henhao
Sign in
Developmental BiologyDevelopment
Peer-reviewed journal article

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

Harry M. T. ChoiiD, Maayan SchwarzkopfiD, Mark E. FornaceiD, Aneesh AcharyaiD, Georgios Artavanis, Johannes StegmaieriD, Alexandre CunhaiD, Niles A. PierceiD

PDFDOIPreprint

Abstract

In situ hybridization based on the mechanism of hybridization chain reaction (HCR) has addressed multi-decade challenges to imaging 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 even if reagents bind non-specifically within the sample they will not generate amplified background. Automatic background suppression dramatically enhances performance and robustness, combining the benefits of higher signal-to-background with the convenience of using unoptimized probe sets for new targets and organisms. In situ HCR v3.0 enables multiplexed quantitative mRNA imaging with subcellular resolution in the anatomical context of whole-mount vertebrate embryos, multiplexed quantitative mRNA flow cytometry for high-throughput single-cell expression profiling, and multiplexed quantitative single-molecule mRNA imaging in thick autofluorescent samples.\n\nSUMMARYIn situ hybridization chain reaction (HCR) v3.0 exploits automatic background suppression to enable multiplexed quantitative mRNA imaging and flow cytometry with dramatically enhanced ease-of-use and performance.

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISSchwarzkopf '21Singh '25Trivedi '18Schulte '24Wu '21Elagoz '22
72% semantic matchDevelopmental Biology
Maayan Schwarzkopf, Mike C. Liu, Samuel J. Schulte+4 more·Development·Nov 15, 2021· 118 citations