Rapid construction of parallel analysis of RNA end (PARE) libraries for Illumina sequencing

Jixian Zhai1, Siwaret Arikit1, Stacey A Simon2

  • 1Department of Plant & Soil Sciences, University of Delaware, Newark, DE 19711, USA; Delaware Biotechnology Institute, University of Delaware, Newark, DE 19711, USA.

Insights

This study presents an improved protocol for validating microRNA (miRNA) targets in plants. The new method uses high-throughput sequencing for faster and more cost-effective identification of cleaved messenger RNAs (mRNAs).

Area of Science:

  • Plant molecular biology
  • RNA biology
  • Bioinformatics

Background:

  • MicroRNAs (miRNAs) are small RNA molecules crucial for gene regulation, particularly mRNA cleavage in plants.
  • Computational prediction of miRNA targets is prone to high false-positive rates, necessitating experimental validation.
  • Existing methods for validating miRNA target cleavage exist but can be time-consuming and costly.

Purpose of the Study:

  • To develop an updated, faster, and more cost-effective protocol for validating miRNA target cleavage.
  • To leverage advancements in high-throughput sequencing for improved miRNA target validation.
  • To provide a robust protocol for PARE (Parallel Analysis of cleaved RNA Ends) library construction.

Main Methods:

  • Development of a streamlined protocol for PARE library construction starting from total RNA.
  • Incorporation of indexed sample pooling for simultaneous sequencing of multiple samples.
  • Utilized high-throughput sequencing technology for high-volume data generation.

Main Results:

  • The updated protocol significantly reduces library preparation time compared to previous methods.
  • Cost reduction is achieved through efficient sample pooling and sequencing strategies.
  • The protocol has been successfully applied to validate miRNA targets across various plant species.

Conclusions:

  • The developed PARE library construction protocol offers a faster and more economical approach for miRNA target validation in plants.
  • This method addresses the critical need for reliable experimental validation of computationally predicted miRNA:mRNA interactions.
  • The protocol includes troubleshooting advice to ensure successful implementation in diverse research settings.

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