Functional Proteomics Identifies Acinus L as a Direct Insulin- and Amino Acid-Dependent Mammalian Target of Rapamycin

Jennifer Jasmin Schwarz1, Heike Wiese2, Regine Charlotte Tölle3

  • 1From the ‡Faculty of Biology, Institute of Biology III, University of Freiburg, 79104 Freiburg, Germany; §Faculty of Biology, Institute of Biology II, University of Freiburg, 79104 Freiburg, Germany; ¶Spemann Graduate School of Biology and Medicine (SGBM), University of Freiburg;

Insights

Researchers identified acinus L as a direct substrate of the mammalian target of rapamycin complex 1 (mTORC1) using a novel triple proteomics approach. This finding advances our understanding of mTORC1 signaling in growth and metabolism.

Area of Science:

  • Cellular Biology
  • Biochemistry
  • Proteomics

Background:

  • The mammalian target of rapamycin (mTOR) pathway is crucial for regulating cell growth, metabolism, and aging.
  • mTOR signaling is frequently dysregulated in metabolic disorders and cancer.
  • Despite extensive knowledge of mTOR's regulatory network, direct substrates remain largely uncharacterized.

Purpose of the Study:

  • To identify novel direct substrates of mTOR complex 1 (mTORC1).
  • To develop and apply a comprehensive proteomics strategy for discovering mTOR network components.

Main Methods:

  • Quantitative phosphoproteomics analysis of insulin- and amino acid-responsive phosphoproteome after raptor inhibition.
  • Interactomic analysis of endogenous mTOR.
  • Integration of phosphoproteomic and interactomic data.
  • Validation using co-immunoprecipitation and MS-enhanced kinase assays.

Main Results:

  • Identification of acinus L as a potential novel mTORC1 target through integrated phosphoproteomic and interactomic analyses.
  • Confirmation of acinus L as a direct substrate of mTORC1.
  • Demonstration of a triple proteomics strategy for novel mTOR target discovery.

Conclusions:

  • Acinus L is a newly identified direct substrate of mTORC1.
  • The developed triple proteomics strategy is effective for de novo identification of mTOR network components.
  • This study provides a valuable resource for future research into mTOR signaling and its targets.

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