Different responses of PC12 cells to different pro-nerve growth factor protein variants.


Journal

Neurochemistry international
ISSN: 1872-9754
Titre abrégé: Neurochem Int
Pays: England
ID NLM: 8006959

Informations de publication

Date de publication:
10 2019
Historique:
received: 13 03 2019
revised: 24 05 2019
accepted: 01 07 2019
pubmed: 7 7 2019
medline: 12 5 2020
entrez: 7 7 2019
Statut: ppublish

Résumé

The present work aimed to explore the innovative hypothesis that different transcript/protein variants of a pro-neurotrophin may generate different biological outcomes in a cellular system. Nerve growth factor (NGF) is important in the development and progression of neurodegenerative and cancer conditions. Mature NGF (mNGF) originates from a precursor, proNGF, produced in mouse in two major variants, proNGF-A and proNGF-B. Different receptors bind mNGF and proNGF, generating neurotrophic or neurotoxic outcomes. It is known that dysregulation in the proNGF/mNGF ratio and in NGF-receptors expression affects brain homeostasis. To date, however, the specific roles of the two major proNGF variants remain unexplored. Here we attempted a first characterization of the possible differential effects of proNGF-A and proNGF-B on viability, differentiation and endogenous ngf gene expression in the PC12 cell line. We also investigated the differential involvement of NGF receptors in the actions of proNGF. We found that native mouse mNGF, proNGF-A and proNGF-B elicited different effects on PC12 cell survival and differentiation. Only mNGF and proNGF-A promoted neurotrophic responses when all NGF receptors are exposed at the cell surface. Tropomyosine receptor kinase A (TrkA) blockade inhibited cell differentiation, regardless of which NGF was added to culture media. Only proNGF-A exerted a pro-survival effect when TrkA was inhibited. Conversely, proNGF-B exerted differentiative effects when the p75 neurotrophin receptor (p75

Identifiants

pubmed: 31278975
pii: S0197-0186(19)30150-0
doi: 10.1016/j.neuint.2019.104498
pii:
doi:

Substances chimiques

Nerve Growth Factors 0
Nerve Tissue Proteins 0
Protein Isoforms 0
Protein Precursors 0
Proteome 0
RNA, Messenger 0
Receptors, Growth Factor 0
Receptors, Nerve Growth Factor 0
pro-nerve growth factor, mouse 0
pro-nerve growth factor, rat 0
Ngfr protein, rat 136958-07-1
Nerve Growth Factor 9061-61-4
Receptor, trkA EC 2.7.10.1

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

104498

Informations de copyright

Copyright © 2019. Published by Elsevier Ltd.

Auteurs

Marzia Soligo (M)

Institute of Translational Pharmacology, Consiglio Nazionale Delle Ricerche (CNR), Rome, Italy.

Martina Albini (M)

Institute of Translational Pharmacology, Consiglio Nazionale Delle Ricerche (CNR), Rome, Italy.

Federico Lorenzo Bertoli (FL)

Institute of Translational Pharmacology, Consiglio Nazionale Delle Ricerche (CNR), Rome, Italy.

Valeria Marzano (V)

Human Microbiome Unit, Genetic and Rare Diseases Area, Bambino Gesù Children's Hospital IRCCS, Rome, Italy.

Virginia Protto (V)

Institute of Translational Pharmacology, Consiglio Nazionale Delle Ricerche (CNR), Rome, Italy.

Luisa Bracci-Laudiero (L)

Institute of Translational Pharmacology, Consiglio Nazionale Delle Ricerche (CNR), Rome, Italy; Division of Rheumatology and Immuno-Rheumatology Research Laboratories, Bambino Gesù Children's Hospital, Rome, Italy.

Gaetana Minnone (G)

Division of Rheumatology and Immuno-Rheumatology Research Laboratories, Bambino Gesù Children's Hospital, Rome, Italy.

Fabrizio De Benedetti (F)

Division of Rheumatology and Immuno-Rheumatology Research Laboratories, Bambino Gesù Children's Hospital, Rome, Italy.

Antonio Chiaretti (A)

Institute of Pediatrics, Università Cattolica del Sacro Cuore, Rome, Italy.

Elide Mantuano (E)

Institute of Translational Pharmacology, Consiglio Nazionale Delle Ricerche (CNR), Rome, Italy.

Luigi Manni (L)

Institute of Translational Pharmacology, Consiglio Nazionale Delle Ricerche (CNR), Rome, Italy. Electronic address: luigi.manni@ift.cnt.it.

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Classifications MeSH