Meta-analysis of senescent cell secretomes to identify common and specific features of the different senescent phenotypes: a tool for developing new senotherapeutics.

Oguma, Yo; Alessio, Nicola; Aprile, Domenico; Dezawa, Mari; Peluso, Gianfranco; Di Bernardo, Giovanni; Galderisi, Umberto

Oguma, Yo; Alessio, Nicola; Aprile, Domenico; Dezawa, Mari; Peluso, Gianfranco; Di Bernardo, Giovanni; Galderisi, Umberto.

Afiliação

Oguma Y; Department of Stem Cell Biology and Histology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Alessio N; Department of Experimental Medicine, Luigi Vanvitelli Campania University, Naples, Italy.
Aprile D; Department of Experimental Medicine, Luigi Vanvitelli Campania University, Naples, Italy.
Dezawa M; Department of Stem Cell Biology and Histology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Peluso G; International Medical University UNICAMILLUS, Rome, Italy.
Di Bernardo G; Department of Experimental Medicine, Luigi Vanvitelli Campania University, Naples, Italy.
Galderisi U; Department of Experimental Medicine, Luigi Vanvitelli Campania University, Naples, Italy. umberto.galderisi@unicampania.it.

Cell Commun Signal ; 21(1): 262, 2023 09 28.

Article em En | MEDLINE | ID: mdl-37770897

Assuntos

Neoplasias; Senoterapia; Humanos; Secretoma; Envelhecimento; Senescência Celular; Neoplasias/metabolismo; Fenótipo

Palavras-chave

Meta-analysis; SASP; Secretome; Senescence

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Senoterapia / Neoplasias Tipo de estudo: Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Revista: Cell Commun Signal Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Japão

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