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Visual barcodes for clonal-multiplexing of live microscopy-based assays
While multiplexing samples using DNA barcoding revolutionized the pace of biomedical discovery, multiplexing of live imaging-based applications has been limited by the number of fluorescent proteins that can be deconvoluted using common microscopy equipment. To address this limitation, we develop vi...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9117331/ https://www.ncbi.nlm.nih.gov/pubmed/35585055 http://dx.doi.org/10.1038/s41467-022-30008-0 |
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author | Kaufman, Tom Nitzan, Erez Firestein, Nir Ginzberg, Miriam Bracha Iyengar, Seshu Patel, Nish Ben-Hamo, Rotem Porat, Ziv Hunter, Jaryd Hilfinger, Andreas Rotter, Varda Kafri, Ran Straussman, Ravid |
author_facet | Kaufman, Tom Nitzan, Erez Firestein, Nir Ginzberg, Miriam Bracha Iyengar, Seshu Patel, Nish Ben-Hamo, Rotem Porat, Ziv Hunter, Jaryd Hilfinger, Andreas Rotter, Varda Kafri, Ran Straussman, Ravid |
author_sort | Kaufman, Tom |
collection | PubMed |
description | While multiplexing samples using DNA barcoding revolutionized the pace of biomedical discovery, multiplexing of live imaging-based applications has been limited by the number of fluorescent proteins that can be deconvoluted using common microscopy equipment. To address this limitation, we develop visual barcodes that discriminate the clonal identity of single cells by different fluorescent proteins that are targeted to specific subcellular locations. We demonstrate that deconvolution of these barcodes is highly accurate and robust to many cellular perturbations. We then use visual barcodes to generate ‘Signalome’ cell-lines by mixing 12 clones of different live reporters into a single population, allowing simultaneous monitoring of the activity in 12 branches of signaling, at clonal resolution, over time. Using the ‘Signalome’ we identify two distinct clusters of signaling pathways that balance growth and proliferation, emphasizing the importance of growth homeostasis as a central organizing principle in cancer signaling. The ability to multiplex samples in live imaging applications, both in vitro and in vivo may allow better high-content characterization of complex biological systems. |
format | Online Article Text |
id | pubmed-9117331 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-91173312022-05-20 Visual barcodes for clonal-multiplexing of live microscopy-based assays Kaufman, Tom Nitzan, Erez Firestein, Nir Ginzberg, Miriam Bracha Iyengar, Seshu Patel, Nish Ben-Hamo, Rotem Porat, Ziv Hunter, Jaryd Hilfinger, Andreas Rotter, Varda Kafri, Ran Straussman, Ravid Nat Commun Article While multiplexing samples using DNA barcoding revolutionized the pace of biomedical discovery, multiplexing of live imaging-based applications has been limited by the number of fluorescent proteins that can be deconvoluted using common microscopy equipment. To address this limitation, we develop visual barcodes that discriminate the clonal identity of single cells by different fluorescent proteins that are targeted to specific subcellular locations. We demonstrate that deconvolution of these barcodes is highly accurate and robust to many cellular perturbations. We then use visual barcodes to generate ‘Signalome’ cell-lines by mixing 12 clones of different live reporters into a single population, allowing simultaneous monitoring of the activity in 12 branches of signaling, at clonal resolution, over time. Using the ‘Signalome’ we identify two distinct clusters of signaling pathways that balance growth and proliferation, emphasizing the importance of growth homeostasis as a central organizing principle in cancer signaling. The ability to multiplex samples in live imaging applications, both in vitro and in vivo may allow better high-content characterization of complex biological systems. Nature Publishing Group UK 2022-05-18 /pmc/articles/PMC9117331/ /pubmed/35585055 http://dx.doi.org/10.1038/s41467-022-30008-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Kaufman, Tom Nitzan, Erez Firestein, Nir Ginzberg, Miriam Bracha Iyengar, Seshu Patel, Nish Ben-Hamo, Rotem Porat, Ziv Hunter, Jaryd Hilfinger, Andreas Rotter, Varda Kafri, Ran Straussman, Ravid Visual barcodes for clonal-multiplexing of live microscopy-based assays |
title | Visual barcodes for clonal-multiplexing of live microscopy-based assays |
title_full | Visual barcodes for clonal-multiplexing of live microscopy-based assays |
title_fullStr | Visual barcodes for clonal-multiplexing of live microscopy-based assays |
title_full_unstemmed | Visual barcodes for clonal-multiplexing of live microscopy-based assays |
title_short | Visual barcodes for clonal-multiplexing of live microscopy-based assays |
title_sort | visual barcodes for clonal-multiplexing of live microscopy-based assays |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9117331/ https://www.ncbi.nlm.nih.gov/pubmed/35585055 http://dx.doi.org/10.1038/s41467-022-30008-0 |
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