Massively Parallel Analysis of Regulatory RNA Sequences

Michal Rabani*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Scopus citations

Abstract

The stability of RNA transcripts is regulated by signals within their sequences, but the identity of those signals still remain elusive in many biological systems. Recently introduced massively parallel tools for the analysis of regulatory RNA sequences provide the ability to detect functional cis-regulatory sequences of post-transcriptional RNA regulation at a much larger scale and resolution than before. Their application formulates the underlying sequence-based rules and predicts the impact of genetic variations. Here, we describe the application of UTR-Seq, as a strategy to uncover cis-regulatory signals of RNA stability during early zebrafish embryogenesis. The method combines massively parallel reporter assays (MPRA) with computational regression models. It surveys the effect of tens of thousands of regulatory sequences on RNA stability and analyzes the results via regression models to identify sequence signals that impact RNA stability and to predict the in vivo effect of sequence variations.

Original languageAmerican English
Title of host publicationMethods in Molecular Biology
PublisherHumana Press Inc.
Pages355-365
Number of pages11
DOIs
StatePublished - 2021

Publication series

NameMethods in Molecular Biology
Volume2218
ISSN (Print)1064-3745
ISSN (Electronic)1940-6029

Bibliographical note

Publisher Copyright:
© Springer Science+Business Media, LLC, part of Springer Nature 2021.

Keywords

  • Cis-regulation
  • Massively parallel reporter assays
  • Post-transcriptional regulation
  • RNA stability
  • UTR-Seq
  • Zebrafish embryogenesis

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