Genetic Code Research Articles

Identification of a novel mitovirus in grapevine through high-throughput sequencing.

Transcriptome data from a plant sample frequently include numerous reads originating from RNA virus genomes that were concurrently isolated during RNA preparation. These high-throughput sequencing reads from the virus can be assembled to form a new sequence for the plant RNA genome. Here, we identify putative novelmitovirus, grapevine mitovirus 1 (GMV1) through high-throughput sequencing (HTS) of grapevine rootstocks (Vitis spp.), and the identified virus was confirmed using virus-specific primers in RT-PCR assay. The genomic RNA of GMV1 encodes complete open reading frame (ORF) of 2,496 nucleotides (nts) in length. RNA-dependent RNA polymerase (RdRp) encoded by the viral genome contained one RdRp conserved domain. BLASTx analysis of GMV1 genome showed sequence identity of 33.18-56.75% with the existingmitovirus sequences. Phylogenetic analysis based on genome sequences showed thatGMV1 clustered in a distinct clade to other mitoviruses. Grapevine mitovirus 1 represents a newly discovered species within the Unuamitovirus genus of the Mitoviridae family, targeting fungal mitochondria. While the majority of recognized mitoviruses typically lack a functional RdRp as per the plant mitochondrial genetic code,GMV1 encodes a complete RdRp in accordance with both fungal and plant mitochondrial genetic codes.

Molecular characterization of a novel mitovirus from the plant-pathogenic fungus Nigrospora oryzae.

Here, we characterized a novel mitovirus from the fungus Nigrospora oryzae, which was named "Nigrospora oryzae mitovirus 3" (NoMV3). The NoMV3 genome is 2,492 nt in length with a G + C content of 33%, containing a single large open reading frame (ORF) using the fungal mitochondrial genetic code. The ORF encodes an RNA-dependent RNA polymerase (RdRp) of 775 amino acids with a molecular mass of 88.75 kDa. BLASTp analysis revealed that the RdRp of NoMV3 had 68.6%, 50.6%, and 48.6% sequence identity to those of Nigrospora oryzae mitovirus 2, Suillus luteus mitovirus 6, and Fusarium proliferatum mitovirus 3, respectively, which belong to the genus Unuamitovirus within the family Mitoviridae. Phylogenetic analysis based on amino acid sequences supported the classification of NoMV3 as a member of a new species in the genus Unuamitovirus within the family Mitoviridae.

Advanced and Safe Synthetic Microbial Chassis with Orthogonal Translation System Integration.

Through the use of CRISPR-assisted transposition, we have engineered a safe Escherichia coli chassis that integrates an orthogonal translation system (OTS) directly into the chromosome. This approach circumvents the limitations and genetic instability associated with conventional plasmid vectors. Precision in genome modification is crucial for the top-down creation of synthetic cells, especially in the orthogonalization of vital cellular processes, such as metabolism and protein translation. Here, we targeted multiple loci in the E. coli chromosome to integrate the OTS simultaneously, creating a synthetic auxotrophic chassis with an altered genetic code to establish a reliable, robust, and safe synthetic protein producer. Our OTS-integrated chassis enabled the site-specific incorporation of m-oNB-Dopa through in-frame amber stop codon readthrough. This allowed for the expression of advanced underwater bioglues containing Dopa-Lysine motifs, which are crucial for wound healing and tissue regeneration. Additionally, we have enhanced the expression process by incorporating scaffold-stabilizing fluoroprolines into bioglues, utilizing our chassis, which has been modified through metabolic engineering (i.e., by introducing proline auxotrophy). We also engineered a synthetic auxotroph reliant on caged Dopa, creating a genetic barrier (genetic firewall) between the synthetic cells and their surroundings, thereby boosting their stability and safety.

The innate story code

Code biology reveals a great many codes beyond the genetic code as integral to biological functioning. Recent scholars have linked the growing field of code biology to analytical psychology, confirming that the encoded information inherited by the human organism is indeed massive and capable of great sophistication. In this discussion, I will expand on this project by showing how developments in embodied cognition reveal a code that links the world of universal emotional responses to common experiences to the world of embodied visuospatial narratives--i.e., the “archetypes” of analytical psychology. Viewed in this manner, archetypes become spontaneous symbolic narratives that symbolize universal emotional responses to typical human environments. Such symbolic narratives aim toward adaptation, and use a universal code that maps such situations to visuospatial narratives, with the adaptor being the human body itself.

