Evidence map›Paper›PMID 32753408›Full record

ArticleRNA (New York, N.Y.)2020

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

Open access · bronzeAbstract read
In one paragraph

Article in RNA (New York, N.Y.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.1field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
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  9. Regulation of theRNA (New York, N.Y.) · 2024
    Article
  10. Article
  11. Regulatory features aid interpretation of 3'UTR variants.American journal of human genetics · 2024
    Article
  12. Article
  13. Article
  14. Inhibition of Nonsense-Mediated Decay Induces Nociceptive Sensitization through Activation of the Integrated Stress Response.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  15. Article
  16. Article
  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 1 country.

Michael B WolfeDepartment of Biological Chemistry and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, USA.ORCID 0000-0002-0276-0551
Trista L SchagatPromega Corporation, Fitchburg, Wisconsin 53711, USA.
Michelle T PaulsenDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan 48109, USA.
Brian MagnusonDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, Michigan 48109, USA.ORCID 0000-0002-5301-3302
Mats LjungmanDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan 48109, USA.ORCID 0000-0003-1553-6695
Daeyoon ParkDepartment of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, Minnesota 55455, USA.
Chi ZhangDepartment of Biological Sciences, University of Texas at Dallas, Richardson, Texas 75080, USA.
Zachary T CampbellDepartment of Biological Sciences, University of Texas at Dallas, Richardson, Texas 75080, USA.ORCID 0000-0002-3768-6996
Aaron C GoldstrohmDepartment of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, Minnesota 55455, USA.ORCID 0000-0002-1867-8763
Peter L FreddolinoDepartment of Biological Chemistry and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, USA.ORCID 0000-0002-5821-4226
University of Michigan · USThe University of Texas at Dallas · USUniversity of Minnesota · USPromega (United States) · US

Funding

XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Alexey I Nesvizhskii · 1988 to 2026
$178.2M
Building a unified framework for understanding bacterial gene regulation and chromosomal architectureR35GM128637 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Lydia Petra Freddolino · 2018 to 2026
$3.6M
Profiling Translation in Nociceptor PlasticityR01NS114018 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI Zachary Campbell · 2020 to 2026
$3.2M
Request to Transfer R01GM105707-03 Novel regulatory mechanisms of Drosophila Pumilio and NanosR01GM105707 · NIGMS · UNIVERSITY OF MINNESOTA · PI GOLDSTROHM, AARON CHARLES · 2013 to 2022
$2.7M
Targeting the RNA Exosome for Cancer TherapeuticsR01CA213214 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LJUNGMAN, MATS, NEAMATI, NOURI · 2019 to 2023
$2.4M
Mapping of Novel Candidate Functional Elements with Bru-Seq TechnologyUM1HG009382 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LJUNGMAN, MATS · 2017 to 2021
$2.3M
3’ End Regulation in Nociceptor PlasticityR01NS100788 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI CAMPBELL, ZACHARY · 2017 to 2021
$2.0M
hiPSC-based DRG Tissue Mimics on Multi-well Microelectrode Arrays as a Tissue Chip Model of Acute and Chronic NociceptionUG3TR003149 · NCATS · UNIVERSITY OF TEXAS DALLAS · PI BLACK, BRYAN JAMES · 2019 to 2020
$981k
NCATS NIH HHS UG3 TR003149NCI NIH HHS P30 CA046592NCI NIH HHS R01 CA213214NHGRI NIH HHS UM1 HG009382NIGMS NIH HHS R01 GM105707NIGMS NIH HHS R35 GM128637NINDS NIH HHS R01 NS100788NINDS NIH HHS R01 NS114018
6 · The paper itself

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.

Indexed as

3' Untranslated RegionsGene Expression RegulationHEK293 CellsHumansMachine LearningRNA-Binding ProteinsRNA, MessengerRNA Processing, Post-TranscriptionalRNA StabilityWhole Genome Sequencing3' Untranslated RegionsPUM1 protein, humanPUM2 protein, humanRNA-Binding ProteinsRNA, Messengermachine learningPumilioRNA decay

Identifiers

PMID32753408
PMCPMC7566576
OpenAlexW3047584855

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.