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piRNA - Piwi-interacting RNAs02:57

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PIWI-interacting RNAs, or piRNAs, are the most abundant short non-coding RNAs. More than 20,000 genes have been found in humans that code for piRNAs while only 2000 genes have been found for miRNAs. piRNAs can act at the transcriptional and post-transcriptional levels and have a vital role in silencing transposable elements present in germ cells. They are also involved in epigenetic silencing and activation. Previously, they were thought to function only in germ cells but new evidence suggests...
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Protocol for assembling, prioritizing, and characterizing piRNA clusters using the piRNA Cluster Builder.

Franziska Ahrend1, Parthena Konstantinidou2, Zuzana Loubalova2

  • 1National Institutes of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA; Regensburg Center for Biochemistry (RCB), Laboratory for RNA Biology, University of Regensburg, Regensburg, Germany.

STAR Protocols
|April 12, 2025
PubMed
Summary
This summary is machine-generated.

This study presents a protocol for analyzing piRNA sequencing data to identify piRNA clusters, crucial for genome integrity and fertility. The method uses the piRNA Cluster Builder (PICB) tool for precise cluster assembly and prioritization.

Keywords:
BioinformaticsDevelopmental biologyEvolutionary biologyGenomics

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Area of Science:

  • Genomics
  • Molecular Biology
  • Epigenetics

Background:

  • PIWI-interacting RNAs (piRNAs) are vital for maintaining genome stability in germ cells, directly impacting reproductive health.
  • Dysregulation of piRNAs is linked to infertility and genomic instability.

Purpose of the Study:

  • To provide a detailed protocol for processing piRNA sequencing data.
  • To enable the identification and assembly of piRNA clusters using a novel computational tool.
  • To prepare piRNA clusters for subsequent functional and genomic analyses.

Main Methods:

  • The protocol involves processing raw piRNA sequencing reads.
  • Utilizes the R-based piRNA Cluster Builder (PICB) tool for assembling piRNA cluster regions.
  • Integrates both unique and multimapping piRNA reads in a stepwise manner.

Main Results:

  • The PICB tool allows for parameter optimization during cluster assembly.
  • The protocol generates normalized outputs for effective prioritization of identified piRNA clusters.
  • Successfully demonstrates a method for robust piRNA cluster identification.

Conclusions:

  • This protocol offers a standardized approach for analyzing piRNA sequencing data.
  • Facilitates the study of piRNA clusters and their role in genome integrity and fertility.
  • Provides a valuable resource for researchers investigating piRNA biology.