Aptamer- and Ribozyme-Engineered sgRNAs for Conditional Control of CRISPR/Cas9 Function

Wei Wang , Liting Li , Xiaohui Li , Qiulong Zhang , Yan Liu

Frontiers in Bioscience-Landmark ›› 2026, Vol. 31 ›› Issue (3) : 47300

PDF (3440KB)
Frontiers in Bioscience-Landmark ›› 2026, Vol. 31 ›› Issue (3) :47300 DOI: 10.31083/FBL47300
Review
review-article
Aptamer- and Ribozyme-Engineered sgRNAs for Conditional Control of CRISPR/Cas9 Function
Author information +
History +
PDF (3440KB)

Abstract

The clustered regularly interspaced short palindromic repeats CRISPR-associated protein 9 (CRISPR/Cas9) system has emerged as a versatile platform for genome editing, transcriptional regulation, and chromosomal imaging. Recent advances in synthetic biology have enabled the engineering of single guide RNA (sgRNA) to confer conditional responsiveness on the CRISPR/Cas9 system. By integrating functional nucleic acid elements, such as aptamers, ribozymes, and aptazymes, into specific structural regions of the sgRNA, researchers have developed systems that respond to a variety of molecular signals, including small molecules, proteins, and endogenous metabolites. These engineered sgRNAs enable spatiotemporal control of gene editing, activation, repression, and imaging in both prokaryotic and eukaryotic cells. This review summarizes the structural principles, design strategies, and applications of condition-responsive CRISPR/Cas9 systems, highlighting their potential in synthetic biology, disease modeling, and therapeutic development. Current challenges and future directions for improving the specificity, efficiency, and applicability of these systems are also discussed.

Graphical abstract

Keywords

CRISPR-Cas systems / guide RNA / RNA aptamers / ribozymes / genetic engineering / gene expression regulation

Cite this article

Download citation ▾
Wei Wang, Liting Li, Xiaohui Li, Qiulong Zhang, Yan Liu. Aptamer- and Ribozyme-Engineered sgRNAs for Conditional Control of CRISPR/Cas9 Function. Frontiers in Bioscience-Landmark, 2026, 31(3): 47300 DOI:10.31083/FBL47300

登录浏览全文

4963

注册一个新账户 忘记密码

1. Introduction

The Clustered Regularly Interspaced Short Palindromic Repeats/Cas CRISPR-associated protein 9 (CRISPR/Cas9) system is an adaptive immune mechanism found in bacteria and archaea that protects them from viral or phage invasions. Due to its simple composition, high specificity, and efficient cleavage, researchers have repurposed the CRISPR/Cas9 system into a new generation of gene-editing tools, rapidly expanding its applications [1, 2, 3]. It has now been validated for precise genome editing in a wide range of organisms [4, 5, 6, 7, 8]. Simultaneously, the system has shown great potential in the field of molecular diagnostics, sparking widespread interest in the development of condition responsive technologies based on the CRISPR/Cas9 platform. Engineering of the Cas9 protein has not only endowed it with gene editing functions but also enabled transcriptional regulation (CRISPR Interference [CRISPRi] for gene repression and CRISPR Activation [CRISPRa] for gene activation) [9, 10, 11]. Furthermore, structural design of the guide RNA (gRNA) has achieved conditional responsiveness at the cellular level [12, 13, 14].

Researchers have leveraged the CRISPR/Cas9 platform alongside molecular tools like dynamic nucleic acid structures to regulate cellular functions. This includes strategies such as aptamer-mediated regulation and strand-exchange regulation, which have been further applied in both prokaryotic and eukaryotic cells to control gene expression levels, protein production, and cellular functions [15, 16, 17, 18]. These approaches have significantly broadened the application dimensions of the CRISPR/Cas9 system. By integrating environment-responsive elements, the system can now perceive and respond to specific stimuli, such as small molecules or metabolites, enhancing its spatiotemporal precision within complex biological environments [19, 20, 21, 22]. This strategy also provides key technical support for building intelligent gene circuits and cell-based therapies, demonstrating broad prospects in disease diagnosis and precision medicine.

Aptamers are artificially synthesized single-stranded deoxyribonucleic acid (DNA) or ribonucleic acid (RNA) sequences first reported in 1990 [23, 24, 25]. They fold into secondary and tertiary structures, enabling extremely high specificity for binding their target molecules [26]. Due to their high specific affinity for targets—ranging from small molecules and proteins to entire cells—RNA aptamers are particularly suitable for integration with single guide RNA (sgRNA) to construct CRISPR/Cas9 systems regulated by specific molecules [27, 28]. Similar to protein enzymes, certain ribonucleic acid (RNA) molecules, known as “ribozymes”, can catalyze various biochemical reactions, such as the cleavage and formation of phosphodiester bonds, peptide bonds, and other chemical bonds [29, 30, 31]. In 1988, Thomas R. Cech was awarded the 1989 Nobel Prize in Chemistry for discovering the catalytic properties of RNA. Specific cleavage can immediately render a target RNA molecule non-functional. Incorporating self-cleaving ribozymes with sgRNA allows the construction of ribozyme-regulated CRISPR/Cas9 systems [32, 33].

Utilizing dynamic nucleic acid structures to regulate gene expression offers the advantages of simple engineering and broad applicability. Since the modified sgRNA in such systems can be produced intracellularly via plasmid expression rather than requiring synthetic synthesis, it holds strong potential for in vivo applications. This review primarily summarizes research from the past decade on constructing condition responsive CRISPR/Cas9 systems using aptamers and ribozymes. By engineering the structure of sgRNA—through individual RNA aptamers, ribozymes, or combined aptamer-ribozyme constructs (also called aptazyme)—these systems can respond to specific compounds or proteins in prokaryotic or eukaryotic cells, thereby achieving gene editing, expression regulation, and imaging via the CRISPR/Cas9 system.

2. CRISPR-Cas9 as a Versatile Platform for Genomic Manipulation

2.1 Cas9 in Gene Editing: DNA Cleavage and Repair Mechanisms

Cas9 has been widely adopted for gene editing in a variety of organisms. Similar to other nucleases, Cas9-mediated gene editing is achieved through a two-step process: double-strand DNA breakage followed by DNA repair. The sgRNA guides Cas9 to a specific genomic site, inducing a double-strand break (DSB) [9, 34]. This break subsequently triggers intrinsic cellular DNA repair mechanisms, primarily non-homologous end joining (NHEJ) or homology-directed repair (HDR) (Fig. 1) [35, 36, 37, 38, 39].

The NHEJ repair pathway randomly introduces insertion or deletion mutations (indels) at the DSB site. By disrupting the reading frame of the target gene or mutating critical regions of the encoded protein, this process can lead to gene knockout (KO) [40]. In contrast, HDR can introduce precise sequence modifications—such as deletions, mutations, insertions, or gene corrections—at the DSB site using a donor DNA template as a guide [41, 42]. Consequently, the CRISPR/Cas9 system provides a powerful platform for sequence-specific genome editing, enabling diverse applications including gene knockout, gene knock-in (KI), and targeted mutation or correction of specific sequences [3, 43, 44].

