Increase screening efficiency in High Throughput Screening (HTS) with 3D CoSeedis™
Compound screening protocols for high-throughput applications are highly standardised and precisely defined. Those rigid conditions have also been applied to cell culture technologies intended for the use in HTS and work pretty well for 2D cell culture systems. However, 2D cell culture is not physiologically reflecting the conditions in vivo and consequently produces an unacceptable number of false positives or negatives. On the other side, matching HTS requirements to physiologically relevant 3D cell culture conditions has proven to be laborious and inefficient: low aggregation efficiency of cells, irregular and heterogeneous spheroids, loose and unphysiological spheroid structures, these are just some of the hurdles that stood in the way of successful and efficient screening (for an overview see Booij et al. DOI: 10.1177/2472555219830087 and Ryan et al. DOI: 10.1089/adt.2015.670).
With 3D CoSeedis™ those disadvantages are a thing of the past!
3D CoSeedis™ is the ideal tool to increase HTS efficiency substantially:
3D CoSeedis™ provides highly uniform and homogenous spheroids/organoids in large quantities for HTS
A fully validated and standardised process results in 384-well plates containing a pre-defined number of spheroids/organoids per well (accuracy > 98%)
Moreover, 3D CoSeedis™ not only provides spheroids/organoids in large enough quantities for HTS, it also ensures that the 3D constructs are physiologically close to the in vivo situation:
Unique distance co-culture set-up allows the design of a physiological environment for spheroid/organoid formation and growth
Fully permeable matrix material of 3D CoSeedis™ allows optimal supply of spheroids/organoids with nutrients, oxygen, growth factors, etc.
A recent study has also demonstrated that 3D CoSeedis™ produces spheroids that are as compact as their in vivo micro-tumour counterparts and indisputably superior to alternative 3D technologies. Spheroids from 3D CoSeedis™ therefore represent an ideal tool in HTS to reproduce physiologically relevant drug responses.