| Literature DB >> 35585055 |
Tom Kaufman1, Erez Nitzan1, Nir Firestein1, Miriam Bracha Ginzberg2, Seshu Iyengar3, Nish Patel2, Rotem Ben-Hamo1, Ziv Porat4, Jaryd Hunter2,5, Andreas Hilfinger3, Varda Rotter1, Ran Kafri6,7, Ravid Straussman8.
Abstract
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.Entities:
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Year: 2022 PMID: 35585055 PMCID: PMC9117331 DOI: 10.1038/s41467-022-30008-0
Source DB: PubMed Journal: Nat Commun ISSN: 2041-1723 Impact factor: 17.694