Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/79512
Title: Quantifying 35 transcripts in a single tube : model-based calibration of the GeXP multiplex RT-PCR assay
Author(s): Marquardt, Pauline
Werthmann, Britta
Rätzel, Viktoria
Haas, Markus
Marwan, Wolfgang
Issue Date: 2021
Type: Article
Language: English
URN: urn:nbn:de:gbv:ma9:1-1981185920-814661
Subjects: Multiplex RT-PCR
DNA fragment analysis
Capillary electrophoresis
Cell differentiation
Marker genes
Physarum polycephalum
Abstract: Background: Quantitative analysis of differential gene expression is of central importance in molecular life sciences. The Gene eXpression Profiling technology (GeXP) relies on multiplex RT-PCR and subsequent capillary electrophoretic separation of the amplification products and allows to quantify the transcripts of at least 35 genes with a single reaction and one dye. Results: We provide a kinetic model of primer binding and PCR product formation as the rational basis for taking and evaluating calibration curves. The calibration procedure and the model predictions were validated with the help of a purposefully designed data processing workflow supported by easy-to-use Perl scripts for calibration, data evaluation, and quality control. We further demonstrate the robustness and linearity of quantification of individual transcripts at variable relative abundance of other co-amplified transcripts in a complex mixture of RNAs isolated from differentiating Physarum polycephalum plasmodial cells. Conclusions: We conclude that GeXP analysis is a robust, sensitive, and useful method when the transcripts of tens to few hundred genes are to be precisely quantified in a high number of samples.
URI: https://opendata.uni-halle.de//handle/1981185920/81466
http://dx.doi.org/10.25673/79512
Open Access: Open access publication
License: (CC BY 4.0) Creative Commons Attribution 4.0(CC BY 4.0) Creative Commons Attribution 4.0
Sponsor/Funder: OVGU-Publikationsfonds 2021
Journal Title: BMC biotechnology
Publisher: BioMed Central
Publisher Place: London
Volume: 21
Issue: 2021
Original Publication: 10.1186/s12896-021-00689-4
Page Start: 1
Page End: 15
Appears in Collections:Fakultät für Naturwissenschaften (OA)

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