TIRR regulates mRNA export and association with P-bodies in response to DNA damage.

To ensure the integrity of our genetic code, a coordinated network of signalling and repair proteins, known as the DNA damage response (DDR), detects and repairs DNA insults, the most toxic being double-strand breaks (DSBs). Tudor interacting repair regulator (TIRR) is a key factor in DSB repair, acting through its interaction with p53 binding protein 1 (53BP1). TIRR is also an RNA binding protein, yet its role in RNA regulation during the DDR remains elusive. Here, we show that TIRR selectively binds to a subset of messenger RNAs (mRNAs) in response to DNA damage. Upon DNA damage, TIRR interacts with the nuclear export protein Exportin-1 through a nuclear export signal. Furthermore, TIRR plays a crucial role in the modulation of RNA processing bodies (PBs). TIRR itself and TIRR-bound RNA co-localize with PBs, and TIRR depletion results in nuclear RNA retention and impaired PB formation. We also suggest a potential link between TIRR-regulated RNA export and efficient DDR. This work reveals intricate involvement of TIRR in orchestrating mRNA nuclear export and storage within PBs, emphasizing its significance in the regulation of RNA-mediated DDR.

Cracking the Code: Reprogramming the Genetic Script in Prokaryotes and Eukaryotes to Harness the Power of Noncanonical Amino Acids.

Over 500 natural and synthetic amino acids have been genetically encoded in the last two decades. Incorporating these noncanonical amino acids into proteins enables many powerful applications, ranging from basic research to biotechnology, materials science, and medicine. However, major challenges remain to unleash the full potential of genetic code expansion across disciplines. Here, we provide an overview of diverse genetic code expansion methodologies and systems and their final applications in prokaryotes and eukaryotes, represented by Escherichia coli and mammalian cells as the main workhorse model systems. We highlight the power of how new technologies can be first established in simple and then transferred to more complex systems. For example, whole-genome engineering provides an excellent platform in bacteria for enabling transcript-specific genetic code expansion without off-targets in the transcriptome. In contrast, the complexity of a eukaryotic cell poses challenges that require entirely new approaches, such as striving toward establishing novel base pairs or generating orthogonally translating organelles within living cells. We connect the milestones in expanding the genetic code of living cells for encoding novel chemical functionalities to the most recent scientific discoveries, from optimizing the physicochemical properties of noncanonical amino acids to the technological advancements for their in vivo incorporation. This journey offers a glimpse into the promising developments in the years to come.

Engineering of Recombinant Human Papillomavirus 16 L1 Protein for Incorporation with para-Azido-L-Phenylalanine.

Human papillomavirus (HPV) L1 capsid protein were produced in several host systems, but few studies have focused on enhancing the properties of the L1 protein. In this study, we aimed to produce recombinant Human papillomavirus (HPV) L1 capsid protein containing para-azido-L-phenylalanine (pAzF) in Escherichia coli. First, we expressed the maltose-binding protein (MBP)-fused HPV16 L1, and 5 residues in HPV16 L1 protein were selected by the in silico modeling for amber codon substitution. Among the variants of the five locations, we identified a candidate that exhibited significant differences in expression with and without pAzF via genetic code expansion (GCE). The expressed recombinant MBP-HPV16L1 protein was confirmed for incorporation of pAzF and the formation of VLPs was tested in vitro.

Designing a Novel Temperature- and Noncanonical Amino Acid-Controlled Biological Logic Gate in Escherichia coli.

Genetic code expansion (GCE) is a powerful strategy that expands the genetic code of an organism for incorporating noncanonical amino acids into proteins using engineered tRNAs and aminoacyl-tRNA synthetases (aaRSs). While GCE has opened up new possibilities for synthetic biology, little is known about the potential side effects of exogenous aaRS/tRNA pairs. In this study, we investigated the impact of exogenous aaRS and amber suppressor tRNA on gene expression in Escherichia coli. We discovered that in DH10β ΔcyaA, transformed with the F1RP/F2P two-hybrid system, the high consumption rate of cellular adenosine triphosphate by exogenous aaRS/tRNA at elevated temperatures induces temperature sensitivity in the expression of genes regulated by the cyclic AMP receptor protein (CRP). We harnessed this temperature sensitivity to create a novel biological AND gate in E. coli, responsive to both p-benzoylphenylalanine (BzF) and low temperature, using a BzF-dependent variant of E. coli chorismate mutase and split subunits of Bordetella pertussis adenylate cyclase. Our study provides new insights into the unexpected effects of exogenous aaRS/tRNA pairs and offers a new approach for constructing a biological logic gate.

