title: Characterization of in vitro transcription amplification linearity and variability in the low copy number regime using External RNA Control Consortium (ERCC) spike-ins.
abstract: Using spike-in controls designed to mimic mammalian mRNA species, we used the quantitative reverse transcription polymerase chain reaction (RT-qPCR) to assess the performance of in vitro transcription (IVT) amplification process of small samples. We focused especially on the confidence of the transcript level measurement, which is essential for differential gene expression analyses. IVT reproduced gene expression profiles down to approximately 100 absolute input copies. However, a RT-qPCR analysis of the antisense RNA showed a systematic bias against low copy number transcripts, regardless of sequence. Experiments also showed that noise increases with decreasing copy number. First-round IVT preserved the gene expression information within a sample down to the 100 copy level, regardless of total input sample amount. However, the amplification was nonlinear under low total RNA input/long IVT conditions. Variability of the amplification increased predictably with decreasing input copy number. For the small enrichments of interest in typical differential gene expression studies (e.g., twofold changes), the bias from IVT reactions is unlikely to affect the results. In limited cases, some transcript-specific differential gene expression values will need adjustment to reflect this bias. Proper experimental design with reasonable detection limits will yield differential gene expression capability even between low copy number transcripts.
authors.affiliation: Biochemical Science Division, National Institute of Standards and Technology, Gaithersburg, MD 20899, USA. Jason.kralj@nist.gov
authors.forename: Jason G
authors.initials: JG
authors.lastname: Kralj
authors.forename: Marc L
authors.initials: ML
authors.lastname: Salit
mesh_terms: D002623:Chemistry Techniques, Analytical; D017931:DNA Primers; D018628:Gene Dosage; D020869:Gene Expression Profiling; D005786:Gene Expression Regulation; D006801:Humans; D019169:Jurkat Cells; D021141:Nucleic Acid Amplification Techniques / Q000379:methods; D012313:RNA / Q000032:analysis*; D016372:RNA, Antisense / Q000378:metabolism; D012333:RNA, Messenger / Q000378:metabolism; D012044:Regression Analysis; D015203:Reproducibility of Results; D020133:Reverse Transcriptase Polymerase Chain Reaction / Q000379:methods; D014158:Transcription, Genetic
chemical_list: D017931:DNA Primers; D016372:RNA, Antisense; D012333:RNA, Messenger; D012313:RNA