NanoPlex: a universal strategy for fluorescence microscopy multiplexing using nanobodies with erasable signals
Fluorescence microscopy has long been a transformative technique in biological sciences. Nevertheless, most implementations are limited to a few targets, which have been revealed using primary antibodies and fluorescently conjugated secondary antibodies. Super-resolution techniques such as Exchange-PAINT and, more recently, SUM-PAINT have increased multiplexing capabilities, but they require specialized equipment, software, and knowledge. To enable multiplexing for any imaging technique in any laboratory, we developed NanoPlex, a streamlined method based on conventional antibodies revealed by engineered secondary nanobodies that allow the selective removal of fluorescence signals. We develop three complementary signal removal strategies: OptoPlex (light-induced), EnzyPlex (enzymatic), and ChemiPlex (chemical). We showcase NanoPlex reaching 21 targets for 3D confocal analyses and 5-8 targets for dSTORM and STED super-resolution imaging. NanoPlex has the potential to revolutionize multi-target fluorescent imaging methods, potentially redefining the multiplexing capabilities of antibody-based assays.
Authors
- Nadja A. Simeth (ORCID: https://orcid.org/0000-0001-8130-883X)
- Elena R. Cotroneo (ORCID: https://orcid.org/0000-0003-0388-8626)
- Silvio O. Rizzoli (ORCID: https://orcid.org/0000-0002-1667-7839)
- Roman Tsukanov (ORCID: https://orcid.org/0000-0002-3967-1755)
- Nikolaos Mougios
- Felipe Opazo (ORCID: https://orcid.org/0000-0002-4968-9713)
- Nils Imse
- Jonas Setzke
Institutions
- Universitätsmedizin Göttingen (DE)
- Nanoscale Microscopy and Molecular Physiology of the Brain Cluster of Excellence 171 — DFG Research Center 103 (DE)
- Verbundzentrale des GBV (DE)
- University of Göttingen (DE)
Publication Details
- Journal
- Nature Communications
- Published
- 2024-10-09
- DOI
- https://doi.org/10.1038/s41467-024-53030-w
- Citations
- 17
- Primary Topic
- Monoclonal and Polyclonal Antibodies Research
- Type
- article
- Field-Weighted Citation Impact
- 6.87
Funders
- Deutsche Forschungsgemeinschaft