Whole-Brain Three-Dimensional Imaging of RNAs at Single-Cell Resolution

Kanatani, S.; Kreutzmann, J. C.; Li, Y.; West, Z.; Vougesi Nikou, D.; Lercke Skytte, J.; Lydolph Larsen, L.; Tanaka, D. H.; Kaczynska, D.; Fukumoto, K.; Uesaka, N.; Tanabe, T.; Miyakawa, A.; Roostalu, U.; Hecksher-Sorensen, J.; Uhlen, P.

doi:10.1101/2022.12.28.521740

bioRxiv · 10.1101/2022.12.28.521740

Whole-Brain Three-Dimensional Imaging of RNAs at Single-Cell Resolution

Kanatani, S.·Kreutzmann, J. C.·Li, Y.·West, Z.·Vougesi Nikou, D.·Lercke Skytte, J.·Lydolph Larsen, L.·Tanaka, D. H.·Kaczynska, D.·Fukumoto, K.·Uesaka, N.·Tanabe, T.·Miyakawa, A.·Roostalu, U.·Hecksher-Sorensen, J.·Uhlen, P.

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Abstract

Whole-brain three-dimensional (3D) imaging is desirable to obtain a comprehensive and unbiased view of architecture and neural circuitry. However, current spatial analytic methods for brain RNAs are limited to thin sections or small samples. Here, we combined multiple new techniques to develop TRIC-DISCO, a new pipeline that allows imaging of RNA spatial distributions in whole adult mouse brains. First, we developed Tris-mediated retention of in situ hybridization signal during clearing (TRIC), which produces highly transparent tissue while maintaining the RNA signal intensities. We then combined TRIC with DISCO clearing (TRIC-DISCO) by controlling temperature during the in situ hybridization chain reaction (isHCR) to ensure uniform whole-brain staining. This pipeline eliminates the requirements for both strict RNase-free environments and workflow-compatible RNase inhibitors. Our TRIC-DISCO pipeline enables simple and robust, single-cell, whole-brain, 3D imaging of transcriptional signatures, cell-identity markers, and noncoding RNAs across the entire brain.

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Kanatani, S., Kreutzmann, J. C., Li, Y., West, Z., Vougesi Nikou, D., Lercke Skytte, J., Lydolph Larsen, L., Tanaka, D. H., Kaczynska, D., Fukumoto, K., Uesaka, N., Tanabe, T., Miyakawa, A., Roostalu, U., Hecksher-Sorensen, J., Uhlen, P.. 2022-12-29. Whole-Brain Three-Dimensional Imaging of RNAs at Single-Cell Resolution. https://doi.org/10.1101/2022.12.28.521740

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