A novel use of random priming-based single-strand library preparation for whole genome sequencing of formalin-fixed paraffin-embedded tissue samples. Issue 1 (16th December 2019)
- Record Type:
- Journal Article
- Title:
- A novel use of random priming-based single-strand library preparation for whole genome sequencing of formalin-fixed paraffin-embedded tissue samples. Issue 1 (16th December 2019)
- Main Title:
- A novel use of random priming-based single-strand library preparation for whole genome sequencing of formalin-fixed paraffin-embedded tissue samples
- Authors:
- Saunderson, Emily A
Baker, Ann-Marie
Williams, Marc
Curtius, Kit
Jones, J Louise
Graham, Trevor A
Ficz, Gabriella - Abstract:
- Abstract: The desire to analyse limited amounts of biological material, historic samples and rare cell populations has collectively driven the need for efficient methods for whole genome sequencing (WGS) of limited amounts of poor quality DNA. Most protocols are designed to recover double-stranded DNA (dsDNA) by ligating sequencing adaptors to dsDNA with or without subsequent polymerase chain reaction amplification of the library. While this is sufficient for many applications, limited DNA requires a method that can recover both single-stranded DNA (ssDNA) and dsDNA. Here, we present a WGS library preparation method, called 'degraded DNA adaptor tagging' (DDAT), adapted from a protocol designed for whole genome bisulfite sequencing. This method uses two rounds of random primer extension to recover both ssDNA and dsDNA. We show that by using DDAT we can generate WGS data from formalin-fixed paraffin-embedded (FFPE) samples using as little as 2 ng of highly degraded DNA input. Furthermore, DDAT WGS data quality was higher for all FFPE samples tested compared to data produced using a standard WGS library preparation method. Therefore, the DDAT method has potential to unlock WGS data from DNA previously considered impossible to sequence, broadening opportunities to understand the role of genetics in health and disease.
- Is Part Of:
- NAR genomics and bioinformatics. Volume 2:Issue 1(2020)
- Journal:
- NAR genomics and bioinformatics
- Issue:
- Volume 2:Issue 1(2020)
- Issue Display:
- Volume 2, Issue 1 (2020)
- Year:
- 2020
- Volume:
- 2
- Issue:
- 1
- Issue Sort Value:
- 2020-0002-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2019-12-16
- Subjects:
- Genomics -- Periodicals
Bioinformatics -- Periodicals
572.8 - Journal URLs:
- http://www.oxfordjournals.org/ ↗
https://academic.oup.com/nargab ↗ - DOI:
- 10.1093/nargab/lqz017 ↗
- Languages:
- English
- ISSNs:
- 2631-9268
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20872.xml