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Efficient genetic editing of human intestinal organoids using ribonucleoprotein-based CRISPR.
Organoids, combined with genetic editing strategies, have the potential to offer rapid and efficient investigation of gene function in many models of human disease. However, to date, the editing efficiency of organoids with the use of non-viral electroporation methods has only been up to 30%, with implications for the subsequent need for selection, including turnaround time and exhaustion or adaptation of the organoid population. Here, we describe an efficient method for intestinal organoid editing using a ribonucleoprotein-based CRISPR approach. Editing efficiencies of up to 98% in target genes were robustly achieved across different gut anatomical locations and developmental timepoints from multiple patient samples with no observed off-target editing. The method allowed us to study the effect of loss of the tumour suppressor gene PTEN in normal human intestinal cells. Analysis of PTEN-deficient organoids defined phenotypes that likely relate to its tumour suppressive function in vivo, such as a proliferative advantage and increased organoid budding. Transcriptional profiling revealed differential expression of genes in pathways commonly known to be associated with PTEN loss, including mTORC1 activation.
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Induction and Elimination of Prophages Using CRISPR Interference.
Prophages are widely spread among bacterial genomes, and they can have positive or negative effects on their hosts. A key aspect in the study of prophages is the discovery of their induction signals. Prophage induction can occur by inactivating a phage transcriptional repressor, which is responsible for maintaining the lysogenic state. This repressor can be inactivated through the bacterial SOS response. However, the induction signals for numerous prophages do not involve the SOS system, and therefore significant efforts are needed to identify these conditions. Similarly, curing bacterial strains of inducible prophages is a tedious process, requiring the screening of several colonies. Here, we investigated whether transcriptional silencing of a prophage repressor using CRISPR interference (CRISPRi) would lead to prophage induction. Using Escherichia coli phages λ and P2 as models, we demonstrated the efficiency of CRISPRi for prophage induction and for curing lysogenic strains of their prophages.
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CRISPR-Switch regulates sgRNA activity by Cre recombination for sequential editing of two loci.
CRISPR-Cas9 is an efficient and versatile tool for genome engineering in many species. However, inducible CRISPR-Cas9 editing systems that regulate Cas9 activity or sgRNA expression often suffer from significant limitations, including reduced editing capacity, off-target effects, or leaky expression. Here, we develop a precisely controlled sgRNA expression cassette that can be combined with widely-used Cre systems, termed CRISPR-Switch (SgRNA With Induction/Termination by Cre Homologous recombination). Switch-ON facilitates controlled, rapid induction of sgRNA activity. In turn, Switch-OFF-mediated termination of editing improves generation of heterozygous genotypes and can limit off-target effects. Furthermore, we design sequential CRISPR-Switch-based editing of two loci in a strictly programmable manner and determined the order of mutagenic events that leads to development of glioblastoma in mice. Thus, CRISPR-Switch substantially increases the versatility of gene editing through precise and rapid switching ON or OFF sgRNA activity, as well as switching OVER to secondary sgRNAs.
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Next-generation technologies for studying host-pathogen interactions: a focus on dual transcriptomics, CRISPR/Cas9 screening and organs-on-chips.
Pathogens constantly interact with their hosts and the environment, and therefore have evolved unique virulence mechanisms to target and breach host defense barriers and manipulate host immune response to establish an infection. Advances in technologies that allow genome mining, gene editing such as CRISPR/Cas9, genomic, epigenomic and transcriptomic studies such as dual RNA-seq, coupled with bioinformatics, have accelerated the field of host-pathogen interactions within a broad range of infection models. Underpinning of the molecular changes that accompany invasion of eukaryotic cells with pathogenic microorganisms at the intersection of host, pathogen and their local environment has provided a better understanding of infectious disease mechanisms and antimicrobial strategies. The recent evolution of physiologically relevant three-dimensional (3-D) tissue/organ models and microfluidic organ-on-chip devices also provided a window to a more predictive framework of infectious disease processes. These approaches combined hold the potential to highly impact discovery of novel drug targets and vaccine candidates of the future. Here, we review three of the available and emerging technologies-dual RNA-seq, CRISPR/Cas9 screening and organs-on-chips, applicable to the high throughput study and deciphering of interaction networks between pathogens and their hosts that are critical for the development of novel therapeutics.
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Plant Genome Editing Using FnCpf1 and LbCpf1 Nucleases at Redefined and Altered PAM Sites.
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CRISPR-Cas genome engineering of esterase activity in Saccharomyces cerevisiae steers aroma formation.
