Evidence map›Paper›PMID 27144304›Full record

ArticlePloS one2016

Digital Droplet Multiple Displacement Amplification (ddMDA) for Whole Genome Sequencing of Limited DNA Samples.

Minsoung Rhee, Yooli K Light, Robert J Meagher, Anup K Singh

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
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

27 citing papers in PubMed.

  1. Advances in single-cell long-read sequencing technologies.NAR genomics and bioinformatics · 2024
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Cell-Free Production Systems in Droplet Microfluidics.Advances in biochemical engineering/biotechnology · 2023
    Review
  8. COMicromachines · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Obtaining Genome Sequences of Mutualistic Bacteria in SingleInternational journal of molecular sciences · 2019
    Article
  14. Article
  15. Review
  16. Droplet microfluidics for high-sensitivity and high-throughput detection and screening of disease biomarkers.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2018
    Review
  17. Article
  18. Article
  19. Article
  20. Article
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

4 authors.

Minsoung RheeSandia National Laboratories, Biotechnology and Bioengineering Department, Livermore, California, United States of America.
Yooli K LightSandia National Laboratories, Biotechnology and Bioengineering Department, Livermore, California, United States of America.
Robert J MeagherSandia National Laboratories, Biotechnology and Bioengineering Department, Livermore, California, United States of America.
Anup K SinghSandia National Laboratories, Biotechnology and Bioengineering Department, Livermore, California, United States of America.

Funding

FISH "N" Chips: A Microfluidic Processor for Isolating and Analyzing MicrobesR01DE020891 · NIDCR · SANDIA CORP-SANDIA NATIONAL LABORATORIES · PI SINGH, ANUP K. · 2009 to 2012
$1.8M
NIDCR NIH HHS R01 DE020891
6 · The paper itself

Abstract

Multiple displacement amplification (MDA) is a widely used technique for amplification of DNA from samples containing limited amounts of DNA (e.g., uncultivable microbes or clinical samples) before whole genome sequencing. Despite its advantages of high yield and fidelity, it suffers from high amplification bias and non-specific amplification when amplifying sub-nanogram of template DNA. Here, we present a microfluidic digital droplet MDA (ddMDA) technique where partitioning of the template DNA into thousands of sub-nanoliter droplets, each containing a small number of DNA fragments, greatly reduces the competition among DNA fragments for primers and polymerase thereby greatly reducing amplification bias. Consequently, the ddMDA approach enabled a more uniform coverage of amplification over the entire length of the genome, with significantly lower bias and non-specific amplification than conventional MDA. For a sample containing 0.1 pg/μL of E. coli DNA (equivalent of ~3/1000 of an E. coli genome per droplet), ddMDA achieves a 65-fold increase in coverage in de novo assembly, and more than 20-fold increase in specificity (percentage of reads mapping to E. coli) compared to the conventional tube MDA. ddMDA offers a powerful method useful for many applications including medical diagnostics, forensics, and environmental microbiology.

Indexed as

DNA, BacterialEscherichia coliGenome, BacterialMicrofluidicsNucleic Acid Amplification TechniquesSequence Analysis, DNADNA, Bacterial

Identifiers

PMID27144304
PMCPMC4856258

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.