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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 overlap between 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 mRNA levels of 32 genes simultaneously in single Saccharomyces cerevisiae cells. These experiments demonstrate that combinatorial labeling and super-resolution imaging of single cells is a natural approach to bring systems biology into single cells.
Microscopy, 570, Gene Expression Profiling, Systems Biology, Gene Expression, Saccharomyces cerevisiae, Article, Microscopy, Fluorescence, Image Processing, Computer-Assisted, Single Molecule, RNA, Messenger, Single-Cell Analysis, In Situ Hybridization, Fluorescence, Fluorescent Dyes
Microscopy, 570, Gene Expression Profiling, Systems Biology, Gene Expression, Saccharomyces cerevisiae, Article, Microscopy, Fluorescence, Image Processing, Computer-Assisted, Single Molecule, RNA, Messenger, Single-Cell Analysis, In Situ Hybridization, Fluorescence, Fluorescent Dyes
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 413 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 0.1% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |