CRISPR-Mediated Tagging of Endogenous Proteins with a Luminescent Peptide
Open accessAbstract
Intracellular signaling pathways are mediated by changes in protein abundance and post-translational modifications. A common approach for investigating signaling mechanisms and the effects induced by synthetic compounds is through overexpression of recombinant reporter genes. Genome editing with CRISPR/Cas9 offers a means to better preserve native biology by appending reporters directly onto the endogenous genes. An optimal reporter for this purpose would be small to negligibly influence intracellular processes, be readily linked to the endogenous genes with minimal experimental effort, and be sensitive enough to detect low expressing proteins. HiBiT is a 1.3 kDa peptide (11 amino acids) capable of producing bright and quantitative luminescence through high affinity complementation (KD = 700 pM) with an 18 kDa subunit derived from NanoLuc (LgBiT). Using CRISPR/Cas9, we demonstrate that HiBiT can be rapidly and efficiently integrated into the genome to serve as a reporter tag for endogenous proteins. Without requiring clonal isolation of the edited cells, we were able to quantify changes in abundance of the hypoxia inducible factor 1A (HIF1α) and several of its downstream transcriptional targets in response to various stimuli. In combination with fluorescent antibodies, we further used HiBiT to directly correlate HIF1α levels with the hydroxyproline modification that mediates its degradation. These results demonstrate the ability to efficiently tag endogenous proteins with a small luminescent peptide, allowing sensitive quantitation of the response dynamics in their regulated expression and covalent modifications.
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Other assay methodologies to detect target levels have been useful for the TPD field for high-throughput and accurate measurements, e.g. ELISA or the HiBit-LgBit split nanoluciferase system.
“Other assay methodologies to detect target levels have been very useful for the TPD field when aiming for highthroughput and accurate measurements (e.g., ELISA or the HiBit-LgBit split nanoluciferase system).164”
From Chasing molecular glue degraders: screening approaches (2022) · cites this paper as [164]
Cites
Engineered Luciferase Reporter from a Deep Sea Shrimp Utilizing a Novel Imidazopyrazinone Substrate
Hall, M. P., Unch, J., Binkowski, B. F., Valley, M. P., Butler, B. L., Wood, M. G., Otto, P., Zimmerman, K., Vidugiris, G. J. A., Machleidt, T., et al. (2012) · ACS Chemical Biology · doi:10.1021/cb3002478 · Cited by 1,588 · see citing works
Self-citationNanoLuc Complementation Reporter Optimized for Accurate Measurement of Protein Interactions in Cells
Dixon, A. S., Schwinn, M. K., Hall, M. P., Zimmerman, K., Otto, P., Lubben, T. H., Butler, B. L., Binkowski, B. F., Machleidt, T., Kirkland, T. A., et al. (2016) · ACS Chemical Biology · doi:10.1021/acschembio.5b00753 · Cited by 1,405 · see citing works
Self-citationProtein tagging and detection with engineered self-assembling fragments of green fluorescent protein
Cabantous, S., Terwilliger, T. C., & Waldo, G. S. (2004) · Nature Biotechnology · doi:10.1038/nbt1044 · Cited by 939 · see citing works
Transcriptional regulation by hypoxia inducible factors
Dengler, V. L., Galbraith, M. D., & Espinosa, J. M. (2013) · Critical Reviews in Biochemistry and Molecular Biology · doi:10.3109/10409238.2013.838205 · Cited by 774 · see citing works
