PXD010657 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Inverse data-driven modelling and multiomics analysis reveals PHGDH as a metabolic signature of M2 macrophages |
Description | Activation of immune cells is accompanied by a metabolic reconfiguration of their cellular energy metabolism including shifts in glycolysis and mitochondrial respiration that critically regulate functional effector responses. However, while current mass spectrometry strategies identify overall or flux-dependent metabolite profiles of cells or tissues, they fail to comprehensively identify the checkpoint nodes and enzymes that are responsible for different metabolic outputs. Here, we demonstrate that a data-driven inverse modelling approach from mass spectrometry metabolomics data can be used to identify a causal biochemical node that influence overall metabolic profiles and reactions. In our study we applied this strategy to TSC2/mTORC1-dependent macrophage polarization. Using multiomics metabolomics, proteomics and transcriptomics analysis as well as enzymatic activity measurements we demonstrate that TSC2, a negative regulator of mTORC1 signaling, critically influences the cellular metabolism of macrophages by regulating the enzyme phosphoglycerate dehydrogenase (PHGDH), a rate-limiting enzyme that diverts carbon from glycolysis for de novo serine/glycine biosynthesis. This is the first evidence that the metabolic kinase mTORC1 positively regulates PHGDH activity in macrophages. Importantly, PHGDH itself is a central regulator of macrophage polarization. Anti-inflammatory (M2) macrophages have high PHGDH activity that is required for the expression of typical anti-inflammatory molecules. Inhibition of PHGDH activity suppressed marker genes in IL-4 stimulated M2 macrophages. This identifies PHGDH as a metabolic signature of M2 macrophages. The presented concept of data-driven inverse modelling and multiomics analysis allows for the systematic integration of genome-scale metabolic reconstruction, prediction and analysis of causal biochemical regulation. |
HostingRepository | PRIDE |
AnnounceDate | 2020-05-26 |
AnnouncementXML | Submission_2020-05-26_11:59:23.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Wolfram Weckwerth |
SpeciesList | scientific name: Mus musculus (Mouse); NCBI TaxID: 10090; |
ModificationList | No PTMs are included in the dataset |
Instrument | LTQ Orbitrap |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2018-08-02 00:12:33 | ID requested | |
⏵ 1 | 2020-05-26 11:59:24 | announced | |
Publication List
Wilson JL, N, ä, gele T, Linke M, Demel F, Fritsch SD, Mayr HK, Cai Z, Katholnig K, Sun X, Fragner L, Miller A, Haschemi A, Popa A, Bergthaler A, Hengstschl, ä, ger M, Weichhart T, Weckwerth W, Inverse Data-Driven Modeling and Multiomics Analysis Reveals Phgdh as a Metabolic Checkpoint of Macrophage Polarization and Proliferation. Cell Rep, 30(5):1542-1552.e7(2020) [pubmed] |
Keyword List
curator keyword: Biological |
submitter keyword: TSC2, TOR, Serin pathway, Macrophages, metabolomics, metabolic modelling, biochemical Jacobian, |
Contact List
Wolfram Weckwerth |
contact affiliation | Department of Ecogenomics and Systems Biology, Division Molecular Systems Biology, University of Vienna, Austria |
contact email | wolfram.weckwerth@univie.ac.at |
lab head | |
Wolfram Weckwerth |
contact affiliation | University of Vienna |
contact email | wolfram.weckwerth@univie.ac.at |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD010657
- Label: PRIDE project
- Name: Inverse data-driven modelling and multiomics analysis reveals PHGDH as a metabolic signature of M2 macrophages