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CRISPR genome editing workflow

Overview

Major steps in CRISPR genome editing are designing the experiment—including choosing the Cas enzyme and designing the guide RNA—then delivering the reagents, allowing repair to occur, and analyzing the results.

Step 1: Design

Choose your Cas enzyme

The first step in designing a CRISPR experiment is choosing the appropriate CRISPR-associated (Cas) enzyme. The protospacer-adjacent motif (PAM) sequence is crucial in choosing which Cas enzyme to use, because it determines potential target sites for genome editing. The 2 main Cas enzymes used in genome editing are Cas9 and Cas12a, Cas9 was the first Cas enzyme used in the earliest CRISPR genome editing projects, and it remains the most popular Cas enzyme. Cas12a is exceptionally useful not only in mammalian cells but also in plants and other organisms. Optimized Alt-R™  Cas9 and Cas12a reagents are available from IDT. For some special projects, other Cas enzymes, such as catalytically dead Cas9 (dCas9) and nickases, are appropriate instead.

Design your guide RNA

To direct the Cas enzyme to the target site in the genomic DNA, guide RNA (gRNA) must be optimally designed. For Cas9, the gRNA can be made either as a single guide RNA (sgRNA) or a 2-part guide RNA (containing crRNA and tracrRNA). For Cas12a, the gRNA is also called crRNA and is a single molecule of RNA.

If you are using Cas9 systems, you may select from predesigned gRNAs or use our proprietary algorithms to design custom gRNAs. For designs of your own or from publications, use our design checker tool to assess targeting potential before ordering Cas9 gRNAs that are synthesized using Alt-R gRNA modifications. The Alt-R modification improves genome editing outcomes, and decreases toxicity and immune responses.

Step 2: Deliver

To deliver Cas enzyme and guide RNA to cells, we recommend complexing the enzyme and gRNA to form a ribonucleoprotein (RNP). The RNP can then be delivered to cells by either electroporation or lipofection. We offer separate electroporation enhancers for Cas9 and Cas12a to increase transfection efficiency.

Step 3: Repair

RNP using either Cas9 or Cas12a cuts the genomic DNA. Cells naturally undergo non-homologous end joining (NHEJ) or homology-directed repair (HDR) pathways. The NHEJ pathway requires RNP and creates mutations, which is useful for making knockouts to study gene function. HDR required RNP and templates (i.e., donor oligos containing the insertion sequence) and can be used to knockin specific mutations (e.g., insertions, deletions, SNP mutations). We offer a tool to design HDR donor oligos. These donors can include short DNA (Alt-R HDR donor oligos) or long DNA (Megamer fragments), depending on the mutation or knock-in desired.

Step 4: Analyze

Mutation detection can be assessed by several methods based on your experimental needs. For non-specific determination of the presence of a change in a genomic sequence, gel-based methods can be used. For determining the on-target editing and for investigating off-target effects, next generation sequencing is highly recommended.

Products for CRISPR genome editing

Alt-R CRISPR-Cas9 System

Efficient CRISPR reagents based on the commonly used Streptococcus pyogenes Cas9 system for lipofection or electroporation experiments. Protospacer adjacent motif (PAM) = NGG.

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Alt-R CRISPR-Cas12a (Cpf1) System

For additional target sites or for targeting AT-rich regions, use the Acidaminococcus sp. BV3LC CRISPR-Cas12a system in electroporation experiments. Protospacer adjacent motif (PAM) = TTTV. The Alt-R Cas12a (Cpf1) Ultra also can recognize many TTTT PAM sites.

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Alt-R Genome Editing Detection Kit

T7 endonuclease I (T7EI) mismatch cleavage assay for detection of on-target editing, known off-target events, and estimation of genome editing efficiency in cultured cells.

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rhAmpSeq Amplicon Sequencing System

Next generation sequencing method for sequencing on-target and known off-target CRISPR editing sites. The fast and easy rhAmpSeq workflow generates NGS-ready amplicon libraries for deep, targeted resequencing on Illumina platforms.

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