2.2 Gene Regulation With dCas9: CRISPR Interference (CRISPRi) and CRISPR Activation (CRISPRa)

Beyond its nuclease activity, Cas9 can serve as a unique platform for recruiting functional proteins and RNA factors to specific DNA target sites. Based on this capability, it has been engineered into a sequence-specific gene regulation tool [10, 11, 45, 46]. To achieve this, transcriptional activators and repressors are fused to a nuclease-deactivated Cas9 (dCas9). dCas9 retains the ability to bind sgRNA and target DNA but lacks nuclease activity, thereby functioning as an RNA-guided, sequence-specific DNA-binding platform.

In bacterial cells as shown in Fig. 2a, dCas9 alone can effectively repress transcription of target genes by sterically hindering the transcription machinery [46, 47]. This approach is referred to as CRISPR interference (CRISPRi). While CRISPRi is generally highly efficient in prokaryotes, the dCas9-sgRNA complex alone is less effective at silencing gene expression in mammalian cells [48]. However, CRISPRi in mammalian cells can be enhanced by fusing transcriptional repressor domains—such as the KRAB domain from Kox1—to dCas9, enabling successful repression of reporter or endogenous genes [45, 49].

In addition to transcriptional repression, transcriptional activation can be achieved in mammalian cells by fusing activators such as VP64 and p65AD to dCas9 (Fig. 2b) [10, 45, 49, 50]. These fusion proteins increase expression levels of corresponding host genes. Given the importance of transcriptional activation for studying gene function, this system has been continuously improved to achieve higher levels of activation. More advanced systems, including the dCas9 SAM (recruiting multiple transcriptional activators using the synergistic activation mediator) system, dCas9 SunTag system, and dCas9-VP64-p65-Rta (VPR) system, have since been developed [51, 52, 53].

3. Structural Insights and Engineering Strategies for sgRNA

The CRISPR/Cas9 system is regarded as the latest generation of gene editing tools [54]. It is of great significance to clarify how the sgRNA binds to the Cas9 protein and targets the target DNA. A comprehensive understanding of the sgRNA’s structural architecture is not merely descriptive, but fundamental to its rational engineering. The precise three-dimensional arrangement of its loops, stems, and linkers defines both the constraints and opportunities for embedding exogenous functional RNA elements, such as aptamers and ribozymes. Therefore, deconstructing the sgRNA into its core components and evaluating their individual contributions to Cas9 function is a critical prerequisite for informed design. This knowledge allows researchers to strategically target tolerant regions for modifications while avoiding disruptions to the structural integrity essential for activity. The following detailed structural analysis serves to map these “engineering handles” within the sgRNA scaffold.

3.1 Structural Features and Identification of Key Functional Regions in sgRNA

The sgRNA is composed of sequences derived from both crRNA and tracrRNA, which are linked via an engineered tetraloop (Fig. 3a) [55]. Its architecture features a crRNA segment partitioned into a 20-nucleotide guide region and a 12-nucleotide repeat region, alongside a tracrRNA segment that includes a 14-nucleotide anti-repeat region and three distinct stem loops [56, 57]. Crystallographic analysis shows that upon binding target DNA, the sgRNA adopts a T-shaped structure. This architecture is constituted by a guide:target heteroduplex, a repeat:anti-repeat duplex, and three stem loops (Fig. 3a,c). A single nucleotide (Adenine) serves as the connector between the repeat:anti-repeat duplex and stem loop 1, while a 5-nucleotide single-stranded linker (purple) bridges stem loops 1 and 2 [55].

These findings demonstrate that stem loop 1 is indispensable for assembling a functional Cas9-sgRNA complex, while stem loops 2 and 3 play auxiliary roles in stabilizing the complex and boosting sgRNA stability, thereby enhancing its activity in vivo. To evaluate the contribution of each structural element of the sgRNA to Cas9 function, Hiroshi Nishimasu et al. [55] engineered and assayed multiple sgRNA variants containing mutations in the repeat:anti-repeat duplex, stem loops 1 through 3, and the interconnecting linker between stem loops 1 and 2. Experimental results show that stem loops 2 and 3, along with the linker, are permissive to extensive mutagenesis. In contrast, the integrity of the repeat:anti-repeat duplex and stem loop 1 is crucial for Cas9’s activity (Fig. 3a). Furthermore, the sgRNA sequence overall exhibits considerable tolerance to a wide array of mutations (Fig. 3c, reconstructed sgRNA). Collectively, these findings underscore the critical role of Cas9’s structure-specific recognition of the repeat:anti-repeat duplex [55].

3.2 Structural Hotspots for Functional sgRNA Engineering

As illustrated in Fig. 3b, while optimized sgRNA designs (e.g., with an A-U flip or hairpin extension) exhibit enhanced binding affinity to Cas9 and target DNA, their core architecture is conserved. Consequently, the selection of a specific guide RNA structure for experimental applications can be made flexibly based on the specific requirements of the study [58]. Crystallographic analysis reveals that the nucleotides of Stem loop 1 and stem loop 3 interact directly with the Cas9 protein, whereas the tetraloop and the -GAAA- motif of stem loop 2 are exposed on the protein surface (shown in Fig. 3c). Consequently, the insertion of aptamer or ribozyme sequences into these two structural elements does not interfere with the inherent function of the sgRNA, while simultaneously allowing the incorporation of regulatory modules. Two additional sites for sequence addition are the 5- and 3- ends of the sgRNA. Extending the 3- end has no significant impact on sgRNA function [59]. However, at the 5- end, the 20 nucleotides preceding the protospacer adjacent motif (PAM) are responsible for target gene recognition; shortening this guide sequence to less than 17 nucleotides significantly impairs the sgRNA’s ability to bind target DNA [60]. While excessive extension of the 5- end can influence the sgRNA’s efficiency in binding its target DNA sequence, it does not completely abolish its activity [61, 62]. Therefore, researchers primarily focus on these four regions for engineering sgRNA structure by introducing aptamers or ribozymes: 5- end extension, 3- end extension, and replacement of the tetraloop and the -GAAA- sequence in stem loop 2.

3.3 Aptamers and Ribozymes: A Modular Toolkit for Programmable sgRNA

Table 1 lists common RNA aptamers and ribozymes (Ref. [29, 32, 33, 59, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81]). The listed RNA aptamers (such as theophylline, tetracycline, and 3-methylxanthine) and ribozymes (including hammerhead ribozyme and Csy4 substrate) represent a versatile toolkit for the precise regulation and functional expansion of synthetic RNA systems, particularly sgRNA. These elements enable external control by responding to specific small-molecule ligands to modulate RNA activity or structure, and facilitate the recruitment of effector proteins (e.g., via MS2 and PP7) for tasks like imaging, localization, or translational control. Ribozymes introduce self-cleaving activity for processing RNA transcripts or engineering genetic circuits. Collectively, they are pivotal components for constructing sophisticated, programmable biological tools.

4. Application of Engineered sgRNA in the CRISPR/Cas9 System

4.1 Engineering Small-Molecule-Responsive sgRNAs for Prokaryotic CRISPR-Cas9 Regulation

The CRISPR-Cas9 system is widely used for gene editing, transcriptional regulation, and imaging due to its ability to target any DNA sequence via the sgRNA. However, most existing regulation methods focus on controlling the Cas9 protein, resulting in synchronous regulation of all target genes and lacking the capability for independent spatiotemporal control of multiple genes [82, 83, 84]. Kale Kundert et al. [66] proposed engineering the sgRNA itself to achieve ligand-dependent activation or inhibition of CRISPR function, thereby providing a new tool for studying complex biological processes (Fig. 4a).

