scholarly journals AlleleAnalyzer: a tool for personalized and allele-specific sgRNA design

2018 ◽  
Author(s):  
Kathleen C. Keough ◽  
Svetlana Lyalina ◽  
Michael P. Olvera ◽  
Sean Whalen ◽  
Bruce R. Conklin ◽  
...  
Keyword(s):  
Genome Editing ◽  
Reference Genome ◽  
Individual Genome ◽  
Experimental Performance ◽  
Human Genomes ◽  
Large Populations ◽  
Allele Specific ◽  
Sgrna Design ◽  
Single Base Pair ◽  
The Individual

AbstractThe CRISPR/Cas system is a highly specific genome editing tool capable of distinguishing alleles differing by even a single base pair. However, current tools only design sgRNAs for a reference genome, not taking into account individual variants which may generate, remove, or modify CRISPR/Cas sgRNA sites. This may cause mismatches between designed sgRNAs and the individual genome they are intended to target, leading to decreased experimental performance. Here we describe AlleleAnalyzer, a tool for designing personalized and allele-specific sgRNAs for genome editing. We leverage >2,500 human genomes to identify optimized pairs of sgRNAs that can be used for human therapeutic editing in large populations in the future.

scholarly journals RECORD: Reference-Assisted Genome Assembly for Closely Related Genomes

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Krisztian Buza ◽  
Bartek Wilczynski ◽  
Norbert Dojer
Keyword(s):  
Reference Genome ◽  
De Novo ◽  
Real Data ◽  
Reference Sequence ◽  
Individual Genome ◽  
Single Experiment ◽  
Sequencing Technologies ◽  
Sequencing Cost ◽  
The Individual ◽  
Assembly Software

Background. Next-generation sequencing technologies are now producing multiple times the genome size in total reads from a single experiment. This is enough information to reconstruct at least some of the differences between the individual genome studied in the experiment and the reference genome of the species. However, in most typical protocols, this information is disregarded and the reference genome is used.Results. We provide a new approach that allows researchers to reconstruct genomes very closely related to the reference genome (e.g., mutants of the same species) directly from the reads used in the experiment. Our approach applies de novo assembly software to experimental reads and so-called pseudoreads and uses the resulting contigs to generate a modified reference sequence. In this way, it can very quickly, and at no additional sequencing cost, generate new, modified reference sequence that is closer to the actual sequenced genome and has a full coverage. In this paper, we describe our approach and test its implementation called RECORD. We evaluate RECORD on both simulated and real data. We made our software publicly available on sourceforge.Conclusion. Our tests show that on closely related sequences RECORD outperforms more general assisted-assembly software.

scholarly journals Zea mays RNA-seq estimated transcript abundances are strongly affected by read mapping bias

BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Shuhua Zhan ◽  
Cortland Griswold ◽  
Lewis Lukens
Keyword(s):  
Gene Expression ◽  
Zea Mays ◽  
Reference Genome ◽  
Transcript Abundance ◽  
Gene Transcript ◽  
Rna Seq ◽  
Individual Genome ◽  
Abundance Estimates ◽  
Mapping Bias ◽  
Quantify Gene Expression

