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 |
| المساهمون: |
Ministerio de Ciencia, Innovación y Universidades, Comunidad de Madrid, Instituto de Salud Carlos III |
| المصدر: |
Genome Medicine ; volume 13, issue 1 ; ISSN 1756-994X |
| بيانات النشر: |
Springer Science and Business Media LLC |
| سنة النشر: |
2021 |
| مصطلحات موضوعية: |
Genetics (clinical), Genetics, Molecular Biology, Molecular Medicine |
| الوصف: |
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 . |
| نوع الوثيقة: |
article in journal/newspaper |
| اللغة: |
English |
| DOI: |
10.1186/s13073-021-01001-x |
| DOI: |
10.1186/s13073-021-01001-x.pdf |
| DOI: |
10.1186/s13073-021-01001-x/fulltext.html |
| الإتاحة: |
https://doi.org/10.1186/s13073-021-01001-xTest |
| حقوق: |
https://creativecommons.org/licenses/by/4.0Test ; https://creativecommons.org/licenses/by/4.0Test |
| رقم الانضمام: |
edsbas.E61BB939 |
| قاعدة البيانات: |
BASE |