They inserted theophylline aptamers into multiple regions of the sgRNA (such as the upper stem, linker regions, and hairpin structures) as shown in Fig. 4b, employing three connection strategies: replacing part of the stem structure, splitting the sgRNA and connecting it with aptamers, and designing strand-displacement structures. Through in vitro DNA cleavage assays, they screened 10 sgRNA designs responsive to theophylline, nine of which were ligand-activated and one was ligand-inhibited. Using a CRISPRi-based fluorescent reporter system and fluorescence-activated cell sorting, they identified ligRNA variants that activate or inhibit in the presence of theophylline: ligRNA+ denotes activation of CRISPRi when the ligand is present, while ligRNA denotes inhibition of CRISPRi when the ligand is present. Both exhibited a dynamic range of >10-fold in E. coli and showed dose-dependent responses.

The proposed response mechanisms for these engineered sgRNAs include: ligand binding stabilizing the active conformation and promoting Cas9 binding to DNA (ligRNA+); and ligand binding potentially affecting the base-pairing status of A-U in stem loop 3, thereby interfering with Cas9 function (ligRNA). Both designs exhibited a linear response to theophylline concentration changes within a certain range, with fast response times (from several minutes to over ten minutes)—significantly faster than the residence time of dCas9 on DNA. Furthermore, the designs were effective for most tested spacer sequences, indicating that ligRNAs can be used to regulate most genes. Successful application was demonstrated for endogenous genes in E. coli (e.g., the lac operon) and in another bacterium, Pseudomonas aeruginosa, confirming the broad applicability of this strategy. Additionally, by replacing the aptamer (e.g., with 3-methylxanthine or thiamine pyrophosphate), independent regulation of different genes was achieved, enabling temporal and reversible control of gene expression programs within the same cell.

Meanwhile, the team led by Iwasaki et al. [85] proposed and validated a novel small-molecule-regulated sgRNA for achieving time- and dose-dependent control of CRISPR-Cas9 gene editing in E. coli. Their strategy involved inserting a small-molecule-binding aptamer into the tetraloop region of the sgRNA, creating an “aptamer-gRNA” (agRNA) (Fig. 5a) [85]. Specifically, by randomizing the internal loop and adjacent helical regions, they constructed an agRNA library and employed an in vivo screening strategy to isolate agRNA variants with low background and high inducibility as shown in Fig. 5b. Using a survival selection system based on the galK gene, along with positive and negative selection cycles, they enriched for agRNAs exhibiting theophylline dependence. After multiple rounds of screening, several highly efficient and inducible agRNAs (such as A9 and GU19) were identified and their applicability across different genomic loci was verified (Fig. 5c).

The agRNAs were activated upon addition of theophylline or 3-methylxanthine (3MX), significantly enhancing editing efficiency. This efficiency increased with higher concentrations of the small molecule and longer exposure times. By introducing point mutations to convert the theophylline aptamer into a 3MX aptamer, they further expanded the diversity of the regulatory toolbox. This strategy improved transformation and editing efficiency: the use of agRNAs increased transformation efficiency by 104-fold while maintaining editing efficiency as high as 80%. In the presence of non-functional sgRNAs, the agRNA system significantly reduced the enrichment of non-edited cells, thereby improving the representation of edited libraries. The study also provided insights into the mechanism of small-molecule regulation of CRISPR/Cas9: Electrophoretic mobility shift assay (EMSA) experiments indicated that the binding of agRNA to Cas9 was not affected by the small molecule, suggesting that regulation occurs at the stage of DNA recognition and cleavage, not during ribonucleoprotein (RNP) assembly. Furthermore, in vitro cleavage assays showed that the small molecule enhanced the nuclease activity of Cas9, although the induction range was narrower than observed in vivo, hinting at the significant influence of the cellular environment on tool performance. Finally, by designing a plasmid carrying agRNAs responsive to both theophylline and 3MX regulation, they achieved multi-locus, sequential editing in a single experiment through the induction of different small molecules, overcoming the issue of cell death associated with multiplexed editing.

4.2 Modular and Programmable sgRNAs for Advanced Gene Editing in Eukaryotic Cells

Under non-viral delivery conditions, the CRISPR-Cas9 system often results in a high proportion of imprecise edits (such as insertions/deletions, or indels) rather than the desired precise homology-directed repair (HDR). Conventional methods involving the co-delivery of ribonucleoprotein (RNP) complexes with donor templates frequently suffer from uneven delivery and low editing efficiency. Carlson-Stevermer et al. [78] designed a modular RNA aptamer-streptavidin strategy termed Simplex (Fig. 6a). Its core design is the S1m-sgRNA, created by inserting the S1m RNA aptamer into specific stem-loop structures of the sgRNA (the Tetraloop, Stem loop 2, and the 3 extension), enabling high-affinity binding to streptavidin as shown in Fig. 6b. Streptavidin acts as a bridge to connect the S1m-sgRNA to biotinylated molecules. By 5-terminal biotin modification single-stranded oligodeoxynucleotides synthesized through DNA Synthesizer (ssODNs, donor templates for HDR), a complete RNP complex comprising the sgRNA, Cas9 protein, and single-stranded oligodeoxynucleotide (ssODN) is formed. Simplex can be pre-assembled in vitro into unified nanoparticles, ensuring the co-delivery of the RNP and its donor template in a defined stoichiometric ratio.

The primary advantage of this strategy is the significant enhancement of the precise-to-imprecise editing ratio. Across various human cell lines (such as HEK293T and hPSCs) and multiple genomic loci (e.g., BFP, EMX1, GAA), Simplex increased this ratio by up to 18-fold, achieving nearly 4:1 in some cases. Notably, Simplex also demonstrated robust and highly precise editing capability when correcting the pathogenic GAA mutation. Experiments using dynamic light scattering, EMSA, and confocal microscopy confirmed that Simplex complexes remain stable both in vitro and inside cells, and facilitate the co-localization of Cas9 and the donor template within the nucleus. Furthermore, Simplex can be loaded with biotinylated molecules such as quantum dots or fluorophores for applications like fluorescence-activated cell sorting (FACS) to enrich successfully edited cells. Using different colored fluorescent markers, multiplexed gene editing was achieved, allowing for the isolation of highly pure edited clones via FACS. Analysis of multiple potential off-target sites showed no significant detection of off-target editing.

The team led by Lin et al. [65] developed a simple, versatile, and non-invasive regulatory strategy—SMART-sgRNA as shown in Fig. 7a. This approach leaves the original sgRNA’s guide function intact but incorporates a blocking motif (complementary to a stem region of the sgRNA, forming a stable duplex that prevents its binding to Cas9) and a triggering motif (an aptamer sequence, such as the theophylline RNA aptamer, introduced at the 3 end of the sgRNA). In the absence of the small molecule, the blocking motif binds the sgRNA, rendering the system inactive. Upon addition of the small molecule, the aptamer undergoes a structural change, disrupting its interaction with the blocking motif and releasing the functional sgRNA, which can then bind Cas9 and activate gene editing (Fig. 7b) [65].

In vitro experiments optimized the lengths of the blocking motif and the aptamer structure, identifying sgB18-A30-S7 as achieving the optimal balance between blocking efficiency and theophylline-induced activation efficiency. Furthermore, in HEK-293T cells, using sgB18-A30-S7 to regulate luciferase gene expression successfully demonstrated theophylline-dependent activation of gene editing, consistent with the in vitro results. Applying this strategy to both the luciferase and TurboRFP genes required only swapping the guide sequence (the first 20 nucleotides) of the sgRNA, without the need to redesign the blocking structure, highlighting its broad generality.

