Use the expertise of our bioinformatics team to help with your NGS and screening analysis

CRISPR Pooled screening is a powerful and highly adaptable method to interrogate the phenotypic consequences of gene loss with a high-throughput genomics-based strategy.

Recent advances have seen rapid development of novel platforms that massively increase the throughput of CRISPR screening. Readout approaches can include high-throughput fluorescence-activated cell sorting (FACS) to determine cell phenotypes based on a biomarker signal or proliferation-linked screening, where the analysis is of sgRNA abundance in surviving cell populations.

In most cases, pooled screening follows a relatively consistent paradigm, though the specifics of an experiment create significant variation and complexity. The analysis can often be a daunting task and usually requires access to bioinformatics resources. Subsequent to preparation and sequencing of NGS data, the raw data must be analyzed to determine which sgRNA sequences, and thus related genes, are most likely to be impacting the phenotype being studied; referred to as the hits from the screen. This list of genes is then taken forward for confirmation and further biological assessment of their role. Due to the significant cost in time and resource investment in this part of the process, it is critical that the hits be accurately determined, and data properly assessed to prevent wasting effort on false leads.

Data analysis services, including sample preparation, Next-Gen Sequencing, and hit calling, can be provided for users of Edit-R Lentiviral sgRNA Pooled Screening Libraries. Simply provide whole cell pellets for each of your samples and we’ll do the rest. We can also help with the NGS data analysis and hit calling for data created using the Edit-R Pooled sgRNA Indexing PCR and Sequencing Primer Kits.

Contact us for more information about our data analysis services »

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