • Development of assays covering up to 1421 genes (5.5 Mb) with high targeting rates (up to 95%).

Main Results:

  • Achieved a 2-fold increase in on-target sequencing data yield and improved human genome read mapping.
  • Demonstrated high abundance uniformity (>90%) and targeting efficiency.
  • Successfully sequenced large continuous genomic loci (up to 1.5 Mb), genotyped SNPs, detected low-frequency variants (5% minor allele fraction), and determined cancer rearrangement breakpoints.

Conclusions:

  • The improved Oligonucleotide-Selective Sequencing approach offers high performance for targeted genome sequencing.
  • The platform provides configuration flexibility and high variant calling accuracy.
  • This method is suitable for sensitive variant detection and characterization of complex genomic rearrangements.