SMART-sgRNA provides a simple, universal, and efficient method for temporal control of CRISPR-Cas9. This strategy does not alter the Cas9 protein and achieves regulation merely by extending the sgRNA sequence, thereby maximally preserving its native function. In the future, incorporating different aptamers could enable responsiveness to various small molecules (e.g., metabolites, drugs), making SMART-sgRNA suitable for diverse applications including multiplexed gene regulation, drug screening, and chromosome imaging.

4.3 Engineering sgRNA for Programmable Control of Gene Expression in Eukaryotic Cells

The complex phenotypes of eukaryotic cells are regulated by signaling pathways and decision-making circuits, but there has been a lack of efficient and programmable tools for constructing artificial signal connections. Researchers aim to develop synthetic devices capable of sensing diverse biological signals and regulating gene expression to reprogram cell behavior. The team led by Liu et al. [59] proposed and validated a new synthetic biology tool based on the CRISPR-Cas9 system—the “signal conductor”—which enables the sensing and processing of external or internal biological signals and regulates the expression of endogenous genes. Its design principle involves integrating signal-responsive riboswitches into the 3-end of the sgRNA, allowing conformational changes upon binding specific signals (such as small molecules or proteins), thereby activating or inhibiting dCas9/dCas9-VP64-mediated regulation of target genes as shown in Fig. 8a,b. In the absence of a signal, the guide region of the sgRNA is sequestered by an antisense stem structure, preventing DNA binding. Conversely, in the presence of a signal, the signal molecule binds to the aptamer, releasing the guide region to bind target DNA and subsequently regulate transcription [59].

In their study, the team successfully used small molecule signals such as tetracycline and theophylline to regulate the expression of genes like vascular endothelial growth factor (VEGF) in HEK-293T cells, demonstrating dose dependence and a high dynamic range, thereby achieving regulation of endogenous genes. By combining different signal conductors, they implemented all basic logic gate functions, including NOT, AND, OR, NAND, NOR, XOR, and XNOR, showcasing the capability for logical operations in mammalian cells. Furthermore, they constructed an artificial bidirectional connection between the β-catenin and nuclear factor kappa B (NF-κB) pathways in bladder cancer cells, enabling signal redirection between pathways. They redirected oncogenic signals (such as Nucleophosmin [NPM] and E26 Transformation-Specific 1 [Ets-1] to activate tumor suppressor genes (such as cellular tumor antigen p53 [p53], cyclin-dependent kinase inhibitor 1 [p21], and E-cadherin), thereby inhibiting cancer cell proliferation and migration. In liver cancer cells, simultaneous inhibition of B-cell lymphoma 2 (BCL2) (anti-apoptotic) and activation of BCL2-Associated X protein (BAX) (pro-apoptotic) induced cancer cell apoptosis, achieving cancer signal reprogramming. They also constructed an AND gate nucleic acid circuit that triggers apoptosis only in cancer cells with simultaneous high expression of NF-κB and β-catenin, demonstrating its ability to specifically recognize and kill cancer cells. In a nude mouse model, this circuit significantly suppressed tumor growth, achieving a dual-input AND gate for specific cancer cell killing.

This strategy features a modular design (using sgRNA as a universal scaffold for signal sensing and gene regulation) and high flexibility, enabling responses to multiple signals (small molecules, proteins) and bidirectional (activation/inhibition) regulation. Additionally, complex logic functions can be achieved with a single sgRNA without the need for multi-layer circuits. It holds strong potential for clinical applications, such as cancer therapy and cell fate reprogramming.

The team led by Liu et al. [86] proposed a ligand-inducible gene regulation strategy based on the combination of a theophylline aptamer and the CRISPR/Cas9 system, achieving precise control of gRNA function through synergistic allosteric regulation. The authors introduced a minimally invasive structural modification strategy: inserting the theophylline aptamer into non-Cas9-recognized but structurally critical regions of the gRNA—the tetraloop and stem loop 2. They designed a communication module (CM) as a structural bridge between the gRNA and the aptamer (Fig. 9a). This module is unstable in the absence of the ligand but stabilizes upon ligand binding, thereby regulating gRNA activity (Fig. 9b). Structural analysis ensured that the modifications did not affect Cas9/gRNA complex formation but only affected its DNA-binding capability [86].

In in vitro binding experiments, the theophylline aptamer was introduced into the tetraloop and stem loop 2 positions, testing six CMs of different lengths. CM-3 at the tetraloop position and CM-2 and CM-3 at the stem loop 2 position showed the best responsiveness. Dose-dependent experiments demonstrated that ternary complex formation increased with theophylline concentration, showing clear dose dependence. Subsequent intracellular gene regulation experiments were conducted in HEK293T cells using the CRISPRa system to activate endogenous genes (such as ASCL1 and CXCR4). Theophylline treatment significantly enhanced gene expression (from ~3-fold to ~22-fold) with concentration-dependent regulation. Although some background leakage was observed, the dynamic regulatory range was broad, proving the strategy’s effectiveness in living cells.

The elegance of this synergistic allosteric design lies in achieving ligand control over CRISPR/Cas9 function through minimal modifications to non-core regions of the gRNA. It offers strong generality (the design is not target-sequence-specific and can be extended to other genes) and high expandability (besides the theophylline aptamer, other RNA aptamers can be similarly incorporated for multiplexed ligand control). Additionally, it enables dose-dependent gene regulation both in vitro and in cells, providing a new tool for precise gene editing and synthetic biology.

The team led by Liu et al. [87] developed a novel inducible CRISPR-dCas9 transcription activation system that enables quantitative detection and imaging of the endogenous metabolite S-adenosylmethionine (SAM) in living cells through small molecule-mediated split aptamer assembly (Fig. 10a). The strategy involves splitting the SAM aptamer into two fragments: Frag1 inserted into the tetraloop region of the gRNA, and Frag2 inserted into the loop region of the MS2 RNA motif. When SAM is present, as shown in Fig. 10b, the two fragments reassemble, recruiting the MCP-VPR transcription activator to the dCas9-gRNA complex, thereby activating the expression of downstream reporter genes (such as the near-infrared fluorescent protein iRFP670).

The team first validated the feasibility of split aptamer assembly in vitro. Then, they constructed a signal-amplified transcription system in living cells: by increasing the number of MS2 repeats and target sites (TS), the fluorescence signal was significantly enhanced. The system successfully activated iRFP670 expression in HEK293T cells with very low background expression. SAM-induced transcription activation experiments showed that the system is highly specific to SAM, and its activity could be enhanced by exogenous SAM or inhibited by the SAM synthesis inhibitor cycloleucine. Dynamic response experiments indicated that the system responds to SAM changes within 2–4 hours. The system was used to quantitatively detect endogenous SAM levels, successfully imaging SAM in different cell lines (HEK-293T, HeLa, HepG2, MCF-7), with results consistent with UPLC–MS/MS quantitative data. Additionally, the team investigated the synthesis mechanism of intracellular SAM: Small interfering RNA (siRNA) knockdown experiments showed that MAT2A is the primary enzyme for SAM synthesis in HEK293T. Overexpression of either MAT1A or MAT2A increased SAM levels, with MAT1A being more efficient. Epigenetic drugs (SAHA and 5-azacytidine) upregulated MAT1A messenger RNA (mRNA), thereby increasing SAM levels in cancer cells.

