CRISPR Journal最新文献

The clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 system has revolutionized targeted mutagenesis, but screening for mutations in large sample pools can be time-consuming and costly. We present an efficient and cost-effective polymerase chain reaction (PCR)-based strategy for identifying edited mutants in the T₁ generation. Unlike previous methods, our approach addresses the challenges of large progeny populations by using T₀ generation sequencing results for genotype prediction. The T₁ generation plants were then divided into two scenarios: ≥4 bp indels and 1-2 bp indels. Specific primers are designed for these categories, employing dual-primers critical annealing temperature PCR for ≥4 bp indels and the derived cleaved amplified polymorphic sequences (dCAPS) method for 1-2 bp indels. This method is straightforward, cost-effective, and allows rapid and precise identification of T₁ editing outcomes, distinguishing between wild-type, heterozygous, and homozygous plants. This strategy accelerates gene functional analysis in plants and beyond.

Bacteria and archaea acquire resistance to genetic parasites by preferentially integrating short fragments of foreign DNA at one end of a Clustered Regularly Interspaced Short Palindromic Repeat (CRISPR). "Leader" DNA upstream of CRISPR loci regulates transcription and foreign DNA integration into the CRISPR. Here, we analyze 37,477 CRISPRs from 39,277 bacterial and 556 archaeal genomes to identify conserved sequence motifs in CRISPR leaders. A global analysis of all leader sequences fails to identify universally conserved motifs. However, an analysis of leader sequences that have been grouped by 16S rRNA-based taxonomy and CRISPR subtype reveals 87 specific motifs in type I, II, III, and V CRISPR leaders. Fourteen of these leader motifs have biochemically demonstrated roles in CRISPR biology including integration, transcription, and CRISPR RNA processing. Another 28 motifs are related to DNA binding sites for proteins with functions that are consistent with regulating CRISPR activity. In addition, we show that these leader motifs can be used to improve existing CRISPR detection methods and enhance the accuracy of CRISPR classification.

Clustered regularly interspaced short palindromic repeats (CRISPR)-CRISPR-associated protein (Cas) technology has revolutionized genome editing across various biological systems, including the Apicomplexa phylum. This review describes the status, challenges, and applications of CRISPR-Cas9 editing technology in apicomplexan parasites, such as Plasmodium, Toxoplasma, Theileria, Babesia, and Cryptosporidium. The discussion encompasses successfully implemented CRISPR-Cas9-based techniques in these parasites, highlighting the achieved milestones, from precise gene modifications to genome-wide screening. In addition, the review addresses the challenges hampering efficient genome editing, including the parasites' complex life cycles, multiple intracellular stages, and the lack of robust genetic tools. It further explores the ethical and policy considerations surrounding genome editing and the future perspectives of CRISPR-Cas applications in apicomplexan parasites.

Genome-wide genetic screens using CRISPR-guide RNA libraries are widely performed in mammalian cells to functionally characterize individual genes and for the discovery of new anticancer therapeutic targets. As the effectiveness of such powerful and precise tools for cancer pharmacogenomics is emerging, tools and methods for their quality assessment are becoming increasingly necessary. Here, we provide an R package and a high-quality reference data set for the assessment of novel experimental pipelines through which a single calibration experiment has been executed: a screen of the HT-29 human colorectal cancer cell line with a commercially available genome-wide library of single-guide RNAs. This package and data allow experimental researchers to benchmark their screens and produce a quality-control report, encompassing several quality and validation metrics. The R code used for processing the reference data set, for its quality assessment, as well as to evaluate the quality of a user-provided screen, and to reproduce the figures presented in this article is available at https://github.com/DepMap-Analytics/HT29benchmark. The reference data is publicly available on FigShare.

Wildlife diseases are a considerable threat to human health, conservation, and the economy. Surveillance is a critical component to mitigate the impact of animal diseases in these sectors. To monitor human diseases, CRISPR-Cas (clustered regularly interspaced short palindromic repeats-CRISPR-associated protein) biosensors have proven instrumental as diagnostic tools capable of detecting unique DNA and RNA sequences related to their associated pathogens. However, despite the significant advances in the general development of CRISPR-Cas biosensors, their use to support wildlife disease management is lagging. In some cases, wildlife diseases of concern could be rapidly surveyed using these tools with minimal technical, operational, or cost requirements to end users. This review explores the potential to further leverage this technology to advance wildlife disease monitoring and highlights how concerted standardization of protocols can help to ensure data reliability.