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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...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2023
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.
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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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