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Proximity extracellular protein-protein interaction analysis of EGFR using AirID-conjugated fragment of antigen binding
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Abstract
Receptor proteins, such as epidermal growth factor receptor (EGFR), interact with other proteins in the extracellular region of the cell membrane to drive intracellular signalling. Therefore, analysis of extracellular protein-protein interactions (exPPIs) is important for understanding the biological function of receptor proteins. Here, we present an approach using a proximity biotinylation enzyme (AirID) fusion fragment of antigen binding (FabID) to analyse the proximity exPPIs of EGFR. AirID was C-terminally fused to the Fab fragment against EGFR (EGFR-FabID), which could then biotinylate the extracellular region of EGFR in several cell lines. Liquid Chromatography-Mass Spectrometry (LC-MS/MS) analysis indicated that many known EGFR interactors were identified as proximity exPPIs, along with many unknown candidate interactors, using EGFR-FabID. Interestingly, these proximity exPPIs were influenced by treatment with EGF ligand and its specific kinase inhibitor, gefitinib. These results indicate that FabID provides accurate proximity exPPI analysis of target receptor proteins on cell membranes with ligand and drug responses.
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Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
Yun, C.-H., Boggon, T. J., Li, Y., Woo, M. S., Greulich, H., Meyerson, M., & Eck, M. J. (2007) · Cancer Cell · doi:10.1016/j.ccr.2006.12.017 · Cited by 1,192 · cited 1×
“Ge fi ti-nib binds to the ATP binding site of EGFR and suppresses its phos-phorylations in the presence of EGF 45,46 .”
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Research works printed but not linked: 57
- Bechtel, T. J. et al. Strategies for monitoring cell–cell interactions. Nat. Chem. Biol. 17, 641–652 (2021). · DOI
- Bausch-Fluck, D. et al. The in silico human surfaceome. Proc. Natl. Acad. Sci. USA 115, E10988–E10997 (2018). · DOI
- Yin, H. & Flynn, A. D. Drugging membrane protein interactions. Annu Rev. Biomed. Eng. 18, 51–76 (2016). · DOI
- Zhao, S. et al. Screening and identification of host proteins interacting with Theileria annulata cysteine proteinase (TaCP) by yeast-two-hybrid system. Parasite Vectors 10, 536 (2017). · DOI
- Li, J. et al. Development of a membrane-anchored ligand and receptor yeast two-hybrid system for ligand-receptor interaction identification. Sci. Rep. 6, 35631 (2016). · DOI
- Ohshiro, K. et al. Identification of a novel estrogen receptor-alpha variant and its upstream splicing regulator. Mol. Endocrinol. 24, 914–922 (2010). · DOI
- Han, J. et al. The identification of novel protein-protein interactions in liver that affect glucagon receptor activity. PLoS One. 10, e0129226 (2015). · DOI
- Nemoto, K. et al. Tyrosine phosphorylation of the GARU E3 ubiquitin ligase promotes gibberellin signalling by preventing GID1 degradation. Nat. Commun. 8, 1004 (2017). · DOI
- Takahashi, H. et al. Establishment of a wheat cell-free synthesized protein array containing 250 human and mouse e3 ubiquitin ligases to identify novel interaction between e3 ligases and substrate proteins. PLoS One. 11, e0156718 (2016). · DOI
- Geri, J. B. et al. Microenvironment mapping via Dexter energy transfer on immune cells. Science 367, 1091–1097 (2020). · DOI · Paper page
- Oakley, J. V. et al. Radius measurement via super-resolution microscopy enables the development of a variable radii proximity labeling platform. Proc. Natl. Acad. Sci. USA 119, e2203027119 (2022). · DOI
- Bosch, J. A., Chen, C. L. & Perrimon, N. Proximity-dependent labeling methods for proteomic profiling in living cells: an update. Wiley interdiscip. Rev. Dev. Biol. 10, e392 (2020). · DOI
- Kim, D. I. et al. Probing nuclear pore complex architecture with proximity-dependent biotinylation. Proc. Natl. Acad. Sci. USA 111, 2453–2461 (2014). · DOI · Paper page
- Go, C. D. et al. A proximity-dependent biotinylation map of a human cell. Nature 595, 120–124 (2021). · DOI
- Varnaitė, R. & MacNeill, S. A. Meet the neighbors: mapping local protein interactomes by proximity-dependent labeling with BioID. Proteomics 16, 2503–2518 (2016). · DOI · Paper page