Kallio, P., Okamoto, K., O'Brien, S., Carrero, P., Makino, Y., Tanaka, H., & Poellinger, L. (1998) · EMBO Journal · doi:10.1093/emboj/17.22.6573 · Cited by 707 · see citing works
NanoBRET─A Novel BRET Platform for the Analysis of Protein–Protein Interactions
Machleidt, T., Woodroofe, C. C., Schwinn, M. K., Méndez, J., Robers, M. B., Zimmerman, K., Otto, P., Daniels, D. L., Kirkland, T. A., & Wood, K. V. (2015) · ACS Chemical Biology · doi:10.1021/acschembio.5b00143 · Cited by 506 · see citing works
Self-citationBenita, Y., Kikuchi, H., Smith, A. D., Zhang, M. Q., Chung, D. C., & Xavier, R. J. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkp425 · Cited by 469 · see citing works
Bioluminescent Assays for High-Throughput Screening
Fan, F., & Wood, K. V. (2007) · Assay and Drug Development Technologies · doi:10.1089/adt.2006.053 · Cited by 449 · see citing works
Self-citationEvolution and functional cross‐talk of protein post‐translational modifications
Beltrão, P., Bork, P., Krogan, N. J., & van Noort, V. (2013) · Molecular Systems Biology · doi:10.1002/msb.201304521 · Cited by 379 · see citing works
Masson, N., & Ratcliffe, P. J. (2014) · Cancer & Metabolism · doi:10.1186/2049-3002-2-3 · Cited by 296 · see citing works
Hypoxia Up-regulates Prolyl Hydroxylase Activity
D’Angelo, G., Duplan, E., Boyer, N., Vigne, P., & Frelin, C. (2003) · Journal of Biological Chemistry · doi:10.1074/jbc.m302244200 · Cited by 285 · see citing works
Frost, J., Galdeano, C., Soares, P., Gadd, M. S., Grzes, K. M., Ellis, L. C. J., Epemolu, O., Shimamura, S., Bantscheff, M., Grandi, P., et al. (2016) · Nature Communications · doi:10.1038/ncomms13312 · Cited by 242 · see citing works
Proteome complexity and the forces that drive proteome imbalance
Harper, J. W., & Bennett, E. J. (2016) · Nature · doi:10.1038/nature19947 · Cited by 234 · see citing works
A scalable strategy for high-throughput GFP tagging of endogenous human proteins
Leonetti, M. D., Sekine, S., Kamiyama, D., Weissman, J. S., & Huang, B. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1606731113 · Cited by 225 · see citing works
Signalling via the hypoxia-inducible factor-1α requires multiple posttranslational modifications
Brahimi‐Horn, C., Mazure, N. M., & Pouysségur, J. (2004) · Cellular Signalling · doi:10.1016/j.cellsig.2004.04.010 · Cited by 213 · see citing works
A generic strategy for CRISPR-Cas9-mediated gene tagging
Lackner, D. H., Carré, A., Guzzardo, P. M., Banning, C., Mangena, R., Henley, T., Oberndorfer, S., Gapp, B. V., Nijman, S. M. B., Brummelkamp, T. R., et al. (2015) · Nature Communications · doi:10.1038/ncomms10237 · Cited by 195 · see citing works
Berra, E., Roux, D., Richard, D. E., & Pouysségur, J. (2001) · EMBO Reports · doi:10.1093/embo-reports/kve130 · Cited by 183 · see citing works
The Impact of Chromatin Dynamics on Cas9-Mediated Genome Editing in Human Cells
Daer, R., Cutts, J., Brafman, D. A., & Haynes, K. A. (2016) · ACS Synthetic Biology · doi:10.1021/acssynbio.5b00299 · Cited by 174 · see citing works
Quantitative nature of overexpression experiments
Moriya, H. (2015) · Molecular Biology of the Cell · doi:10.1091/mbc.e15-07-0512 · Cited by 172 · see citing works
Genome editing via delivery of Cas9 ribonucleoprotein
DeWitt, M. A., Corn, J. E., & Carroll, D. (2017) · Methods · doi:10.1016/j.ymeth.2017.04.003 · Cited by 172 · see citing works
