Evidence map›Paper›PMID 34063504›Full record

ArticleInternational journal of molecular sciences2021

Protein Kinase C Activation Drives a Differentiation Program in an Oligodendroglial Precursor Model through the Modulation of Specific Biological Networks.

Marina Damato, Tristan Cardon, Maxence Wisztorski, Isabelle Fournier, Damiana Pieragostino, Ilaria Cicalini, Michel Salzet, Daniele Vergara, Michele Maffia

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Insulin Resistance and Inflammation.International journal of molecular sciences · 2026
    Review
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  6. Molecular regulation of PLCβ signaling.Methods in enzymology · 2023
    Review
  7. Article
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  10. 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

9 authors at 3 institutions in 2 countries.

Marina DamatoDepartment of Biological and Environmental Sciences and Technologies, University of Salento, 73100 Lecce, Italy.ORCID 0000-0003-0104-4323
Tristan CardonLaboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Université de Lille, INSERM, U1192, F-59000 Lille, France.ORCID 0000-0003-1751-0528
Maxence WisztorskiLaboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Université de Lille, INSERM, U1192, F-59000 Lille, France.ORCID 0000-0003-1320-075X
Isabelle FournierLaboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Université de Lille, INSERM, U1192, F-59000 Lille, France.ORCID 0000-0003-1096-5044
Damiana PieragostinoCenter for Advanced Studies and Technology (CAST), University "G. d'Annunzio" of Chieti-Pescara, 66100 Chieti, Italy.ORCID 0000-0003-1015-3484
Ilaria CicaliniCenter for Advanced Studies and Technology (CAST), University "G. d'Annunzio" of Chieti-Pescara, 66100 Chieti, Italy.ORCID 0000-0002-9792-2225
Michel SalzetLaboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Université de Lille, INSERM, U1192, F-59000 Lille, France.ORCID 0000-0003-4318-0817
Daniele VergaraDepartment of Biological and Environmental Sciences and Technologies, University of Salento, 73100 Lecce, Italy.ORCID 0000-0002-2396-7674
Michele MaffiaDepartment of Biological and Environmental Sciences and Technologies, University of Salento, 73100 Lecce, Italy.ORCID 0000-0003-0665-4534
Inserm · FRUniversity of Salento · ITUniversity of Chieti-Pescara · IT

Funding

Ministère de L'Education Nationale, de L'Enseignement Supérieur et de la Recherche, Inserm and Erasmus Mundus. Inserm and Erasmus MundusMinistero dell'Istruzione, dell'Università e della Ricerca PON FSE - FESR 2014-2020 (CCI 2014IT16M2OP005)-Axis I "Investments in Human Capital" Action I.1 - "Innovative PhDs with industrial characterization"-grant number DOT1712250 code 4Ministero dell'Istruzione, dell'Università e della Ricerca PRIN prot. 2017J92TM5
6 · The paper itself

Abstract

Protein kinase C (PKC) activation induces cellular reprogramming and differentiation in various cell models. Although many effectors of PKC physiological actions have been elucidated, the molecular mechanisms regulating oligodendrocyte differentiation after PKC activation are still unclear. Here, we applied a liquid chromatography-mass spectrometry (LC-MS/MS) approach to provide a comprehensive analysis of the proteome expression changes in the MO3.13 oligodendroglial cell line after PKC activation. Our findings suggest that multiple networks that communicate and coordinate with each other may finally determine the fate of MO3.13 cells, thus identifying a modular and functional biological structure. In this work, we provide a detailed description of these networks and their participating components and interactions. Such assembly allows perturbing each module, thus describing its physiological significance in the differentiation program. We applied this approach by targeting the Rho-associated protein kinase (ROCK) in PKC-activated cells. Overall, our findings provide a resource for elucidating the PKC-mediated network modules that contribute to a more robust knowledge of the molecular dynamics leading to this cell fate transition.

Indexed as

Cell DifferentiationCell LineCell ProliferationEnzyme ActivationHumansMass SpectrometryOligodendrogliaProtein Kinase Crho-Associated KinasesSignal TransductionTetradecanoylphorbol AcetateProtein Kinase Crho-Associated KinasesTetradecanoylphorbol Acetatecytoskeletondifferentiationmass spectrometryoligodendrocytesPKCROCKsignaling

Identifiers

PMID34063504
PMCPMC8156399
OpenAlexW3161363571

What Socratic 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 Socratic graph.