Protein nanobarcodes enable single-step multiplexed fluorescence imaging

PLoS Biol. 2023 Dec 11;21(12):e3002427. doi: 10.1371/journal.pbio.3002427. eCollection 2023 Dec.

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.

MeSH terms

  • Antibodies
  • DNA
  • Optical Imaging
  • Protein Isoforms
  • Single-Domain Antibodies*

Substances

  • Single-Domain Antibodies
  • DNA
  • Antibodies
  • Protein Isoforms

Grants and funding

European’s Union Horizon 2020 Horizon research and innovation program under grant agreement No 964016 (FET-OPEN Call 2020, IMAGEOMICS project). https://cordis.europa.eu/project/id/964016 M.S. and F.N. received financial support from Deutsche Forschungsgemeinschaft (DFG) through grants CRC 958/Project A04 (https://www.sfb958.de/de/index.html) and CRC 1114 (http://www.mi.fu-berlin.de/en/sfb1114/). F.N. was additionally supported by European Research Commission grant ERC CoG 772230 (https://cordis.europa.eu/project/id/772230), Bundesministerium für Bildung und Forschung (BMBF) grant 031L0195 "AutoXRayCell" (https://www.bmbf.de/bmbf/de/home/home_node.html), The Berlin Mathematics Center MATH+, projects AA1-6, AA1-10 (https://mathplus.de/) and the Berlin Institute for Foundations in Learning and Data (BIFOLD, https://bifold.berlin/de/). F.B.B. was supported by the Deutsche Forschungsgemeinschaft (DFG) through Cluster of Excellence Nanoscale Microscopy and Molecular Physiology of the Brain (CNMPB, http://www.cnmpb.de/) and by the Campus Laboratory for Advanced Imaging, Microscopy and Spectroscopy (AIMS, https://www.uni-goettingen.de/de/532762.html). Additional support comes from the DFG under Germany’s Excellence Strategy (EXC 2067/1- 390729940) and SFB1286 projects A03 and Z04 (https://www.sfb1286.de/). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.