Ratz, M., Testa, I., Hell, S. W., & Jakobs, S. (2015) · Scientific Reports · doi:10.1038/srep09592 · Cited by 167 · see citing works
Zhao, Y., Xiong, X., Jia, L., & Sun, Y. (2012) · Cell Death and Disease · doi:10.1038/cddis.2012.125 · Cited by 143 · see citing works
Differential activation of vascular genes by hypoxia in primary endothelial cells
Nilsson, I., Shibuya, M., & Wennström, S. (2004) · Experimental Cell Research · doi:10.1016/j.yexcr.2004.06.005 · Cited by 123 · see citing works
Chan, M. C., Ilott, N. E., Schödel, J., Sims, D., Tumber, A., Lippl, K., Mole, D. R., Pugh, C. W., Ratcliffe, P. J., Ponting, C. P., et al. (2016) · Journal of Biological Chemistry · doi:10.1074/jbc.m116.749291 · Cited by 111 · see citing works
Considerations when quantitating protein abundance by immunoblot
McDonough, A. A., Veiras, L. C., Minas, J. N., & Ralph, D. L. (2014) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00400.2014 · Cited by 106 · see citing works
Interrogating the Roles of Post-Translational Modifications of Non-Histone Proteins
Buuh, Z. Y., Lyu, Z., & Wang, R. E. (2017) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.6b01817 · Cited by 59 · see citing works
Identification of Chemical Compounds that Induce HIF-1α Activity
Xia, M., Huang, R., Sun, Y., Semenza, G. L., Aldred, S. F., Witt, K. L., Inglese, J., Tice, R. R., & Austin, C. P. (2009) · Toxicological Sciences · doi:10.1093/toxsci/kfp123 · Cited by 57 · see citing works
Discovery of a new molecular probe ML228: An activator of the hypoxia inducible factor (HIF) pathway
Thériault, J. R., Felts, A. S., Bates, B. S., Perez, J. R., Palmer, M. A. J., Gilbert, S. R., Dawson, E. S., Engers, J. L., Lindsley, C. W., & Emmitte, K. A. (2011) · Bioorganic & Medicinal Chemistry Letters · doi:10.1016/j.bmcl.2011.11.077 · Cited by 33 · see citing works
Beri, J., Rosenblatt, M. M., Strauss, E., et al. (2015) · Analytical Chemistry · doi:10.1021/acs.analchem.5b04121 · Cited by 23 · see citing works
Hong, Y. R., Kim, H. T., Lee, S., Ro, S., Cho, J. M., Kim, I. S., & Jung, Y. H. (2013) · Bioorganic & Medicinal Chemistry Letters · doi:10.1016/j.bmcl.2013.08.067 · Cited by 15 · see citing works
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Horowitz, A. M., Fan, X., Bieri, G., Smith, L. K., Sanchez-Diaz, C. I., Schroer, A. B., Gontier, G., Casaletto, K. B., Kramer, J. H., Williams, K. E., et al. (2020) · Science · doi:10.1126/science.aaw2622 · Cited by 496 · see citing works
Platelet factors attenuate inflammation and rescue cognition in ageing
Schroer, A. B., Ventura, P. B., Sucharov, J., Misra, R., Chui, M. K. K., Bieri, G., Horowitz, A. M., Smith, L. K., Encabo, K., Tenggara, I., et al. (2023) · Nature · doi:10.1038/s41586-023-06436-3 · Cited by 252 · see citing works
Chasing molecular glue degraders: screening approaches
Domostegui, A., Nieto-Barrado, L., Perez-Lopez, C., & Mayor-Ruiz, C. (2022) · Chemical Society Reviews · doi:10.1039/d2cs00197g · Cited by 200 · see citing works
Targeting cancer with small-molecule pan-KRAS degraders
Popow, J., Farnaby, W., Gollner, A., Kofink, C., Fischer, G., Wurm, M., Zollman, D., Wijaya, A., Mischerikow, N., Hasenoehrl, C., et al. (2024) · Science · doi:10.1126/science.adm8684 · Cited by 198 · see citing works
Discovery and characterization of a selective IKZF2 glue degrader for cancer immunotherapy
