Evidence map›Paper›PMID 41692788›Full record

ArticleScientific reports2026

Caveolin-1 modulates Notch transcriptional activity during in vitro respiratory multiciliated cell maturation.

Marcos Olivera-Gómez, Guadalupe Cumplido-Laso, Dixan Agustín Benitez, Juan Francisco Barrera-Lopez, Nuria Del Valle-Del Pino, Alba Díaz-Pizarro, Mónica Toledano-Donado, Mauro Catala-Montoro, Sonia María Mulero-Navarro, Ángel Carlos Roman and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

12 authors.

Marcos Olivera-GómezDepartamento de Bioquímica y Biología Molecular y Genética, Facultad de Ciencias, Universidad de Extremadura, Badajoz, 06071, Spain.
Guadalupe Cumplido-LasoDepartamento de Bioquímica y Biología Molecular y Genética, Facultad de Ciencias, Universidad de Extremadura, Badajoz, 06071, Spain.
Dixan Agustín BenitezDepartamento de Bioquímica y Biología Molecular y Genética, Facultad de Ciencias, Universidad de Extremadura, Badajoz, 06071, Spain.
Juan Francisco Barrera-LopezDepartamento de Bioquímica y Biología Molecular y Genética, Facultad de Ciencias, Universidad de Extremadura, Badajoz, 06071, Spain.
Nuria Del Valle-Del PinoDepartamento de Bioquímica y Biología Molecular y Genética, Facultad de Ciencias, Universidad de Extremadura, Badajoz, 06071, Spain.
Alba Díaz-PizarroDepartamento de Bioquímica y Biología Molecular y Genética, Facultad de Ciencias, Universidad de Extremadura, Badajoz, 06071, Spain.
Mónica Toledano-DonadoMechanoadaptation and Caveolae Biology lab, Novel mechanisms of atherosclerosis Program, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.
Mauro Catala-MontoroMechanoadaptation and Caveolae Biology lab, Novel mechanisms of atherosclerosis Program, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.
Sonia María Mulero-NavarroDepartamento de Bioquímica y Biología Molecular y Genética, Facultad de Ciencias, Universidad de Extremadura, Badajoz, 06071, Spain.
Ángel Carlos RomanDepartamento de Bioquímica y Biología Molecular y Genética, Facultad de Ciencias, Universidad de Extremadura, Badajoz, 06071, Spain.
Miguel Ángel Del PozoMechanoadaptation and Caveolae Biology lab, Novel mechanisms of atherosclerosis Program, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.
José María Carvajal-GonzalezDepartamento de Bioquímica y Biología Molecular y Genética, Facultad de Ciencias, Universidad de Extremadura, Badajoz, 06071, Spain. jmcarvaj@unex.es.

Funding

Consejeria de educacion, ciencia y formación profesional GR24138Consejeria de educacion, ciencia y formación profesional IB24150Fundación Obra Social La Caixa HR20-00075Ministerio de Ciencia, Innovación y Universidades PID2024-159320NB-I00Ministry of Economy, Spain PID2020-118658RB-I00Ministry of Economy, Spain TED2021-130560B-I00Spanish Ministry of Science and Innovation PDC2021-121572-I00
6 · The paper itself

Abstract

The airway epithelium, a sophisticated multicellular layer lining the respiratory tract, serves as our first line of defense against pathogens, allergens, and environmental pollutants. Recent studies have illuminated the intricate interplay between basal cell self-renewal, differentiation, and epithelial homeostasis following injury. Notably, expression of caveolin-1 (Cav-1) has been linked to specific cell types within the airway epithelium, primarily basal stem cells (BSCs) and multiciliated cells (MCCs). Despite its specific expression, the precise function of Cav-1 in BSC differentiation remains largely enigmatic. In this study, we investigate Cav-1's function within the airway epithelium in vitro, exploring the molecular mechanisms underlying BSC differentiation into MCCs and secretory cells (SCs). Our results reveal limited Cav-1 expression in mouse airway epithelial BSCs, with additional enrichment observed in MCCs. Notably, deficiency of Cav-1 accelerates MCC differentiation and maturation. Additionally, we found that Cav-1 downregulation dramatically affects Notch intracellular domain (NICD) transcriptional activity. That leads us to propose that Cav-1 participates indirectly in a transcriptional program orchestrated by NICD, thereby modulating both BSC differentiation and MCC maturation.

Indexed as

Caveolin 1Cell DifferentiationCiliaReceptors, NotchRespiratory MucosaTranscription, GeneticAnimalsCells, CulturedMiceSignal TransductionStem CellsCav1 protein, mouseCaveolin 1Receptors, NotchAirway epitheliumCaveolin-1Multiciliated cellsNotch signaling

Identifiers

PMID41692788
PMCPMC12996556

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.