Dataset Information

Mass spectrometry proteomics reveals proteins that function in mTOR regulated selective autophagy

ABSTRACT: We used proteomic profiling to identify proteins in the mTOR-autophagy axis. Mouse cell lines lacking individual autophagy genes (Atg5 or Ulk1/Ulk2) were treated with an mTOR inhibitor to induce autophagy and cultured in media with either glucose or galactose. Mass spectrometry proteome profiling revealed an elevation of both known autophagy proteins and candidates for new autophagy components.

INSTRUMENT(S): Orbitrap Fusion Lumos

ORGANISM(S): Mus Musculus (mouse)

SUBMITTER: Evgenia Shishkova

LAB HEAD: Joshua J Coon

PROVIDER: PXD014990 | Pride | 2020-01-23

REPOSITORIES: Pride

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Dataset's files

Source:

			Action	DRS
	20170126_ecf_autophagy_A1.raw	Raw
	20170126_ecf_autophagy_A10.raw	Raw
	20170126_ecf_autophagy_A2.raw	Raw
	20170126_ecf_autophagy_A3.raw	Raw
	20170126_ecf_autophagy_A4.raw	Raw

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Publications

Mass spectrometry proteomics reveals a function for mammalian CALCOCO1 in MTOR-regulated selective autophagy.

Stefely Jonathan A JA Zhang Yu Y Freiberger Elyse C EC Kwiecien Nicholas W NW Thomas Hala Elnakat HE Davis Alexander M AM Lowry Nathaniel D ND Vincent Catherine E CE Shishkova Evgenia E Clark Nicholas A NA Medvedovic Mario M Coon Joshua J JJ Pagliarini David J DJ Mercer Carol A CA

Autophagy 20200202 12

Macroautophagy/autophagy is suppressed by MTOR (mechanistic target of rapamycin kinase) and is an anticancer target under active investigation. Yet, MTOR-regulated autophagy remains incompletely mapped. We used proteomic profiling to identify proteins in the MTOR-autophagy axis. Wild-type (WT) mouse cell lines and cell lines lacking individual autophagy genes (<i>Atg5</i> or <i>Ulk1/Ulk2</i>) were treated with an MTOR inhibitor to induce autophagy and cultured in media with either glucose or gal ...[more]

PMID: 31971854

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Project description:DallePezze2016 - Activation of AMPK and mTOR by amino acids (Model 3) This model is as described in the Supplementary Software 3 of the reference publication: SBML model similar to Model S2, but including a more complex p70-S6K module. This model is described in the article: A systems study reveals concurrent activation of AMPK and mTOR by amino acids. Dalle Pezze P, Ruf S, Sonntag AG, Langelaar-Makkinje M, Hall P, Heberle AM, Razquin Navas P, van Eunen K, Tölle RC, Schwarz JJ, Wiese H, Warscheid B, Deitersen J, Stork B, Fäßler E, Schäuble S, Hahn U, Horvatovich P, Shanley DP, Thedieck K. Nat Commun 2016 Nov; 7: 13254 Abstract: Amino acids (aa) are not only building blocks for proteins, but also signalling molecules, with the mammalian target of rapamycin complex 1 (mTORC1) acting as a key mediator. However, little is known about whether aa, independently of mTORC1, activate other kinases of the mTOR signalling network. To delineate aa-stimulated mTOR network dynamics, we here combine a computational-experimental approach with text mining-enhanced quantitative proteomics. We report that AMP-activated protein kinase (AMPK), phosphatidylinositide 3-kinase (PI3K) and mTOR complex 2 (mTORC2) are acutely activated by aa-readdition in an mTORC1-independent manner. AMPK activation by aa is mediated by Ca2+/calmodulin-dependent protein kinase kinase ? (CaMKK?). In response, AMPK impinges on the autophagy regulators Unc-51-like kinase-1 (ULK1) and c-Jun. AMPK is widely recognized as an mTORC1 antagonist that is activated by starvation. We find that aa acutely activate AMPK concurrently with mTOR. We show that AMPK under aa sufficiency acts to sustain autophagy. This may be required to maintain protein homoeostasis and deliver metabolite intermediates for biosynthetic processes. This model is hosted on BioModels Database and identified by: BIOMD0000000640. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

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Project description:DallePezze2016 - Activation of AMPK and mTOR by amino acids (Model 1) This model is as described in Supplementary Software 2 of the reference publication: SBML model including only the canonical amino acid input on mTORC1. This model is described in the article: A systems study reveals concurrent activation of AMPK and mTOR by amino acids. Dalle Pezze P, Ruf S, Sonntag AG, Langelaar-Makkinje M, Hall P, Heberle AM, Razquin Navas P, van Eunen K, Tölle RC, Schwarz JJ, Wiese H, Warscheid B, Deitersen J, Stork B, Fäßler E, Schäuble S, Hahn U, Horvatovich P, Shanley DP, Thedieck K. Nat Commun 2016 Nov; 7: 13254 Abstract: Amino acids (aa) are not only building blocks for proteins, but also signalling molecules, with the mammalian target of rapamycin complex 1 (mTORC1) acting as a key mediator. However, little is known about whether aa, independently of mTORC1, activate other kinases of the mTOR signalling network. To delineate aa-stimulated mTOR network dynamics, we here combine a computational-experimental approach with text mining-enhanced quantitative proteomics. We report that AMP-activated protein kinase (AMPK), phosphatidylinositide 3-kinase (PI3K) and mTOR complex 2 (mTORC2) are acutely activated by aa-readdition in an mTORC1-independent manner. AMPK activation by aa is mediated by Ca2+/calmodulin-dependent protein kinase kinase ? (CaMKK?). In response, AMPK impinges on the autophagy regulators Unc-51-like kinase-1 (ULK1) and c-Jun. AMPK is widely recognized as an mTORC1 antagonist that is activated by starvation. We find that aa acutely activate AMPK concurrently with mTOR. We show that AMPK under aa sufficiency acts to sustain autophagy. This may be required to maintain protein homoeostasis and deliver metabolite intermediates for biosynthetic processes. This model is hosted on BioModels Database and identified by: MODEL1705030000. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.