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Single cell systems biology by super-resolution imaging and combinatorial labeling

Fluorescence microscopy is a powerful quantitative tool for exploring regulatory networks in single cells. However, the number of molecular species that can be measured simultaneously is limited by the spectral separability of fluorophores. Here we demonstrate a simple but general strategy to drasti...

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Detalles Bibliográficos
Autores principales: Lubeck, Eric, Cai, Long
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3418883/
https://www.ncbi.nlm.nih.gov/pubmed/22660740
http://dx.doi.org/10.1038/nmeth.2069
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author Lubeck, Eric
Cai, Long
author_facet Lubeck, Eric
Cai, Long
author_sort Lubeck, Eric
collection PubMed
description Fluorescence microscopy is a powerful quantitative tool for exploring regulatory networks in single cells. However, the number of molecular species that can be measured simultaneously is limited by the spectral separability of fluorophores. Here we demonstrate a simple but general strategy to drastically increase the capacity for multiplex detection of molecules in single cells by using optical super-resolution microscopy (SRM) and combinatorial labeling. As a proof of principle, we labeled mRNAs with unique combinations of fluorophores using Fluorescence in situ Hybridization (FISH), and resolved the sequences and combinations of fluorophores with SRM. We measured the mRNA levels of 32 genes simultaneously in single S. cerevisiae cells. These experiments demonstrate that combinatorial labeling and super-resolution imaging of single cells provides a natural approach to bring systems biology into single cells.
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spelling pubmed-34188832013-01-01 Single cell systems biology by super-resolution imaging and combinatorial labeling Lubeck, Eric Cai, Long Nat Methods Article Fluorescence microscopy is a powerful quantitative tool for exploring regulatory networks in single cells. However, the number of molecular species that can be measured simultaneously is limited by the spectral separability of fluorophores. Here we demonstrate a simple but general strategy to drastically increase the capacity for multiplex detection of molecules in single cells by using optical super-resolution microscopy (SRM) and combinatorial labeling. As a proof of principle, we labeled mRNAs with unique combinations of fluorophores using Fluorescence in situ Hybridization (FISH), and resolved the sequences and combinations of fluorophores with SRM. We measured the mRNA levels of 32 genes simultaneously in single S. cerevisiae cells. These experiments demonstrate that combinatorial labeling and super-resolution imaging of single cells provides a natural approach to bring systems biology into single cells. 2012-06-03 /pmc/articles/PMC3418883/ /pubmed/22660740 http://dx.doi.org/10.1038/nmeth.2069 Text en Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Lubeck, Eric
Cai, Long
Single cell systems biology by super-resolution imaging and combinatorial labeling
title Single cell systems biology by super-resolution imaging and combinatorial labeling
title_full Single cell systems biology by super-resolution imaging and combinatorial labeling
title_fullStr Single cell systems biology by super-resolution imaging and combinatorial labeling
title_full_unstemmed Single cell systems biology by super-resolution imaging and combinatorial labeling
title_short Single cell systems biology by super-resolution imaging and combinatorial labeling
title_sort single cell systems biology by super-resolution imaging and combinatorial labeling
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3418883/
https://www.ncbi.nlm.nih.gov/pubmed/22660740
http://dx.doi.org/10.1038/nmeth.2069
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