Evidence map›Paper›PMID 23814501›Full record

ArticleJournal of biomolecular techniques : JBT2013

Fragmentation of genomic DNA using microwave irradiation.

Yu Yang, Jun Hang

Open access · bronzeAbstract read
In one paragraph

Article in Journal of biomolecular techniques : JBT, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

6 citing papers in PubMed, 16 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Yu YangViral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, Maryland 20910, USA.
Jun Hang
Walter Reed Army Institute of Research · US

Funding

A Novel Method for DNA FragmentationR03HG005774 · NHGRI · WALTER REED ARMY INSTITUTE OF RESEARCH · PI HANG, JUN · 2010 to 2011
$109k
NHGRI NIH HHS 7R03HG005774NHGRI NIH HHS R03 HG005774
6 · The paper itself

Abstract

An unconventional approach for DNA fragmentation was investigated to explore its feasibility as an alternative to the existing DNA fragmentation techniques for next-generation DNA sequencing application. Current methods are based on strong-force liquid shearing or specialized enzymatic treatments. There are shortcomings for these platforms yet to be addressed, including aerosolization of genomic materials, which may result in the cross-contamination and biohazards; the difficulty in multiplexing; and the potential sequence biases. In this proof-of-concept study, we investigated the microwave irradiation as a simple, unbiased, and easy-to-multiplex way to fragment genomic DNA randomly. In addition, heating DNA at high temperature was attempted for the same purpose and for comparison. Adaptive focused acoustic sonication was used as the control. The yield and functionality for the DNA fragments and DNA fragment libraries were analyzed to assess the feasibility and use of the proposed approach. Both microwave irradiation and thermal heating can fragment genomic DNA to the size ranges suitable for next-generation sequencing (NGS) shotgun library preparation. However, both treatments caused severe reduction in PCR amplification efficiency, which led to low production in emulsion PCR (emPCR). The result was improved by amplification prior to emPCR. Further improvements, such as DNA strand repairing, are needed for the method to be applied practically in NGS.

Indexed as

MicrowavesDNADNA FragmentationGene LibraryGenomicsHigh-Throughput Nucleotide SequencingDNAgenome sequencingnext-generation sequencingrandom DNA fragmentation

Identifiers

PMID23814501
PMCPMC3671502
OpenAlexW2058841769

What OpenQuestion holds

Textmetadata
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.