Evidence map›Paper›PMID 34069055›Full record

ArticleCells2021

Regulation of the Phosphoinositide Code by Phosphorylation of Membrane Readers.

Troy A Kervin, Michael Overduin

Abstract read
In one paragraph

Article in Cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Deciphering the language of mingling lipids and proteins.Current opinion in structural biology · 2025
    Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Multifaceted membrane binding head of the SARS-CoV-2 spike protein.Current research in structural biology · 2022
    Article
  7. Phosphoinositide Recognition Sites Are Blocked by Metabolite Attachment.Frontiers in cell and developmental biology · 2021
    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

2 authors.

Troy A KervinDepartment of Biochemistry, University of Alberta, Edmonton, AB T6G 2H7, Canada.ORCID 0000-0002-7681-6861
Michael OverduinDepartment of Biochemistry, University of Alberta, Edmonton, AB T6G 2H7, Canada.ORCID 0000-0002-3114-6585

Funding

Campus Alberta Innovates Program RCP-12-002CNatural Sciences and Engineering Research Council of Canada RGPIN-2018-04994
6 · The paper itself

Abstract

The genetic code that dictates how nucleic acids are translated into proteins is well known, however, the code through which proteins recognize membranes remains mysterious. In eukaryotes, this code is mediated by hundreds of membrane readers that recognize unique phosphatidylinositol phosphates (PIPs), which demark organelles to initiate localized trafficking and signaling events. The only superfamily which specifically detects all seven PIPs are the Phox homology (PX) domains. Here, we reveal that throughout evolution, these readers are universally regulated by the phosphorylation of their PIP binding surfaces based on our analysis of existing and modelled protein structures and phosphoproteomic databases. These PIP-stops control the selective targeting of proteins to organelles and are shown to be key determinants of high-fidelity PIP recognition. The protein kinases responsible include prominent cancer targets, underscoring the critical role of regulated membrane readership.

Indexed as

Evolution, MolecularHumansModels, MolecularPhosphatidylinositol PhosphatesPhosphorylationProtein BindingSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsPhosphatidylinositol PhosphatesSaccharomyces cerevisiae Proteinslipid specificitymembrane recognitionphosphoinositide bindingpost-translational modificationprotein phosphorylationPX domainregulation

Identifiers

PMID34069055
PMCPMC8156045

What OpenQuestion holds

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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.