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Turbo FISH: A Method for Rapid Single Molecule RNA FISH

Overview of attention for article published in PLOS ONE, September 2013
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Title
Turbo FISH: A Method for Rapid Single Molecule RNA FISH
Published in
PLOS ONE, September 2013
DOI 10.1371/journal.pone.0075120
Pubmed ID
Authors

Sydney M. Shaffer, Min-Tzu Wu, Marshall J. Levesque, Arjun Raj

Abstract

Advances in RNA fluorescence in situ hybridization (RNA FISH) have allowed practitioners to detect individual RNA molecules in single cells via fluorescence microscopy, enabling highly accurate and sensitive quantification of gene expression. However, current methods typically employ hybridization times on the order of 2-16 hours, limiting its potential in applications like rapid diagnostics. We present here a set of conditions for RNA FISH (dubbed Turbo RNA FISH) that allow us to make accurate measurements with no more than 5 minutes of hybridization time and 3 minutes of washing, and show that hybridization times can go as low as 30 seconds while still producing quantifiable images. We further show that rapid hybridization is compatible with our recently developed iceFISH and SNP FISH variants of RNA FISH that enable chromosome and single base discrimination, respectively. Our method is simple and cost effective, and has the potential to dramatically increase the throughput and realm of applicability of RNA FISH.

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Mendeley readers

The data shown below were compiled from readership statistics for 297 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 3%
United Kingdom 3 1%
Netherlands 1 <1%
France 1 <1%
Brazil 1 <1%
Sweden 1 <1%
Israel 1 <1%
Switzerland 1 <1%
Austria 1 <1%
Other 3 1%
Unknown 276 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 82 28%
Researcher 75 25%
Student > Master 35 12%
Student > Bachelor 26 9%
Other 15 5%
Other 33 11%
Unknown 31 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 121 41%
Biochemistry, Genetics and Molecular Biology 75 25%
Engineering 16 5%
Neuroscience 12 4%
Chemistry 9 3%
Other 29 10%
Unknown 35 12%