This study is the first to apply the split aptamer assembly strategy to the CRISPR-dCas9 system, achieving inducible, quantitative, and dynamic imaging of the small molecule metabolite SAM. The system offers advantages such as low background, high specificity, and scalability, providing a new tool for studying the regulation of gene expression by endogenous metabolites. In the future, by replacing other aptamers, the system can be extended to detect and regulate more small molecules or metabolites.

4.4 Aptazyme-Engineered sgRNAs for Programmable Control of Gene Expression in Eukaryotic Cells

Tang et al. [68] proposed and validated a new strategy for regulating the activity of the CRISPR-Cas9 system using small molecules. The research team designed a structure called agRNA, as shown in Fig. 11, which embeds an aptazyme—a combination of a self-cleaving ribozyme and an aptamer—into the sgRNA. The core design involves introducing an RNA sequence complementary to the spacer region at the 5-end of the sgRNA, forming a secondary structure that inhibits sgRNA function in the absence of a ligand, known as the blocking sequence. Additionally, when a specific small molecule (such as theophylline or guanine) is present, the aptazyme is activated, undergoes self-cleavage, releases the blocking sequence, and thereby restores sgRNA activity [68].

First, they validated the blocking strategy of this design by introducing a complementary blocking sequence into the spacer region of the sgRNA, successfully inhibiting Cas9 cleavage activity. They also compared different blocking positions (spacer region vs. crRNA-tracrRNA binding region) and found that blocking at the 5-end spacer was most effective. Then, they verified the restoration of activity by the Hammerhead ribozyme. By inserting the hammerhead ribozyme between the blocking sequence and the sgRNA, post-transcriptional self-cleavage was achieved, restoring sgRNA function. A “dead” version (dHHR-bsgRNA) with a mutated ribozyme active center was constructed, confirming that self-cleavage is key to restoring activity. Subsequently, this strategy was successfully applied to achieve small-molecule-regulated genome editing and transcriptional activation. For regulated genome editing, a theophylline-dependent aptazyme was embedded into the sgRNA to construct theophylline-agRNA, enabling small-molecule-dependent Cas9-mediated gene knockout and base editing (using the BE3 system). This was validated at multiple endogenous sites (such as HEK-3 and FANCF), confirming its feasibility and specificity. For regulated transcriptional activation, a guanine-dependent aptazyme was used to construct guanine-agRNA, which, combined with the dCas9-VPR system, achieved small-molecule-dependent transcriptional activation of GFP or RFP genes. Significant fluorescence enhancement was observed in HEK293T cells. Furthermore, the team optimized the strategy by introducing a “bulge” structure into the blocking sequence to improve the activation/inhibition ratio. The universality of agRNA was also validated across different targets and reporter systems.

The advantages of this strategy include the ability to respond to different small molecules by changing the aptazyme type, enabling modular design of responsive systems. This system achieves regulation solely through sgRNA engineering without requiring modification of the Cas9 protein, facilitating broad application. Additionally, the strategy is applicable to various CRISPR applications, including gene knockout, base editing, and transcriptional activation. Due to the strong specificity of the aptamer, the system shows weak responses to analogs (such as 3-methylxanthine), demonstrating excellent regulatory specificity.

Ferry et al. [81] proposed a novel, modular inducible CRISPR transcription regulation system, providing a flexible and efficient gene regulation tool for synthetic biology in mammalian cells. The researchers introduced a strategy based on single-guide RNA (sgRNA) engineering, called the “spacer-blocking hairpin (SBH)”: a “back-fold” sequence complementary to the spacer is introduced at the 5-end of the sgRNA, forming a hairpin structure that prevents the spacer from binding to the target DNA, thereby completely inhibiting CRISPR Transcriptional Regulation (CRISPR-TR) activity (Fig. 12a). By replacing the connecting loop of the SBH with an RNA unit cleavable by specific inducers, conditional activation is achieved, termed iSBH (inducible SBH) (Fig. 12b) [81].

First, they validated the effectiveness of SBH: experiments demonstrated that SBH completely inhibits CRISPR-TR activity. Control experiments (such as mismatched hairpins and random sequences) confirmed that the inhibitory effect depends on base pairing between the back-fold and the spacer. Second, they constructed and optimized iSBH, including protein-responsive iSBH (using RNA endonucleases like Csy4 and Cas6A as inducers to restore sgRNA function by cleaving the SBH structure) and ASO-responsive iSBH (using antisense oligonucleotides (ASOs) to bind the iSBH loop region, recruiting RNase H to cleave the RNA strand, enabling exogenous regulation). Optimization strategies mainly involved adjusting stem stability (e.g., by introducing bulge structures) and the length of residual sequences after cleavage, significantly improving the ON/OFF ratio. Subsequently, the researchers used the iSBH system to successfully construct two basic gene regulation modules: a branching module where a single inducer simultaneously activates multiple target genes, and an orthogonal module where different inducers independently regulate different target genes without cross-interference. These modules were validated in both synthetic reporter genes and endogenous genes (such as HBG1 and IL1B). They also extended the application to ASO- and ribozyme-responsive systems. An online tool, iSBHfold, was developed for automatically designing shared ASO-sensing loops applicable to multiple spacers. By integrating the self-cleaving hammerhead ribozyme (HHR2) into the SBH, self-activation without exogenous proteins was achieved, laying the foundation for future development of small-molecule or protein-responsive systems.

This strategy involves minimal modification to the sgRNA, is compatible with various CRISPR-derived systems (such as gene editing, epigenetic regulation, and base editing), and supports independent regulation of multiple genes. It also offers strong modularity and excellent orthogonality. Additionally, the OFF state exhibits almost no leakage, making it suitable for high-precision regulation scenarios (such as apoptosis switches).

Chen et al. [69] proposed a novel conditional genome editing and gene expression regulation system that regulates the post-transcriptional level of sgRNA under small-molecule control, significantly reducing the off-target effects of the CRISPR-Cas9 system and achieving temporally precise control over gene editing and expression. The authors developed a novel system called Cas9/sgRNA-Aptazyme (AZ): Aptazyme is a small-molecule-dependent self-cleaving ribozyme that self-cleaves in the presence of a ligand (such as theophylline), leading to sgRNA degradation. By inserting the theophylline-dependent aptazyme into the tetraloop, stem loop 2, or both of the sgRNA, three variants were constructed: sgRNA-AZ 1.1 (tetraloop only), sgRNA-AZ 1.2 (stem loop 2 only), and sgRNA-AZ 2.0 (both inserted) (Fig. 13b) [69]. Compared to the original sgRNA as shown in Fig. 13a, the introduction of aptazyme structure does not affect sgRNA activity.

In the absence of theophylline, the editing activities of sgRNA-AZ 1.1 and 1.2 were comparable to that of wild-type sgRNA, while sgRNA-AZ 2.0 showed a slight decrease. After adding theophylline, the editing activity of sgRNA-AZ 2.0 significantly decreased, indicating its effectiveness as a small-molecule-controlled gene editing switch. This enables conditional genome editing. Testing with sgRNA targeting EMX1 showed that: the off-target rate for wild-type sgRNA was 15%, while for sgRNA-AZ 2.0 it was 4% without theophylline and 0% with theophylline. The results indicate that timely deactivation of sgRNA activity effectively reduces off-target effects caused by prolonged editing. The system was combined with the dCas9-KRAB transcriptional repression system to target the human PGRN gene promoter. After adding theophylline, the transcriptional repression mediated by sgRNA-AZ 2.0 was lifted, and PGRN promoter activity rapidly recovered, demonstrating the system’s utility for rapid and reversible gene expression regulation, thereby achieving conditional gene expression regulation.

