Exploring the dynamic nature of divalent metal ions involved in DNA cleavage by CRISPR-Cas12a

Engineering stimuli-responsive CRISPR-Cas systems for versatile biosensing

The precise target recognition and nuclease-mediated effective signal amplification capacities of CRISPR-Cas systems have attracted considerable research interest within the biosensing field. Guided by insights into their structural and biochemical mechanisms, researchers have endeavored to engineer the key biocomponents of CRISPR-Cas systems with stimulus-responsive functionalities. By the incorporation of protein/nucleic acid engineering techniques, a variety of conditional CRISPR-Cas systems whose activities depend on the presence of target triggers have been established for the efficient detection of diverse types of non-nucleic acid analytes. In this review, we summarized recent research progress in engineering Cas proteins, guide RNA, and substrate nucleic acids to possess target analyte-responsive abilities for diverse biosensing applications. Furthermore, we also discussed the challenges and future possibilities of the stimulus-responsive CRISPR-Cas systems in versatile biosensing.

Single-molecule perspectives of CRISPR/Cas systems: target search, recognition, and cleavage

CRISPR/Cas systems have emerged as powerful tools for gene editing, nucleic acid detection, and therapeutic applications. Recent advances in single-molecule techniques have provided new insights into the DNA-targeting mechanisms of CRISPR/ Cas systems, in particular, Types I, II, and V. Here, we review how single-molecule approaches have expanded our understanding of key processes, namely target search, recognition, and cleavage. Furthermore, we focus on the dynamic behavior of Cas proteins, including PAM site recognition and R-loop formation, which are crucial to ensure specificity and efficiency in gene editing. Additionally, we discuss the conformational changes and interactions that drive precise DNA cleavage by different Cas proteins. This mini review provides a comprehensive overview of CRISPR/Cas molecular dynamics, offering conclusive insights into their broader potential for genome editing and biotechnological applications. [BMB Reports 2025; 58(1): 8-16].

Unlocking the Full Potential of Cas12a: Exploring the Effects of Substrate and Reaction Conditions on Trans-Cleavage Activity

The trans-cleavage activity of Cas12a has been widely used with various applications. Here, we report that the trans-cleavage activity of Cas12a can be significantly affected by the fluorescent probe length and reaction buffer. The optimal probe length for Cas12a is found to be 15 nucleotides, and the optimal buffer is NEBuffer 4. Compared to the popularly used reaction conditions, the activity of Cas12a is improved by about 50-fold. In addition, the detection limit of Cas12a for DNA targets has been reduced by nearly three orders of magnitude. Our method provides a powerful tool for Cas12a trans-cleavage activity applications.

Deciphering the QR Code of the CRISPR-Cas9 System: Synergy between Gln768 (Q) and Arg976 (R)

Markov state models (MSMs) and machine learning (ML) algorithms can extrapolate the long-time-scale behavior of large biomolecules from molecular dynamics (MD) trajectories. In this study, an MD-MSM-ML scheme has been applied to probe the large endonuclease (Cas9) in the bacterial adaptive immunity CRISPR-Cas9 system. CRISPR has become a programmable and state-of-the-art powerful genome editing tool that has already revolutionized life sciences. CRISPR-Cas9 is programmed to process specific DNA sequences in the genome. However, human/biomedical applications are compromised by off-target DNA damage. Characterization of Cas9 at the structural and biophysical levels is a prerequisite for the development of efficient and high-fidelity Cas9 variants. The Cas9 wild type and two variants (R63A-R66A-R70A, R69A-R71A-R74A-R78A) are studied herein. The configurational space of Cas9 is provided with a focus on the conformations of the side chains of two residues (Gln768 and Arg976). A model for the synergy between those two residues is proposed. The results are discussed within the context of experimental literature. The results and methodology can be exploited for the study of large biomolecules in general and for the engineering of more efficient and safer Cas9 variants for applications.