Beyondcell: targeting cancer therapeutic heterogeneity in single-cell RNA-seq data

Autor: Coral Fustero-Torre, María José Jiménez-Santos, Santiago García-Martín, Carlos Carretero-Puche, Luis García-Jimeno, Vadym Ivanchuk, Tomás Di Domenico, Gonzalo Gómez-López, Fátima Al-Shahrour
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Genome Medicine, Vol 13, Iss 1, Pp 1-15 (2021)
Druh dokumentu: article
ISSN: 1756-994X
DOI: 10.1186/s13073-021-01001-x
Popis: Abstract We present Beyondcell, a computational methodology for identifying tumour cell subpopulations with distinct drug responses in single-cell RNA-seq data and proposing cancer-specific treatments. Our method calculates an enrichment score in a collection of drug signatures, delineating therapeutic clusters (TCs) within cellular populations. Additionally, Beyondcell determines the therapeutic differences among cell populations and generates a prioritised sensitivity-based ranking in order to guide drug selection. We performed Beyondcell analysis in five single-cell datasets and demonstrated that TCs can be exploited to target malignant cells both in cancer cell lines and tumour patients. Beyondcell is available at: https://gitlab.com/bu_cnio/beyondcell .
Databáze: Directory of Open Access Journals