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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 PublicationExploration
ISSN2766-8509
Volume3Issue: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.

KeywordGenetic Typing Glioma In Situ imagIng Multiplexed Detection Rna Mutation
DOI10.1002/EXP.20220175
URLView the original
Language英語English
Scopus ID2-s2.0-85177793727
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Document TypeJournal article
CollectionINSTITUTE OF MICROELECTRONICS
THE STATE KEY LABORATORY OF ANALOG AND MIXED-SIGNAL VLSI (UNIVERSITY OF MACAU)
Corresponding AuthorSu, Dongdong; Gao, Xueyun; Ren, Xiaojun
Affiliation1.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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