- Samavarchi-Tehrani, P., Samson, R. & Gingras, A. C. Proximity dependent biotinylation: key enzymes and adaptation to proteomics approaches. Mol. Cell. Proteom. 19, 757–773 (2020). · DOI
- Ge, Y. et al. Enzyme-mediated intercellular proximity labeling for detecting cell-cell interactions. J. Am. Chem. Soc. 141, 1833–1837 (2019). · DOI
- Liu, Q. et al. A proximity-tagging system to identify membrane protein-protein interactions. Nat. Methods 15, 715–722 (2018). · DOI
- Martell, J. D. et al. Engineered ascorbate peroxidase as a genetically encoded reporter for electron microscopy. Nat. Biotechnol. 30, 1143–1148 (2012). · DOI · Paper page
- James, C. et al. Proteomic mapping by rapamycin-dependent targeting of APEX2 identifies binding partners of VAPB at the inner nuclear membrane. J. Biol. Chem. 294, 16241–16254 (2019). · DOI
- Choi-Rhee, E., Schulman, H. & Cronan, J. E. Promiscuous protein biotinylation by Escherichia coli biotin protein ligase. Protein Sci. 13, 3043–3050 (2004). · DOI
- Branon, T. C. et al. Efficient proximity labeling in living cells and organisms with TurboID. Nat. Biotechnol. 36, 880–887 (2018). · DOI · Paper page
- Roux, K. J. et al. A promiscuous biotin ligase fusion protein identifies proximal and interacting proteins in mammalian cells. J. Cell Biol. 196, 801–810 (2012). · DOI · Paper page
- Kido, K. et al. AirID, a novel proximity biotinylation enzyme, for analysis of protein–protein interactions. eLife 9, e54983 (2020). · DOI
- Yamanaka, S. et al. A proximity biotinylation-based approach to identify protein-E3 ligase interactions induced by PROTACs and molecular glues. Nat. Commun. 13, 183 (2022). · DOI
- Shafraz, O. et al. Mapping transmembrane binding partners for E-cadherin ectodomains. Proc. Natl. Acad. Sci. Usa. 117, 31157–31165 (2020). · DOI
- Dhillon, S. Gefitinib: a review of its use in adults with advanced non-small cell lung cancer. Target. Oncol. 10, 153–170 (2015). · DOI
- Yano, T. et al. AGIA tag system based on a high affinity rabbit monoclonal antibody against human dopamine receptor D1 for protein analysis. PLoS One. 11, e0156716 (2016). · DOI
- Gerweck, L. E. & Seetharaman, K. Cellular pH gradient in tumor versus normal tissue: potential exploitation for the treatment of cancer. Cancer Res. 56, 1194–1198 (1996).
- Talukdar, S. et al. EGFR: an essential receptor tyrosine kinase-regulator of cancer stem cells. Adv. Cancer Res. 147, 161–188 (2020). · DOI
- Freed, D. M. et al. EGFR ligands differentially stabilize receptor dimers to specify signaling kinetics. Cell 171, 683–695.e18 (2017). · DOI
- Foerster, S. et al. Characterization of the EGFR interactome reveals associated protein complex networks and intracellular receptor dynamics. Proteomics 13, 3131–3144 (2013). · DOI
- Thelemann, A. et al. Phosphotyrosine signaling networks in epidermal growth factor receptor overexpressing squamous carcinoma cells. Mol. Cell. Proteom. 4, 356–376 (2005). · DOI
- Kaneko, M. K. et al. Elucidation of the critical epitope of an anti-EGFR monoclonal antibody EMab-134. Biochem. Biophys. Rep. 14, 54–57 (2018).
- Itai, S. et al. Establishment of EMab-134, a sensitive and specific anti-epidermal growth factor receptor monoclonal antibody for detecting squamous cell carcinoma cells of the oral cavity. Monoclon. Antib. Immunodiagn. Immunother. 36, 272–281 (2017). · DOI
- Ogiso, H. et al. Crystal structure of the complex of human epidermal growth factor and receptor extracellular domains. Cell 110, 775–787 (2002). · DOI
- Garrett, T. P. J. et al. Crystal structure of a truncated epidermal growth factor receptor extracellular domain bound to transforming growth factor α. Cell 110, 763–773 (2002). · DOI
- Motani, K. & Kosako, H. Activation of stimulator of interferon genes (STING) induces ADAM17-mediated shedding of the immune semaphorin SEMA4D. J. Biol. Chem. 293, 7717–7726 (2018). · DOI
- Nishino, K. et al. Optimized workflow for enrichment and identification of biotinylated peptides using tamavidin 2-REV for BioID and cell surface proteomics. J. Proteome Res. 21, 2094–2103 (2022). · DOI
- Krogh, A. et al. Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes. J. Mol. Biol. 305, 567–580 (2001). · DOI · Paper page
- Hermjakob, H. et al. IntAct: an open source molecular interaction database. Nucleic Acids Res. 32, D452–D455 (2004). · DOI
- Carpenter, G., King, L. & Cohen, S. Epidermal growth factor stimulates phosphorylation in membrane preparations in vitro. Nature 276, 409–410 (1978). · DOI
