Exploration · 2023 · 12 citations · 26 references
MedicineGeneticsOncologyCancer GeneticsMolecular OncologyTumor HeterogeneityCancer GenomicsCancer Molecular DiagnosticsGenetic HeterogeneityMolecular Tumor ProfilingNeuro-oncologic ImagingTumor ImagingCancer Genomics DiagnosticsCancer ImagingCopy Number ChangesGenomic Amplification DetectionGlioma GradingMultiplexed ImagingMultiplexed Rna ImagingSpatial Cellular Heterogeneity
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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The Somatic Genomic Landscape of Glioblastoma
Cameron Brennan, Roel G.W. Verhaak, Aaron McKenna et al. · Cell · 2013 · 5.2K citations · Full text
Spatially resolved, highly multiplexed RNA profiling in single cells
Kok Hao Chen, Alistair N. Boettiger, Jeffrey R. Moffitt et al. · Science · 2015 · 3.1K citations · Full text
IDH1 mutation is sufficient to establish the glioma hypermethylator phenotype
Şevin Turcan, Daniel Rohle, Anuj Goenka et al. · Nature · 2012 · 2K citations · Full text
Medicine, Cancer Biology, Oncology +14