Abstract Background Genetic variation for gene expression is a source of phenotypic variation for natural and agricultural species. The common approach to map and to quantify gene expression from genetically distinct individuals is to assign their RNA-seq reads to a single reference genome. However, RNA-seq reads from alleles dissimilar to this reference genome may fail to map correctly, causing transcript levels to be underestimated. Presently, the extent of this mapping problem is not clear, particularly in highly diverse species. We investigated if mapping bias occurred and if chromosomal features associated with mapping bias. Zea mays presents a model species to assess these questions, given it has genotypically distinct and well-studied genetic lines. Results In Zea mays, the inbred B73 genome is the standard reference genome and template for RNA-seq read assignments. In the absence of mapping bias, B73 and a second inbred line, Mo17, would each have an approximately equal number of regulatory alleles that increase gene expression. Remarkably, Mo17 had 2–4 times fewer such positively acting alleles than did B73 when RNA-seq reads were aligned to the B73 reference genome. Reciprocally, over one-half of the B73 alleles that increased gene expression were not detected when reads were aligned to the Mo17 genome template. Genes at dissimilar chromosomal ends were strongly affected by mapping bias, and genes at more similar pericentromeric regions were less affected. Biased transcript estimates were higher in untranslated regions and lower in splice junctions. Bias occurred across software and alignment parameters. Conclusions Mapping bias very strongly affects gene transcript abundance estimates in maize, and bias varies across chromosomal features. Individual genome or transcriptome templates are likely necessary for accurate transcript estimation across genetically variable individuals in maize and other species.

scholarly journals Chromatin extrusion explains key features of loop and domain formation in wild-type and engineered genomes

2015 ◽  
Vol 112 (47) ◽  
pp. E6456-E6465 ◽  
Author(s):  
Adrian L. Sanborn ◽  
Suhas S. P. Rao ◽  
Su-Chen Huang ◽  
Neva C. Durand ◽  
Miriam H. Huntley ◽  
...  
Keyword(s):  
Genome Editing ◽  
Binding Sites ◽  
Physical Structure ◽  
Ctcf Binding ◽  
Binding Motifs ◽  
Physical Simulations ◽  
Chromatin Folding ◽  
Mammalian Genomes ◽  
Single Base Pair ◽  
Fractal Globule

We recently used in situ Hi-C to create kilobase-resolution 3D maps of mammalian genomes. Here, we combine these maps with new Hi-C, microscopy, and genome-editing experiments to study the physical structure of chromatin fibers, domains, and loops. We find that the observed contact domains are inconsistent with the equilibrium state for an ordinary condensed polymer. Combining Hi-C data and novel mathematical theorems, we show that contact domains are also not consistent with a fractal globule. Instead, we use physical simulations to study two models of genome folding. In one, intermonomer attraction during polymer condensation leads to formation of an anisotropic “tension globule.” In the other, CCCTC-binding factor (CTCF) and cohesin act together to extrude unknotted loops during interphase. Both models are consistent with the observed contact domains and with the observation that contact domains tend to form inside loops. However, the extrusion model explains a far wider array of observations, such as why loops tend not to overlap and why the CTCF-binding motifs at pairs of loop anchors lie in the convergent orientation. Finally, we perform 13 genome-editing experiments examining the effect of altering CTCF-binding sites on chromatin folding. The convergent rule correctly predicts the affected loops in every case. Moreover, the extrusion model accurately predicts in silico the 3D maps resulting from each experiment using only the location of CTCF-binding sites in the WT. Thus, we show that it is possible to disrupt, restore, and move loops and domains using targeted mutations as small as a single base pair.

scholarly journals Improving the Precision of Base Editing by Bubble Hairpin Single Guide RNA

mBio ◽  
2021 ◽  
Vol 12 (2) ◽  
Author(s):  
Zhiwei Hu ◽  
Yannan Wang ◽  
Qian Liu ◽  
Yan Qiu ◽  
Zhiyu Zhong ◽  
...  
Keyword(s):  
Genome Editing ◽  
Dna Breaks ◽  
Single Nucleotide ◽  
Base Editing ◽  
Guide Rna ◽  
Guide Rnas ◽  
Double Stranded Dna ◽  
Target Sites ◽  
Guide Sequence ◽  
Sgrna Design

