The ‘PREXCEL-Q Method’ for qPCR
dc.contributor.author | Ackermann, Mark | |
dc.contributor.author | Gallup, Jack | |
dc.contributor.department | Veterinary Pathology | |
dc.date | 2018-02-13T19:39:29.000 | |
dc.date.accessioned | 2020-07-07T05:15:59Z | |
dc.date.available | 2020-07-07T05:15:59Z | |
dc.date.copyright | Tue Jan 01 00:00:00 UTC 2008 | |
dc.date.embargo | 2014-01-20 | |
dc.date.issued | 2008-12-01 | |
dc.description.abstract | <p>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.</p> | |
dc.description.comments | <p>This article is from <em>International Journal of Biomedical</em> Science<strong></strong> 4 (2008): 273–293.</p> | |
dc.format.mimetype | application/pdf | |
dc.identifier | archive/lib.dr.iastate.edu/vpath_pubs/55/ | |
dc.identifier.articleid | 1056 | |
dc.identifier.contextkey | 5001240 | |
dc.identifier.s3bucket | isulib-bepress-aws-west | |
dc.identifier.submissionpath | vpath_pubs/55 | |
dc.identifier.uri | https://dr.lib.iastate.edu/handle/20.500.12876/92481 | |
dc.language.iso | en | |
dc.source.bitstream | archive/lib.dr.iastate.edu/vpath_pubs/55/2008_GallupJM_PREXECELQMethod.pdf|||Sat Jan 15 00:54:52 UTC 2022 | |
dc.subject.disciplines | Veterinary Pathology and Pathobiology | |
dc.subject.keywords | PCR | |
dc.subject.keywords | qPCR | |
dc.subject.keywords | RT | |
dc.subject.keywords | gene expression | |
dc.subject.keywords | inhibition | |
dc.subject.keywords | RNA integrity | |
dc.subject.keywords | micro-array | |
dc.subject.keywords | real-time PCR | |
dc.subject.keywords | software | |
dc.title | The ‘PREXCEL-Q Method’ for qPCR | |
dc.type | article | |
dc.type.genre | article | |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | 86c1ed73-b60d-48ce-8f35-449bc320a693 | |
relation.isAuthorOfPublication | ef246218-d0a8-4526-8d8b-4fac40c21ae7 | |
relation.isOrgUnitOfPublication | cf38d7e3-b5f8-4859-83e3-ae8fab6a4c5f |
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