Whole-brain spatial transcriptional analysis at cellular resolution

Recent advances in RNA analysis have deepened our understanding of cellular states in biological tissues. However, a substantial gap remains in integrating RNA expression data with spatial context across organs, primarily owing to the challenges associated with RNA detection within intact tissue vol...

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Veröffentlicht in:Science (American Association for the Advancement of Science) 2024-11, Vol.386 (6724), p.907-915
Hauptverfasser: Kanatani, Shigeaki, Kreutzmann, Judith C, Li, Yue, West, Zoe, Larsen, Lea Lydolph, Nikou, Danai Vougesi, Eidhof, Ilse, Walton, Abigail, Zhang, Songbai, Rodríguez-Kirby, Leslie Rubio, Skytte, Jacob Lercke, Salinas, Casper Gravesen, Takamatsu, Kimiharu, Li, Xiaofei, Tanaka, Daisuke H, Kaczynska, Dagmara, Fukumoto, Keishiro, Karamzadeh, Razieh, Xiang, Yujiao, Uesaka, Naofumi, Tanabe, Tsutomu, Adner, Mikael, Hartman, Johan, Miyakawa, Ayako, Sundström, Erik, Castelo-Branco, Gonçalo, Roostalu, Urmas, Hecksher-Sørensen, Jacob, Uhlén, Per
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container_issue 6724
container_start_page 907
container_title Science (American Association for the Advancement of Science)
container_volume 386
creator Kanatani, Shigeaki
Kreutzmann, Judith C
Li, Yue
West, Zoe
Larsen, Lea Lydolph
Nikou, Danai Vougesi
Eidhof, Ilse
Walton, Abigail
Zhang, Songbai
Rodríguez-Kirby, Leslie Rubio
Skytte, Jacob Lercke
Salinas, Casper Gravesen
Takamatsu, Kimiharu
Li, Xiaofei
Tanaka, Daisuke H
Kaczynska, Dagmara
Fukumoto, Keishiro
Karamzadeh, Razieh
Xiang, Yujiao
Uesaka, Naofumi
Tanabe, Tsutomu
Adner, Mikael
Hartman, Johan
Miyakawa, Ayako
Sundström, Erik
Castelo-Branco, Gonçalo
Roostalu, Urmas
Hecksher-Sørensen, Jacob
Uhlén, Per
description Recent advances in RNA analysis have deepened our understanding of cellular states in biological tissues. However, a substantial gap remains in integrating RNA expression data with spatial context across organs, primarily owing to the challenges associated with RNA detection within intact tissue volumes. Here, we developed Tris buffer-mediated retention of in situ hybridization chain reaction signal in cleared organs (TRISCO), an effective tissue-clearing method designed for whole-brain spatial three-dimensional (3D) RNA imaging. TRISCO resolved several crucial issues, including the preservation of RNA integrity, achieving uniform RNA labeling, and enhancing tissue transparency. We tested TRISCO using a broad range of cell-identity markers, noncoding and activity-dependent RNAs, within diverse organs of varying sizes and species. TRISCO thus emerges as a powerful tool for single-cell, whole-brain, 3D imaging that enables comprehensive transcriptional spatial analysis across the entire brain.
doi_str_mv 10.1126/science.adn9947
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Science)</jtitle><addtitle>Science</addtitle><date>2024-11-22</date><risdate>2024</risdate><volume>386</volume><issue>6724</issue><spage>907</spage><epage>915</epage><pages>907-915</pages><issn>0036-8075</issn><issn>1095-9203</issn><eissn>1095-9203</eissn><abstract>Recent advances in RNA analysis have deepened our understanding of cellular states in biological tissues. However, a substantial gap remains in integrating RNA expression data with spatial context across organs, primarily owing to the challenges associated with RNA detection within intact tissue volumes. Here, we developed Tris buffer-mediated retention of in situ hybridization chain reaction signal in cleared organs (TRISCO), an effective tissue-clearing method designed for whole-brain spatial three-dimensional (3D) RNA imaging. TRISCO resolved several crucial issues, including the preservation of RNA integrity, achieving uniform RNA labeling, and enhancing tissue transparency. We tested TRISCO using a broad range of cell-identity markers, noncoding and activity-dependent RNAs, within diverse organs of varying sizes and species. TRISCO thus emerges as a powerful tool for single-cell, whole-brain, 3D imaging that enables comprehensive transcriptional spatial analysis across the entire brain.</abstract><cop>United States</cop><pub>The American Association for the Advancement of Science</pub><pmid>39571016</pmid><doi>10.1126/science.adn9947</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-3325-6606</orcidid><orcidid>https://orcid.org/0009-0007-1397-1585</orcidid><orcidid>https://orcid.org/0000-0003-1446-1062</orcidid><orcidid>https://orcid.org/0000-0003-0180-3449</orcidid><orcidid>https://orcid.org/0009-0009-1893-7962</orcidid><orcidid>https://orcid.org/0000-0003-0584-1119</orcidid><orcidid>https://orcid.org/0000-0003-2247-9393</orcidid><orcidid>https://orcid.org/0000-0003-0313-2124</orcidid><orcidid>https://orcid.org/0000-0002-1435-709X</orcidid><orcidid>https://orcid.org/0009-0008-1915-5658</orcidid><orcidid>https://orcid.org/0000-0003-3485-8331</orcidid><orcidid>https://orcid.org/0000-0003-3000-9105</orcidid><orcidid>https://orcid.org/0000-0002-9744-944X</orcidid><orcidid>https://orcid.org/0009-0003-3781-4972</orcidid><orcidid>https://orcid.org/0000-0002-5941-4000</orcidid><orcidid>https://orcid.org/0000-0003-1634-4759</orcidid><orcidid>https://orcid.org/0000-0002-7849-2055</orcidid><orcidid>https://orcid.org/0000-0003-2931-8015</orcidid><orcidid>https://orcid.org/0000-0002-1567-3078</orcidid><orcidid>https://orcid.org/0000-0002-6500-8527</orcidid><orcidid>https://orcid.org/0000-0002-9991-7534</orcidid><orcidid>https://orcid.org/0000-0002-5516-6177</orcidid><orcidid>https://orcid.org/0000-0003-2226-4288</orcidid><orcidid>https://orcid.org/0000-0003-4467-2661</orcidid><orcidid>https://orcid.org/0000-0002-1238-6444</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0036-8075
ispartof Science (American Association for the Advancement of Science), 2024-11, Vol.386 (6724), p.907-915
issn 0036-8075
1095-9203
1095-9203
language eng
recordid cdi_swepub_primary_oai_swepub_ki_se_893156
source MEDLINE; American Association for the Advancement of Science
subjects Animals
Brain
Brain - metabolism
Gene expression
Gene Expression Profiling - methods
Hybridization
Imaging, Three-Dimensional
Immediate-early proteins
In Situ Hybridization
Localization
Mice
Molecular Imaging - methods
RNA - genetics
RNA - metabolism
Single-Cell Analysis - methods
Spatial analysis
Three dimensional analysis
Transcription, Genetic
Transcriptomics
title Whole-brain spatial transcriptional analysis at cellular resolution
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