scholarly journals Multiplex base editing to convert TAG into TAA codons in the human genome

2021 ◽  
Author(s):  
Yuting Chen ◽  
Eriona Hysolli ◽  
Anlu Chen ◽  
Stephen Casper ◽  
Songlei Liu ◽  
...  

Large-scale recoding has been shown to enable novel amino acids, biocontainment and viral resistance in bacteria only so far. Here we extend this to human cells demonstrating exceptional base editing to convert TAG to TAA for 33 essential genes via a single transfection, and examine base-editing genome-wide (observing ~ 40 C-to-T off-target events in essential gene exons). We also introduce GRIT, a computational tool for recoding. This demonstrates the feasibility of recoding, and multiplex editing in mammalian cells.

Science ◽  
2008 ◽  
Vol 322 (5909) ◽  
pp. 1855-1857 ◽  
Author(s):  
Yiping He ◽  
Bert Vogelstein ◽  
Victor E. Velculescu ◽  
Nickolas Papadopoulos ◽  
Kenneth W. Kinzler

Transcription in mammalian cells can be assessed at a genome-wide level, but it has been difficult to reliably determine whether individual transcripts are derived from the plus or minus strands of chromosomes. This distinction can be critical for understanding the relationship between known transcripts (sense) and the complementary antisense transcripts that may regulate them. Here, we describe a technique that can be used to (i) identify the DNA strand of origin for any particular RNA transcript, and (ii) quantify the number of sense and antisense transcripts from expressed genes at a global level. We examined five different human cell types and in each case found evidence for antisense transcripts in 2900 to 6400 human genes. The distribution of antisense transcripts was distinct from that of sense transcripts, was nonrandom across the genome, and differed among cell types. Antisense transcripts thus appear to be a pervasive feature of human cells, which suggests that they are a fundamental component of gene regulation.


2021 ◽  
Author(s):  
Matthew G Durrant ◽  
Alison Fanton ◽  
Josh Tycko ◽  
Michaela Hinks ◽  
Sita Chandrasekaran ◽  
...  

Recent microbial genome sequencing efforts have revealed a vast reservoir of mobile genetic elements containing integrases that could be useful genome engineering tools. Large serine recombinases (LSRs), such as Bxb1 and PhiC31, are bacteriophage-encoded integrases that can facilitate the insertion of phage DNA into bacterial genomes. However, only a few LSRs have been previously characterized and they have limited efficiency in human cells. Here, we developed a systematic computational discovery workflow that searches across the bacterial tree of life to expand the diversity of known LSRs and their cognate DNA attachment sites by >100-fold. We validated this approach via experimental characterization of LSRs, leading to three classes of LSRs distinguished from one another by their efficiency and specificity. We identify landing pad LSRs that efficiently integrate into native attachment sites in a human cell context, human genome-targeting LSRs with computationally predictable pseudosites, and multi-targeting LSRs that can unidirectionally integrate cargos with similar efficiency and superior specificity to commonly used transposases. LSRs from each category were functionally characterized in human cells, overall achieving up to 7-fold higher plasmid recombination than Bxb1 and genome insertion efficiencies of 40-70% with cargo sizes over 7 kb. Overall, we establish a paradigm for the large-scale discovery of microbial recombinases directly from sequencing data and the reconstruction of their target sites. This strategy provided a rich resource of over 60 experimentally characterized LSRs that can function in human cells and thousands of additional candidates for large-payload genome editing without double-stranded DNA breaks.


2017 ◽  
Author(s):  
Felix Muerdter ◽  
Łukasz M. Boryń ◽  
Ashley R. Woodfin ◽  
Christoph Neumayr ◽  
Martina Rath ◽  
...  