Breaking the Degeneracy of Sense Codons – How Far Can We Go?

AbstractGenetic code expansion aims to incorporate non‐canonical amino acids (ncAAs) into biological systems, enhancing protein functionality or enabling the in vitro selection of peptides from diverse mRNA displayed libraries. Typically, genetic code expansion has involved reassignment of stop codons to ncAAs through orthogonal translation systems. This review instead focuses on efforts to expand the genetic code by breaking the redundancy of sense codons in vitro and in vivo. In vivo, orthogonal aminoacyl‐tRNA synthetase (AARS)/tRNA/AA systems are able to compete with endogenous machinery, enabling partial to full codon reassignment. Recent approaches, like genome recoding, offer potential solutions to reduce competition. In vitro studies utilize cell extract‐based or reconstituted translation systems, allowing precise control of codon usage via gene design and tRNA addition, making breaking of sense degeneracy easier. In these systems several unsplit codon boxes have been successfully reassigned multiple to ncAAs. These efforts showcase both the successes and challenges in achieving orthogonality and selective codon decoding and point towards a future where the 64 codons can encode more than 30 monomers, enabling new advances in synthetic biology and drug discovery.

Impact of the chemical modification of tRNAs anticodon loop on the variability and evolution of codon usage in proteobacteria.

Despite the highly conserved nature of the genetic code, the frequency of usage of each codon can vary significantly. The evolution of codon usage is shaped by two main evolutionary forces: mutational bias and selection pressures. These pressures can be driven by environmental factors, but also by the need for efficient translation, which depends heavily on the concentration of transfer RNAs (tRNAs) within the cell. The data presented here supports the proposal that tRNA modifications play a key role in shaping the overall preference of codon usage in proteobacteria. Interestingly, some codons, such as CGA and AGG (encoding arginine), exhibit a surprisingly low level of variation in their frequency of usage, even across genomes with differing GC content. These findings suggest that the evolution of GC content in proteobacterial genomes might be primarily driven by changes in the usage of a specific subset of codons, whose usage is itself influenced by tRNA modifications.

Abstract We084: Deciphering the Molecular Code Underlining Postnatal Cardiomyocyte Maturation by an RNA Splicing Factor RBFox1

Mammalian hearts undergo major changes after birth during the perinatal period. While several extrinsic factors such as mechanical load, electrical stimulation, hormones, and nutrients have been implicated in this process, the intrinsic regulatory circuit governing cardiomyocyte postnatal maturation is largely unknown. Importantly, stem-cell derived cardiomyocytes commonly exhibit immaturity which is a major limiting factor for their application as disease models or cell therapy agents. Therefore, uncovering the intrinsic regulatory mechanism of mammalian cardiomyocyte maturation has significant implications in both basic cardiac biology and cell-based therapy and disease modeling. In our recent analysis of the global transcriptome transition from neonatal to adult rat hearts, we found RNA splicing among the top changed pathways. Additionally, we found that expression of RBFox1, a cardiac enriched RNA splicing regulator, was significantly increased during the postnatal transition to adolescence. We further demonstrate that RBFox1 mediated post-transcriptional regulation has a potent effect to promote neonatal and stem-cell derived cardiomyocyte maturation. RNA-seq followed by Gene Ontology enrichment analysis showed that Rbfox1 led to differentially expressed genes enriched in cardiac contraction and conduction, sarcomere organization, K + ion import and muscle filament sliding, as well as differential isoform switches enriched in cardiac contraction and sarcomere structure. An evolutionarily conserved, temporal specific super enhancer exists upstream of cardiac Rbfox1 , which is occupied by active epigenetic markers in the postnatal period. We have identified the tissue and temporal transcriptional activity of this super enhancer in vitro and in vivo . Several binding motifs of transcription factors are predicted within it and a key DNA fragment was identified to be essential for enhancer activity. A transgenic mouse strain has been established to facilitate the tracing of myocyte maturation in vivo by constructing a reporter system driven by a 4xSuperEnhancer-Rbfox1Promoter-tdTomato construct. In conclusion, we propose a mechanism that RBFox1 is an intracellular regulator with tissue- and temporal-specific expression patterns that regulates cardiac maturation by promoting alternative splicing that fine tunes the genetic code.

