Comparison of different methods to analyze a DNA computing library using the polymerase chain reaction

Cheryl P. Andam, Jonathan R. Driscoll, Jaime A. DiCesare, Tim N. Enke, Anthony J. Macula, Susannah Gal

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Screening and analysis of collections of DNA molecules is a standard aspect of many DNA computing approaches. We describe the use of three different polymerase chain reaction (PCR) detection methods to screen specific members of a 5-site, 2-variable DNA computing library previously created using parallel overlap assembly of unique sequences generated from the SynDCode program. The three PCR methods (conventional gel-based PCR, SYBR Green real-time PCR and TaqMan real-time PCR) could all successfully identify individual library members separately or in a mixture. The TaqMan approach was also able to identify members in the original library we had not yet sequenced, providing more evidence supporting our hypothesis that the DNA library we generated may be complete. We expect these three approaches will be useful in future screening of other DNA computing libraries and structures.

Original languageEnglish (US)
Pages (from-to)339-349
Number of pages11
JournalNatural Computing
Volume11
Issue number2
DOIs
StatePublished - Jun 1 2012

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Polymerase chain reaction
DNA
Screening
Gels
Molecules

All Science Journal Classification (ASJC) codes

  • Computer Science Applications

Cite this

Andam, Cheryl P. ; Driscoll, Jonathan R. ; DiCesare, Jaime A. ; Enke, Tim N. ; Macula, Anthony J. ; Gal, Susannah. / Comparison of different methods to analyze a DNA computing library using the polymerase chain reaction. In: Natural Computing. 2012 ; Vol. 11, No. 2. pp. 339-349.
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Comparison of different methods to analyze a DNA computing library using the polymerase chain reaction. / Andam, Cheryl P.; Driscoll, Jonathan R.; DiCesare, Jaime A.; Enke, Tim N.; Macula, Anthony J.; Gal, Susannah.

In: Natural Computing, Vol. 11, No. 2, 01.06.2012, p. 339-349.

Research output: Contribution to journalArticle

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