OBJECTIVE: Saccharomyces cerevisiae is used worldwide for the production of ale-type beers. This yeast is responsible for the production of the characteristic fruity aroma compounds. Esters constitute an important group of aroma active secondary metabolites produced by S. cerevisiae. Previous work suggests that esterase activity, which results in ester degradation, may be the key factor determining the abundance of fruity aroma compounds. Here, we test this hypothesis by deletion of two S. cerevisiae esterases, IAH1 and TIP1, using CRISPR-Cas9 genome editing and by studying the effect of these deletions on esterase activity and extracellular ester pools. RESULTS: Saccharomyces cerevisiae mutants were constructed lacking esterase IAH1 and/or TIP1 using CRISPR-Cas9 genome editing. Esterase activity using 5-(6)-carboxyfluorescein diacetate (cFDA) as substrate was found to be significantly lower for ΔIAH1 and ΔIAH1ΔTIP1 mutants compared to wild type (WT) activity (P < 0.05 and P < 0.001, respectively). As expected, we observed an increase in relative abundance of acetate and ethyl esters and an increase in ethyl esters in ΔIAH1 and ΔTIP1, respectively. Interestingly, the double gene disruption mutant ΔIAH1ΔTIP1 showed an aroma profile comparable to WT levels, suggesting the existence and activation of a complex regulatory mechanism to compensate multiple genomic alterations in aroma metabolism.
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CRISPR-GEM: A Novel Machine Learning Model for CRISPR Genetic Target Discovery and Evaluation.
CRISPR gene editing strategies are shaping cell therapies through precise and tunable control over gene expression. However, limitations in safely delivering high quantities of CRISPR machinery demand careful target gene selection to achieve reliable therapeutic effects. Informed target gene selection requires a thorough understanding of the involvement of target genes in gene regulatory networks (GRNs) and thus their impact on cell phenotype. Effective decoding of these complex networks has been achieved using machine learning models, but current techniques are limited to single cell types and focus mainly on transcription factors, limiting their applicability to CRISPR strategies. To address this, we present CRISPR-GEM, a multilayer perceptron (MLP) based synthetic GRN constructed to accurately predict the downstream effects of CRISPR gene editing. First, input and output nodes are identified as differentially expressed genes between defined experimental and target cell/tissue types, respectively. Then, MLP training learns regulatory relationships in a black-box approach allowing accurate prediction of output gene expression using only input gene expression. Finally, CRISPR-mimetic perturbations are made to each input gene individually, and the resulting model predictions are compared to those for the target group to score and assess each input gene as a CRISPR candidate. The top scoring genes provided by CRISPR-GEM therefore best modulate experimental group GRNs to motivate transcriptomic shifts toward a target group phenotype. This machine learning model is the first of its kind for predicting optimal CRISPR target genes and serves as a powerful tool for enhanced CRISPR strategies across a range of cell therapies.
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Inside Job: Methods for Delivering Proteins to the Interior of Mammalian Cells.
Currently, 7 of the top 10 selling drugs are biologics, and all of them are proteins. Their large size, structural complexity, and molecular diversity often results in surfaces capable of potent and selective recognition of receptors that challenge, or evade, traditional small molecules. However, most proteins do not penetrate the lipid bilayer exterior of mammalian cells. This severe limitation dramatically limits the number of disease-relevant receptors that proteins can target and modulate. Given the major role proteins play in modern medicine, and the magnitude of this limitation, it is unsurprising that an enormous amount of effort has been dedicated to overcoming this pesky impediment. In this article, we summarize and evaluate current approaches for intracellular delivery of exogenous proteins to mammalian cells and, in doing so, aim to illuminate fertile ground for future discovery in this critical area of research.
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Novel off-Targeting Events Identified after Genome Wide Analysis of CRISPR-Cas Edited Pigs.
CRISPR-Cas technology has transformed our ability to introduce targeted modifications, allowing unconventional animal models such as pigs to model human diseases and improve its value for food production. The main concern with using the technology is the possibility of introducing unwanted modifications in the genome. In this study, we illustrate a pipeline to comprehensively identify off-targeting events on a global scale in the genome of three different gene-edited pig models. Whole genome sequencing paired with an off-targeting prediction software tool filtered off-targeting events amongst natural variations present in gene-edited pigs. This pipeline confirmed two known off-targeting events in IGH knockout pigs, AR and RBFOX1, and identified other presumably off-targeted loci. Independent validation of the off-targeting events using other gene-edited DNA confirmed two novel off-targeting events in RAG2/IL2RG knockout pig models. This unique strategy offers a novel tool to detect off-targeting events in genetically heterogeneous species after genome editing.
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Viral genome editing methods and applications in the CRISPR era.
CRISPR-Cas systems have transformed viral genetics by enabling precise and efficient manipulation of large DNA virus genomes. This review provides a practical framework for applying CRISPR technology to herpesviruses and other large DNA viruses as an alternative and complement to traditional BAC recombination. Key considerations include nuclease choice; sgRNA design that minimizes cut-to-edit distance and prevents re-cutting; donor template configuration and homology arm length; and synchronized delivery of Cas complexes and donor DNA. Strategies to promote HDR efficiency, such as the use of small-molecule modulators, are also summarized. In addition, practical workflows for clone selection, genotypic validation, and phenotypic confirmation are summarized. Case studies in herpes simplex virus type 1 and human cytomegalovirus illustrate how optimized CRISPR designs achieve reproducible, scarless knock-ins and conditional gene manipulation at essential loci without complementing cell lines. Together, these approaches establish CRISPR as a flexible, scalable platform for functional genomics, antiviral target discovery, and translational virology, enabling direct editing of clinical isolates previously inaccessible with bacterial artificial chromosome-based methods.
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