Bonazzi, S., d’Hennezel, E., Beckwith, R. E. J., Xu, L., Fazal, A., Magracheva, A., Ramesh, R., Cernijenko, A., Antonakos, B., Bhang, H.-E. C., et al. (2023) · Cell Chemical Biology · doi:10.1016/j.chembiol.2023.02.005 · Cited by 167 · see citing works
PROTAC degraders as chemical probes for studying target biology and target validation
Němec, V., Schwalm, M. P., Müller, S., & Knapp, S. (2022) · Chemical Society Reviews · doi:10.1039/d2cs00478j · Cited by 98 · see citing works
Foley, C. A., Potjewyd, F., Lamb, K. N., James, L. I., & Frye, S. V. (2020) · ACS Chemical Biology · doi:10.1021/acschembio.9b00972 · Cited by 89 · see citing works
Monomeric Targeted Protein Degraders
Hanan, E. J., Liang, J., Wang, X., Blake, R. A., Blaquiere, N., & Staben, S. T. (2020) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.0c00093 · Cited by 69 · see citing works
Profiling the Landscape of Drug Resistance Mutations in Neosubstrates to Molecular Glue Degraders
Gosavi, P. M., Ngan, K. C., Yeo, M. J. R., Su, C., Li, J., Lue, N. Z., Hoenig, S. M., & Liau, B. B. (2022) · ACS Central Science · doi:10.1021/acscentsci.1c01603 · Cited by 56 · see citing works
Payne, N. C., Maksoud, S., Tannous, B. A., & Mazitschek, R. (2022) · Cell Chemical Biology · doi:10.1016/j.chembiol.2022.05.003 · Cited by 44 · see citing works
Identification of an allosteric site on the E3 ligase adapter cereblon
Dippon, V. N., Rizvi, Z., Choudhry, A. E., Chung, C.-W., Alkuraya, I. F., Xu, W., Tao, X. B., Jurewicz, A. J., Schneck, J. L., Chen, W., et al. (2026) · Nature · doi:10.1038/s41586-025-09994-w · Cited by 14 · see citing works
- Authors
- Schwinn, M. K., Machleidt, T., Zimmerman, K., Eggers, C. T., Dixon, A. S., Hurst, R., Hall, M. P., Encell, L. P., Binkowski, B. F., & Wood, K. V.
- Affiliations
- Promega (United States) (US)
- University of Utah (US)
- Corresponding author
- Schwinn, Marie K.
- Venue
- ACS Chemical Biology
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-09-11
- Volume
- 13
- Issue
- 2
- Pages
- 467-474
- ISSN
- 1554-8929 (ISSN-L)
- 1554-8937
- OpenAlex
- W2754886024
- Cited by
- 434
- References
- 30
- Citations by year
- 2026: 59 · 2025: 77 · 2024: 74 · 2023: 59 · 2022: 42 · 2021: 36 · 2020: 49 · 2019: 23 · 2018: 14 · 2017: 1
- FWCI
- 9.83
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- ACS Chemical Biology (publishedVersion, other-oa)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › bioluminescence and chemiluminescence research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › CRISPR and Genetic Engineering
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Advanced Fluorescence Microscopy Techniques
- Keywords
- HiBiT, CRISPR/Cas9 genome editing, endogenous protein tagging, HIF-1α, hypoxia, protein degradation, transcriptional regulation, intracellular signaling
- MeSH terms
- Gene Editing, CRISPR-Associated Protein 9, Antibodies, Carrier Proteins, HeLa Cells, Humans, Leupeptins, Luciferases, Luminescent Proteins, Membrane Proteins, Neoplasm Proteins, Oligopeptides, Protein Processing, Post-Translational, Proto-Oncogene Proteins, Streptococcus pyogenes, Genes, Reporter, Low Density Lipoprotein Receptor-Related Protein-2, Adaptor Proteins, Signal Transducing, Luminescence, Kruppel-Like Transcription Factors, Early Growth Response Transcription Factors, Hypoxia-Inducible Factor 1, alpha Subunit, Bioluminescence Resonance Energy Transfer Techniques, CRISPR-Cas Systems
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