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.
Funder
National Institute of General Medical Sciences, National Institutes of Health
National Institute of Neurological Disorders and Stroke, grant/award number
NIH grant/award number
the National Science Foundation Graduate Research Fellowship
NCI through the Rogel Cancer Center support grant
Publisher
Cold Spring Harbor Laboratory
Cited by
18 articles.
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