The 3D Pattern of the Rainbow Trout (


Journal

International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791

Informations de publication

Date de publication:
02 Dec 2020
Historique:
received: 30 10 2020
revised: 27 11 2020
accepted: 30 11 2020
entrez: 5 12 2020
pubmed: 6 12 2020
medline: 10 3 2021
Statut: epublish

Résumé

We previously showed that, according to the frequency and distribution of specific cell types, the rainbow trout (RT) intestinal mucosa can be divided in two regions that form a complex nonlinear three-dimensional (3D) pattern and have a different renewal rate. This work had two aims. First, we investigated whether the unusual distribution of cell populations reflects a similar distribution of functional activities. To this end, we determined the protein expression pattern of three well-defined enterocytes functional markers: peptide transporter 1 (PepT1), sodium-glucose/galactose transporter 1 (SGLT-1), and fatty-acid-binding protein 2 (Fabp2). Second, we characterized the structure of RT intestinal stem-cell (ISC) niche and determined whether the different proliferative is accompanied by a different organization and/or extension of the stem-cell population. We studied the expression and localization of well-characterized mammal ISC markers: LGR5, HOPX, SOX9, NOTCH1, DLL1, and WNT3A. Our results indicate that morphological similarity is associated with similar function only between the first portion of the mid-intestine and the apical part of the complex folds in the second portion. Mammal ISC markers are all expressed in RT, but their localization is completely different, suggesting also substantial functional differences. Lastly, higher renewal rates are supported by a more abundant ISC population.

Identifiants

pubmed: 33276531
pii: ijms21239192
doi: 10.3390/ijms21239192
pmc: PMC7730110
pii:
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Horizon 2020 research and innovation programme
ID : 828835

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Auteurs

Nicole Verdile (N)

Department of Agricultural and Environmental Sciences, University of Milan, 20133 Milano, Italy.

Rolando Pasquariello (R)

Department of Agricultural and Environmental Sciences, University of Milan, 20133 Milano, Italy.

Tiziana A L Brevini (TAL)

Department of Health, Animal Science and Food Safety, University of Milan, 20133 Milano, Italy.

Fulvio Gandolfi (F)

Department of Agricultural and Environmental Sciences, University of Milan, 20133 Milano, Italy.

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Classifications MeSH