Abstract

ABSTRACT In situ hybridization based on the mechanism of the hybridization chain reaction (HCR) has addressed multi-decade challenges that impeded imaging of mRNA expression in diverse organisms, offering a unique combination of multiplexing, quantitation, sensitivity, resolution and versatility. Here, with third-generation in situ HCR, we augment these capabilities using probes and amplifiers that combine to provide automatic background suppression throughout the protocol, ensuring that reagents will not generate amplified background even if they bind non-specifically within the sample. Automatic background suppression dramatically enhances performance and robustness, combining the benefits of a higher signal-to-background ratio with the convenience of using unoptimized probe sets for new targets and organisms. In situ HCR v3.0 enables three multiplexed quantitative analysis modes: (1) qHCR imaging – analog mRNA relative quantitation with subcellular resolution in the anatomical context of whole-mount vertebrate embryos; (2) qHCR flow cytometry – analog mRNA relative quantitation for high-throughput expression profiling of mammalian and bacterial cells; and (3) dHCR imaging – digital mRNA absolute quantitation via single-molecule imaging in thick autofluorescent samples.

Keywords

BiologyIn situIn situ hybridizationFlow cytometryMultiplexingChain reactionComputational biologyMolecular biologyCell biologyMessenger RNAGeneticsGeneComputer science

MeSH Terms

AnimalsChick EmbryoEscherichia coliFlow CytometryGene Expression ProfilingHumansImagingThree-DimensionalIn Situ HybridizationRNA ProbesRNAMessengerReproducibility of ResultsSubcellular Fractions

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Publication Info

Year
2018
Type
article
Volume
145
Issue
12
Citations
1440
Access
Closed

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Cite This

Harry M. T. Choi, Maayan Schwarzkopf, Mark E. Fornace et al. (2018). Third-generation <i>in situ</i> hybridization chain reaction: multiplexed, quantitative, sensitive, versatile, robust. Development , 145 (12) . https://doi.org/10.1242/dev.165753

Identifiers

DOI
10.1242/dev.165753
PMID
29945988
PMCID
PMC6031405

Data Quality

Data completeness: 90%