AbstractThe identification of transcriptional enhancers in the human genome is a prime goal in biology. Enhancers are typically predicted via chromatin marks, yet their function is primarily assessed with plasmid-based reporter assays. Here, we show that two previous observations relating to plasmid-transfection into human cells render such assays unreliable: (1) the function of the bacterial plasmid origin-of-replication (ORI) as a conflicting core-promoter and (2) the activation of a type I interferon (IFN-I) response. These problems cause strongly confounding false-positives and -negatives in luciferase assays and genome-wide STARR-seq screens. We overcome both problems by directly employing the ORI as a core-promoter and by inhibiting two kinases central to IFN-I induction. This corrects luciferase assays and enables genome-wide STARR-seq screens in human cells. Comprehensive enhancer activity profiles in HeLa-S3 cells uncover strong enhancers, IFN-I-induced enhancers, and enhancers endogenously silenced at the chromatin level. Our findings apply to all episomal enhancer activity assays in mammalian cells, and are key to the characterization of human enhancers.


2018 ◽  
Author(s):  
Yun Deng ◽  
Fabio de Lima Hedayioglu ◽  
Jeremie Kalfon ◽  
Dominique Chu ◽  
Tobias von der Haar

AbstractThe genetic code is necessarily degenerate with 64 possible nucleotide triplets being translated into 20 amino acids. 18 out of the 20 amino acids are encoded by multiple synonymous codons. While synonymous codons are clearly equivalent in terms of the information they carry, it is now well established that they are used in a biased fashion. There is currently no consensus as to the origin of this bias. Drawing on ideas from stochastic thermodynamics we derive from first principles a mathematical model describing the statistics of codon usage bias. We show that the model accurately describes the distribution of codon usage bias of genomes in the fungal and bacterial kingdoms. Based on it, we derive a new computational measure of codon usage bias — the distance capturing two aspects of codon usage bias: (i) Differences in the genome-wide frequency of codons and (ii) apparent non-random distributions of codons across mRNAs. By means of large scale computational analysis of over 900 species across 2 kingdoms of life, we demonstrate that our measure provides novel biological insights. Specifically, we show that while codon usage bias is clearly based on heritable traits and closely related species show similar degrees of bias, there is considerable variation in the magnitude of within taxonomic classes suggesting that the contribution of sequence-level selection to codon bias varies substantially within relatively confined taxonomic groups. Interestingly, commonly used model organisms are near the median for values of for their taxonomic class, suggesting that they may not be good representative models for species with more extreme , which comprise organisms of medical an agricultural interest. We also demonstrate that amino acid specific patterns of codon usage are themselves quite variable between branches of the tree of life, and that some of this variability correlates with organismal tRNA content.


Blood ◽  
2004 ◽  
Vol 104 (11) ◽  
pp. 3420-3420
Author(s):  
Masashi Sanada ◽  
Yasuhito Nanya ◽  
Akira Hangaishi ◽  
Noriko Hosoya ◽  
LiLi Wang ◽  
...  

Abstract Myelodysplastic syndrome(MDS)is a clonal disorder of hematopoietic stem cells characterized by ineffective hematopoiesis and propensity to acute myeloid leukemias. The conversion of a normal stem cell into a preleukemic and ultimately leukemic state is thought to be a multistep process requiring accumulation of a number of genetic changes. Conventional cytogenetic analysis has disclosed a number of chromosome abnormalities common to MDS and provided valuable clues to characterize these genetic lesions, rarity of balanced translocations and relative predominance of unbalanced abnormalities in MDS, including gene deletions and amplifications. However conventional analytical methods provide only limited resolutions of analysis for identification of genetic gains and losses and prevent further molecular delineation of relevant genes to the pathogenesis of MDS.</PRE> Array-based comparative genomic hybridization (CGH) is a robust technique to enable rapid and comprehensive genome-wide analysis of genetic aberrations in cancers, in which differentially labeled DNAs from both tumor and normal samples are comparatively hybridized to a large number of genomic DNAs. In this study, we constructed a high-quality array-based CGH system for genome-wide analysis of chromosomal abnormalities to identify candidate target genes of MDS. Our whole genome arrays consisted of 3,300 BAC/PAC clones, thus having an average resolution of 1.0 Mb over the whole human genome. Each clone was amplified with degenerated oligonucleotide primed-PCR (DOP-PCR) and the amplified products were spotted in duplicate grids onto aminosilan-coated glass slides. For more high-resolution analysis, we employed the GeneChip Mapping 100k arrays (Affymetrix), originally developed for large-scale SNP typing, as a tool for detection of copy number changes in selected MDS cases. It contains 116,204 different SNPs on two separate arrays, covering the whole human genome with an average resolution of 21 kb. With this arrays DNA copy number’s changes could be estimated by comparing intensity of SNP signals of tumor cells with that of normal cells from the same patients. In addition, using paired samples from tumor cells and normal cells, large-scale LOH analysis became also possible.</PRE> In total, 54 MDS samples were analyzed using our array CGH system. In addition to large chromosomal changes, including loss of 5q, 7q, 13q, and 20q, and gain of the whole chromosome 8, a number of small, cryptic chromosomal abnormalities were identified that would escape from conventional cytogenetic detection. Many of these abnormalities were represented only by a single PAC/BAC clone. In several chromosome regions, including 3q13, 5p15, 13p33, and 20q12, there existed commonly deleted regions, which could be confirmed by FISH analysis. Similarly gains of genetic materials were found on 8p23 and 17p13. Several genes were identified within these regions that may be candidates for relevant genes to these genetic alterations. In conclusion, genome-profiling using array CGH techniques were highly useful tools for delineating the pathogenesis of MDS.</PRE>