- Hua, Q. et al. AL355338 acts as an oncogenic lncRNA by interacting with protein ENO1 to regulate EGFR/AKT pathway in NSCLC. Cancer Cell Int. 21, 525 (2021). · DOI
- Itagaki, K. et al. Eukaryotic translation elongation factor 1A induces anoikis by triggering cell detachment. J. Biol. Chem. 287, 16037–16046 (2012). · DOI
- Kobayashi, S. et al. EGFR mutation and resistance of non–small-cell lung cancer to Gefitinib. N. Engl. J. Med. 352, 786–792 (2005). · DOI · Paper page
- Cui, N. P. et al. Protein Tyrosine Kinase 7 Regulates EGFR/Akt signaling pathway and correlates with malignant progression in triple-negative breast cancer. Front. Oncol. 11, 699889 (2021). · DOI
- Stefani, C. et al. Growth dactors, PI3K/AKT/mTOR and MAPK signaling pathways in colorectal cancer pathogenesis: Where Are We Now? Int J. Mol. Sci. 22, 10260 (2021). · DOI · Paper page
- Wang, Y. P. et al. Insulin receptor tyrosine kinase substrate activates EGFR/ERK signalling pathway and promotes cell proliferation of hepatocellular carcinoma. Cancer Lett. 337, 96–106 (2013). · DOI
- Zunke, F. & Rose-John, S. The shedding protease ADAM17: physiology and pathophysiology. Biochim. Biophys. Acta Mol. Cell Res. 1864, 2059–2070 (2017). · DOI
- Scapin, G. et al. Structure of the insulin receptor-insulin complex by single-particle cryo-EM analysis. Nature 556, 122–125 (2018). · DOI
- Kotani, N. et al. Biochemical visualization of cell surface molecular clustering in living cells. Proc. Natl. Acad. Sci. USA 105, 7405–7409 (2008). · DOI
- Kotani, N. et al. Proximity proteomics identifies cancer cell membrane cis-molecular complex as a potential cancer target. Cancer Sci. 110, 2607–2619 (2019). · DOI
- Kumagai, S., Koyama, S. & Nishikawa, H. Antitumour immunity regulated by aberrant ERBB family signalling. Nat. Rev. Cancer 21, 187–197 (2021). · DOI
- Sawasaki, T., Ogasawara, T., Morishita, R. & Endo, Y. A cell-free protein synthesis system for high-throughput proteomics. Proc. Natl. Acad. Sci. USA 99, 14652–14657 (2002). · DOI
- Nagase, T. et al. Exploration of human ORFeome: high-throughput preparation of ORF clones and efficient characterization of their protein products. DNA Res. 15, 137–149 (2008). · DOI
- Berrow, N. S. et al. A versatile ligation-independent cloning method suitable for high-throughput expression screening applications. Nucleic Acids Res. 35, e45 (2007). · DOI
- Law, A. M. K. et al. Andy’s Algorithms: new automated digital image analysis pipelines for FIJI. Sci. Rep. 7, 15717 (2017). · DOI
Metadata
- Authors
- Yamada, K., Shioya, R., Nishino, K., Furihata, H., Hijikata, A., Kaneko, M. K., Kato, Y., Shirai, T., Kosako, H., & Sawasaki, T.
- Affiliations
- Ehime University (JP)
- Institute of Advanced Medical Sciences, Tokushima University (JP)
- Tokyo University of Pharmacy and Life Sciences (JP)
- Tohoku University (JP)
- Nagahama Institute of Bio-Science and Technology (JP)
- Corresponding author
- Kosako, Hidetaka
- Sawasaki, Tatsuya
- ORCID
- Venue
- Nature Communications
- Published
- 2023-12-14
- Volume
- 14
- Issue
- 1
- Pages
- 8301-8301
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC10721602
- OpenAlex
- W4389738380
- Cited by
- 18
- References
- 2
- Citations by year
- 2026: 9 · 2025: 6 · 2024: 3
- FWCI
- 2.60
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- Research Square (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Institutional Repositories DataBase (IRDB) (acceptedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Japan Agency for Medical Research and Development (JP21am0101077, 22ama121010j0001, 23ama121010j0002, JP22ama121008)
- MEXT | Japan Society for the Promotion of Science (19H03218, JP21K19230)
- Takeda Science Foundation
- Joint Usage and Joint Research Programs of the Institute of Advanced Medical Sciences, Tokushima University
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Biotin and Related Studies
- Health Sciences › Medicine › Oncology › HER2/EGFR in Cancer Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Degradation and Inhibitors
- Keywords
- epidermal growth factor receptor, proximity biotinylation, receptor signaling, EGF ligands, gefitinib, kinase inhibitors, protein-protein interaction network
- MeSH terms
- Chromatography, Liquid, Epidermal Growth Factor, Ligands, Phosphorylation, Tandem Mass Spectrometry, ErbB Receptors
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