Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published September 25, 2024 | In Press
Journal Article Open

Designed endocytosis-inducing proteins degrade targets and amplify signals

Abstract

Endocytosis and lysosomal trafficking of cell surface receptors can be triggered by endogenous ligands. Therapeutic approaches such as lysosome-targeting chimaeras1,2 (LYTACs) and cytokine receptor-targeting chimeras3 (KineTACs) have used this to target specific proteins for degradation by fusing modified native ligands to target binding proteins. Although powerful, these approaches can be limited by competition with native ligands and requirements for chemical modification that limit genetic encodability and can complicate manufacturing, and, more generally, there may be no native ligands that stimulate endocytosis through a given receptor. Here we describe computational design approaches for endocytosis-triggering binding proteins (EndoTags) that overcome these challenges. We present EndoTags for insulin-like growth factor 2 receptor (IGF2R) and asialoglycoprotein receptor (ASGPR), sortilin and transferrin receptors, and show that fusing these tags to soluble or transmembrane target protein binders leads to lysosomal trafficking and target degradation. As these receptors have different tissue distributions, the different EndoTags could enable targeting of degradation to different tissues. EndoTag fusion to a PD-L1 antibody considerably increases efficacy in a mouse tumour model compared to antibody alone. The modularity and genetic encodability of EndoTags enables AND gate control for higher-specificity targeted degradation, and the localized secretion of degraders from engineered cells. By promoting endocytosis, EndoTag fusion increases signalling through an engineered ligand–receptor system by nearly 100-fold. EndoTags have considerable therapeutic potential as targeted degradation inducers, signalling activators for endocytosis-dependent pathways, and cellular uptake inducers for targeted antibody–drug and antibody–RNA conjugates.

Copyright and License

© 2024, The Author(s). This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. 

Acknowledgement

The project or effort depicted was or is sponsored by the Department of Defense, Defense Threat Reduction Agency grant HDTRA1-21-1-0007 (B.H. and L.S.); DARPA Synergistic Discovery and Design (SD2) HR0011835403 contract FA8750-17-C-0219 (W.Y.) and Defense Threat Reduction Agency Grant HDTRA1-21-1-0038 (I.G. and W.Y.). This research was supported by the National Institutes of Health’s National Institute on Aging, grant R01AG063845 (B.H., B.C., I.G. and W.Y.); the National Institutes of Health’s National Cancer Institute, grant R01CA240339 (I.G.); the Audacious Project at the Institute for Protein Design (L.S., X.W., T.S., I.S. and S.W.); the Nordstrom Barrier Institute for Protein Design Directors Fund (B.H., I.G. and M. Abedi); AMGEN Donation to the Institute for Protein Design (S.W. and X.W.); The Open Philanthropy Project Improving Protein Design Fund (B.C. and I.G.); E. Schmidt, W. Schmidt and Schmidt Futures funding from E. Schmidt and W. Schmidt by recommendation of the Schmidt Futures programme (I.G.); the European Molecular Biology Organization via ALTF191-2021 (T.S.); NIH grant GM058867 (C.R.B.); and the Jane Coffin Childs Memorial Fund for Medical Research (M. Abedi). This research was also funded by National Science Foundation Graduate Research Fellowship and Stanford Center for Molecular Analysis and Design (G.A.). We acknowledge the excellent support from the Biology Imaging Facility at the University of Washington during the confocal imaging experiments. The authors thank M. Gloegl for help with the SPR experiment setup; M. Exposit for support with the OT-2 liquid handler; X. Li for help with mass spectrometry analysis of proteins; B. Wicky, L. Milles and R. Ragotte for optimizing the golden gate assembly protocol; A.Coubet for the analysis of preliminary cryo-electron microscopy (cryo-EM) data; D. Lee for transfection of secretable EGFR-IGF_EndoTag; S. Thompson for bridging the connection of the main collaborators in this project; the Banik laboratory for providing the IGF2R-knockout cell line; and I. Haydon for help with graphics. Figures 2b–g and 4a,c include elements created with BioRender.com.

