FB2026_01 , released March 12, 2026
FB2026_01 , released March 12, 2026
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Citation
Kanca, O., Zirin, J., Garcia-Marques, J., Knight, S.M., Yang-Zhou, D., Amador, G., Chung, H., Zuo, Z., Ma, L., He, Y., Lin, W.W., Fang, Y., Ge, M., Yamamoto, S., Schulze, K.L., Hu, Y., Spradling, A.C., Mohr, S.E., Perrimon, N., Bellen, H.J. (2019). An efficient CRISPR-based strategy to insert small and large fragments of DNA using short homology arms.  eLife 8(): e51539.
FlyBase ID
FBrf0244062
Publication Type
Research paper
Abstract
We previously reported a CRISPR-mediated knock-in strategy into introns of Drosophila genes, generating an attP-FRT-SA-T2A-GAL4-polyA-3XP3-EGFP-FRT-attP transgenic library for multiple uses (Lee et al., 2018a). The method relied on double stranded DNA (dsDNA) homology donors with ~1 kb homology arms. Here, we describe three new simpler ways to edit genes in flies. We create single stranded DNA (ssDNA) donors using PCR and add 100 nt of homology on each side of an integration cassette, followed by enzymatic removal of one strand. Using this method, we generated GFP-tagged proteins that mark organelles in S2 cells. We then describe two dsDNA methods using cheap synthesized donors flanked by 100 nt homology arms and gRNA target sites cloned into a plasmid. Upon injection, donor DNA (1 to 5 kb) is released from the plasmid by Cas9. The cassette integrates efficiently and precisely in vivo. The approach is fast, cheap, and scalable.
PubMed ID
PubMed Central ID
PMC6855806 (PMC) (EuropePMC)
Related Publication(s)
Personal communication to FlyBase

Data submitted by the Gene Disruption Project to FlyBase for the CRIMIC insertion line collection.
Gene Disruption Project members, 2018-, Data submitted by the Gene Disruption Project to FlyBase for the CRIMIC insertion line collection. [FBrf0239542]

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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    eLife
    Title
    eLife
    ISBN/ISSN
    2050-084X
    Data From Reference