Project description:As the ancestor of CRISPR-Cas12 nucleases, TnpB represents the most compact gene editing tool currently available. Recent studies have identified multiple TnpB systems with gene editing activity in mammalian cells, and the potential of TnpB in treating diseases has been demonstrated in animal models. However, the editing characteristics of various TnpB systems, comparable to CRISPR tools, require more extensive investigation. Using a standardized evaluation framework, we conducted a thorough analysis of the editing properties of four TnpB variants alongside representative Cas12 and Cas9 tools. Overall, TnpBs exhibit intermediate editing activity and safety profiles among all tested systems, with ISYmu1 TnpB demonstrating a good performance in both editing activity and specificity. Considering its compact size, potent editing efficiency and high specificity, ISYmu1 TnpB represents a promising candidate for in vivo gene therapy applications.
Project description:Mutation effects prediction is a fundamental challenge in biotechnology and biomedicine. State-of-the-art computational methods have demonstrated the benefits of including semantically rich representations learned from protein sequences, but leave structural constraints out of reach. Here we developed Protein Mutational Effect Predictor (ProMEP), a general and multimodal deep representation learning method that simultaneously learns sequence context and structural constraints from proteins at the scale of evolution. ProMEP markedly outperforms current leading methods and enables accurate zero-shot mutational effects prediction across a variety of deep mutational scanning experiments. The application of ProMEP in the transposon-associated TnpB enzyme engineering task further demonstrates its ability for high-throughput protein space exploration. Without prior knowledge of TnpB, ProMEP accurately identifies multiple mutations that significantly improve the editing efficiency from millions of variants.
Project description:small RNA, PATH and mRNA libraries were made to characterize Col and various small RNA biogenesis mutants. Genome-wide RNA profiling was done by Illumina TruSeq sample preparation kits followed by high-throughput sequencing with Illumina HiSeq 2500 platform.
Project description:To determine the extent to which the major small RNA pathways functions across the Arabidopsis thaliana genome, small RNA populations from several tissues of wild-type (wt) and mutant plants were amplified by RT-PCR and sequenced using high-throughput 454 sequencing technology. Keywords: small RNAs, high-throughput sequencing
Project description:We report the m6dA modification on the Drosophila genome. We collected ovary genomic DNA from 2-day wild-type and DMAD mutant files and performed DNA-immunoprecipitation(DNA-IP)experiments using anti-m6dA antibody. The generated DNA library was subjected to a high-throughput deep sequencing analysis. In this assay, the IgG-immunoprecipited DNA from the same amount of wild-type ovaries was used as the control, and the high-throughput sequencing resulted in a range of approximately 3 to 4.6 million reads. In sum, we identified 50 and 195 peaks from wild-type and DMAD mutant samples. Importantly, m6dA is mainly utilized to modify the transposon sequence on the chromosomes. Examination of m6dA modifications in Genomic DNA of WT and DMAD mutant ovary.
