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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.
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.
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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