Evidence map›Paper›PMID 38005912›Full record

ReviewViruses2023

Phosphorylation of Human Polyomavirus Large and Small T Antigens: An Ignored Research Field.

Ugo Moens, Sara Passerini, Mar Falquet, Baldur Sveinbjørnsson, Valeria Pietropaolo

Open access · goldAbstract readReview
In one paragraph

Review in Viruses, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

5 authors at 2 institutions in 2 countries.

Ugo MoensDepartment of Medical Biology, Faculty of Health Sciences, University of Tromsø-The Arctic University of Norway, 9037 Tromsø, Norway.ORCID 0000-0002-1931-5462
Sara PasseriniDepartment of Public Health and Infectious Diseases, "Sapienza" University of Rome, 00185 Rome, Italy.ORCID 0000-0002-0678-5537
Mar FalquetDepartment of Medical Biology, Faculty of Health Sciences, University of Tromsø-The Arctic University of Norway, 9037 Tromsø, Norway.
Baldur SveinbjørnssonDepartment of Medical Biology, Faculty of Health Sciences, University of Tromsø-The Arctic University of Norway, 9037 Tromsø, Norway.ORCID 0000-0002-5499-9345
Valeria PietropaoloDepartment of Public Health and Infectious Diseases, "Sapienza" University of Rome, 00185 Rome, Italy.ORCID 0000-0001-5723-8886
UiT The Arctic University of Norway · NOSapienza University of Rome · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein phosphorylation and dephosphorylation are the most common post-translational modifications mediated by protein kinases and protein phosphatases, respectively. These reversible processes can modulate the function of the target protein, such as its activity, subcellular localization, stability, and interaction with other proteins. Phosphorylation of viral proteins plays an important role in the life cycle of a virus. In this review, we highlight biological implications of the phosphorylation of the monkey polyomavirus SV40 large T and small t antigens, summarize our current knowledge of the phosphorylation of these proteins of human polyomaviruses, and conclude with gaps in the knowledge and a proposal for future research directions.

Indexed as

PolyomavirusPolyomavirus InfectionsAntigens, Viral, TumorHumansPhosphorylationProtein KinasesAntigens, Viral, TumorProtein Kinaseshuman polyomaviruslarge T antigenMerkel cell polyomavirusprotein kinasesmall t antigenSV40

Identifiers

PMID38005912
PMCPMC10674619
OpenAlexW4388526379

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.