|
Activity Number:
|
139
|
|
Type:
|
Topic Contributed
|
|
Date/Time:
|
Monday, August 7, 2006 : 10:30 AM to 12:20 PM
|
|
Sponsor:
|
Biometrics Section
|
| Abstract - #306942 |
|
Title:
|
Estimation of RT-PCR Amplification Efficiency with Application to Relative Quantification
|
|
Author(s):
|
Inna Chervoneva*+ and Yanyan Li and Terry Hyslop and Boris Iglewicz
|
|
Companies:
|
Thomas Jefferson University and Thomas Jefferson University and Thomas Jefferson University and Temple University
|
|
Address:
|
211 S. 9th Street, Suite 602, Philadelphia, OR, 19107,
|
|
Keywords:
|
RT-PCT efficiency ; amplification rate ; RT-PCR kinetic ; relative quantification ; amplification efficiency ; branching process
|
|
Abstract:
|
Amplification efficiency is the key issue in real time (RT-PCR) quantification because many PCRs do not have ideal amplification efficiency and quantification should be adjusted for the actually achieved efficiency. Efficiency of a single reaction may be estimated by considering kinetic data from this reaction. Most proposed methods for estimating amplification efficiency fit an exponential growth curve to the limited subset of kinetic data in early exponential and loglinear phases. In this work, we use a four-parameter logistic model for all kinetic RT-PCR data. We show that both exponential and logistic models for RT-PCR kinetic data may be obtained as approximations of generalized theoretical model for PCR kinetics of Schnell and Mendoza (1997) and that amplification efficiency estimates from logistic models are more precise than those from the exponential models.
|