ABSTRACT Base editing is a powerful genome editing approach that enables single-nucleotide changes without double-stranded DNA breaks (DSBs). However, off-target effects as well as other undesired editings at on-target sites remain obstacles for its application. Here, we report that bubble hairpin single guide RNAs (BH-sgRNAs), which contain a hairpin structure with a bubble region on the 5′ end of the guide sequence, can be efficiently applied to both cytosine base editor (CBE) and adenine base editor (ABE) and significantly decrease off-target editing without sacrificing on-target editing efficiency. Meanwhile, such a design also improves the purity of C-to-T conversions induced by base editor 3 (BE3) at on-target sites. Our results present a distinctive and effective strategy to improve the specificity of base editing. IMPORTANCE Base editors are DSB-free genome editing tools and have been widely used in diverse living systems. However, it is reported that these tools can cause substantial off-target editings. To meet this challenge, we developed a new approach to improve the specificity of base editors by using hairpin sgRNAs with a bubble. Furthermore, our sgRNA design also dramatically reduced indels and unwanted base substitutions at on-target sites. We believe that the BH-sgRNA design is a significant improvement over existing sgRNAs of base editors, and our design promises to be adaptable to various base editors. We expect that it will make contributions to improving the safety of gene therapy.

scholarly journals Allele-specific genome editing using CRISPR–Cas9 is associated with loss of heterozygosity in diploid yeast

2018 ◽  
Vol 47 (3) ◽  
pp. 1362-1372 ◽  
Author(s):  
Arthur R Gorter de Vries ◽  
Lucas G F Couwenberg ◽  
Marcel van den Broek ◽  
Pilar de la Torre Cortés ◽  
Jolanda ter Horst ◽  
...  
Keyword(s):  
Genome Editing ◽  
Loss Of Heterozygosity ◽  
Allele Specific

scholarly journals Author Correction: Allele specific repair of splicing mutations in cystic fibrosis through AsCas12a genome editing

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Giulia Maule ◽  
Antonio Casini ◽  
Claudia Montagna ◽  
Anabela S. Ramalho ◽  
Kris De Boeck ◽  
...  
Keyword(s):  
Cystic Fibrosis ◽  
Genome Editing ◽  
Splicing Mutations ◽  
Allele Specific

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Fine-Mapping and Genome Editing Reveal An Essential Erythroid Enhancer At The HbF-Associated BCL11A Locus

Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 437-437 ◽  
Author(s):  
Daniel E. Bauer ◽  
Sophia C. Kamran ◽  
Samuel Lessard ◽  
Jian Xu ◽  
Yuko Fujiwara ◽  
...  
Keyword(s):  
Gene Expression ◽  
Transcription Factor ◽  
Genome Editing ◽  
Fine Mapping ◽  
Dnase I ◽  
Reporter Activity ◽  
Functional Variants ◽  
Allele Specific ◽  
Hbf Level ◽  
Regulatory Dna