Probing Ferryl Reactivity in a Nonheme Iron Oxygenase Using an Expanded Genetic Code.

The ability to introduce noncanonical amino acids as axial ligands in heme enzymes has provided a powerful experimental tool for studying the structure and reactivity of their FeIV=O ("ferryl") intermediates. Here, we show that a similar approach can be used to perturb the conserved Fe coordination environment of 2-oxoglutarate (2OG) dependent oxygenases, a versatile class of enzymes that employ highly-reactive ferryl intermediates to mediate challenging C-H functionalizations. Replacement of one of the cis-disposed histidine ligands in the oxygenase VioC with a less electron donating N δ-methyl-histidine (MeHis) preserves both catalytic function and reaction selectivity. Significantly, the key ferryl intermediate responsible for C-H activation can be accumulated in both the wildtype and the modified protein. In contrast to heme enzymes, where metal-oxo reactivity is extremely sensitive to the nature of the proximal ligand, the rates of C-H activation and the observed large kinetic isotope effects are only minimally affected by axial ligand replacement in VioC. This study showcases a powerful tool for modulating the coordination sphere of nonheme iron enzymes that will enhance our understanding of the factors governing their divergent activities.

Protein-Protein Interface Identification by Site-Specific Photo-Cross-linking/Cleavage in Mammalian Cells.

Identification of protein-protein interfaces is necessary for understanding and regulating biological events. Genetic code expansion enables site-specific photo-cross-linking by introducing photo-reactive non-canonical amino acids into proteins at defined positions during translation. This technology is widely used for analyzing protein-protein interactions and is applicable in mammalian cells. However, the identification of the cross-linked region still remains challenging. Our new protocol enables its identification by pre-installing a site-specific cleavage site, an α-hydroxy acid (Nε-allyloxycarbonyl-α-hydroxyl-L-lysine acid, AllocLys-OH), into the target protein. Alkaline treatment cleaves the crosslinked complex at the position of the α-hydroxy acid residue and thus helps to identify which side of the cleavage site, either closer to the N-terminus or C-terminus, the crosslinked site is located on within the target protein. A series of AllocLys-OH introductions narrows down the crosslinked region. This combination of site-specific crosslinking and cleavage promises to be useful for revealing binding interfaces and protein complex geometries. © 2024 Wiley Periodicals LLC. Basic Protocol 1: Search for crosslinkable sites Basic Protocol 2: Site-specific photo-cross-linking/cleavage.

A Genetic Causal Explainer for Deep Knowledge Tracing

Knowledge tracing (KT) has become an increasingly relevant problem in intelligent education services. Deep learning-based knowledge tracing (DLKT) achieves superb performance in terms of prediction accuracy, but it lacks of explainability, which makes us hard to trust or understand models. The previous work on explaining DLKT was mainly based on gradients or attention scores, which is susceptible to spurious correlations, reducing the credibility of the explanation. To address this limitation, in this paper, we propose a causal explanation method based on the genetic algorithm (GA), named Genetic Causal Explainer(GCE), which constructs a causal framework to estimate the attribution of subsequence to the predictions of DLKT models, and a genetic coding system is designed. Further, A multi-strategy initialization method inspired by domain prior knowledge is proposed, and a global empirical matrix is introduced to capture the causal correlation knowledge during the search process across instances, and guiding the mutation operators. The GCE as a post hoc explanation method can generate explanation results without affecting model training, and can be applied to analyze different DLKT models. Experimental results demonstrate the GCE perform better than other explanation methods in terms of accuracy and readability in quantitative assessments. Meanwhile, the GCE also shows good application prospects in mining educational laws and comparing KT models.

Evolution of the Genetic Code in the Ascoideales (CUG-Ser2) Yeast Clade: The Ancestral tRNA-Leu(CAG) Gene Is Retained in Most Saccharomycopsis Species but Is Nonessential and Not Used for Translation.

