Evidence map›Paper›PMID 31867579›Full record

ArticleNAR genomics and bioinformatics2020

A novel use of random priming-based single-strand library preparation for whole genome sequencing of formalin-fixed paraffin-embedded tissue samples.

Emily A Saunderson, Ann-Marie Baker, Marc Williams, Kit Curtius, J Louise Jones, Trevor A Graham, Gabriella Ficz

Open access · goldAbstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 46% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Colorectal Cancer Archaeome: A Metagenomic Exploration, Tunisia.Current issues in molecular biology · 2023
    Article
  2. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Emily A SaundersonBarts Cancer Institute, John Vane Science Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.ORCID 0000-0003-2132-7785
Ann-Marie BakerBarts Cancer Institute, John Vane Science Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.
Marc WilliamsBarts Cancer Institute, John Vane Science Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.
Kit CurtiusBarts Cancer Institute, John Vane Science Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.
J Louise JonesBarts Cancer Institute, John Vane Science Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.
Trevor A GrahamBarts Cancer Institute, John Vane Science Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.
Gabriella FiczBarts Cancer Institute, John Vane Science Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.ORCID 0000-0001-9313-9578
Queen Mary University of London · GB

Funding

Cancer Research UK 19771Cancer Research UK A19771Medical Research Council MR/M01892X/1Medical Research Council MR/S003851/1
6 · The paper itself

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.

Identifiers

PMID31867579
PMCPMC6919645
OpenAlexW2994873185

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.