Jong-Bolm, Daniëlle de and Sadeghi, Mohsen and Bogaciu, Cristian A. and Bao, Guobin and Klaehn, Gabriele and Hoff, Merle and Mittelmeier, Lucas and Basmanav, F. Buket and Noé, Frank and Rizzoli, Silvio O. (2023) Protein nanobarcodes enable single-step multiplexed fluorescence imaging. PLOS BIOLOGY, 21 (12).
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Official URL: https://doi.org/10.1371/journal.pbio.3002427
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.
Item Type: | Article |
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Subjects: | Mathematical and Computer Sciences Mathematical and Computer Sciences > Mathematics Mathematical and Computer Sciences > Mathematics > Applied Mathematics |
Divisions: | Department of Mathematics and Computer Science > Institute of Mathematics |
ID Code: | 3056 |
Deposited By: | Jana Jerosch |
Deposited On: | 19 Jan 2024 10:30 |
Last Modified: | 02 Feb 2024 12:30 |
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