In the yeast genera Saccharomycopsis and Ascoidea, which comprise the taxonomic order Ascoideales, nuclear genes use a nonstandard genetic code in which CUG codons are translated as serine instead of leucine, due to a tRNA-Ser with the unusual anticodon CAG. However, some species in this clade also retain an ancestral tRNA-Leu gene with the same anticodon. One of these species, Ascoidea asiatica, has been shown to have a stochastic proteome in which proteins contain ∼50% Ser and 50% Leu at CUG codon sites, whereas previously examined Saccharomycopsis species translate CUG only as Ser. Here, we investigated the presence, conservation, and possible functionality of the tRNA-Leu(CAG) gene in the genus Saccharomycopsis. We sequenced the genomes of 23 strains that, together with previously available data, include almost every known species of this genus. We found that most Saccharomycopsis species have genes for both tRNA-Leu(CAG) and tRNA-Ser(CAG). However, tRNA-Leu(CAG) has been lost in Saccharomycopsis synnaedendra and Saccharomycopsis microspora, and its predicted cloverleaf structure is aberrant in all the other Saccharomycopsis species. We deleted the tRNA-Leu(CAG) gene of Saccharomycopsis capsularis and found that it is not essential. Proteomic analyses in vegetative and sporulating cultures of S. capsularis and Saccharomycopsis fermentans showed only translation of CUG as Ser. Despite its unusual structure, the tRNA-Leu(CAG) gene shows evidence of sequence conservation among Saccharomycopsis species, particularly in its acceptor stem and leucine identity elements, which suggests that it may have been retained in order to carry out an unknown nontranslational function.

Precision oncology revolution: CRISPR-Cas9 and PROTAC technologies unleashed.

Cancer continues to present a substantial global health challenge, with its incidence and mortality rates persistently reflecting its significant impact. The emergence of precision oncology has provided a breakthrough in targeting oncogenic drivers previously deemed "undruggable" by conventional therapeutics and by limiting off-target cytotoxicity. Two groundbreaking technologies that have revolutionized the field of precision oncology are primarily CRISPR-Cas9 gene editing and more recently PROTAC (PROteolysis TArgeting Chimeras) targeted protein degradation technology. CRISPR-Cas9, in particular, has gained widespread recognition and acclaim due to its remarkable ability to modify DNA sequences precisely. Rather than editing the genetic code, PROTACs harness the ubiquitin proteasome degradation machinery to degrade proteins of interest selectively. Even though CRISPR-Cas9 and PROTAC technologies operate on different principles, they share a common goal of advancing precision oncology whereby both approaches have demonstrated remarkable potential in preclinical and promising data in clinical trials. CRISPR-Cas9 has demonstrated its clinical potential in this field due to its ability to modify genes directly and indirectly in a precise, efficient, reversible, adaptable, and tissue-specific manner, and its potential as a diagnostic tool. On the other hand, the ability to administer in low doses orally, broad targeting, tissue specificity, and controllability have reinforced the clinical potential of PROTAC. Thus, in the field of precision oncology, gene editing using CRISPR technology has revolutionized targeted interventions, while the emergence of PROTACs has further expanded the therapeutic landscape by enabling selective protein degradation. Rather than viewing them as mutually exclusive or competing methods in the field of precision oncology, their use is context-dependent (i.e., based on the molecular mechanisms of the disease) and they potentially could be used synergistically complementing the strengths of CRISPR and vice versa. Herein, we review the current status of CRISPR and PROTAC designs and their implications in the field of precision oncology in terms of clinical potential, clinical trial data, limitations, and compare their implications in precision clinical oncology.

CD11b suppresses TLR7-driven inflammatory signaling to protect against lupus nephritis.

Lupus Nephritis (LN) is a severe complication of systemic lupus erythematosus (SLE) that affects kidney function. Here, we investigated the role of CD11b, a protein encoded by the ITGAM gene, in the development of LN and its functional activation as a therapeutic strategy. Genetic coding variants of ITGAM significantly increase the risk for SLE and LN by producing a less active CD11b and leading to elevated levels of type I interferon (IFN I). However, a molecular mechanism for how these variants increase LN risk has been unclear. Here, we determined that these variants also significantly associate with elevations in soluble urokinase plasminogen activator receptor (suPAR), a known biomarker linked to kidney disease, suggesting a novel molecular connection. Pharmacologic activation of CD11b with a novel, clinical-stage agonist ONT01 significantly suppressed suPAR production in myeloid cells and reduced systemic inflammation and kidney damage in multiple experimental models of LN. Importantly, delaying treatment with ONT01 until after disease onset also significantly reduced serum suPAR and inflammatory cytokines, and decreased immune complex deposition in the glomerulus, glomerulonephritis and albuminuria, suggesting that CD11b activation is therapeutic for LN. Genetic activation of CD11b via a gain-of-function CD11b mutation also showed complete protection from LN, whereas genetic deletion of CD11b worsened the disease in mice, providing further evidence of the role of CD11b activation in regulating LN. Finally, transfer of human LN PBMCs generated human LN like disease in mice that was significantly reduced by ONT01. Together, these data provide strong evidence that ONT01 mediated CD11b activation can therapeutically modulate TLR7-driven inflammation and protect against LN. These findings support clinical development of CD11b agonists as novel therapeutics for treating lupus nephritis in human patients.

