Research graph
References from Beyond the flask: cancer cell lines and the limits of biological extrapolation. Local targets link to admitted publications; unresolved targets remain external evidence.
Human cancer cell lines: fact and fantasy
10.1038/35043102 · 2000 · External reference
Cancer cell lines are useful model systems for medical research
10.3390/cancers11081098 · 2019 · External reference
Genetic and transcriptional evolution alters cancer cell line drug response
10.1038/s41586-018-0409-3 · 2018 · External reference
In vitro cancer models: a closer look at limitations on translation
10.3390/bioengineering9040166 · 2022 · External reference
Prioritization of cancer therapeutic targets using CRISPR-Cas9 screens
10.1038/s41586-019-1103-9 · 2019 · External reference
In vitro human cancer models for biomedical applications
10.3390/cancers14092284 · 2022 · External reference
Pan-cancer single-cell RNA-seq identifies recurring programs of cellular heterogeneity
10.1038/s41588-020-00726-6 · 2020 · External reference
In vitro response of human small-cell lung-cancer cell lines to chemotherapeutic drugs; no correlation with clinical data
10.1002/ijc.2910510115 · 1992 · External reference
Redefining the relevance of established cancer cell lines to the study of mechanisms of clinical anti-cancer drug resistance
10.1073/pnas.1111840108 · 2011 · External reference
Identity crisis – rigor and reproducibility in human cell lines
10.1667/rr15086.1 · 2018 · External reference
Guidelines for the use of cell lines in biomedical research
10.1038/bjc.2014.166 · 2014 · External reference
Cell line authentication: a necessity for reproducible biomedical research
10.15252/embj.2022111307 · 2022 · External reference
Genetic profiling reveals an alarming rate of cross-contamination among human cell lines used in China
10.1096/fj.14-266718 · 2015 · External reference
The MDAR (Materials Design Analysis Reporting) Framework for transparent reporting in the life sciences
10.1073/pnas.2103238118 · 2021 · External reference
Cell lines as biological models: practical steps for more reliable research
10.1021/acs.chemrestox.9b00215 · 2019 · External reference
Patient-derived tumor organoids: a new avenue for preclinical research and precision medicine in oncology
10.1038/s12276-024-01272-5 · 2024 · External reference
Patient-derived xenograft models in cancer therapy: technologies and applications
10.1038/s41392-023-01419-2 · 2023 · External reference
A smarter health through the internet of Surgical things
10.3390/s22124577 · 2022 · External reference
3D printing in medicine: bridging imaging, education, and practice
10.5114/amsad/209721 · 2025 · External reference
