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Multiplexed array-based and in-solution genomic enrichment for flexible and cost-effective targeted next-generation sequencing

  • Magdalena Harakalova
  • , Michal Mokry
  • , Barbara Hrdlickova
  • , Ivo Renkens
  • , Karen Duran
  • , Henk Van Roekel
  • , Nico Lansu
  • , Mark Van Roosmalen
  • , Ewart De Bruijn
  • , Isaac J. Nijman
  • , Wigard P. Kloosterman
  • , Edwin Cuppen

Research output: Contribution to journalArticlepeer-review

63 Citations (Scopus)

Abstract

The unprecedented increase in the throughput of DNA sequencing driven by next-generation technologies now allows efficient analysis of the complete protein-coding regions of genomes (exomes) for multiple samples in a single sequencing run. However, sample preparation and targeted enrichment of multiple samples has become a rate-limiting and costly step in high-throughput genetic analysis. Here we present an efficient protocol for parallel library preparation and targeted enrichment of pooled multiplexed bar-coded samples. The procedure is compatible with microarray-based and solution-based capture approaches. The high flexibility of this method allows multiplexing of 3-5 samples for whole-exome experiments, 20 samples for targeted footprints of 5 Mb and 96 samples for targeted footprints of 0.4 Mb. From library preparation to post-enrichment amplification, including hybridization time, the protocol takes 5-6 d for array-based enrichment and 3-4 d for solution-based enrichment. Our method provides a cost-effective approach for a broad range of applications, including targeted resequencing of large sample collections (e.g., follow-up genome-wide association studies), and whole-exome or custom mini-genome sequencing projects. This protocol gives details for a single-tube procedure, but scaling to a manual or automated 96-well plate format is possible and discussed.

Original languageEnglish
Pages (from-to)1870-1886
Number of pages17
JournalNature protocols
Volume6
Issue number12
DOIs
Publication statusPublished - Dec 2011
Externally publishedYes

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