Date of Award
2022
Degree Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Graduate Group
Bioengineering
First Advisor
Arjun Raj
Abstract
RNA labeling in situ has enormous potential to visualize transcripts and quantify their levels in single cells, but it remains challenging to produce high levels of signal while also enabling multiplexed detection of multiple RNA species simultaneously. Here, we describe clampFISH 2.0, a method that uses an inverted padlock design to efficiently detect and exponentially amplify signals from many RNA species at once, while also reducing time and cost compared to the prior clampFISH method. We leverage the increased throughput afforded by multiplexed signal amplification and sequential detection by demonstrating the ability to detect 10 different RNA species in over 1 million cells. We also show that clampFISH 2.0 works in tissue sections. We expect the advantages offered by clampFISH 2.0 will enable many applications in spatial transcriptomics.
Recommended Citation
Dardani, Ian, "Rapid, Scalable, Amplified Rna Detection In Situ With Clampfish 2.0" (2022). Publicly Accessible Penn Dissertations. 5397.
https://repository.upenn.edu/edissertations/5397