Third-generation in situ hybridization chain reaction: multiplexed, quantitative, sensitive, versatile, robust

Author:

Choi Harry M. T.1ORCID,Schwarzkopf Maayan1,Fornace Mark E.2,Acharya Aneesh1,Artavanis Georgios1,Stegmaier Johannes345ORCID,Cunha Alexandre36,Pierce Niles A.178ORCID

Affiliation:

1. Division of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA

2. Division of Chemistry & Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA

3. Center for Advanced Methods in Biological Image Analysis, Beckman Institute, California Institute of Technology, Pasadena, CA 91125, USA

4. Institute for Automation & Applied Informatics, Karlsruhe Institute of Technology, Karlsruhe 76344, Germany

5. Institute of Imaging & Computer Vision, RWTH Aachen University, Aachen 52074, Germany

6. Center for Data-Driven Discovery, California Institute of Technology, Pasadena, CA 91125, USA

7. Division of Engineering & Applied Science, California Institute of Technology, Pasadena, CA 91125, USA

8. Weatherall Institute of Molecular Medicine, University of Oxford, Oxford OX3 9DS, UK

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.

Funder

Defense Advanced Research Projects Agency

Gordon and Betty Moore Foundation

National Science Foundation

National Institutes of Health

National Institute of Biomedical Imaging and Bioengineering

National Research Service Award

Deutsche Forschungsgemeinschaft

Balliol College

University of Oxford

Publisher

The Company of Biologists

Subject

Developmental Biology,Molecular Biology

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