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An automated feeding system for the African killifish reveals the impact of diet on lifespan and allows scalable assessment of associative learning.
McKay, Andrew; Costa, Emma K; Chen, Jingxun; Hu, Chi-Kuo; Chen, Xiaoshan; Bedbrook, Claire N; Khondker, Rishad C; Thielvoldt, Mike; Priya Singh, Param; Wyss-Coray, Tony; Brunet, Anne.
Afiliação
  • McKay A; Department of Genetics, Stanford University, Stanford, United States.
  • Costa EK; Biology Graduate Program, Stanford University, Stanford, United States.
  • Chen J; Department of Neurology and Neurological Sciences, Stanford University, Stanford, United States.
  • Hu CK; Neurosciences Interdepartmental Program, Stanford University School of Medicine, Stanford, United States.
  • Chen X; Department of Genetics, Stanford University, Stanford, United States.
  • Bedbrook CN; Department of Genetics, Stanford University, Stanford, United States.
  • Khondker RC; Department of Genetics, Stanford University, Stanford, United States.
  • Thielvoldt M; Department of Genetics, Stanford University, Stanford, United States.
  • Priya Singh P; Department of Bioengineering, Stanford University, Stanford, United States.
  • Wyss-Coray T; Department of Genetics, Stanford University, Stanford, United States.
  • Brunet A; Thielvoldt Engineering, Albany, United States.
Elife ; 112022 11 10.
Article em En | MEDLINE | ID: mdl-36354233

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fundulidae / Longevidade Tipo de estudo: Risk_factors_studies Limite: Animals / Female / Humans / Male Idioma: En Revista: Elife Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fundulidae / Longevidade Tipo de estudo: Risk_factors_studies Limite: Animals / Female / Humans / Male Idioma: En Revista: Elife Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos