دورية أكاديمية

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

التفاصيل البيبلوغرافية
العنوان: Beyondcell: targeting cancer therapeutic heterogeneity in single-cell RNA-seq data.
المؤلفون: Fustero-Torre, Coral, Jiménez-Santos, María José, García-Martín, Santiago, Carretero-Puche, Carlos, García-Jimeno, Luis, Ivanchuk, Vadym, Di Domenico, Tomás, Gómez-López, Gonzalo, Al-Shahrour, Fátima
المصدر: Genome Medicine; 12/15/2021, Vol. 13 Issue 1, p1-15, 15p
مصطلحات موضوعية: RNA sequencing, CELL populations, HETEROGENEITY, DRUG repositioning, CELL lines
مستخلص: 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/beyondcellTest. [ABSTRACT FROM AUTHOR]
Copyright of Genome Medicine is the property of BioMed Central and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
قاعدة البيانات: Complementary Index
الوصف
تدمد:1756994X
DOI:10.1186/s13073-021-01001-x