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Article
The ‘PREXCEL-Q Method’ for qPCR
International Journal of Biomedical Science
  • Jack M. Gallup, Iowa State University
  • Mark R. Ackermann, Iowa State University
Document Type
Article
Publication Date
12-1-2008
Abstract
The purpose of this manuscript is to describe a reliable approach to quantitative real-time polymerase chain reaction (qPCR) assay development and project management, which is currently embodied in the Excel 2003-based software program named “PREXCEL-Q” (P-Q) (formerly known as “FocusField2-6Gallup-qPCRSet-upTool-001,” “FF2-6-001 qPCR set-up tool” or “Iowa State University Research Foundation [ISURF] project #03407”). Since its inception from 1997-2007, the program has been well-received and requested around the world and was recently unveiled by its inventor at the 2008 Cambridge Healthtech Institute’s Fourth Annual qPCR Conference in San Diego, CA. P-Q was subsequently mentioned in a review article by Stephen A. Bustin, an acknowledged leader in the qPCR field. Due to its success and growing popularity, and the fact that P-Q introduces a unique/defined approach to qPCR, a concise description of what the program is and what it does has become important. Sample-related inhibitory problems of the qPCR assay, sample concentration limitations, nuclease-treatment, reverse transcription (RT) and master mix formulations are all addressed by the program, enabling investigators to quickly, consistently and confidently design uninhibited, dynamically-sound, LOG-linear-amplification-capable, high-efficiency-of-amplification reactions for any type of qPCR. The current version of the program can handle an infinite number of samples.
Comments

This article is from International Journal of Biomedical Science 4 (2008): 273–293.

Rights
This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.5/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Copyright Owner
Jack M. Gallup, et al.
Language
en
File Format
application/pdf
Citation Information
Jack M. Gallup and Mark R. Ackermann. "The ‘PREXCEL-Q Method’ for qPCR" International Journal of Biomedical Science Vol. 4 Iss. 4 (2008) p. 273 - 293
Available at: http://works.bepress.com/jack_gallup/38/