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Rapid and signal crowdedness-robust in situ sequencing through hybrid block coding
Spatial transcriptomics technology has revolutionized our understanding of cell types and tissue organization, opening possibilities for researchers to explore transcript distributions at subcellular levels. However, existing methods have limitations in resolution, sensitivity, or speed. To overcome...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10666108/ https://www.ncbi.nlm.nih.gov/pubmed/37963245 http://dx.doi.org/10.1073/pnas.2309227120 |
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author | Chang, Tianyi Han, Wuji Jiang, Mengcheng Li, Jizhou Liao, Zhizhao Tang, Mingchuan Zhang, Jianyun Shen, Jie Chen, Zitian Fei, Peng Ren, Xianwen Pang, Yuhong Wang, Guanbo Wang, Jianbin Huang, Yanyi |
author_facet | Chang, Tianyi Han, Wuji Jiang, Mengcheng Li, Jizhou Liao, Zhizhao Tang, Mingchuan Zhang, Jianyun Shen, Jie Chen, Zitian Fei, Peng Ren, Xianwen Pang, Yuhong Wang, Guanbo Wang, Jianbin Huang, Yanyi |
author_sort | Chang, Tianyi |
collection | PubMed |
description | Spatial transcriptomics technology has revolutionized our understanding of cell types and tissue organization, opening possibilities for researchers to explore transcript distributions at subcellular levels. However, existing methods have limitations in resolution, sensitivity, or speed. To overcome these challenges, we introduce SPRINTseq (Spatially Resolved and signal-diluted Next-generation Targeted sequencing), an innovative in situ sequencing strategy that combines hybrid block coding and molecular dilution strategies. Our method enables fast and sensitive high-resolution data acquisition, as demonstrated by recovering over 142 million transcripts using a 108-gene panel from 453,843 cells from four mouse brain coronal slices in less than 2 d. Using this advanced technology, we uncover the cellular and subcellular molecular architecture of Alzheimer's disease, providing additional information into abnormal cellular behaviors and their subcellular mRNA distribution. This improved spatial transcriptomics technology holds great promise for exploring complex biological processes and disease mechanisms. |
format | Online Article Text |
id | pubmed-10666108 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-106661082023-11-14 Rapid and signal crowdedness-robust in situ sequencing through hybrid block coding Chang, Tianyi Han, Wuji Jiang, Mengcheng Li, Jizhou Liao, Zhizhao Tang, Mingchuan Zhang, Jianyun Shen, Jie Chen, Zitian Fei, Peng Ren, Xianwen Pang, Yuhong Wang, Guanbo Wang, Jianbin Huang, Yanyi Proc Natl Acad Sci U S A Biological Sciences Spatial transcriptomics technology has revolutionized our understanding of cell types and tissue organization, opening possibilities for researchers to explore transcript distributions at subcellular levels. However, existing methods have limitations in resolution, sensitivity, or speed. To overcome these challenges, we introduce SPRINTseq (Spatially Resolved and signal-diluted Next-generation Targeted sequencing), an innovative in situ sequencing strategy that combines hybrid block coding and molecular dilution strategies. Our method enables fast and sensitive high-resolution data acquisition, as demonstrated by recovering over 142 million transcripts using a 108-gene panel from 453,843 cells from four mouse brain coronal slices in less than 2 d. Using this advanced technology, we uncover the cellular and subcellular molecular architecture of Alzheimer's disease, providing additional information into abnormal cellular behaviors and their subcellular mRNA distribution. This improved spatial transcriptomics technology holds great promise for exploring complex biological processes and disease mechanisms. National Academy of Sciences 2023-11-14 2023-11-21 /pmc/articles/PMC10666108/ /pubmed/37963245 http://dx.doi.org/10.1073/pnas.2309227120 Text en Copyright © 2023 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Biological Sciences Chang, Tianyi Han, Wuji Jiang, Mengcheng Li, Jizhou Liao, Zhizhao Tang, Mingchuan Zhang, Jianyun Shen, Jie Chen, Zitian Fei, Peng Ren, Xianwen Pang, Yuhong Wang, Guanbo Wang, Jianbin Huang, Yanyi Rapid and signal crowdedness-robust in situ sequencing through hybrid block coding |
title | Rapid and signal crowdedness-robust in situ sequencing through hybrid block coding |
title_full | Rapid and signal crowdedness-robust in situ sequencing through hybrid block coding |
title_fullStr | Rapid and signal crowdedness-robust in situ sequencing through hybrid block coding |
title_full_unstemmed | Rapid and signal crowdedness-robust in situ sequencing through hybrid block coding |
title_short | Rapid and signal crowdedness-robust in situ sequencing through hybrid block coding |
title_sort | rapid and signal crowdedness-robust in situ sequencing through hybrid block coding |
topic | Biological Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10666108/ https://www.ncbi.nlm.nih.gov/pubmed/37963245 http://dx.doi.org/10.1073/pnas.2309227120 |
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