Proceedings of the National Academy of SciencesBiochemistryPeer-reviewed journal article
Parallel phosphoproteomics and metabolomics map the global metabolic tyrosine phosphoproteome
Alissandra L. HillisiD, Tigist Y. TamiriD, Grace E. PerryiD, John M. AsaraiD, Jared Lee JohnsoniD, Tomer M. YaroniD, Lewis C. CantleyiD, Forest M. WhiteiD, Alex TokeriD
Abstract
Tyrosine phosphorylation of metabolic enzymes is an evolutionarily conserved post-translational modification that facilitates rapid and reversible modulation of enzyme activity, localization or function. Despite the high abundance of tyrosine phosphorylation events detected on metabolic enzymes in high-throughput mass spectrometry-based studies, functional characterization of tyrosine phosphorylation sites has been limited to a subset of enzymes. Since tyrosine phosphorylation is dysregulated across human diseases, including cancer, understanding the consequences of metabolic enzyme tyrosine phosphorylation events is critical for informing disease biology and therapeutic interventions. To globally identify metabolic enzyme tyrosine phosphorylation events and simultaneously assign functional significance to these sites, we performed parallel phosphoproteomics and polar metabolomics in non-tumorigenic mammary epithelial cells (MCF10A) stimulated with epidermal growth factor (EGF) in the absence or presence of the epidermal growth factor receptor (EGFR) inhibitor erlotinib. We performed an integrated analysis of the phosphoproteomic and metabolomic datasets to identify tyrosine phosphorylation sites on metabolic enzymes with functional consequences. We identified two previously characterized (PKM, PGAM1) and two novel (GSTP1, GLUD1) tyrosine phosphorylation sites on metabolic enzymes with purported functions based on metabolomic analyses. We validated these hits using a doxycycline-inducible CRISPR interference (CRISPRi) system in MCF10A cells, in which target metabolic enzymes were depleted with simultaneous re-expression of wild-type, phosphomutant or phosphomimetic isoforms. Together, these data provide a framework for identification, prioritization and characterization of tyrosine phosphorylation sites on metabolic enzymes with functional significance.
- organism: human
- assay: proteomics
- assay: metabolomics
- research focus: cell signaling & trafficking
- approach: deep learning
- approach: statistical model
- Citations
- 8
- FWCI
- 0.98
- Field percentile
- top 30%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- AlphaFold 3-enabled in silico exploration of PGAM1 interactions in cancer
Jemma J. Clarke, James L. Colcombe, Daniel John Rigden·bioRxiv·Jun 23, 2025
- Metabolic signatures of regulation by phosphorylation and acetylation
Kirk Smith, Fangzhou Shen, … Sriram Chandrasekaran·iSciencePeer-reviewed·Jan 1, 2022
- Multiple layers of phospho-regulation coordinate metabolism and the cell cycle in budding yeast
L. Zhang, S. Winkler, … J. C. Ewald·bioRxiv·Oct 22, 2019
- Post-translational regulation of metabolism in fumarate hydratase deficient cancer cells
Emanuel Gonçalves, Marco Sciacovelli, … Julio Sáez-Rodríguez·Metabolic EngineeringPeer-reviewed·Nov 27, 2017
- Pyrophosphoproteomics: extensive protein pyrophosphorylation revealed in human cell lines
J. A. M. Morgan, A. Singh, … D. Fiedler·bioRxiv·Nov 11, 2022
- Systematic analysis of transcriptional and post-transcriptional regulation of metabolism in yeast
Emanuel Gonçalves, Zrinka Raguz, … Julio Saez-Rodriguez·PLOS Computational BiologyPeer-reviewed·Jan 10, 2017