2018 ◽  
Author(s):  
Erwei Zuo ◽  
Yidi Sun ◽  
Wu Wei ◽  
Tanglong Yuan ◽  
Wenqin Ying ◽  
...  

AbstractGenome editing tools including CRISPR/Cas9 and base editors hold great promise for correcting pathogenic mutations. Unbiased genome-wide off-target effects of the editing in mammalian cells is required before clinical applications, but determination of the extent of off-target effects has been difficult due to the existence of single nucleotide polymorphisms (SNPs) in individuals. Here, we developed a method named GOTI (Genome-wide Off-target analysis by Two-cell embryo Injection) to detect off-target mutations without interference of SNPs. We applied GOTI to both the CRISPR-Cas9 and base editing (BE3) systems by editing one blastomere of the two-cell mouse embryo and then compared whole genome sequences of progeny-cell populations at E14.5 stage. Sequence analysis of edited and non-edited cell progenies showed that undesired off-target single nucleotide variants (SNVs) are rare (average 10.5) in CRISPR-edited mouse embryos, with a frequency close to the spontaneous mutation rate. By contrast, BE3 editing induced over 20-fold higher SNVs (average 283), raising the concern of using base-editing approaches for biomedical application.


2021 ◽  
Author(s):  
Marjan Barazandeh ◽  
Divya Kriti ◽  
Corey Nislow ◽  
Guri Giaever

Abstract BackgroundChemogenomic profiling is a powerful approach towards understanding the genome-wide cellular response to small molecules. Developed in Saccharomyces cerevisiae, chemogenomic screens provide direct, unbiased identification of drug target candidates as well as genes required for drug resistance. While many laboratories have performed chemogenomic fitness assays, they have not been assessed for reproducibility and accuracy. Here we analyze the two largest independent yeast chemogenomic datasets comprising over 35 million gene-drug interactions and more than 6000 unique chemogenomic profiles; the first from our own academic laboratory and the second from the Novartis Institute of Biomedical Research (NIBR).ResultsCombining the datasets revealed robust genetic interaction response signatures that point to common mechanism of action, despite the substantial differences in experimental and analytical pipelines. We previously reported that the cellular response to small molecules is limited and can be described by a network of 45 chemogenomic signatures. In the present study, we show that the majority of these signatures (66%) are also found in the companion dataset, providing further support for their biological relevance as systems-level, small molecule response systems. ConclusionsOur results demonstrate the robustness of chemogenomic fitness profiling in yeast, while offering guidelines for performing other high-dimensional comparisons including parallel CRISPR screens in mammalian cells.


2021 ◽  
Author(s):  
Yin Liu ◽  
Guangwei Ma ◽  
Zenghong Gao ◽  
Jian Li ◽  
Jin Wang ◽  
...  

