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Enhancing the performance of Magnets photosensors
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  • Published: 18 March 2026

Enhancing the performance of Magnets photosensors

  • Armin Baumschlager  ORCID: orcid.org/0000-0002-2546-90381 na1,
  • Yanik Weber  ORCID: orcid.org/0000-0002-0914-85411,2 na1,
  • David Cánovas  ORCID: orcid.org/0000-0002-7293-73323 na1,
  • Sara Dionisi1 &
  • …
  • Mustafa Khammash  ORCID: orcid.org/0000-0002-4855-92201 

Nature Communications , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • High-throughput screening
  • Optogenetics
  • Synthetic biology
  • Transcription

Abstract

Photosensory protein domains, derived from nature, are foundational for optogenetic protein engineering. Tailoring their properties enables their full exploitation for optogenetic regulation in basic research and applied bioengineering applications. Here, we present a simple, yet powerful strategy based on random mutagenesis coupled to high-throughput screening that allowed altering the most fundamental properties of the widely used nMag/pMag photodimerization system: its light sensitivity and activation. Variants were characterized in vivo in bacteria by flow cytometry and during the entire growth curve by spectrofluorometry. We identify mutations that either increase or decrease the light sensitivity at sub-saturating light intensities, while also improving the light activation and dark-to-light fold change. Notably, light sensitivity and activation levels could be changed independently. In addition, we demonstrated that the shapes of the dose-response curves can be finely tuned. This broadens the applicability of the Magnets photosensors for optogenetic regulation strategies.

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Data availability

Source data are provided with this paper and are available at Zenodo [https://doi.org/10.5281/zenodo.18815874]. Previously published protein structures are available at the PDB under accession code PDB 3RH8. Source data are provided with this paper.

References

  1. Kianianmomeni, A. Optogenetics: Methods and Protocols, Methods in Molecular Biology. vol. 1408 (Springer, 2015).

  2. Baumschlager, A. Optogenetics: Methods and Protocols, Methods in Molecular Biology. vol. 2840 (Springer, 2025).

  3. Baumschlager, A. Engineering light-control in biology. Front. Bioeng. Biotechnol. 10, 1–15 (2022).

    Google Scholar 

  4. Shimizu-Sato, S., Huq, E., Tepperman, J. M. & Quail, P. H. A light-switchable gene promoter system. Nat. Biotechnol. 20, 1041–1044 (2002).

    Google Scholar 

  5. Baumschlager, A. & Khammash, M. Synthetic biological approaches for optogenetics and tools for transcriptional light-control in bacteria. Adv. Biol. 5, 2000256 (2021).

    Google Scholar 

  6. Hughes, R. M. A compendium of chemical and genetic approaches to light-regulated gene transcription. Crit. Rev. Biochem. Mol. Biol. 53, 453–474 (2018).

    Google Scholar 

  7. Santos-Moreno, J. & Schaerli, Y. Using synthetic biology to engineer spatial patterns. Adv. Biosyst. 3, 1–15 (2019).

    Google Scholar 

  8. Baumschlager, A., Aoki, S. K. & Khammash, M. Dynamic blue light-inducible T7 RNA polymerases (Opto-T7RNAPs) for precise spatiotemporal gene expression control. ACS Synth. Biol. 6, 2157–2167 (2017).

    Google Scholar 

  9. Goglia, A. G. & Toettcher, J. E. A bright future: optogenetics to dissect the spatiotemporal control of cell behavior. Curr. Opin. Chem. Biol. 48, 106–113 (2019).

    Google Scholar 

  10. Johnson, H. E. & Toettcher, J. E. Illuminating developmental biology with cellular optogenetics. Curr. Opin. Biotechnol. 52, 42–48 (2018).

    Google Scholar 

  11. Johnson, H. E. & Toettcher, J. E. Signaling dynamics control cell fate in the early Drosophila embryo. Dev. Cell 48, 361–370 (2019).

    Google Scholar 

  12. Stanton, B. Z., Chory, E. J. & Crabtree, G. R. Chemically induced proximity in biology and medicine. Science 359, eaao5902 (2018).

    Google Scholar 

  13. Ullrich, A. & Schlessinger, J. Signal transduction by receptors with tyrosine kinase activity. Cell 61, 203–212 (1990).

    Google Scholar 

  14. Grusch, M. et al. Spatio-temporally precise activation of engineered receptor tyrosine kinases by light. EMBO J. 33, 1713–1726 (2014).

    Google Scholar 

  15. Inglés-Prieto, Á et al. Light-assisted small-molecule screening against protein kinases. Nat. Chem. Biol. 11, 952–954 (2015).

