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Designing Randomized DNA Sequences Free of Restriction Enzyme Recognition Sites.
Storm, Audra J; Jensen, Paul A.
Afiliação
  • Storm AJ; Department of Bioengineering and Carl R. Woese Institute for Genomic Biology University of Illinois at Urbana-Champaign, 1206 West Gregory Drive, IGB 3137, MC-195, Urbana, IL 61801, USA.
  • Jensen PA; Department of Bioengineering and Carl R. Woese Institute for Genomic Biology University of Illinois at Urbana-Champaign, 1206 West Gregory Drive, IGB 3137, MC-195, Urbana, IL 61801, USA.
Biotechnol J ; 13(1)2018 Jan.
Article em En | MEDLINE | ID: mdl-28865135
DNA libraries containing random "barcodes" complicate synthetic biology workflows that utilize restriction enzymes since restriction sites can appear inside some barcodes. By removing bases at particular sites in the barcodes, it is possible to create semi-random pools of barcodes that do not contain any restriction sites. The challenge is to remove as few bases as possible to maximize the number of sequences in the pool while ensuring all sequences are free of restriction sites. The authors present CutFree, a computational approach to create pools of random DNA barcodes that lack a pre-defined set of restriction sites. The resulting pools can be inexpensively produced en masse with standard DNA synthesis techniques. CutFree is experimentally validated by blocking digestion of pools of barcodes designed to frequently contain restriction sites. Using CutFree, a pool of 1.3 billion barcodes that are free from recognition sites for 182 commercially available restriction enzymes is designed. CutFree is available as a software package and an online tool (http://jensenlab.net/tools).
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sequência de Bases / Código de Barras de DNA Taxonômico / Sequenciamento de Nucleotídeos em Larga Escala Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sequência de Bases / Código de Barras de DNA Taxonômico / Sequenciamento de Nucleotídeos em Larga Escala Idioma: En Ano de publicação: 2018 Tipo de documento: Article