Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. The two most commonly used methods to analyze data from real-time, quantitative PCR experiments are absolute quantification and relative quantification. Absolute quantification determines the input copy number, usually by relating the PCR signal to a standard curve. Relative quantification relates the PCR signal of the target transcript… Continue reading
Category: pcr
Primer3–new capabilities and interfaces.
Normalization of real-time quantitative reverse transcription-PCR data: a model-based variance estimation approach to identify genes suited for normalization, applied to bladder and colon cancer data sets. Accurate normalization is an absolute prerequisite for correct measurement of gene expression. For quantitative real-time reverse transcription-PCR (RT-PCR), the most commonly used normalization strategy involves standardization to a single constitutively expressed… Continue reading
Human papillomavirus is a necessary cause of invasive cervical cancer worldwide.
Human papillomavirus is a necessary cause of invasive cervical cancer worldwide. A recent report that 93 per cent of invasive cervical cancers worldwide contain human papillomavirus (HPV) may be an underestimate, due to sample inadequacy or integration events affecting the HPV L1 gene, which is the target of the polymerase chain reaction (PCR)-based test which… Continue reading