This system offers high specificity (by controlling sgRNA lifespan to reduce non-specific cleavage), temporal precision (rapid switching via small-molecule regulation), flexibility (applicable to both gene editing and transcriptional regulation), and simplicity (no need for additional transcription factors or complex regulatory elements).

4.5 Dual-Color CRISPR Imaging of Genomic Loci in Live Eukaryotes via RNA Aptamer-Engineered sgRNAs

The spatial organization and dynamic changes of chromatin are crucial for cellular function. Traditional methods, such as fluorescent repressor operator systems (FROS), can label specific loci but are complex to perform and may interfere with endogenous DNA sequences. The emergence of the CRISPR-dCas9 system enables the labeling of endogenous loci without inserting exogenous sequences. However, multicolor labeling typically relies on orthogonal Cas9 proteins from different bacterial species, which have complex and less-studied PAM sequences. The team led by Wang et al. [88] proposed and validated a dual-color CRISPR labeling system based on RNA aptamers for visualizing endogenous genomic sites in living cells.

This study developed a dual-color labeling system using only Streptococcus pyogenes Cas9 (SpCas9). By engineering the sgRNA to incorporate MS2 (Fig. 14a) and PP7 (Fig. 14b) RNA aptamers, the system recruits MCP and PCP proteins fused to different fluorescent proteins (EYFP and tagRFP), respectively, enabling dual-color labeling of distinct genomic loci. The study explored two sgRNA design strategies: sgRNA1.0, which adds six MS2 or PP7 hairpin structures at the 3-end, and sgRNA2.0, which incorporates one aptamer each at the tetraloop and stem loop 2, plus four additional aptamers at the 3-end, totaling six aptamers.

Both sgRNA1.0 and sgRNA2.0 were able to form fluorescent foci corresponding to telomeres in living cells. The sgRNA2.0 design demonstrated a higher signal-to-noise ratio, suggesting that the positioning of the aptamers within the sgRNA influences labeling efficiency. The system successfully labeled telomeric repeats. Immunofluorescence staining (using anti-TRF1 antibody), confirmed that the fluorescent foci indeed corresponded to telomeres. The number of telomeres detected by different labeling methods (MS2, PP7, immunofluorescence) was consistent, verifying the specificity of the labeling. Furthermore, using MS2 to label telomeres and PP7 to label centromeres enabled spatially distinct dual-color labeling, indicating that the MS2 and PP7 systems do not interfere with each other, thus demonstrating good orthogonality of the strategy.

This strategy offers several advantages: it uses only one Cas9 protein (S. pyogenes), whose simple PAM sequence facilitates target site selection; it can be expanded to include more colors (e.g., by introducing other orthogonal aptamers); and it is applicable to non-repetitive sequences by using multiple sgRNAs targeting adjacent regions for labeling. A limitation of the system is that it requires the construction of three fusion proteins (dCas9, MCP, PCP), making cell line construction somewhat complex.

5. Conclusions and Perspectives

In summary, by integrating functional nucleic acid elements (such as aptamers, ribozymes, and their complexes, aptazymes) into specific structural regions of the sgRNA, researchers have successfully constructed various condition-responsive CRISPR/Cas9 systems. These engineered sgRNAs can respond to a variety of signals, including small molecules (such as theophylline, tetracycline, guanine, etc.), proteins, and endogenous metabolites (such as S-adenosylmethionine), enabling precise spatiotemporal control over functions like gene editing, transcriptional activation/repression, and chromosome imaging. These strategies have not only significantly expanded the applicability of the CRISPR toolkit but also provided powerful new molecular devices for exploring fundamental biological questions and disease treatment [27, 28].

In order to apply the CRISPR/Cas9 system to both prokaryotic and eukaryotic cells, the acquisition of sgRNA is of crucial importance. Extracellularly, engineered sgRNA is mainly obtained through transcription using T7 RNA polymerase. Prokaryotic cells (such as Escherichia coli) can express it using the pJ23119 promoter. In eukaryotic cells (such as HEK 293T or Hela), plasmids are mainly transfected using liposomal reagents, and the cells recognize the U6 promoter in the plasmid, thereby expressing the sgRNA of the relevant sequence. The corresponding delivery system mainly includes the following methods: In prokaryotic cells, the purpose plasmid is mainly transferred into the cells using chemical competent cells, and then the bacteria itself transcribes RNA and translates Cas9-related proteins. In eukaryotic cells, it is mainly through lipid particle transfection reagents that transfer plasmids or RNA or RNA-protein complexes into the cells.

For prokaryotic cells, since plasmids carry antibiotic resistance, selection can be performed based on the different resistance markers carried by various plasmids to ensure that the target plasmid had entered the cells. As a result, the outcomes in prokaryotic cells are relatively uniform. In contrast, eukaryotic cells exhibit greater variability. Due to the limited transfection efficiency of transfection reagents, practical operations often require adjusting experimental conditions (such as reducing the number of cells, increasing the amount of transfected plasmids or RNA, adding more transfection reagents, or extending the transfection time) to enhance experimental outcomes as much as possible. However, the specific experimental conditions still depend significantly on the system. When applying engineered sgRNAs to actual experimental systems, researchers need to explore and optimize the conditions based on their specific circumstances.

Although significant progress has been made in sgRNA engineering, the field still faces several challenges. Firstly, the response efficiency and dynamic range of most current systems that need further improvement to reduce background leakage and enhance induction specificity. Secondly, the tolerance of different sgRNA backbones as well as target gene loci to inserted elements varies, and universal design rules still need to be systematically established and validated. Additionally, for in vivo applications, the stability, delivery efficiency, and potential immunogenicity of engineered sgRNAs are critical factors to consider.

Looking ahead, sgRNA engineering technology is expected to achieve breakthroughs in the following aspects: (1) Development of more diverse high-affinity functional nucleic acid elements to respond to a wider range of physiological or pathological signals; (2) Systematic optimization of the compatibility between the sgRNA backbone and functional modules by combining computational design and high-throughput screening, to achieve higher precision and efficiency in regulation; (3) Deeper integration of condition-responsive CRISPR systems with cutting-edge fields like cell therapy, intelligent drug delivery, and synthetic gene circuits to build smarter and safer theranostic platforms. For instance, “smart” cells capable of sensing specific signals in the tumor microenvironment and triggering therapeutic gene editing could be designed.

Finally, with the deepening understanding of the structure-function relationships of CRISPR systems and continuous advancements in RNA synthesis and modification technologies, the engineering of sgRNAs will become more refined and modular. This will not only drive transformative changes in basic research but also bring unprecedented opportunities for precision medicine, gene therapy, and synthetic biology, ultimately enabling more precise, safer intervention and regulation of human life processes.

References

[1]

Cong L, Ran FA, Cox D, Lin S, Barretto R, Habib N, et al. Multiplex genome engineering using CRISPR/Cas systems. Science. 2013; 339: 819–823. https://doi.org/10.1126/science.1231143.