Chromosome rearrangement plays important roles in development, carcinogenesis and evolution. However, its mechanism and subsequent effects are not fully understood. At present, large-scale chromosome rearrangement has been performed in the simple eukaryote, wine yeast, but the relative research in mammalian cells remains at the level of individual chromosome rearrangement due to technical limitations. In this study, we used CRISPR-Cas9 to target the highly repetitive human endogenous retrotransposons, LINE-1 (L1) and Alu, resulting in a large number of DNA double-strand breaks in the chromosomes. While this operation killed the majority of the cells, we eventually obtained live cell groups. Karyotype analysis and genome re-sequencing proved that we have achieved systematic chromosome rearrangement (SCR) in human cells. The copy number variations (CNVs) of the SCR genomes showed typical patterns that observed in tumor genomes. For example, the most frequent deleted region Chr9p21 containing p15 and p16 tumor suppressor, and the amplified region Chr8q24 containing MYC in tumors were all identified in both SCR cells. The ATAC-seq and RNA-seq further revealed that the epigenetic and transcriptomic landscapes were deeply reshaped by the SCR. Gene expressions related to p53 pathway, DNA repair, cell cycle and apoptosis were greatly altered to facilitate the cell survival under the severe stress induced by the large-scale chromosomal breaks. In addition, we found that the cells acquired CRISPR-Cas9 resistance after SCR by interfering with the Cas9 mRNA. Our study provided a new application of CRISPR-Cas9 and a practical approach for SCR in complex mammalian genomes.


2017 ◽  
Author(s):  
Michelle Spoto ◽  
Elizabeth Fleming ◽  
Julia Oh

AbstractBackgroundThe CRISPR/Cas system has significant potential to facilitate gene editing in a variety of bacterial species. CRISPR interference (CRISPRi) and CRISPR activation (CRISPRa) represent modifications of the CRISPR/Cas9 system utilizing a catalytically inactive Cas9 protein for transcription repression or activation, respectively. While CRISPRi and CRISPRa have tremendous potential to systematically investigate gene function in bacteria, no pan-bacterial, genome-wide tools exist for guide discovery. We have created Guide Finder: a customizable, user-friendly program that can design guides for any annotated bacterial genome.ResultsGuide Finder designs guides from NGG PAM sites for any number of genes using an annotated genome and fasta file input by the user. Guides are filtered according to user-defined design parameters and removed if they contain any off-target matches. Iteration with lowered parameter thresholds allows the program to design guides for genes that did not produce guides with the more stringent parameters, a feature unique to Guide Finder. Guide Finder has been tested on a variety of diverse bacterial genomes, on average finding guides for 95% of genes. Moreover, guides designed by the program are functionally useful—focusing on CRISPRi as a potential application—as demonstrated by essential gene knockdown in two staphylococcal species.ConclusionsThrough the large-scale generation of guides, this open-access software will improve accessibility to CRISPR/Cas studies for a variety of bacterial species.


2018 ◽  
Author(s):  
Timothy J. de Wet ◽  
Irene Gobe ◽  
Musa M. Mhlanga ◽  
Digby F. Warner

AbstractHigh-throughput essentiality screens have enabled genome-wide assessments of the genetic requirements for growth and survival of a variety of bacteria in different experimental models. The reliance in many of these studies on transposon (Tn)-based gene inactivation has, however, limited the ability to probe essential gene function or design targeted screens. We interrogated the potential of targeted, large-scale, pooled CRISPR interference (CRISPRi)-based screens to extend conventional Tn approaches in mycobacteria through the capacity for positionally regulable gene repression. Here, we report the utility of the “CRISPRi-Seq” method for targeted, pooled essentiality screening, confirming strong overlap with Tn-Seq datasets. In addition, we exploit this high-throughput approach to provide insight into CRISPRi functionality. By interrogating polar effects and combining image-based phenotyping with CRISPRi-mediated depletion of selected essential genes, we demonstrate that CRISPRi-Seq can functionally validate Transcriptional Units within operons. Together, these observations suggest the utility of CRISPRi-Seq to provide insights into (myco)bacterial gene regulation and expression on a genome-wide scale.


Sign in / Sign up

Export Citation Format

Share Document