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TARGET-seq Takes Aim at Cancer Evolution through Multi-omics Single-Cell Genotyping and Transcriptomics
Ronan Chaligne1, Anna S Nam2, Dan A Landau3
1Division of Hematology and Medical Oncology, Department of Medicine and Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA; New York Genome Center, New York, NY, USA.
Abstract:
In this issue of Molecular Cell, Rodriguez-Meira et al. (2019) present TARGET-seq, an elegant single-cell method that genotypes somatic mutations and captures whole transcriptomes in the same tumor cells, thus paving the way to directly link somatic mutations with resulting transcriptional phenotypes in clonally diverse cancer populations.
Insights
Researchers developed TARGET-seq, a novel single-cell method. This technique links tumor cell mutations to their transcriptional effects, advancing cancer research.
Area of Science:
- Genomics
- Cancer Biology
- Molecular Biology
Background:
- Understanding the link between somatic mutations and gene expression is crucial in cancer research.
- Existing methods often struggle to profile both mutations and transcriptomes at the single-cell level in diverse cancer populations.
Purpose of the Study:
- To introduce and validate TARGET-seq, a new single-cell sequencing method.
- To enable direct correlation of somatic mutations with transcriptional phenotypes within individual tumor cells.
Main Methods:
- TARGET-seq combines single-cell genotyping of somatic mutations with whole transcriptome sequencing.
- The method is applied to clonally diverse cancer cell populations.
Main Results:
- TARGET-seq successfully genotypes somatic mutations and captures whole transcriptomes from the same tumor cells.
- The study demonstrates the feasibility of linking specific mutations to cellular transcriptional states.
Conclusions:
- TARGET-seq provides a powerful tool for dissecting the functional impact of somatic mutations in cancer.
- This method facilitates a deeper understanding of transcriptional heterogeneity driven by mutations in cancer populations.
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