Development of Poly(A)-ClickSeq as a tool enabling simultaneous genome-wide poly(A)-site identification and...

Area of Science:

• Molecular Biology
• Genomics
• Bioinformatics

Background:

• RNA sequencing (RNA-seq) has largely replaced microarrays for gene expression analysis.
• RNA-seq library preparation is complex, often requiring specialized core facilities.
• Existing methods can be costly and time-consuming, limiting accessibility.

Purpose of the Study:

• To develop Poly(A)-ClickSeq (PAC-seq) for simultaneous gene expression measurement and poly(A) site mapping.
• To provide a detailed protocol and computational pipeline for PAC-seq.
• To demonstrate PAC-seq's utility with a proof-of-principle dataset.

Main Methods:

• Developed a click-chemistry based library preparation method (PAC-seq) targeting poly(A) tails of mRNA.
• Integrated computational pipelines for analyzing PAC-seq data.
• Utilized crude total cellular RNA, eliminating extra purification steps.

Main Results:

• PAC-seq accurately and sensitively quantifies transcripts for differential gene expression.
• PAC-seq effectively identifies alternative poly(A) sites.
• PAC-seq precisely determines poly(A) tail boundaries.

Conclusions:

• PAC-seq offers a cost-effective, streamlined alternative to conventional RNA-seq library preparation.
• PAC-seq enables simultaneous gene expression analysis and poly(A) site mapping directly from total RNA.
• This method enhances the accessibility of advanced RNA analysis techniques for research laboratories.