ClusterMap for multi-scale clustering analysis of spatial gene expression
In situ transcriptomics maps RNA expression patterns across intact tissues taking our understanding of gene expression to a new level. Here, the authors present a computational method that uncovers gene expression, cell niche, and tissue region patterns from 2D and 3D spatial transcriptomics.
| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2021-10-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-021-26044-x |
| _version_ | 1819202630077906944 |
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| author | Yichun He Xin Tang Jiahao Huang Jingyi Ren Haowen Zhou Kevin Chen Albert Liu Hailing Shi Zuwan Lin Qiang Li Abhishek Aditham Johain Ounadjela Emanuelle I. Grody Jian Shu Jia Liu Xiao Wang |
| author_facet | Yichun He Xin Tang Jiahao Huang Jingyi Ren Haowen Zhou Kevin Chen Albert Liu Hailing Shi Zuwan Lin Qiang Li Abhishek Aditham Johain Ounadjela Emanuelle I. Grody Jian Shu Jia Liu Xiao Wang |
| author_sort | Yichun He |
| collection | DOAJ |
| description | In situ transcriptomics maps RNA expression patterns across intact tissues taking our understanding of gene expression to a new level. Here, the authors present a computational method that uncovers gene expression, cell niche, and tissue region patterns from 2D and 3D spatial transcriptomics. |
| first_indexed | 2024-12-23T04:07:04Z |
| format | Article |
| id | doaj.art-ff58b316e7154332a514271fdae78380 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-12-23T04:07:04Z |
| publishDate | 2021-10-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-ff58b316e7154332a514271fdae783802022-12-21T18:00:36ZengNature PortfolioNature Communications2041-17232021-10-0112111310.1038/s41467-021-26044-xClusterMap for multi-scale clustering analysis of spatial gene expressionYichun He0Xin Tang1Jiahao Huang2Jingyi Ren3Haowen Zhou4Kevin Chen5Albert Liu6Hailing Shi7Zuwan Lin8Qiang Li9Abhishek Aditham10Johain Ounadjela11Emanuelle I. Grody12Jian Shu13Jia Liu14Xiao Wang15John A. Paulson School of Engineering and Applied Sciences, Harvard UniversityJohn A. Paulson School of Engineering and Applied Sciences, Harvard UniversityBroad Institute of MIT and HarvardBroad Institute of MIT and HarvardBroad Institute of MIT and HarvardDepartment of Chemistry and Chemical Biology, Harvard UniversityBroad Institute of MIT and HarvardBroad Institute of MIT and HarvardBroad Institute of MIT and HarvardJohn A. Paulson School of Engineering and Applied Sciences, Harvard UniversityBroad Institute of MIT and HarvardBroad Institute of MIT and HarvardBroad Institute of MIT and HarvardBroad Institute of MIT and HarvardJohn A. Paulson School of Engineering and Applied Sciences, Harvard UniversityBroad Institute of MIT and HarvardIn situ transcriptomics maps RNA expression patterns across intact tissues taking our understanding of gene expression to a new level. Here, the authors present a computational method that uncovers gene expression, cell niche, and tissue region patterns from 2D and 3D spatial transcriptomics.https://doi.org/10.1038/s41467-021-26044-x |
| spellingShingle | Yichun He Xin Tang Jiahao Huang Jingyi Ren Haowen Zhou Kevin Chen Albert Liu Hailing Shi Zuwan Lin Qiang Li Abhishek Aditham Johain Ounadjela Emanuelle I. Grody Jian Shu Jia Liu Xiao Wang ClusterMap for multi-scale clustering analysis of spatial gene expression Nature Communications |
| title | ClusterMap for multi-scale clustering analysis of spatial gene expression |
| title_full | ClusterMap for multi-scale clustering analysis of spatial gene expression |
| title_fullStr | ClusterMap for multi-scale clustering analysis of spatial gene expression |
| title_full_unstemmed | ClusterMap for multi-scale clustering analysis of spatial gene expression |
| title_short | ClusterMap for multi-scale clustering analysis of spatial gene expression |
| title_sort | clustermap for multi scale clustering analysis of spatial gene expression |
| url | https://doi.org/10.1038/s41467-021-26044-x |
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