QPAT-seq, a rapid and deduplicatable method for quantification of poly(A) site usages

Area of Science:

• Molecular Biology
• Genomics
• Gene Expression Regulation

Background:

• Alternative polyadenylation (APA) is a key regulatory mechanism controlling gene expression.
• Next-generation sequencing enables genome-wide profiling of APA sites, revealing that over 50% of eukaryotic genes undergo APA.
• Existing methods face challenges in accurate poly(A) site quantification due to PCR bias during library preparation.

Purpose of the Study:

• To develop an improved method for accurate quantification of poly(A) site usage.
• To address the limitations of existing poly(A) site profiling techniques, specifically PCR-induced biases.
• To introduce a cost-effective and rapid protocol for large-scale APA analysis.

Main Methods:

• An updated poly(A) tag sequencing method was developed, incorporating unique molecular identifiers (UMIs) into adaptors.
• UMIs are used to identify and remove PCR duplicates, enabling accurate quantification.
• The protocol, termed quantifying poly(A) tag sequencing (QPAT-seq), was optimized for efficiency and cost.

Main Results:

• QPAT-seq effectively removes quantification bias caused by PCR duplicates by counting UMIs.
• Accurate quantification of poly(A) site usage is achieved through UMI counting.
• The QPAT-seq protocol can be completed within one day at a reduced cost.

Conclusions:

• QPAT-seq provides a robust and accurate method for quantifying alternative polyadenylation site usage.
• The protocol's efficiency and cost-effectiveness make it suitable for high-throughput studies involving numerous samples.
• This method enhances the ability to study gene expression regulation through alternative polyadenylation.