Visual genetic typing of glioma using proximity‐anchored in situ spectral coding amplification

Author:

Chen Xiaolei1,Deng Ruijie2,Su Dongdong1,Ma Xiaochen1,Han Xu3,Wang Shizheng1,Xia Yuqing1,Yang Zifu1,Gong Ningqiang4,Jia Yanwei5,Gao Xueyun1,Ren Xiaojun1ORCID

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 USA

5. State‐Key Laboratory of Analog and Mixed‐Signal VLSI Institute of Microelectronics University of Macau Macau China

Abstract

AbstractGliomas 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.

Funder

National Basic Research Program of China

National Natural Science Foundation of China

Beijing Municipal Natural Science Foundation

Publisher

Wiley

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