Exploring genetic codon expansion for unnatural amino acid incorporation in filamentous fungus Aspergillus nidulans

Genetic code expansion technology allows the incorporation of unnatural amino acids (UAAs) into proteins, which is useful in protein engineering, synthetic biology, and gene therapy. Despite its potential applications in various species, filamentous fungi remain unexplored. This study aims to address this gap by developing these techniques in Aspergillus nidulans. We introduced an amber stop codon into a specific sequence within the reporter gene expressed in A. nidulans and replaced the anticodon of the fungal tRNATyr with CUA. This resulted in the synthesis of the target protein, confirming the occurrence of amber suppression in the fungus. When exogenous E. coli tRNATyrCUA (Ec. tRNATyrCUA) and E. coli tyrosyl-tRNA (Ec.TyrRS) were introduced into A. nidulans, they successfully synthesized the target protein via amber suppression and were shown to be orthogonal to the fungal translation system. By replacing the wild-type Ec.TyrRS with a mutant with a higher affinity for the UAA O-methyl-L-tyrosine, the fungal system was able to initiate the synthesis of the UAA-labeled protein (UAA-protein). We further increased the expression level of the UAA-protein through several rational modifications. The successful development of a genetic code expansion technique for A. nidulans has introduced a potentially valuable approach to the study of fungal protein structure and function.

Homocysteine Thiolactone Detoxifying Enzymes and Alzheimer's Disease.

Elevated levels of homocysteine (Hcy) and related metabolites are associated with Alzheimer's disease (AD). Severe hyperhomocysteinemia causes neurological deficits and worsens behavioral and biochemical traits associated with AD. Although Hcy is precluded from entering the Genetic Code by proofreading mechanisms of aminoacyl-tRNA synthetases, and thus is a non-protein amino acid, it can be attached to proteins via an N-homocysteinylation reaction mediated by Hcy-thiolactone. Because N-homocysteinylation is detrimental to a protein's function and biological integrity, Hcy-thiolactone-detoxifying enzymes-PON1, BLMH, BPHL-have evolved. This narrative review provides an account of the biological function of these enzymes and of the consequences of their impairments, leading to the phenotype characteristic of AD. Overall, accumulating evidence discussed in this review supports a hypothesis that Hcy-thiolactone contributes to neurodegeneration associated with a dysregulated Hcy metabolism.

Quantum word embedding for machine learning

The accelerated progress in quantum computing has enabled a new form of machine intelligence that runs on quantum hardware, which holds great promise for more powerful computational models in various learning tasks. An emergent application of Quantum Machine Intelligence (QMI) is Quantum Natural Language Processing (QNLP). This paper proposes a multi-dimensional, finite automaton model for quantum word embedding (QWE) via the Galois field. We demonstrated the model to three applications: (1) English vocabulary, (2) amino acid-based genetic codes, and (3) DNA-based genetic codes. The numerical results obtained from the proposed algorithm for the English vocabulary indicate that it produces more representative word features than Word2Vec based on the word distance metric. Second, the proposed algorithm is also utilized to model RNA-Protein interaction based on the latent distance of a given molecule, which is demonstrated on three large datasets, namely RPI369, RPI1807, and RPI2241. Finally, two embedding techniques for DNA-based genetic codes are proposed in this work: Two-state Lackadaisical Encoding (TCE) and Topological-Cyclic Encoding (TLE). These techniques enable extracting relevant features for the efficacy score of gRNAs used in the CRISPR-Cas 9 system, demonstrated on 15 datasets, compared to 12 mathematical features. We make our implementation available at https://github.com/namnguyen0510/Quantum-Embedding-of-Word/tree/main.