Chainy: an universal tool for standardized relative quantification in real-time PCR

Area of Science:

• Molecular Biology
• Bioinformatics
• Genomics

Background:

• Quantitative real-time PCR (qPCR) is a widely used technique for gene expression analysis.
• Accurate and reproducible qPCR data processing is crucial for reliable biological conclusions.
• Existing tools often lack comprehensive pipelines for systematic real-time PCR data analysis.

Purpose of the Study:

• To introduce Chainy, a novel cross-platform web tool for systematic real-time PCR data processing.
• To provide standardized criteria for calculating PCR efficiencies, evaluating reference gene suitability, and performing normalization.
• To enable robust group-wise relative quantification and statistical testing for applications like differential gene expression and ChIP-QPCR.

Main Methods:

• Chainy employs kinetic methods for calculating PCR efficiencies from raw data.
• The tool evaluates the suitability of multiple reference genes for normalization.
• It implements standardized normalization procedures and group-wise statistical testing for relative quantification.

Main Results:

• Chainy offers a systematic pipeline for comprehensive real-time PCR data analysis.
• The tool facilitates accurate calculation of efficiencies and reliable normalization using selected references.
• Demonstrated utility of Chainy for differential expression analysis and chromatin immunoprecipitation enrichment (ChIP-QPCR).

Conclusions:

• Chainy provides a user-friendly and systematic approach to real-time PCR data analysis.
• The tool enhances the accuracy and reproducibility of quantitative PCR experiments.
• Chainy is a valuable resource for researchers conducting gene expression and ChIP-QPCR studies.