Residential College | false |
Status | 已發表Published |
Visual genetic typing of glioma using proximity-anchored in situ spectral coding amplification | |
Chen, Xiaolei1; Deng, Ruijie2; Su, Dongdong1; Ma, Xiaochen1; Han, Xu3; Wang, Shizheng1; Xia, Yuqing1; Yang, Zifu1; Gong, Ningqiang4; Jia, Yanwei5; Gao, Xueyun1; Ren, Xiaojun1 | |
2023-07-06 | |
Source Publication | Exploration |
ISSN | 2766-8509 |
Volume | 3Issue:5Pages:20220175 |
Abstract | Gliomas are histologically and genetically heterogeneous tumors. However, classical histopathological typing often ignores the high heterogeneity of tumors and thus cannot meet the requirements of precise pathological diagnosis. Here, proximity-anchored in situ spectral coding amplification (ProxISCA) is proposed for multiplexed imaging of RNA mutations, enabling visual typing of brain gliomas with different pathological grades at the single-cell and tissue levels. The ligation-based padlock probe can discriminate one-nucleotide variations, and the design of proximity primers enables the anchoring of amplicons on target RNA, thus improving localization accuracy. The DNA module-based spectral coding strategy can dramatically improve the multiplexing capacity for imaging RNA mutations through one-time labelling, with low cost and simple operation. One-target-one-amplicon amplification confers ProxISCA the ability to quantify RNA mutation copy number with single-molecule resolution. Based on this approach, it is found that gliomas with higher malignant grades express more genes with high correlation at the cellular and tissue levels and show greater cellular heterogeneity. ProxISCA provides a tool for glioma research and precise diagnosis, which can reveal the relationship between cellular heterogeneity and glioma occurrence or development and assist in pathological prognosis. |
Keyword | Genetic Typing Glioma In Situ imagIng Multiplexed Detection Rna Mutation |
DOI | 10.1002/EXP.20220175 |
URL | View the original |
Language | 英語English |
Scopus ID | 2-s2.0-85177793727 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | INSTITUTE OF MICROELECTRONICS THE STATE KEY LABORATORY OF ANALOG AND MIXED-SIGNAL VLSI (UNIVERSITY OF MACAU) |
Corresponding Author | Su, Dongdong; Gao, Xueyun; Ren, Xiaojun |
Affiliation | 1.Department of Chemistry and Biology, Faculty of Environment and Life Science, Beijing University of Technology, Beijing, China 2.College of Biomass Science and Engineering, Healthy Food Evaluation Research Center, Sichuan University, Chengdu, China 3.Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China 4.Department of Bioengineering, University of Pennsylvania, Philadelphia, United States 5.State-Key Laboratory of Analog and Mixed-Signal VLSI, Institute of Microelectronics, University of Macau, Macao |
Recommended Citation GB/T 7714 | Chen, Xiaolei,Deng, Ruijie,Su, Dongdong,et al. Visual genetic typing of glioma using proximity-anchored in situ spectral coding amplification[J]. Exploration, 2023, 3(5), 20220175. |
APA | Chen, Xiaolei., Deng, Ruijie., Su, Dongdong., Ma, Xiaochen., Han, Xu., Wang, Shizheng., Xia, Yuqing., Yang, Zifu., Gong, Ningqiang., Jia, Yanwei., Gao, Xueyun., & Ren, Xiaojun (2023). Visual genetic typing of glioma using proximity-anchored in situ spectral coding amplification. Exploration, 3(5), 20220175. |
MLA | Chen, Xiaolei,et al."Visual genetic typing of glioma using proximity-anchored in situ spectral coding amplification".Exploration 3.5(2023):20220175. |
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