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Published on: March 12, 2021
Spatial epitranscriptomics reveals A-to-I editome specific to cancer stem cell microniches
Amos C Lee1, Yongju Lee2, Ahyoun Choi3
1Bio-MAX Institute, Seoul National University, Seoul, 08826, Republic of Korea.
Spatial-histopathological examination-linked epitranscriptomics converged to transcriptomics with sequencing (Select-seq) reveals distinct epitranscriptomic landscapes within triple-negative breast cancer microniches, offering new insights into tumor microenvironment heterogeneity.
Area of Science:
- Oncology
- Molecular Biology
- Genomics
Background:
- Epitranscriptomic modifications, including RNA editing, contribute to transcript diversity in cancer.
- The spatial context of epitranscriptomics within the tumor microenvironment remains poorly understood.
- Triple-negative breast cancer (TNBC) presents a complex microenvironment with poorly defined epitranscriptomic features.
Purpose of the Study:
- To introduce and validate a novel method, Select-seq, for spatially resolved transcriptomic and epitranscriptomic analysis.
- To investigate the epitranscriptomic landscape of cancer stem cell-like microniches in TNBC.
- To correlate epitranscriptomic features with the tumor microenvironment and cellular composition.
Main Methods:
- Development of Select-seq: spatial-histopathological examination-linked epitranscriptomics converged to transcriptomics with sequencing.
- Isolation of specific regions of interest from immunofluorescence-stained tissue sections.
- Simultaneous acquisition of transcriptomic and epitranscriptomic data, including adenosine-to-inosine base editing analysis.
- Complementarity-determining region (CDR) analysis of infiltrating immune cells (T cells and B cells).
Main Results:
- Select-seq successfully obtained spatially resolved transcriptomic and epitranscriptomic data from TNBC tissue.
- Identification of alternative splice variants within cancer stem cell-like microniches.
- Characterization of the immune cell infiltrate (T cells and B cells) via CDR analysis.
- Discovery of a distinct adenosine-to-inosine editome specific to different microniche groups within TNBC.
Conclusions:
- Select-seq is a powerful tool for dissecting the spatial epitranscriptomic heterogeneity of solid tumors.
- The study reveals novel, microniche-specific epitranscriptomic signatures in TNBC.
- These findings enhance our understanding of TNBC biology and the tumor microenvironment, potentially paving the way for targeted therapies.
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