[2]

Mali P, Yang L, Esvelt KM, Aach J, Guell M, DiCarlo JE, et al. RNA-guided human genome engineering via Cas9. Science. 2013; 339: 823–826. https://doi.org/10.1126/science.1232033.

[3]

Doudna JA, Charpentier E. The new frontier of genome engineering with CRISPR-Cas9. Science. 2014; 346: 1258096. https://doi.org/10.1126/science.1258096.

[4]

Drost J, van Boxtel R, Blokzijl F, Mizutani T, Sasaki N, Sasselli V, et al. Use of CRISPR-modified human stem cell organoids to study the origin of mutational signatures in cancer. Science. 2017; 358: 234–238. https://doi.org/10.1126/science.aao3130.

[5]

Smalley E. CRISPR mouse model boom, rat model renaissance. Nature Biotechnology. 2016; 34: 893–894. https://doi.org/10.1038/nbt0916-893.

[6]

Manguso RT, Pope HW, Zimmer MD, Brown FD, Yates KB, Miller BC, et al. In vivo CRISPR screening identifies Ptpn2 as a cancer immunotherapy target. Nature. 2017; 547: 413–418. https://doi.org/10.1038/nature23270.

[7]

Port F, Bullock SL. Augmenting CRISPR applications in Drosophila with tRNA-flanked sgRNAs. Nature Methods. 2016; 13: 852–854. https://doi.org/10.1038/nmeth.3972.

[8]

Spanjaard B, Hu B, Mitic N, Olivares-Chauvet P, Janjuha S, Ninov N, et al. Simultaneous lineage tracing and cell-type identification using CRISPR-Cas9-induced genetic scars. Nature Biotechnology. 2018; 36: 469–473. https://doi.org/10.1038/nbt.4124.

[9]

Jinek M, Chylinski K, Fonfara I, Hauer M, Doudna JA, Charpentier E. A programmable dual-RNA-guided DNA endonuclease in adaptive bacterial immunity. Science. 2012; 337: 816–821. https://doi.org/10.1126/science.1225829.

[10]

Perez-Pinera P, Kocak DD, Vockley CM, Adler AF, Kabadi AM, Polstein LR, et al. RNA-guided gene activation by CRISPR-Cas9-based transcription factors. Nature Methods. 2013; 10: 973–976. https://doi.org/10.1038/nmeth.2600.

[11]

Larson MH, Gilbert LA, Wang X, Lim WA, Weissman JS, Qi LS. CRISPR interference (CRISPRi) for sequence-specific control of gene expression. Nature Protocols. 2013; 8: 2180–2196. https://doi.org/10.1038/nprot.2013.132.

[12]

Sadhu MJ, Bloom JS, Day L, Siegel JJ, Kosuri S, Kruglyak L. Highly parallel genome variant engineering with CRISPR-Cas9. Nature Genetics. 2018; 50: 510–514. https://doi.org/10.1038/s41588-018-0087-y.

[13]

Wu RY, Wu CQ, Xie F, Xing X, Xu L. Building RNA-Mediated Artificial Signaling Pathways between Endogenous Genes. Accounts of Chemical Research. 2024; 57: 1777–1789. https://doi.org/10.1021/acs.accounts.4c00070.

[14]

Hanewich-Hollatz MH, Chen Z, Hochrein LM, Huang J, Pierce NA. Conditional Guide RNAs: Programmable Conditional Regulation of CRISPR/Cas Function in Bacterial and Mammalian Cells via Dynamic RNA Nanotechnology. ACS Central Science. 2019; 5: 1241–1249. https://doi.org/10.1021/acscentsci.9b00340.

[15]

Wang SR, Wu LY, Huang HY, Xiong W, Liu J, Wei L, et al. Conditional control of RNA-guided nucleic acid cleavage and gene editing. Nature Communications. 2020; 11: 91. https://doi.org/10.1038/s41467-019-13765-3.

[16]

Zhang H, Kelly K, Lee J, Echeverria D, Cooper D, Panwala R, et al. Self-delivering, chemically modified CRISPR RNAs for AAV co-delivery and genome editing in vivo. Nucleic Acids Research. 2024; 52: 977–997. https://doi.org/10.1093/nar/gkad1125.

[17]

Wang WJ, Lin J, Wu CQ, Luo AL, Xing X, Xu L. Establishing artificial gene connections through RNA displacement-assembly-controlled CRISPR/Cas9 function. Nucleic Acids Research. 2023; 51: 7691–7703. https://doi.org/10.1093/nar/gkad558.

[18]

Ying ZM, Wang F, Chu X, Yu RQ, Jiang JH. Activatable CRISPR Transcriptional Circuits Generate Functional RNA for mRNA Sensing and Silencing. Angewandte Chemie (International ed. in English). 2020; 59: 18599–18604. https://doi.org/10.1002/anie.202004751.

[19]

Liu Y, Wang Y, Zhu J, Su X, Lin X, Xu L, et al. Employing pH-responsive RNA triplex to control CRISPR/Cas9-mediated gene manipulation in mammalian cells. Chinese Chemical Letters. 2024; 35: 109427. https://doi.org/10.1016/j.cclet.2023.109427.

[20]

Shen W, Xiong W, Qi Q, Liu X, Xie Z, Zhang Y, et al. Regulating CRISPR/Cas9 Using Streptavidin-Biotin Interactions. Chinese Journal of Chemistry. 2024; 42: 1387. https://doi.org/10.1002/cjoc.202300662.

[21]

Liu X, Xiong W, Qi Q, Zhang Y, Ji H, Cui S, et al. Rational guide RNA engineering for small-molecule control of CRISPR/Cas9 and gene editing. Nucleic Acids Research. 2022; 50: 4769–4783. https://doi.org/10.1093/nar/gkac255.

[22]

Wang L, Liu Y, Song H, Zhang X, Wang Y. Conditional Control of CRISPR/Cas9 Function by Chemically Modified Oligonucleotides. Molecules. 2025; 30: 1956. https://doi.org/10.3390/molecules30091956.

[23]

Ellington AD, Szostak JW. In vitro selection of RNA molecules that bind specific ligands. Nature. 1990; 346: 818–822. https://doi.org/10.1038/346818a0.

[24]

Robertson DL, Joyce GF. Selection in vitro of an RNA enzyme that specifically cleaves single-stranded DNA. Nature. 1990; 344: 467–468. https://doi.org/10.1038/344467a0.

[25]

Tuerk C, Gold L. Systematic evolution of ligands by exponential enrichment: RNA ligands to bacteriophage T4 DNA polymerase. Science. 1990; 249: 505–510. https://doi.org/10.1126/science.2200121.

[26]

Iliuk AB, Hu L, Tao WA. Aptamer in bioanalytical applications. Analytical Chemistry. 2011; 83: 4440–4452. https://doi.org/10.1021/ac201057w.

[27]

Kadam US, Cho Y, Park TY, Hong JC. Aptamer-based CRISPR-Cas powered diagnostics of diverse biomarkers and small molecule targets. Applied Biological Chemistry. 2023; 66: 13. https://doi.org/10.1186/s13765-023-00771-9.

[28]

Wang Y, Li H, Luo S, Zhong M, Liu J, Li B. Research Progress on Signal Conversion Based on Aptamer Combined CRISPR/Cas System in Biosensors. Molecular Diagnosis & Therapy. 2025; 29: 499–518. https://doi.org/10.1007/s40291-025-00785-7.

