A strategy for genome-wide seamless tagging of human protein-coding genes
Karimi, M.; Saber, M. M.; Stifani, N.; Gauthier, L.; Serohijos, A. W.; Michnick, S. W.
Show abstract
Comprehensive and systematic proteome-wide experiments require financial and technical resources unavailable to most researchers. Here we describe a scalable CRISPR/Cas9-non-homologous end joining (NHEJ) based method for Pooled Recombinant Integration of Seamless Markers (PRISM) into protein coding genes. We created two gRNA libraries for 5- and 3-tagging of 18,804 human protein-coding genes. Selection for in-frame integration of the donor cassette can be guaranteed by fusing it to an antibiotic resistance enzyme (ARE) and P2A self-cleaving peptide, resulting in tagged proteins and free ARE to select for clones with inserted donor cassettes. We achieved a library integration rate of 19.75% and tagging of [~]80% for genes expressed in Hek293T cells and notably, 89.7% of essential genes, with donor DNA. Our strategy is scalable, specific, and selective, paving the way for genome-scale construction of human cell lines tagged with different types of reporter genes for protein functional characterization. Significance statementHere we report the first practical method to achieve near complete 5- or 3-end integration of reporter protein-coding sequences to express seamless fusions of human protein and reporter proteins that we call Pooled Recombinant Integration of Seamless Markers (PRISM). PRISM is independent of homology templates, yet it works with high efficiency and precision. Using gRNA-directed CRISPR/Cas9 genome editing and mini-plasmid donor cassettes we were able to tag about 80% of the protein-coding sequences of human genes with a green florescent protein at an integration efficiency of about 20% and most notably, of 90% of essential genes in the human cell line HEK 293T. This is important because the characterization of gene functions in a particular cell type usually begins with essential genes.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Targeted profiling of human extrachromosomal DNA by CRISPR-CATCH 97%
- Linking candidate causal autoimmune variants to T cell networks using genetic and epigenetic screens in primary human T cells. 97%
- Dynamic network-guided CRISPRi screen reveals CTCF loop-constrained nonlinear enhancer-gene regulatory activity in cell state transitions 97%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.