Concerns, challenges and promises of high-content analysis of 3D cellular models
There is intense excitement in the scientific community about 3D cellular model systems because they promise to resemble and recapitulate the in vivo tissue environment more faithfully than 2D systems1. A rapidly expanding offering of commercially available in vitro technologies for high-throughput 3D cell-based disease models, combined with advances in material sciences, are enabling widespread application and adoption of these models across academic and industrial research groups. However, there is a lack of conclusive evidence that such models accurately recapitulate in vivo tissue physiology and disease pathophysiology, and thereby provide sufficiently quantitative and reproducible data to replace current models and improve the clinical success rates of drug candidates. Prominent cellular high-content screening (HCS) and bioimage informatics societies are therefore calling for further debate to discuss the value of these emerging 3D model systems in an effort to establish more transparent and standardized guidelines in the field. Specifically, scientific community representatives highlight the lack of validated methodologies and software tools that enable robust quantitative analysis of the vast number of newer 3D cellular models.
Concerns, challenges and promises of high-content analysis of 3D cellular models
Piccinini F.;
2018
Abstract
There is intense excitement in the scientific community about 3D cellular model systems because they promise to resemble and recapitulate the in vivo tissue environment more faithfully than 2D systems1. A rapidly expanding offering of commercially available in vitro technologies for high-throughput 3D cell-based disease models, combined with advances in material sciences, are enabling widespread application and adoption of these models across academic and industrial research groups. However, there is a lack of conclusive evidence that such models accurately recapitulate in vivo tissue physiology and disease pathophysiology, and thereby provide sufficiently quantitative and reproducible data to replace current models and improve the clinical success rates of drug candidates. Prominent cellular high-content screening (HCS) and bioimage informatics societies are therefore calling for further debate to discuss the value of these emerging 3D model systems in an effort to establish more transparent and standardized guidelines in the field. Specifically, scientific community representatives highlight the lack of validated methodologies and software tools that enable robust quantitative analysis of the vast number of newer 3D cellular models.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
