Skip to main content

Introduction

qPCR gene expression quantification is highly dependant on the expression stability of the internal control or reference gene (RG). In order to achieve reliable results, it is highly recommended by the standard guidelines to aggregate multiple study specific reference genes. The common method here is to take the average of the reference genes in each smaple and use it as a new reference gene. This is where InterOpt can improve the quantification by providing optimal weights for weighted mean of the reference genes. It can be easily utilized in combination with usual ΔΔCT method.

InterOpt Visual Abstract

How can InterOpt Improve my qPCR experiment?​

There are two main scenarios which InterOpt can be utilized:

  1. You've done a qPCR experiment with 2 or more reference genes. Using InterOpt you can aggregate/combine them efficiently to achieve a more stable combined reference gene.
  2. You have a qPCR panel of genes (or reference genes) and want ot find the best weighted combination of genes to use as a reference gene.

Is InterOpt specific to genes and/or tissues?​

InterOpt can be utitlized for both non-coding and coding internal controls in solid tumors as well as liquid biopsies.

How to use it?​

InterOpt is available both as an online web application as well as an R package.