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General results screen for gene knock-out using the gene elof1 in the Danio rerio genome danRer11 as an example. On the top is the genome view of the gene with identified gRNAs. This view can be toggled left/right and zoomed in/out. The gene model is drawn with the name of each isoform. Thick blue boxes represent exons, thin blue boxes represent untranslated regions, and green lines indicates in-frame start codons. gRNAs are displayed as arrows, with colors matching the scoring. Directionality is indicated by black arrowheads. Immediately below the genome view are options to download all identified gRNA targets (left) or view the results in the UCSC Genome Browser (right). On the bottom is a ranked list of all gRNA targets found, with all features necessary to make an informed decision. Clicking on a gRNA in the list or the graphical representation opens a detailed results view (Fig. 4).
Source publication
The design of optimal guide RNA (gRNA) sequences for CRISPR systems is challenged by the need to achieve highly efficient editing at the desired location (on‐target editing) with minimal editing at unintended locations (off‐target editing). Although laboratory validation should ideally be used to detect off‐target activity, computational prediction...
Contexts in source publication
Context 1
... In the genome locus view of the results (Fig. 3, top), identify a gRNA that fits your ...
Context 2
... Protocols Figure 4 Detailed results view for gRNA rank 4 from Figure 3. The top-left corner summarizes details about the specific gRNA hit. ...
Context 4
... Download the complete list of proposed targets by choosing a preferred format in the "Download results" box ( Fig. 3, 14. Inspect the detailed view (Fig. 4) for important ...
Context 5
... In the genome locus view of the results (Fig. 3, as in Basic Protocol 1), identify a gRNA that fits your ...
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Citations
... First identified as an immune protection system in prokaryotes, the CRISPR system has recently gained widespread attraction for its potential in gene regulation and editing and has thus proved to be a competitive technology in disease diagnostics [42]. CRISPR consists of a Cas protein and a guide RNA (gRNA) which directs Cas to the target site [43]. Researchers can target any gene of interest by changing the gRNA sequence to identify a specific site of interest when configuring the Cas protein to target that specific sequence. ...
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... This recognition allows for precise cutting of the target (cis activity) and nearby nucleic acids (trans activity), enabling accurate sequence-specific editing and detection. Tools for accelerated design of crRNAs-such as PrimeSHERLOCK [47], CHOPCHOP [48], CRISPRdirect [49], CaSilico [50], DeepCRISPR [51], GuideMaker [52], CRISPRscan [53], CRISPR-DT [54], benchling [55] and pathoGD [56]-are now readily available. PathoGD, in particular, has begun incorporating genomic databases into its target design. ...
Purpose of Review
Bacterial infections and antibiotic resistance contribute to global mortality. Despite many infections being preventable and treatable, the lack of reliable and accessible diagnostic tools exacerbates these issues. CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats)-based diagnostics has emerged as a promising solution. However, the development of CRISPR diagnostics has often occurred in isolation, with limited integration of genomic data to guide target selection. In this review, we explore the synergy between bacterial genomics and CRISPR-based point-of-care tests (POCT), highlighting how genomic insights can inform target selection and enhance diagnostic accuracy.
Recent Findings
We review recent advances in CRISPR-based technologies, focusing on the critical role of target sequence selection in improving the sensitivity of CRISPR-based diagnostics. Additionally, we examine the implementation of these technologies in resource-limited settings across Asia and Africa, presenting successful case studies that demonstrate their potential.
Summary
The integration of bacterial genomics with CRISPR technology offers significant promise for the development of effective point-of-care diagnostics.
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... We designed pairs of single guide RNA (sgRNA) 34 to target MIR155HG. Schema of MIR155HG loci identifying the pairs of guide RNAs flanking regions of interest are shown in Figure 1A and genomic PCR primers used to confirm deletion are listed in Supplemental Table 1. ...
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... uib.no), an online tool that offers a wide range of inputs and alignments to minimize search times. This tool is the most authentic and reliable for designing gRNA (Labun et al., 2021). ...
... Upon clicking the "Find Target" button, the tool provides a list of all gRNA sequences present in the selected gene. The user can then select the desired gRNA sequence for their experiment (Labun et al., 2021). ...
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