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OPUSeq simplifies detection of low-frequency DNA variants and uncovers fragmentase-associated artifacts.
Alekseenko, Alisa; Wang, Jingwen; Barrett, Donal; Pelechano, Vicent.
Afiliação
  • Alekseenko A; SciLifeLab, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Tomtebodavägen 23A, 17165, Solna, Sweden.
  • Wang J; SciLifeLab, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Tomtebodavägen 23A, 17165, Solna, Sweden.
  • Barrett D; SciLifeLab, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Tomtebodavägen 23A, 17165, Solna, Sweden.
  • Pelechano V; SciLifeLab, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Tomtebodavägen 23A, 17165, Solna, Sweden.
NAR Genom Bioinform ; 4(2): lqac048, 2022 Jun.
Article em En | MEDLINE | ID: mdl-35769342
ABSTRACT
Detection of low-frequency DNA variants (below 1%) is becoming increasingly important in biomedical research and clinical practice, but is challenging to do with standard sequencing approaches due to high error rates. The use of double-stranded unique molecular identifiers (dsUMIs) allows correction of errors by comparing reads arising from the same original DNA duplex. However, the implementation of such approaches is still challenging. Here, we present a novel method, one-pot dsUMI sequencing (OPUSeq), which allows incorporation of dsUMIs in the same reaction as the library PCR. This obviates the need for adapter pre-synthesis or additional enzymatic steps. OPUSeq can be incorporated into standard DNA library preparation approaches and coupled with hybridization target capture. We demonstrate successful error correction and detection of variants down to allele frequency of 0.01%. Using OPUSeq, we also show that the use of enzymatic fragmentation can lead to the appearance of spurious double-stranded variants, interfering with detection of variant fractions below 0.1%.

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Risk_factors_studies Idioma: En Revista: NAR Genom Bioinform Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Suécia

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Risk_factors_studies Idioma: En Revista: NAR Genom Bioinform Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Suécia