The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.
An AP-MS- and BioID-compatible MAC-tag enables comprehensive mapping of protein interactions and subcellular localizations
Open accessAbstract
Protein-protein interactions govern almost all cellular functions. These complex networks of stable and transient associations can be mapped by affinity purification mass spectrometry (AP-MS) and complementary proximity-based labeling methods such as BioID. To exploit the advantages of both strategies, we here design and optimize an integrated approach combining AP-MS and BioID in a single construct, which we term MAC-tag. We systematically apply the MAC-tag approach to 18 subcellular and 3 sub-organelle localization markers, generating a molecular context database, which can be used to define a protein’s molecular location. In addition, we show that combining the AP-MS and BioID results makes it possible to obtain interaction distances within a protein complex. Taken together, our integrated strategy enables the comprehensive mapping of the physical and functional interactions of proteins, defining their molecular context and improving our understanding of the cellular interactome.
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Cytoscape: A software Environment for integrated models of biomolecular interaction networks
Shannon, P., Markiel, A., Ozier, O., Baliga, N. S., Wang, J. T., Ramage, D., Amin, N., Schwikowski, B., & Ideker, T. (2003) · Genome Research · doi:10.1101/gr.1239303 · Cited by 51,888
Cox, J., & Mann, M. (2008) · Nature Biotechnology · doi:10.1038/nbt.1511 · Cited by 14,855
Roux, K. J., Kim, D. I., Raida, M., & Burke, B. (2012) · Journal of Cell Biology · doi:10.1083/jcb.201112098 · Cited by 2,416
Huotari, J., & Helenius, A. (2011) · The EMBO Journal · doi:10.1038/emboj.2011.286 · Cited by 2,265
The MIntAct project—IntAct as a common curation platform for 11 molecular interaction databases
Orchard, S., Ammari, M., Aranda, B., Breuza, L., Briganti, L., Broackes-Carter, F., Campbell, N. H., Chavali, G., Chen, C., del-Toro, N., et al. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1115 · Cited by 1,831
The CRAPome: a contaminant repository for affinity purification–mass spectrometry data
Mellacheruvu, D., Wright, Z., Couzens, A. L., Lambert, J.-P., St-Denis, N. A., Li, T., Miteva, Y. V., Hauri, S., Sardiu, M. E., Low, T. Y., et al. (2013) · Nature Methods · doi:10.1038/nmeth.2557 · Cited by 1,686
Proteomic Mapping of Mitochondria in Living Cells via Spatially Restricted Enzymatic Tagging
Martell, J. D., Ting, A. Y., Rhee, H., Zou, P., Udeshi, N. D., Mootha, V. K., & Carr, S. A. (2012) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 1,330
Hedgehog: functions and mechanisms
Varjosalo, M., & Taipale, J. (2008) · Genes & Development · doi:10.1101/gad.1693608 · Cited by 1,217
Self-citationActive Wnt proteins are secreted on exosomes
Gross, J. C., Chaudhary, V., Bartscherer, K., & Boutros, M. (2012) · Nature Cell Biology · doi:10.1038/ncb2574 · Cited by 1,024
An improved smaller biotin ligase for BioID proximity labeling
Kim, D. I., Jensen, S. C., Noble, K. A., KC, B., Roux, K. H., Motamedchaboki, K., & Roux, K. J. (2016) · Molecular Biology of the Cell · doi:10.1091/mbc.e15-12-0844 · Cited by 848
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Lundberg, E., & Borner, G. H. H. (2019) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-018-0094-y · Cited by 591
Proteomic and interactomic insights into the molecular basis of cell functional diversity
Bludau, I., & Aebersold, R. (2020) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-020-0231-2 · Cited by 297
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Role of VPS13, a protein with similarity to ATG2, in physiology and disease
Ugur, B., Hancock-Cerutti, W., Leonzino, M., & De Camilli, P. (2020) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2020.05.027 · Cited by 73
Lipid scrambling is a general feature of protein insertases
Li, D., Rocha-Roa, C., Schilling, M. A., Reinisch, K. M., & Vanni, S. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2319476121 · Cited by 63
Metadata
- Authors
- Liu, X., Salokas, K., Tamene, F., Jiu, Y., Weldatsadik, R. G., Öhman, T., & Varjosalo, M.
- Venue
- Nature Communications
- Published
- 2018-03-22
- Volume
- 9
- Issue
- 1
- Pages
- 1188-1188
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2789251983
- Cited by
- 258
- References
- 71
- FWCI
- 10.77
- Type
- journal article
- Language
- en
- Open access
- gold
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- Liu, X., Salokas, K., Tamene, F., Jiu, Y., Weldatsadik, R. G., Öhman, T., & Varjosalo, M. (2018). An AP-MS- and BioID-compatible MAC-tag enables comprehensive mapping of protein interactions and subcellular localizations. Nature Communications. https://doi.org/10.1038/s41467-018-03523-2
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