CRISPR Knockout Pooled Lentiviral sgRNA Libraries

Cellecta offers quality pooled lentiviral CRISPR sgRNA libraries for unbiased phenotypic knockout screens in mammalian cell systems. Pooled libraries of many thousands of defined single-guide RNA (sgRNA or gRNA) sequences enable disruption (or “knockout”) of thousands of genes throughout a cell population in a single experiment. Screening this cell population for a specific phenotype (e.g., viability) then enables the identification of specific genes driving that phenotype, such as a drug response or disease phenotype.

  • Effective guides incorporate Cellecta’s tracrRNA “HEAT” design and have been screened to minimize off-target knockout.
  • Both plasmid and pre-packaged lentivirus forms of the libraries are available.
  • Sufficient plasmid library is provided for immediate packaging (no re-amplification necessary).
  • Pooled CRISPRa and CRISPRi libraries are also available to study gene activation or inhibition.
  • In line with our mission to provide accessible, advanced technology that accelerates functional genomic analysis, Cellecta offers CRISPR libraries in both plasmid and pre-packaged formats with large portions for immediate use. All libraries are provided with complete sequence information on the vectors, inserts, and guides expressed, as well as Next-Generation Sequencing (NGS) data showing the number of reads per sgRNA, as well as the distribution of the sgRNA of the library.

    Guide designs for Cellecta’s libraries incorporate state-of-the-art design criteria to ensure the most effective knockout possible. In addition, the region of the sgRNA interacting with the Cas9 nuclease has been optimized for higher efficiency knockout by incorporating the “HEAT” design.

  • Guide designs incorporate optimized sgRNA structures and Cas9 interaction improvements using the “HEAT” design for improved knockout efficiency.

  • Pooled CRISPR screens enable identification of genes controlling phenotypes such as viability, growth, or pathway activation using NGS-based readouts.

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