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Single‐cell transcriptional atlas of human breast cancers and model systems

1 Oct 2024

Abstract excerpt

BACKGROUND: Breast cancer's complex transcriptional landscape requires an improved understanding of cellular diversity to identify effective treatments. The study of genetic variations among breast cancer subtypes at single-cell resolution has potential to deepen our insights into cancer progression. METHODS: In this study, we amalgamate single-cell RNA sequencing data from patient tumours and matched lymph...

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PMID: 39417215
DOI: 10.1002/ctm2.70044

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