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2005 | 52 | 4 |

Tytuł artykułu

Influence of reagent formulation on mRNA quantification by RT-PCR using imported external standard curves

Autorzy

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
Use of an imported external standard curve is common in real-time quantitative RT-PCR. Two practical strategies for long-term experiments include importing a grand mean standard curve to all accumulated runs or using daily imported standard curves, fixing the slope at the beginning of the experiment and calibrating successive runs with curves generated from this imported slope, adding a single standard that registers the variation in the y-intercept. This study determines the influence that a change in reagent lots has on these two calibration approaches when determining mRNA copy numbers of the ornithine decarboxylase and porphobilinogen deaminase genes. Two sets of determinations were run with the use of lot A and lot B. A marked decrease in the crossing points (Cp) in the standards for both genes at all concentration levels was observed with the change in lots. A grand mean standard curve was generated for each gene and each set and comparisons between the sets were performed. Statistically significant differences were found with respect to the y-intercept but not the slope, suggesting that the change of reagent lot affected the detection sensitivity but not the efficiency of the reaction. The excellent correlation coefficients obtained for these curves for each gene were not achieved when overall data from both sets were combined to generate an overall grand mean standard curve. We conclude that when faced with a change of RT-PCR reagent lot that will affect the detection sensitivity of the method, samples should be calculated with either the daily imported standard curves or with the respective grand mean standard curve for each lot.

Wydawca

-

Rocznik

Tom

52

Numer

4

Opis fizyczny

p.845-848,fig.,ref.

Twórcy

autor
  • Centro de Investigaciones Biologicas y Biologia Molecular, Hospital General Vall d'Hebron, Barcelona, Spain
autor

Bibliografia

  • Brabender J, Lord RV, Daneneberg KD et al. (2001) Upregulation of ornithine decarboxylase mRNA expression in Barrett’s esophagus and Barrett’s associated adenocarcinoma. J Gastrointestinal Surg 5: 174–178.
  • Burgos JS, Ramirez C, Tenorio R, Sastre I, Bullido MJ (2002) Influence of reagents formulation on real-time PCR parameters. Mol Cell Probes 16: 257–260.
  • Johnson MR, Wang K, Smith JB, Heslin MJ, Diasio RB (2000) Quantitation of dihydropyrimidine dehydrogenase expression by real-time reverse transcription polymerase chain reaction. Anal Biochem 278: 175–184.
  • Kühne BS, Oschmann P (2002) Quantitative real-time RTPCR using hybridization probes and imported standard curves for cytokine gene expression analysis. Biotechniques 33: 1080–1084.
  • Liu W, Saint DA (2002) A new quantitative method of real time reverse transcription polymerase chain reaction assay based on simulation of polymerase chain reaction kinetics. Anal Biochem 302: 52–59.
  • Orta X, Balsells J, Olsina J, Venereo Y, Segovia-Silvestre T, Farriol M (2002) Quantitative analysis of ornithine decarboxylase mRNA by reverse transcription-PCR with the Light-Cycler system. Clin Chem 48: 1779–1781.
  • Ovstebo R, Foss KB, Lande K, Kierulf P (2003) PCR-based calibration curves for studies of quantitative gene expression in human monocytes development and evaluation. Clin Chem 49: 425–432.
  • Pfaffl MW (2001) A new mathematical model for relative quantification in real-time RT-PCR. Nucleic Acids Res 29: 2002–2027.
  • Rasmussen R (2001) Quantification on the LightCycler. In Rapid Cycle Real-Time PCR, Methods and Applications. Meuer S, Wittwer C, Nakagawara K, eds, pp 21–24. Springer Press, Heidelberg.
  • Rasmussen R (2004) In: http//www.idahotech.com/lightcycler_ u/lectures.
  • Shantz LM (2004) Transcriptional and translational control of ornithine decarboxylase during Ras transformation. Biochem J 377 (Pt 1): 257–264.

Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

bwmeta1.element.agro-article-14a353ba-49c3-491a-a1a3-671d3284cb32
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