dc.contributor.author
de Jong-Bolm, Daniëlle
dc.contributor.author
Sadeghi, Mohsen
dc.contributor.author
Bogaciu, Cristian A.
dc.contributor.author
Bao, Guobin
dc.contributor.author
Klaehn, Gabriele
dc.contributor.author
Hoff, Merle
dc.contributor.author
Mittelmeier, Lucas
dc.contributor.author
Basmanav, F. Buket
dc.contributor.author
Opazo, Felipe
dc.contributor.author
Noé, Frank
dc.date.accessioned
2024-02-07T13:51:31Z
dc.date.available
2024-02-07T13:51:31Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/42357
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-42082
dc.description.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.
en
dc.format.extent
27 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
Transfection
en
dc.subject
Fluorescence imaging
en
dc.subject
Neural networks
en
dc.subject.ddc
500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; Biologie
dc.title
Protein nanobarcodes enable single-step multiplexed fluorescence imaging
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
e3002427
dcterms.bibliographicCitation.doi
10.1371/journal.pbio.3002427
dcterms.bibliographicCitation.journaltitle
PLoS Biology
dcterms.bibliographicCitation.number
12
dcterms.bibliographicCitation.volume
21
dcterms.bibliographicCitation.url
https://doi.org/10.1371/journal.pbio.3002427
refubium.affiliation
Mathematik und Informatik
refubium.affiliation.other
Institut für Mathematik
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
1545-7885
refubium.resourceType.provider
WoS-Alert