Protein nanobarcodes enable single-step multiplexed fluorescence imaging

2023 | journal article. A publication with affiliation to the University of Göttingen.

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​Protein nanobarcodes enable single-step multiplexed fluorescence imaging​
de Jong-Bolm, D.; Sadeghi, M.; Bogaciu, C. A.; Bao, G.; Klaehn, G.; Hoff, M. & Mittelmeier, L. et al.​ (2023) 
PLOS Biology21(12) art. e3002427​.​ DOI: https://doi.org/10.1371/journal.pbio.3002427 

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Authors
de Jong-Bolm, Daniëlle; Sadeghi, Mohsen; Bogaciu, Cristian A.; Bao, Guobin; Klaehn, Gabriele; Hoff, Merle; Mittelmeier, Lucas; Basmanav, F. Buket; Opazo, Felipe; Noé, Frank
Abstract
Multiplexed cellular imaging typically relies on the sequential application of detection probes, as antibodies or DNA barcodes, which is complex and time-consuming. To address this, we developed here protein nanobarcodes, composed of combinations of epitopes recognized by specific sets of nanobodies. The nanobarcodes are read in a single imaging step, relying on nanobodies conjugated to distinct fluorophores, which enables a precise analysis of large numbers of protein combinations. Fluorescence images from nanobarcodes were used as input images for a deep neural network, which was able to identify proteins with high precision. We thus present an efficient and straightforward protein identification method, which is applicable to relatively complex biological assays. We demonstrate this by a multicell competition assay, in which we successfully used our nanobarcoded proteins together with neurexin and neuroligin isoforms, thereby testing the preferred binding combinations of multiple isoforms, in parallel.
Issue Date
2023
Journal
PLOS Biology 
Project
EXC 2067: Multiscale Bioimaging 
Working Group
RG Rizzoli (Quantitative Synaptology in Space and Time) 
eISSN
1545-7885
Language
English
Sponsor
European’s Union Horizon 2020 Horizon research and innovation program
Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
European Research Commission
Bundesministerium für Bildung und Forschung http://dx.doi.org/10.13039/501100002347
Berlin Institute for Foundations in Learning and Data
Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
Campus Labaratory for Advanced Imaging, Microscopy and Spectroscopy
Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659

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