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

Michael B Wolfe1, Trista L Schagat2, Michelle T Paulsen3

  • 1Department of Biological Chemistry and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, USA.

RNA (New York, N.Y.)
|August 6, 2020
PubMed

Insights

Human PUF proteins PUM1 and PUM2 primarily control gene expression by altering messenger RNA (mRNA) stability, not transcription. Researchers developed a predictive model for RNA target regulation by these proteins.

Area of Science:

  • Molecular Biology
  • Gene Regulation
  • RNA Biology

Background:

  • PUM1 and PUM2 are human PUF-family proteins that regulate gene expression posttranscriptionally.
  • They bind to PUM recognition elements (PREs) in the 3 -untranslated regions (UTRs) of target mRNAs.
  • Previous methods could not distinguish between transcriptional changes and RNA decay rates.

Purpose of the Study:

  • To determine whether human PUM proteins regulate gene expression by altering transcription or RNA stability.
  • To identify the precise binding preferences of PUM1 and PUM2.
  • To develop a predictive model for PUM protein-mediated RNA regulation.

Main Methods:

  • Metabolic labeling was used to measure changes in RNA turnover upon PUM1/2 depletion.
  • In vitro selection workflows were employed to identify PUM1 and PUM2 binding preferences.
  • Machine learning models were trained using a developed "rulebook" of functional PRE features.

Main Results:

  • Human PUM proteins regulate gene expression almost exclusively by modulating RNA stability.
  • The study precisely identified the binding preferences of PUM1 and PUM2.
  • A predictive model was developed that accurately identifies functional RNA targets of PUM proteins.

Conclusions:

  • PUM1 and PUM2 are key regulators of mRNA stability in humans.
  • Understanding PUM protein binding preferences allows for accurate prediction of their regulatory roles.
  • This work provides a framework for predicting functional RNA-protein interactions.

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