Transcriptomics

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CaClust: linking genotype to transcriptional heterogeneity of follicular lymphoma using BCR and exomic variants (K4B)


ABSTRACT: Tumours exhibit high genotypic and transcriptional heterogeneity. Both affect cancer progression and treatment, but have been predominantly studied separately in follicular lymphoma. To comprehensively investigate the evolution and genotype-to-phenotype maps in follicular lymphoma, we introduce CaClust, a probabilistic graphical model integrating deep whole exome, single-cell RNA and B-cell receptor sequencing data to infer clone genotypes, cell-to-clone mapping, and single-cell genotyping. CaClust outperforms a state-of-the-art model on simulated and patient data. In-depth analyses of single cells from four samples showcase effects of driver mutations, follicular lymphoma evolution, possible therapeutic targets, and single-cell genotyping that agrees with an independent targeted resequencing experiment.

ORGANISM(S): Homo sapiens

PROVIDER: GSE252687 | GEO | 2024/10/03

REPOSITORIES: GEO

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