Evidence map›Paper›PMID 40200681›Full record

ReviewCell cycle (Georgetown, Tex.)

Leaving the mark: FMOs as an emerging class of cytokinetic regulators.

Léa Lacroix, Eugénie Goupil, Matthew J Smith, Jean-Claude Labbé

Abstract readReview
In one paragraph

Review in Cell cycle (Georgetown, Tex.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Léa LacroixInstitute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montréal, QC, Canada.ORCID 0009-0009-0998-9816
Eugénie GoupilInstitute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montréal, QC, Canada.ORCID 0000-0001-5554-8717
Matthew J SmithInstitute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montréal, QC, Canada.ORCID 0000-0003-2896-9350
Jean-Claude LabbéInstitute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montréal, QC, Canada.ORCID 0000-0003-0520-4566

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Posttranslational modification of proteins plays a fundamental role in cell biology. It provides cells a means to regulate the signaling, enzymatic or structural properties of proteins without continuous cycles of synthesis and degradation, offering multiple distinct functions to individual proteins in a rapid and reversible manner. Modifications can include phosphorylation, ubiquitination or methylation, which are widespread and simple to detect using current approaches. More challenging to identify, one modification of growing significance is the direct oxidation of cysteine and methionine side chains. Protein oxidation has long been known to occur spontaneously upon the accumulation of cellular reactive oxygen species (ROS), but new data are providing insight into the targeted oxidation of proteins by flavin-containing monooxygenases (FMOs). Here, we review how oxidation of cellular proteins can modulate their activity and consider potential roles for FMOs in the targeted modification of proteins shaping cell division, with a particular focus on two families of FMOs: MICAL and OSGIN.

Indexed as

Mixed Function OxygenasesProtein Processing, Post-TranslationalAnimalsCell DivisionHumansOxidation-ReductionReactive Oxygen SpeciesMixed Function OxygenasesReactive Oxygen SpeciesCysteine and methionine oxidationflavin-containing monooxygenases (FMOs, MICAL, OSGIN)RHOA GTPase and cytokinesis

Identifiers

PMID40200681
PMCPMC12296073

What OpenQuestion holds

Textmetadata
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.