Bacterial encapsulins as orthogonal compartments for mammalian cell engineering
Name
s41467-018-04227-3.pdf
Description
Published version
Size
2.85 MB
Format
Adobe PDF
Checksum (MD5)
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Author(s)
Massner, Christoph
Erdmann, Philipp
Stelzl, Anja
Rolbieski, Hannes
Desai, Mitul
Bricault, Sarah Jean
Wörner, Tobias P.
Snijder, Joost
Geerlof, Arie
Fuchs, Helmut
Date Issued
May 2018
Journal
Nature Communications
Publisher
Springer Science and Business Media LLC
Citation
Sigmund, Felix et al. "Bacterial encapsulins as orthogonal compartments for mammalian cell engineering." Nature Communications 9 (May 2018): 1990 © 2018 The Author(s)
Version
Final published version
Abstract
We genetically controlled compartmentalization in eukaryotic cells by heterologous expression of bacterial encapsulin shell and cargo proteins to engineer enclosed enzymatic reactions and size-constrained metal biomineralization. The shell protein (EncA) from Myxococcus xanthus auto-assembles into nanocompartments inside mammalian cells to which sets of native (EncB,C,D) and engineered cargo proteins self-target enabling localized bimolecular fluorescence and enzyme complementation. Encapsulation of the enzyme tyrosinase leads to the confinement of toxic melanin production for robust detection via multispectral optoacoustic tomography (MSOT). Co-expression of ferritin-like native cargo (EncB,C) results in efficient iron sequestration producing substantial contrast by magnetic resonance imaging (MRI) and allowing for magnetic cell sorting. The monodisperse, spherical, and iron-loading nanoshells are also excellent genetically encoded reporters for electron microscopy (EM). In general, eukaryotically expressed encapsulins enable cellular engineering of spatially confined multicomponent processes with versatile applications in multiscale molecular imaging, as well as intriguing implications for metabolic engineering and cellular therapy.
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Massachusetts Institute of Technology. Department of Nuclear Science and Engineering
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Creative Commons Attribution 4.0 International license
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DOI of Published Version
https://doi.org/10.1038/S41467-018-04227-3
