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Biomedical subjects

Kexin Yu

Publications and source records attributed to Kexin Yu.

3 recordsLinked to original sources

Efficient and precise programmable DNA knock-in without double-strand breaks.

Programmable gene knock-in holds substantial promise for treating genetic diseases and advancing cell therapies. However, achieving precise and efficient kilobase-scale DNA fragment integration remains challenging1,2. Here we report CRISPR kilobase-scale nickase-targeting (KNIT) editing for efficient, precise and programmable kilobase-scale DNA insertion without double-strand DNA cleavage, which is enabled through the coupling of a Cas9 nickase with a DNA donor recruiting system. KNIT editing facilitates programmable integration of DNA fragments from 0.7 kb to more than 10 kb and is effective across genomic loci and cell types. It achieves up to 89% efficiency and markedly reduces unintended insertion-deletion mutation (indels) rates, translocations and off-target editing. The system supports repeated insertion editing and multiloci gene knock-in with minimal translocations. Its enhanced version, KNIT editor 2, further improves efficiency via a single transfection. Moreover, in mutant cells with a pathological mutation, KNIT editing restores normal gene expression by inserting a therapeutic gene into a safe harbour locus or its native locus. Notably, KNIT editing enables non-viral and programmable chimeric antigen receptor T cell (CAR-T cell) engineering without double-strand breaks and with clinically relevant efficiencies. Moreover, the engineered CAR-T cells exhibit effective antitumour activity in vitro and in mouse models. Therefore, by achieving programmable and site-specific kilobase-scale DNA insertions without double-strand breaks while reducing unintended outcomes, KNIT editing provides a versatile platform for advancing personalized medicine.

Animals↗

X-ray crystal structures of the WT and a hyper-accurate ribosome from Escherichia coli.

Protein biosynthesis on the ribosome requires accurate reading of the genetic code in mRNA. Two conformational rearrangements in the small ribosomal subunit, a closing of the head and body around the incoming tRNA and an RNA helical switch near the mRNA decoding site, have been proposed to select for complementary base-pairing between mRNA codons and tRNA anticodons. We determined x-ray crystal structures of the WT and a hyper-accurate variant of the Escherichia coli ribosome at resolutions of 10 and 9 A, respectively, revealing that formation of the intact 70S ribosome from its two subunits closes the conformation of the head of the small subunit independent of mRNA decoding. Moreover, no change in the conformation of the switch helix is observed in two steps of tRNA discrimination. These 70S ribosome structures indicate that mRNA decoding is coupled primarily to movement of the small subunit body, consistent with previous proposals, whereas closing of the head and the helical switch may function in other steps of protein synthesis.

Base Sequence↗

Functional profiling of the Saccharomyces cerevisiae genome.

Determining the effect of gene deletion is a fundamental approach to understanding gene function. Conventional genetic screens exhibit biases, and genes contributing to a phenotype are often missed. We systematically constructed a nearly complete collection of gene-deletion mutants (96% of annotated open reading frames, or ORFs) of the yeast Saccharomyces cerevisiae. DNA sequences dubbed 'molecular bar codes' uniquely identify each strain, enabling their growth to be analysed in parallel and the fitness contribution of each gene to be quantitatively assessed by hybridization to high-density oligonucleotide arrays. We show that previously known and new genes are necessary for optimal growth under six well-studied conditions: high salt, sorbitol, galactose, pH 8, minimal medium and nystatin treatment. Less than 7% of genes that exhibit a significant increase in messenger RNA expression are also required for optimal growth in four of the tested conditions. Our results validate the yeast gene-deletion collection as a valuable resource for functional genomics.

Cell Size↗