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Methods for the Preparation of Large Quantities of Complex Single-Stranded Oligonucleotide Libraries

Overview of attention for article published in PLOS ONE, April 2014
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Title
Methods for the Preparation of Large Quantities of Complex Single-Stranded Oligonucleotide Libraries
Published in
PLOS ONE, April 2014
DOI 10.1371/journal.pone.0094752
Pubmed ID
Authors

Yusuf E. Murgha, Jean-Marie Rouillard, Erdogan Gulari

Abstract

Custom-defined oligonucleotide collections have a broad range of applications in fields of synthetic biology, targeted sequencing, and cytogenetics. Also, they are used to encode information for technologies like RNA interference, protein engineering and DNA-encoded libraries. High-throughput parallel DNA synthesis technologies developed for the manufacture of DNA microarrays can produce libraries of large numbers of different oligonucleotides, but in very limited amounts. Here, we compare three approaches to prepare large quantities of single-stranded oligonucleotide libraries derived from microarray synthesized collections. The first approach, alkaline melting of double-stranded PCR amplified libraries with a biotinylated strand captured on streptavidin coated magnetic beads results in little or no non-biotinylated ssDNA. The second method wherein the phosphorylated strand of PCR amplified libraries is nucleolyticaly hydrolyzed is recommended when small amounts of libraries are needed. The third method combining in vitro transcription of PCR amplified libraries to reverse transcription of the RNA product into single-stranded cDNA is our recommended method to produce large amounts of oligonucleotide libraries. Finally, we propose a method to remove any primer binding sequences introduced during library amplification.

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The data shown below were compiled from readership statistics for 160 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Norway 1 <1%
Ireland 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Belgium 1 <1%
China 1 <1%
United States 1 <1%
Unknown 153 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 50 31%
Student > Ph. D. Student 40 25%
Student > Bachelor 14 9%
Student > Master 9 6%
Student > Doctoral Student 7 4%
Other 24 15%
Unknown 16 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 62 39%
Biochemistry, Genetics and Molecular Biology 46 29%
Chemistry 12 8%
Immunology and Microbiology 4 3%
Neuroscience 4 3%
Other 15 9%
Unknown 17 11%