    Google Scholar 

  16. Zimmerman, S. P. et al. Tuning the binding affinities and reversion kinetics of a light inducible dimer allows control of transmembrane protein localization. Biochemistry 55, 5264–5271 (2016).

    Google Scholar 

  17. Sako, K. et al. Optogenetic control of nodal signaling reveals a temporal pattern of nodal signaling regulating cell fate specification during gastrulation. Cell Rep. 16, 866–877 (2016).

    Google Scholar 

  18. Chang, K. Y. et al. Light-inducible receptor tyrosine kinases that regulate neurotrophin signalling. Nat. Commun. 5, 4057 (2014).

    Google Scholar 

  19. Wend, S. et al. Optogenetic control of protein kinase activity in mammalian cells. ACS Synth. Biol. 3, 280–285 (2014).

    Google Scholar 

  20. Nihongaki, Y., Suzuki, H., Kawano, F. & Sato, M. Genetically engineered photoinducible homodimerization system with improved dimer-forming efficiency. ACS Chem. Biol. 9, 617–621 (2014).

    Google Scholar 

  21. Nihongaki, Y., Kawano, F., Nakajima, T. & Sato, M. Photoactivatable CRISPR-Cas9 for optogenetic genome editing. Nat. Biotechnol. 33, 755–760 (2015).

    Google Scholar 

  22. Schindler, S. E. et al. Photo-activatable Cre recombinase regulates gene expression in vivo. Sci. Rep. 5, 13627 (2015).

    Google Scholar 

  23. Tucker, C. L., Vrana, J. D. & Kennedy, M. J. Tools for controlling protein interactions using light. Curr. Protoc. Cell Biol. 64, 17.16.1–17.16.20 (2014).

    Google Scholar 

  24. Müller, K. & Weber, W. Optogenetic tools for mammalian systems. Mol. Biosyst. 9, 596–608 (2013).

    Google Scholar 

  25. Müller, K., Engesser, R., Timmer, J., Zurbriggen, M. D. & Weber, W. Orthogonal Optogenetic Triple-Gene Control in Mammalian Cells. ACS Synth. Biol. 3, 796–801 (2014).

    Google Scholar 

  26. Kawano, F., Suzuki, H., Furuya, A. & Sato, M. Engineered pairs of distinct photoswitches for optogenetic control of cellular proteins. Nat. Commun. 6, 6256 (2015).

    Google Scholar 

  27. Zoltowski, B. D. et al. Conformational switching in the fungal light sensor vivid. Science 316, 1054–1057 (2007).

    Google Scholar 

  28. Nihongaki, Y. et al. CRISPR-Cas9-based photoactivatable transcription systems to induce neuronal differentiation. Nat. Methods 14, 963–966 (2017).

    Google Scholar 

  29. Nihongaki, Y., Otabe, T., Ueda, Y. & Sato, M. A split CRISPR–Cpf1 platform for inducible genome editing and gene activation. Nat. Chem. Biol. 15, 882–888 (2019).

    Google Scholar 

  30. Kawano, F., Okazaki, R., Yazawa, M. & Sato, M. A photoactivatable Cre-loxP recombination system for optogenetic genome engineering. Nat. Chem. Biol. 12, 1059–1064 (2016).

    Google Scholar 

  31. Sheets, M. B., Wong, W. W. & Dunlop, M. J. Light-inducible recombinases for bacterial optogenetics. ACS Synth. Biol. 9, 227–235 (2020).

    Google Scholar 

  32. Benedetti, L. et al. Light-activated protein interaction with high spatial subcellular confinement. Proc. Natl. Acad. Sci. USA 115, E2238–E2245 (2018).

    Google Scholar 

  33. Chen, F. & Wegner, S. V. Blue light switchable bacterial adhesion as a key step toward the design of biofilms. ACS Synth. Biol. 6, 2170–2174 (2017).

    Google Scholar 

  34. Wang, X., Chen, X. & Yang, Y. Spatiotemporal control of gene expression by a light-switchable transgene system. Nat. Methods 9, 266–269 (2012).

    Google Scholar 

  35. Raghavan, G., Hidaka, K., Sugiyama, H. & Endo, M. Direct observation and analysis of the dynamics of the photoresponsive transcription factor GAL4. Angew. Chem. - Int. Ed. 58, 7626–7630 (2019).

    Google Scholar 

  36. Guinn, M. T. & Balázsi, G. Noise-reducing optogenetic negative-feedback gene circuits in human cells. Nucleic Acids Res. 47, 7703–7714 (2019).