Abstract Introduction Genome-wide association studies (GWAS) have ascertained numerous trait-associated common genetic variants localized to regulatory DNA. The hypothesis that regulatory variation accounts for substantial heritability has undergone scarce experimental evaluation. Common variation at BCL11A is estimated to explain ∼15% of the trait variance in fetal hemoglobin (HbF) level but the functional variants remain unknown. Materials and Methods We use chromatin immunoprecipitation (ChIP), DNase I sensitivity and chromosome conformation capture to evaluate the BCL11A locus in mouse and human primary erythroblasts. We extensively genotype 1,263 samples from the Collaborative Study of Sickle Cell Disease within three HbF-associated erythroid DNase I hypersensitive sites (DHSs) at BCL11A. We pyrosequence heterozygous erythroblasts to assess allele-specific transcription factor binding and gene expression. We conduct transgenic analysis by mouse zygotic microinjection and genome editing with transcription activator-like effector nucleases (TALENs) and clustered, regularly interspaced, short palindromic repeats (CRISPR)/CRISPR-associated nuclease 9 (Cas9) RNA-guided nucleases. Results Common genetic variation at BCL11A associated with HbF level lies in noncoding sequences decorated by an erythroid enhancer chromatin signature. Fine-mapping this putative regulatory DNA uncovers a motif-disrupting common variant associated with reduced GATA1 and TAL1 transcription factor binding, modestly diminished BCL11A expression and elevated HbF. This variant, rs1427407, accounts for the HbF association of the previously reported sentinel SNPs. The composite element functions in vivo as a developmental stage-specific lineage-restricted enhancer. Genome editing reveals that the enhancer is required in erythroid but dispensable in B-lymphoid cells for expression of BCL11A. We demonstrate species-specific functional components of the composite enhancer in mouse as compared to human erythroid precursor cells. The mouse sequences homologous to the human DHS sufficient to drive reporter activity are dispensable from the mouse composite element, whereas the adjacent DHS, whose human homolog does not direct reporter activity, is absolutely required for BCL11A expression. Conclusions We describe a comprehensive and widely applicable approach, including chromatin mapping followed by fine-mapping, allele-specific ChIP and gene expression studies, and functional analyses, to reveal causal variants and critical elements. We assert that functional validation of regulatory DNA ought to include perturbation of the endogenous genomic context by genome editing and not solely rely on in vitro or ectopic surrogate assays. These results validate the hypothesis that common variation modulates cell type-specific regulatory elements, and reveal that although functional variants themselves may be of modest impact, their harboring elements may be critical for appropriate gene expression. We speculate that species-level functional differences in components of the composite enhancer might partially account for differences in timing of globin gene expression among animals. We suggest that the GWAS-marked BCL11A enhancer represents a highly attractive target for therapeutic genome editing for the major b-hemoglobin disorders. Disclosures: No relevant conflicts of interest to declare.

Allele-specific genome editing of disease loci

2016 ◽  
Vol 17 (11) ◽  
pp. 660-660
Author(s):  
Denise Waldron
Keyword(s):  
Genome Editing ◽  
Allele Specific ◽  
Disease Loci

scholarly journals AsCRISPR: a web server for allele-specific sgRNA design in precision medicine

2019 ◽  
Author(s):  
Guihu Zhao ◽  
Jinchen Li ◽  
Yu Tang
Keyword(s):  
Nucleotide Polymorphisms ◽  
Single Nucleotide Variants ◽  
Single Nucleotide ◽  
Guide Rna ◽  
Inherited Diseases ◽  
Bioinformatic Tools ◽  
Point Of Entry ◽  
Allele Specific ◽  
Sgrna Design ◽  
Specific Restriction

AbstractAllele-specific genomic targeting by CRISPR provides a point of entry for personalized gene therapy of dominantly inherited diseases, by selectively disrupting the mutant alleles or disease-causing single nucleotide polymorphisms (SNPs), ideally while leaving normal alleles intact. Moreover, the allele-specific engineering has been increasingly exploited not only in treating inherited diseases and mutation-driven cancers, but also in other important fields such as genome imprinting, haploinsufficiency, genome loci imaging and immunocompatible manipulations. Despite the tremendous utilities of allele-specific targeting by CRISPR, very few bioinformatic tools have been implemented for the allele-specific purpose. We thus developed AsCRISPR (Allele-specific CRISPR), a web tool to aid the design of guide RNA (gRNA) sequences that can discriminate between alleles. It provides users with limited bioinformatics skills to analyze both their own identified variants and heterozygous SNPs deposited in the dbSNP database. Multiple CRISPR nucleases and their engineered variants including newly-developed Cas12b and CasX are included for users’ choice. Meanwhile, AsCRISPR evaluates the on-target efficiencies, specificities and potential off-targets of gRNA candidates, and also displays the allele-specific restriction enzyme sites that might be disrupted upon successful genome edits. In addition, AsCRISPR analyzed with dominant single nucleotide variants (SNVs) retrieved from ClinVar and OMIM databases, and generated a Dominant Database of candidate discriminating gRNAs that may specifically target the alternative allele for each dominant SNV site. A Validated Database was also established, which manually curated the discriminating gRNAs that were experimentally validated in the mounting literatures. AsCRISPR is freely available at http://www.genemed.tech/ascrispr.

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