Pooled high content phenotypic screens of genes and drugs. Compatible with multiple libraries including CRISPR gRNAs, shRNAs, antibodies, and even small molecule compounds.
Image-based high-content screening (HCS) is a powerful method for identifying genes compounds that induce physiologically relevant disease-linked cellular phenotypes. However, it is time-consuming expensive due to its reliance on well-to-well imaging of microplates.
ThinkCyte has developed a new method that enables high-throughput image-based HCS in a pooled format using their proprietary machine Vision-based Cell Sorting technology. This novel method is compatible with various types of libraries, including CRISPR gRNAs, shRNAs, antibodies, peptides, small molecule compounds.
* Images acquired from the FlowSight system (Luminex)
Small molecule libraries, CRISPR, shRNA, peptide, phage libraries, etc.
・Pathway-specific libraries: 1–3 h ・Whole-genome libraries: 8–12 h ・Compound libraries (~100,000 compounds): 1–3 d
Only a few hundred cells per gene/compound are required for screening.
Image data is linked to the NGS data.
In the phenotypic screening process, identification of disease relevant phenotypes is crucial. Our screening platform is able to detect various types of phenotypes, such as changes in protein localization, aggregation, and cell and organelle morphology, using fluorescence reporters.
Furthermore, our proprietary machine vision-based classification technique can discriminate morphological differences of cells including live and apoptotic cells, differentiated and undifferentiated cells, and healthy and disease relevant cells, without the use of molecular labels. These label-free phenotypes can be also used in our screening system.
ThinkCyte screening platform enables image-based high-content screens in a pooled format and can dramatically accelerate the screening process while reducing costs.
It is compatible with a wide range of libraries, including CRISPR gRNAs, shRNAs, antibodies, peptides, and small molecule compounds.
ThinkCyte technology is applicable for genetic screens using lentivirus libraries, including CRISPR libraries.
Combining ThinkCyte proprietary Ghost Cytometry technology with DNA barcoding and droplet techniques, image-based high-content screens can be performed for small molecule libraries in a pooled format as well.
Images by ThinkCyte