    Google Scholar 

  37. Yao, S. et al. RecV recombinase system for in vivo targeted optogenomic modifications of single cells or cell populations. Nat. Methods 17, 422–429 (2020).

    Google Scholar 

  38. Li, X. et al. A single-component light sensor system allows highly tunable and direct activation of gene expression in bacterial cells. Nucleic Acids Res. 48, e33 (2020).

    Google Scholar 

  39. Romano, E. et al. Engineering AraC to make it responsive to light instead of arabinose. Nat. Chem. Biol. 17, 817–827 (2021).

    Google Scholar 

  40. Crosson, S. & Moffat, K. Structure of a flavin-binding plant photoreceptor domain: Insights into light-mediated signal transduction. Proc. Natl. Acad. Sci. USA 98, 2995–3000 (2001).

    Google Scholar 

  41. Vaidya, A. T., Chen, C.-H. H., Dunlap, J. C., Loros, J. J. & Crane, B. R. Structure of a light-activated LOV protein dimer that regulates transcription. Sci. Signal 4, 1–8 (2011).

    Google Scholar 

  42. Zoltowski, B. D., Vaccaro, B. & Crane, B. R. Mechanism-based tuning of a LOV domain photoreceptor. Nat. Chem. Biol. 5, 827–834 (2009).

    Google Scholar 

  43. Crosson, S., Rajagopal, S. & Moffat, K. The LOV domain family: Photoresponsive signaling modules coupled to diverse output domains. Biochemistry 42, 2–10 (2003).

    Google Scholar 

  44. Conrad, K. S., Manahan, C. C. & Crane, B. R. Photochemistry of flavoprotein light sensors. Nat. Chem. Biol. 10, 801–809 (2014).

    Google Scholar 

  45. Benedetti, L. et al. Optimized vivid-derived magnets photodimerizers for subcellular optogenetics in mammalian cells. Elife 9, 1–49 (2020).

    Google Scholar 

  46. Hockberger, P. E. et al. Activation of flavin-containing oxidases underlies light-induced production of H2O2 in mammalian cells. Proc. Natl. Acad. Sci. USA 96, 6255–6260 (1999).

    Google Scholar 

  47. Reshetnikov, V. V., Smolskaya, S. V., Feoktistova, S. G. & Verkhusha, V. V. Optogenetic approaches in biotechnology and biomaterials. Trends Biotechnol. 40, 858–874 (2022).

    Google Scholar 

  48. Salis, H. M., Mirsky, E. A. & Voigt, C. A. Automated design of synthetic ribosome binding sites to control protein expression. Nat. Biotechnol. 27, 946–950 (2009).

    Google Scholar 

  49. Cahn, J. K. B., Baumschlager, A., Brinkmann-Chen, S. & Arnold, F. H. Mutations in adenine-binding pockets enhance catalytic properties of NAD(P)H-dependent enzymes. Protein Eng. Des. Selection 29, 31–38 (2015).

    Google Scholar 

  50. Ward, J. H. Hierarchical grouping to optimize an objective function. J. Am. Stat. Assoc. 58, 236–244 (1963).

    Google Scholar 

  51. Kille, S. et al. Reducing codon redundancy and screening effort of combinatorial protein libraries created by saturation mutagenesis. ACS Synth. Biol. 2, 83–92 (2013).

    Google Scholar 

  52. Tang, L. et al. Construction of ‘small-intelligent’ focused mutagenesis libraries using well-designed combinatorial degenerate primers. Biotechniques 52, 149–158 (2012).

    Google Scholar 

  53. Rousseeuw, P. J. Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. J. Comput. Appl. Math. 20, 53–65 (1987).

    Google Scholar 

  54. Hunt, S. M., Elvin, M., Crosthwaite, S. K. & Heintzen, C. The PAS/LOV protein VIVID controls temperature compensation of circadian clock phase and development in Neurospora crassa. Genes Dev. 21, 1964–1974 (2007).

    Google Scholar 

  55. Yee, E. F., Chandrasekaran, S., Lin, C. & Crane, B. R. Physical Methods for Studying Flavoprotein Photoreceptors. Methods in Enzymology vol. 620 (Elsevier, 2019).

  56. Zhou, H., Dong, Z., Verkhivker, G., Zoltowski, B. D. & Tao, P. Allosteric mechanism of the circadian protein vivid resolved through Markov state model and machine learning analysis. PLoS Comput. Biol. 15, 1–28 (2019).

