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Matching Dietary Amino Acid Balance to the In Silico-Translated Exome Optimizes Growth and Reproduction without Cost to Lifespan

Crossref DOI link: https://doi.org/10.1016/j.cmet.2017.02.005

Published Print: 2017-03

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Piper, Matthew D.W.

Soultoukis, George A.

Blanc, Eric

Mesaros, Andrea

Herbert, Samantha L.

Juricic, Paula

He, Xiaoli

Atanassov, Ilian

Salmonowicz, Hanna

Yang, Mingyao

Simpson, Stephen J.

Ribeiro, Carlos

Partridge, Linda
Funding

Funding for this research was provided by:

Human Frontier Science Program (RGP0022/2012)

Australian Research Council (FT150100237)

National Health and Medical Research Council (1084267)

National Natural Science Foundation of China (31471998)

Fundação Champalimaud

European Research Council

Seventh Framework Programme (268739)

Seventh Framework Programme (FP7/2007-2013)

Wellcome Trust (098565/Z/12/Z)

Fundação Bial (283/14)

Biotechnology and Biological Sciences Research Council (BB/I011544/1)

Université de Lausanne

Royal Society (RG110303)

Royal Society (UF100158)

Fundação para a Ciência e a Tecnologia (SRFH/BD/76066/2011)

Max-Planck-Gesellschaft
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Text and Data Mining valid from 2017-03-01

Text and Data Mining valid from 2017-03-01

Version of Record valid from 2017-02-10
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This article is maintained by: Elsevier

Article Title: Matching Dietary Amino Acid Balance to the In Silico-Translated Exome Optimizes Growth and Reproduction without Cost to Lifespan

Journal Title: Cell Metabolism

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.cmet.2017.02.005

Content Type: article

Copyright: © 2017 The Author(s). Published by Elsevier Inc.