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Robust Sub-nanomolar Library Preparation for High Throughput Next Generation Sequencing

Overview of attention for article published in BMC Genomics, May 2018
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Title
Robust Sub-nanomolar Library Preparation for High Throughput Next Generation Sequencing
Published in
BMC Genomics, May 2018
DOI 10.1186/s12864-018-4677-y
Pubmed ID
Authors

Wells W. Wu, Je-Nie Phue, Chun-Ting Lee, Changyi Lin, Lai Xu, Rong Wang, Yaqin Zhang, Rong-Fong Shen

Abstract

Current library preparation protocols for Illumina HiSeq and MiSeq DNA sequencers require ≥2 nM initial library for subsequent loading of denatured cDNA onto flow cells. Such amounts are not always attainable from samples having a relatively low DNA or RNA input; or those for which a limited number of PCR amplification cycles is preferred (less PCR bias and/or more even coverage). A well-tested sub-nanomolar library preparation protocol for Illumina sequencers has however not been reported. The aim of this study is to provide a much needed working protocol for sub-nanomolar libraries to achieve outcomes as informative as those obtained with the higher library input (≥ 2 nM) recommended by Illumina's protocols. Extensive studies were conducted to validate a robust sub-nanomolar (initial library of 100 pM) protocol using PhiX DNA (as a control), genomic DNA (Bordetella bronchiseptica and microbial mock community B for 16S rRNA gene sequencing), messenger RNA, microRNA, and other small noncoding RNA samples. The utility of our protocol was further explored for PhiX library concentrations as low as 25 pM, which generated only slightly fewer than 50% of the reads achieved under the standard Illumina protocol starting with > 2 nM. A sub-nanomolar library preparation protocol (100 pM) could generate next generation sequencing (NGS) results as robust as the standard Illumina protocol. Following the sub-nanomolar protocol, libraries with initial concentrations as low as 25 pM could also be sequenced to yield satisfactory and reproducible sequencing results.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 13%
Researcher 3 13%
Student > Ph. D. Student 3 13%
Student > Doctoral Student 2 9%
Professor > Associate Professor 2 9%
Other 3 13%
Unknown 7 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 35%
Biochemistry, Genetics and Molecular Biology 6 26%
Medicine and Dentistry 1 4%
Unknown 8 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 May 2018.
All research outputs
#14,390,935
of 23,047,237 outputs
Outputs from BMC Genomics
#5,728
of 10,697 outputs
Outputs of similar age
#185,551
of 326,669 outputs
Outputs of similar age from BMC Genomics
#128
of 252 outputs
Altmetric has tracked 23,047,237 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,697 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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We're also able to compare this research output to 252 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.