Data Availability

The raw data for the flow cytometry, next-generation sequencing, designed binder models and sequences are available at https://doi.org/10.5281/zenodo.11002950 (ref. 52). Source data are provided with this paper.

Code Availability

The Rosetta modelling suite (https://www.rosettacommons.org) is available to academic and non-commercial users for free. Commercial licences for the suite are also available through the University of Washington Technology Transfer Office. The source code for RIF docking is available at https://github.com/rifdock/rifdock. The source code for protein inpainting is available at https://github.com/RosettaCommons/RFDesign. The source code for ProteinMPNN is available at https://github.com/dauparas/ProteinMPNN. The scripts used in this paper for binder design applying the above codes, customized image processing and data processing are available at https://doi.org/10.5281/zenodo.11002950

Conflict of Interest

B.H., M. Abedi, G.A., I.S., L.S. and D.B. are co-inventors on a provisional patent application that incorporates discoveries described in this manuscript. B.C., I.G., J.O., P.G., L.S. and D.B. are co-inventors on a provisional patent application that incorporates discoveries described in this manuscript.

Supplemental Material

Contributions

B.H., M. Abedi, G.A. and D.B. designed the research. B.H. designed, screened and optimized the binders for IGF2R and ASGPR. B.H. and I.S. designed and screened the rigid IGF_EndoTags. P.V. ran partial diffusion for ASGPR binders. B.C. designed and optimized the binders for sortilin. I.G. screened and optimized the binders for sortilin. J.O., Y.L., R.Y., Y.L., A. Misquith, A.W. and P.G. modelled, characterized and produced the N-glycan variants for sortilin. B.C. and L. Cao developed the Rifdock binder design pipeline. N.R.B. set up the PPI MPNN and AlphaFold2 pipeline for computational binder design. B.H. and M. Abedi studied the endocytosis enhancement effect in vitro. B.H., M. Abedi and G.A. evaluated the protein-degradation function of all EndoTags. M. Abedi, J.Z.Z. and T.S. performed the imaging experiments. M. Abedi, D.I.P., A.C.-G., M.J.D.G. and K.T.R. developed the SNIPR platform. W.Y. developed the CTLA4mb. W.Y. and X.W. contributed to binder design, library preparation and assay development. M. Abedi evaluated the application of EndoTag for signalling activation. M. Abedi evaluated the co-LOCKR AND gate degrader and secretable degrader. R.W. prepared the IGF2R target protein with advice from X.L. R.W. and S.W. performed the cryo-EM experiment and collected the cryo-EM density map. S.S. wrote the image analysis script used for imaging. Y.W. performed the proteomics analysis for whole-cell protein degradation. L.M.T. and J.B.S. characterized the antibody fusion of pLYTACs. D.D.S. generated the design basis of the TfR_EndoTag. C.T. and G.J.L.B. designed the in vivo anti-tumour experiments. C.T. conducted the in vivo experiments and data collection. B.H., C.W.C, S.C. and S.G produced and purified the protein used in the research. D.D.S. optimized the TfR_EndoTag. G.A., M. Abedi, M. Ahlrichs and C.D. prepared the cells used for this study. L. Carter and L.S. coordinated the resources and funding required for the research. C.R.B. and D.B. supervised this research. B.H., M. Abedi, G.A. and D.B. wrote the manuscript with the input from the other authors. All authors analysed data and revised the manuscript.

Files

s41586-024-07948-2.pdf
Files (15.6 MB)
Name Size Download all
md5:3bcbe6ebd92c607988a1241834939b12
6.5 MB Preview Download
md5:d89e1a97728aa1bc26a7b19c2f7ecc82
9.2 MB Preview Download

Additional details

Created:
November 20, 2024
Modified:
November 20, 2024