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Real Time RT-PCR

Real Time RT-PCR

Real-time reverse transcription-polymerase chain reaction, or Real-time RT-PCR, is an analytical tool used to determine the expression level of target genes. The method involves converting mRNA to complementary DNA with the help of an enzyme known as reverse transcriptase, followed by the PCR amplification of the cDNA. These two processes can be performed simultaneously in a single tube or separately as a two-step reaction.
The real-time quantification of the number of amplified products is...

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Targeted DNA Methylation Analysis by Next-generation Sequencing

Targeted DNA Methylation Analysis by Next-generation Sequencing

Published on: February 24, 2015

Algorithm Optimization in Methylation Detection with Multiple RT-qPCR.

Lele Song¹, Yuemin Li¹, Jia Jia¹

¹The Chinese PLA 309th hospital, Beijing, People's Republic of China.

|November 30, 2016

Summary

This summary is machine-generated.

Evaluating different algorithms for DNA methylation testing in cancer screening revealed that the FDA-approved Epi proColon assay (1/3 algorithm) offers high sensitivity but lower specificity. Algorithm choice is crucial for optimizing cancer detection performance.

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Methodology for Accurate Detection of Mitochondrial DNA Methylation

Methodology for Accurate Detection of Mitochondrial DNA Methylation

Published on: May 20, 2018

Area of Science:

Oncology
Molecular Diagnostics
Epigenetics

Background:

DNA methylation analysis is crucial for cancer screening and diagnostics.
Real-time quantitative polymerase chain reaction (RT-qPCR) enables high-throughput detection of abnormal methylation.
Algorithm selection for multi-replicate PCR assays impacts test outcome.

Purpose of the Study:

To compare the performance of different algorithms for the Epi proColon assay.
To evaluate the newly developed single-replicate SensiColon assay.
To determine the optimal algorithm for maximizing methylation detection in cancer screening.

Main Methods:

Opportunistic screening of 1133 patients.
Testing using the triplicate Epi proColon assay with various algorithms (1/3, 2/3, 1/1).
Comparison with the single-replicate SensiColon assay, both targeting the SEPT9 gene sequence.

Main Results:

The FDA-approved Epi proColon (1/3 algorithm) demonstrated the highest sensitivity (82.4%) but lower specificity (82.0%).
The Epi proColon 2.0 CE with 2/3 algorithm showed higher specificity (97.1%) but lower sensitivity (75.1%).
No significant performance difference was observed between Epi proColon 2.0 CE and SensiColon assays.

Conclusions:

Algorithm choice significantly impacts cancer screening test performance, balancing sensitivity and specificity.
The optimal algorithm depends on the specific application, such as screening versus early detection.
This study provides insights for optimizing methylation detection assays for cancer screening and early diagnosis.