Visual genetic typing of glioma using proximity‐anchored in situ spectral coding amplification Article Swipe
Xiaolei Chen
,
Ruijie Deng
,
Dongdong Su
,
Xiaochen Ma
,
Xu Han
,
Shizheng Wang
,
Yuqing Xia
,
Zifu Yang
,
Ningqiang Gong
,
Yanwei Jia
,
Xueyun Gao
,
Xiaojun Ren
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1002/exp.20220175
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1002/exp.20220175
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.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/exp.20220175
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/EXP.20220175
- OA Status
- gold
- Cited By
- 10
- References
- 41
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4383369710
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4383369710Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/exp.20220175Digital Object Identifier
- Title
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Visual genetic typing of glioma using proximity‐anchored in situ spectral coding amplificationWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
-
2023-07-06Full publication date if available
- Authors
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Xiaolei Chen, Ruijie Deng, Dongdong Su, Xiaochen Ma, Xu Han, Shizheng Wang, Yuqing Xia, Zifu Yang, Ningqiang Gong, Yanwei Jia, Xueyun Gao, Xiaojun RenList of authors in order
- Landing page
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https://doi.org/10.1002/exp.20220175Publisher landing page
- PDF URL
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/EXP.20220175Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
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-
goldOpen access status per OpenAlex
- OA URL
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/EXP.20220175Direct OA link when available
- Concepts
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Amplicon, Glioma, RNA, Typing, Biology, Computational biology, Genetics, Gene, Polymerase chain reactionTop concepts (fields/topics) attached by OpenAlex
- Cited by
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10Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3, 2024: 7Per-year citation counts (last 5 years)
- References (count)
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41Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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