Principles of mRNA control by human PUM proteins elucidated from multimodal experiments and integrative data analysis

MICHAEL B. WOLFE, TRISTA L. SCHAGAT, MICHELLE T. PAULSEN, BRIAN MAGNUSON, MATS LJUNGMAN, DAEYOON PARK, CHI ZHANG, ZACHARY T. CAMPBELL, AARON C. GOLDSTROHM, PETER L. FREDDOLINO

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

The human PUF-family proteins, PUM1 and PUM2, posttranscriptionally regulate gene expression by binding to a PUM recognition element (PRE) in the 3'-UTR of target mRNAs. Hundreds of PUM1/2 targets have been identified from changes in steady-state RNA levels; however, prior studies could not differentiate between the contributions of changes in transcription and RNA decay rates. We applied metabolic labeling to measure changes in RNA turnover in response to depletion of PUM1/2, showing that human PUM proteins regulate expression almost exclusively by changing RNA stability. We also applied an in vitro selection workflow to precisely identify the binding preferences of PUM1 and PUM2. By integrating our results with prior knowledge, we developed a "rulebook"of key contextual features that differentiate functional versus nonfunctional PREs, allowing us to train machine learning models that accurately predict the functional regulation of RNA targets by the human PUM proteins.

Original languageEnglish (US)
Pages (from-to)1680-1703
Number of pages24
JournalRNA
Volume26
Issue number11
DOIs
StatePublished - Nov 2020

Bibliographical note

Publisher Copyright:
© 2020 Wolfe et al.

Keywords

  • Machine learning
  • Pumilio
  • RNA decay

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