Nuclease Target Site Selection for Maximizing On-target Activity and Minimizing Off-target Effects in Genome Editing.
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ABSTRACT:
SUBMITTER: Lee CM
PROVIDER: S-EPMC4786925 | biostudies-other | 2016 Mar
REPOSITORIES: biostudies-other
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Project description:Genome-wide unbiased identification of double-stranded breaks enabled by sequencing (GUIDE-seq) is a sensitive, unbiased, genome-wide method for defining the activity of genome-editing nucleases in living cells. GUIDE-seq is based on the principle of efficient integration of an end-protected double-stranded oligodeoxynucleotide tag into sites of nuclease-induced DNA double-stranded breaks, followed by amplification of tag-containing genomic DNA molecules and high-throughput sequencing. Here we describe a detailed GUIDE-seq protocol including cell transfection, library preparation, sequencing and bioinformatic analysis. The entire protocol including cell culture can be completed in 9 d. Once tag-integrated genomic DNA is isolated, library preparation, sequencing and analysis can be performed in 3 d. The result is a genome-wide catalog of off-target sites ranked by nuclease activity as measured by GUIDE-seq read counts. GUIDE-seq is one of the most sensitive cell-based methods for defining genome-wide off-target activity and has been broadly adopted for research and therapeutic use.
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Project description:BackgroundThe use of gene signatures can potentially be of considerable value in the field of clinical diagnosis. However, gene signatures defined with different methods can be quite various even when applied the same disease and the same endpoint. Previous studies have shown that the correct selection of subsets of genes from microarray data is key for the accurate classification of disease phenotypes, and a number of methods have been proposed for the purpose. However, these methods refine the subsets by only considering each single feature, and they do not confirm the association between the genes identified in each gene signature and the phenotype of the disease. We proposed an innovative new method termed Minimize Feature's Size (MFS) based on multiple level similarity analyses and association between the genes and disease for breast cancer endpoints by comparing classifier models generated from the second phase of MicroArray Quality Control (MAQC-II), trying to develop effective meta-analysis strategies to transform the MAQC-II signatures into a robust and reliable set of biomarker for clinical applications.ResultsWe analyzed the similarity of the multiple gene signatures in an endpoint and between the two endpoints of breast cancer at probe and gene levels, the results indicate that disease-related genes can be preferably selected as the components of gene signature, and that the gene signatures for the two endpoints could be interchangeable. The minimized signatures were built at probe level by using MFS for each endpoint. By applying the approach, we generated a much smaller set of gene signature with the similar predictive power compared with those gene signatures from MAQC-II.ConclusionsOur results indicate that gene signatures of both large and small sizes could perform equally well in clinical applications. Besides, consistency and biological significances can be detected among different gene signatures, reflecting the studying endpoints. New classifiers built with MFS exhibit improved performance with both internal and external validation, suggesting that MFS method generally reduces redundancies for features within gene signatures and improves the performance of the model. Consequently, our strategy will be beneficial for the microarray-based clinical applications.
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Project description:The cephalochordate amphioxus is a promising animal model for studying the origin of vertebrates due to its key phylogenetic position among chordates. Although transcription activator-like effector nucleases (TALENs) have been adopted in amphioxus genome editing, its labor-intensive construction of TALEN proteins limits its usage in many laboratories. Here we reported an application of the CRISPR/Cas9 system, a more amenable genome editing method, in this group of animals. Our data showed that while co-injection of Cas9 mRNAs and sgRNAs into amphioxus unfertilized eggs caused no detectable mutations at targeted loci, injections of Cas9 mRNAs and sgRNAs at the two-cell stage, or of Cas9 protein and sgRNAs before fertilization, can execute efficient disruptions of targeted genes. Among the nine tested sgRNAs (targeting five genes) co-injected with Cas9 protein, seven introduced mutations with efficiency ranging from 18.4% to 90% and four caused specific phenotypes in the injected embryos. We also demonstrated that monomerization of sgRNAs via thermal treatment or modifying the sgRNA structure could increase mutation efficacies. Our study will not only promote application of genome editing method in amphioxus research, but also provide valuable experiences for other organisms in which the CRISPR/Cas9 system has not been successfully applied.
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