title: Relative transcript quantification by quantitative PCR: roughly right or precisely wrong?
abstract: BACKGROUND
  When estimating relative transcript abundances by quantitative real-time PCR (Q-PCR) we found that the results can vary dramatically depending on the method chosen for data analysis.
  
  
  RESULTS
  Analyses of Q-PCR results from a salmon louse starvation experiment show that, even with apparently good raw data, different analytical approaches 12 may lead to opposing biological conclusions.
  
  
  CONCLUSIONS
  The results emphasise the importance of being cautious when analysing Q-PCR data and indicate that uncritical routine application of an analytical method will eventually result in incorrect conclusions. We do not know the extent of, or have a universal solution to this problem. However, we strongly recommend caution when analysing Q-PCR results e.g. by using two or more analytical approaches to validate conclusions. In our view a common effort should be made to standardise methods for analysis and validation of Q-PCR results.
authors.affiliation: Marine Genome Biology, Institute of Marine Research, N-5817 Bergen, Norway. rasmus.skern@imr.no
authors.forename: Rasmus
authors.initials: R
authors.lastname: Skern
authors.forename: Petter
authors.initials: P
authors.lastname: Frost
authors.forename: Frank
authors.initials: F
authors.lastname: Nilsen
mesh_terms: D000818:Animals; D033342:Copepoda / Q000737:chemistry; D020869:Gene Expression Profiling / Q000379:methods*; D016133:Polymerase Chain Reaction / Q000379:methods*; D015203:Reproducibility of Results; D012107:Research Design; D048348:Reverse Transcription; D012680:Sensitivity and Specificity