Discover novel gene functions and interactions!

Loss-of-function screening on hundreds to tens of thousands of genes at once

Dharmacon Edit-R CRISPR-Cas9 libraries enable you to more easily explore relevant biological questions and examine complex phenotypes in human, mouse, and rat cell lines. All Edit-R guide RNAs are designed using our Edit-R algorithm to give you robust, reliable gene knockout that is highly reproducible across replicates. Libraries are available for specific gene sets, including the entire genome; Cherry-pick libraries are also available to target any custom set of genes. With four guide RNAs per gene in crRNA arrayed libraries, and up to 10 in pooled lentiviral libraries; Edit-R CRISPR-Cas9 screening libraries provide the breadth and depth of coverage you need to be confident in the results you achieve.

Arrayed screening libraries

Using the discriminatory power of arrayed libraries, screening against one guide RNA per well, you can assay significantly more complex or subtle phenotypes. The use of high-content assays is possible, which will give you deeper insight into your biology. With the ability to directly compare results between the four reagents per gene you can more easily stratify your hits and focus your efforts on the most promising first, speeding your time to publication or the clinic.

Arrayed Edit-R CRISPR-Cas9 libraries provide:

  • Straightforward stratification of results with four unique crRNA or lentiviral sgRNA designs per gene
  • Conveniently arrayed in 96- or 384-well plates and offered as gene family collections

Lentiviral single guide RNA libraries

Pooled screening libraries enable you elucidate biological pathways and genes of interest in highly multiplexed experiments, thereby limiting the equipment and materials needed to perform a successful screen. Enabling delivery to almost any cell type, even those refractory to transfection, lentiviral particles provide a means to select for only the cells that have been transduced, ensuring you are working in a stable population with minimal background.

Pooled Edit-R lentiviral sgRNA libraries provide:

  • Deep and broad coverage of 5 -10 sgRNAs per gene for increased hit confidence and comprehensive genome screening
  • Validated experimental and bioinformatics analysis protocols to enable your success

Selection guide

When choosing a CRISPR-Cas9 screening platform, there are many considerations in determining the best tools for your experimental needs. Instrumentation, analytical support, and assay type(s) must all be taken into account.

 

Lentiviral pooled sgRNA libraries

Synthetic crRNA libraries

Lentiviral arrayed sgRNA libraries

Format

Lentiviral particles in a small number of tubes

Synthetic crRNA arrayed in multi-well plates

Glycerol stocks containing lentiviral expression plasmids arrayed in 96-well plates

Delivery to cells

Lentiviral transduction

Standard transfection reagents or electroporation

Standard transfection reagents, electroporation, or lentiviral transduction if packaged into particles

Assay types supported

Phenotypes that results in changes in sgRNA abundance in the cell population and can be assessed by NGS can be investigated.

Growth phenotypes (proliferation or survival)

Selectable by cell sorting (fluorescence or cell surface marker expression)

A wide range of cellular phenotypes (high content analysis, reporter or enzymatic assays, etc.) can be investigated due to one-gene-one-well layout.

Editing efficiency in the population must be sufficient to allow for observation of the specific phenotype.

A wide range of cellular phenotypes (high content analysis, reporter or enzymatic assays, etc.) can be investigated due to one-gene-one-well layout.

Editing efficiency in the population must be sufficient to allow for observation of the specific phenotype.
Phenotypes that results in changes in sgRNA abundance in the cell population and can be assessed by NGS can be investigated if vectors are pooled

Screening hands-on time

Relatively low; can be carried out in a single culture dish

Scales up with the number of genes

Scales up with the number of genes

Data analysis requirements

Next-gen sequencing required for identification of sgRNA(s) and its abundance in the cell population

Phenotype is analyzed directly on a one-gene-per-well basis

Phenotype is analyzed directly on a one-gene-per-well basis

Learn more about available Edit-R CRISPR screening libraries »

Additional Resources