    Google Scholar 

  57. Dasgupta, A. et al. Biological significance of photoreceptor photocycle length: vivid photocycle governs the dynamic VIVID-white collar complex pool mediating photo-adaptation and response to changes in light intensity. PLoS Genet. 11, 1–23 (2015).

    Google Scholar 

  58. Dionisi, S., Piera, K., Baumschlager, A. & Khammash, M. Implementation of a novel optogenetic tool in mammalian cells based on a split T7 RNA polymerase. ACS Synth. Biol. 11, 2650–2661 (2022).

    Google Scholar 

  59. Chung, C. T., Niemela, S. L. & Miller, R. H. One-step preparation of competent Escherichia coli: Transformation and storage of bacterial cells in the same solution (recombinant DNA). Pnas 86, 2172–2175 (1989).

    Google Scholar 

  60. Sambrook, J. Molecular Cloning: A Laboratory Manual. (Cold Spring Harbor Laboratory Press, 2001).

  61. Cline, J. PCR fidelity of PFU DNA polymerase and other thermostable DNA polymerases. Nucleic Acids Res. 24, 3546–3551 (1996).

    Google Scholar 

  62. Gibson, D. G. et al. Enzymatic assembly of DNA molecules up to several hundred kilobases. Nat. Methods 6, 343–345 (2009).

    Google Scholar 

  63. Maechler, M., Rousseeuw, P., Struyf, A., Hubert, M. & Hornik, K. cluster: cluster analysis basics and extensions. R package version 2.0.5. https://cran.r-project.org/web/packages/cluster/index.html (2016).

  64. Kassambara, A. & Mundt, F. factoextra: extract and visualize the results of multivariate data analyses. R package version 1.0.7. https://cran.r-project.org/web/packages/factoextra/index.html (2020).

  65. Galili, T. Dendextend: an R package for visualizing, adjusting and comparing trees of hierarchical clustering. Bioinformatics 31, 3718–3720 (2015).

    Google Scholar 

  66. Wickham, H. Ggplot2: Elegant Graphics for Data Analysis. (Springer, 2016).

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Acknowledgements

We thank Dr. Tsvetan Kardashliev for helpful discussions and Dr. Luzius Pestalozzi for the testing and the supply of the polymerase and buffer used for error-prone PCR. We further thank Dr. Stephanie Aoki for helpful discussions. We thank the Single Cell and Lab Automation Facility of the DBSSE, ETH Zurich, in particular Dr. Gregor Schmidt, Dr. Aleksandra Gumienny, and Dr. Mariangela Di Tacchio for their excellent support throughout the project. This article is dedicated to the memory of Josep (Pepe) Casadesús. We acknowledge funding from FET-Open research and innovation actions grant under the European Union’s Horizon 2020 research and innovation program (CyGenTiG; grant agreement 801041) to M.K. D.C. was a recipient of an EMBO Short-Term Fellowship (Grant number 8903).

Funding

Open access funding provided by Swiss Federal Institute of Technology Zurich.

Author information

Author notes
  1. These authors contributed equally: Armin Baumschlager, Yanik Weber, David Cánovas.

Authors and Affiliations

  1. Department of Biosystems Science and Engineering (D-BSSE), ETH Zürich, Basel, Switzerland

    Armin Baumschlager, Yanik Weber, Sara Dionisi & Mustafa Khammash

  2. Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland

    Yanik Weber

  3. Department of Genetics, Faculty of Biology, University of Seville, Seville, Spain

    David Cánovas

Authors
  1. Armin Baumschlager
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  2. Yanik Weber
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  3. David Cánovas
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  4. Sara Dionisi
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  5. Mustafa Khammash
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Contributions

A.B. conceived, planned, and coordinated the project and wrote the manuscript with contributions from all authors. A.B. and Y.W. generated the libraries and performed the FACS. A.B., Y.W., and D.C. designed and performed bacterial experiments and analyzed the corresponding data. D.C. performed the PC analysis and hierarchical clustering. S.D. performed experiments in mammalian cells and analyzed the corresponding data. M.K. supervised the project and provided funding.

Corresponding authors

Correspondence to Armin Baumschlager or Mustafa Khammash.

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The authors declare no competing interests.

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Baumschlager, A., Weber, Y., Cánovas, D. et al. Enhancing the performance of Magnets photosensors. Nat Commun (2026). https://doi.org/10.1038/s41467-026-70695-7

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  • Received: 23 December 2022

  • Accepted: 03 March 2026

  • Published: 18 March 2026

  • DOI: https://doi.org/10.1038/s41467-026-70695-7

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