[29]

Serganov A, Keiper S, Malinina L, Tereshko V, Skripkin E, Höbartner C, et al. Structural basis for Diels-Alder ribozyme-catalyzed carbon-carbon bond formation. Nature Structural & Molecular Biology. 2005; 12: 218–224. https://doi.org/10.1038/nsmb906.

[30]

Doudna JA, Cech TR. The chemical repertoire of natural ribozymes. Nature. 2002; 418: 222–228. https://doi.org/10.1038/418222a.

[31]

Baskerville S, Bartel DP. A ribozyme that ligates RNA to protein. Proceedings of the National Academy of Sciences of the United States of America. 2002; 99: 9154–9159. https://doi.org/10.1073/pnas.142153799.

[32]

Hong J, Jiang Z, Wu Z, Jiang JH. Cell-Specific Control of Mammalian Gene Expression Using DNA Repair Inducible Ribozyme Switches. Angewandte Chemie (International ed. in English). 2025; 64: e202422042. https://doi.org/10.1002/anie.202422042.

[33]

Wang L, Liu Y, Xian X, Zhang H. Hammerhead Ribozymes: Structural Insights, Catalytic Mechanisms, and Cutting-Edge Applications in Synthetic Biology. International Journal of Molecular Sciences. 2025; 26: 5624. https://doi.org/10.3390/ijms26125624.

[34]

Gasiunas G, Barrangou R, Horvath P, Siksnys V. Cas9-crRNA ribonucleoprotein complex mediates specific DNA cleavage for adaptive immunity in bacteria. Proceedings of the National Academy of Sciences of the United States of America. 2012; 109: E2579–E2586. https://doi.org/10.1073/pnas.1208507109.

[35]

Liao H, Wu J, VanDusen NJ, Li Y, Zheng Y. CRISPR-Cas9-mediated homology-directed repair for precise gene editing. Molecular Therapy. Nucleic Acids. 2024; 35: 102344. https://doi.org/10.1016/j.omtn.2024.102344.

[36]

Chang HHY, Pannunzio NR, Adachi N, Lieber MR. Non-homologous DNA end joining and alternative pathways to double-strand break repair. Nature Reviews Molecular Cell Biology. 2017; 18: 495–506. https://doi.org/10.1038/nrm.2017.48.

[37]

Lee K, Conboy M, Park HM, Jiang F, Kim HJ, Dewitt MA, et al. Nanoparticle delivery of Cas9 ribonucleoprotein and donor DNA in vivo induces homology-directed DNA repair. Nature Biomedical Engineering. 2017; 1: 889–901. https://doi.org/10.1038/s41551-017-0137-2.

[38]

Chu VT, Weber T, Wefers B, Wurst W, Sander S, Rajewsky K, et al. Increasing the efficiency of homology-directed repair for CRISPR-Cas9-induced precise gene editing in mammalian cells. Nature Biotechnology. 2015; 33: 543–548. https://doi.org/10.1038/nbt.3198.

[39]

Wei T, Sun Y, Cheng Q, Chatterjee S, Traylor Z, Johnson LT, et al. Lung SORT LNPs enable precise homology-directed repair mediated CRISPR/Cas genome correction in cystic fibrosis models. Nature Communications. 2023; 14: 7322. https://doi.org/10.1038/s41467-023-42948-2.

[40]

Lieber MR. The Mechanism of Double-Strand DNA Break Repair by the Nonhomologous DNA End-Joining Pathway. Annual Review of Biochemistry. 2010; 79: 181–211. https://doi.org/10.1146/annurev.biochem.052308.093131.

[41]

Rudin N, Sugarman E, Haber JE. Genetic and physical analysis of double-strand break repair and recombination in Saccharomyces cerevisiae. Genetics. 1989; 122: 519–534. https://doi.org/10.1093/genetics/122.3.519.

[42]

Plessis A, Perrin A, Haber JE, Dujon B. Site-specific recombination determined by I-SceI, a mitochondrial group I intron-encoded endonuclease expressed in the yeast nucleus. Genetics. 1992; 130: 451–460. https://doi.org/10.1093/genetics/130.3.451.

[43]

Hsu PD, Lander ES, Zhang F. Development and applications of CRISPR-Cas9 for genome engineering. Cell. 2014; 157: 1262–1278. https://doi.org/10.1016/j.cell.2014.05.010.

[44]

Sander JD, Joung JK. CRISPR-Cas systems for editing, regulating and targeting genomes. Nature Biotechnology. 2014; 32: 347–355. https://doi.org/10.1038/nbt.2842.

[45]

Gilbert LA, Larson MH, Morsut L, Liu Z, Brar GA, Torres SE, et al. CRISPR-mediated modular RNA-guided regulation of transcription in eukaryotes. Cell. 2013; 154: 442–451. https://doi.org/10.1016/j.cell.2013.06.044.

[46]

Qi LS, Larson MH, Gilbert LA, Doudna JA, Weissman JS, Arkin AP, et al. Repurposing CRISPR as an RNA-guided platform for sequence-specific control of gene expression. Cell. 2013; 152: 1173–1183. https://doi.org/10.1016/j.cell.2013.02.022.

[47]

Bikard D, Jiang W, Samai P, Hochschild A, Zhang F, Marraffini LA. Programmable repression and activation of bacterial gene expression using an engineered CRISPR-Cas system. Nucleic Acids Research. 2013; 41: 7429–7437. https://doi.org/10.1093/nar/gkt520.

[48]

Gilbert LA, Horlbeck MA, Adamson B, Villalta JE, Chen Y, Whitehead EH, et al. Genome-Scale CRISPR-Mediated Control of Gene Repression and Activation. Cell. 2014; 159: 647–661. https://doi.org/10.1016/j.cell.2014.09.029.

[49]

Konermann S, Brigham MD, Trevino A, Hsu PD, Heidenreich M, Cong L, et al. Optical control of mammalian endogenous transcription and epigenetic states. Nature. 2013; 500: 472–476. https://doi.org/10.1038/nature12466.

[50]

Mali P, Aach J, Stranges PB, Esvelt KM, Moosburner M, Kosuri S, et al. CAS9 transcriptional activators for target specificity screening and paired nickases for cooperative genome engineering. Nature Biotechnology. 2013; 31: 833–838. https://doi.org/10.1038/nbt.2675.

[51]

Konermann S, Brigham MD, Trevino AE, Joung J, Abudayyeh OO, Barcena C, et al. Genome-scale transcriptional activation by an engineered CRISPR-Cas9 complex. Nature. 2015; 517: 583–588. https://doi.org/10.1038/nature14136.

[52]

Chavez A, Scheiman J, Vora S, Pruitt BW, Tuttle M, PR Iyer E, et al. Highly efficient Cas9-mediated transcriptional programming. Nature Methods. 2015; 12: 326–328. https://doi.org/10.1038/nmeth.3312.

[53]

Tanenbaum ME, Gilbert LA, Qi LS, Weissman JS, Vale RD. A protein-tagging system for signal amplification in gene expression and fluorescence imaging. Cell. 2014; 159: 635–646. https://doi.org/10.1016/j.cell.2014.09.039.

[54]

Ramachandran R. CRISPR/Cas9 System: 2020 Nobel Prize in Chemistry. Resonance. 2020; 25: 1669–1680. https://doi.org/10.1007/s12045-020-1088-6.

[55]

Nishimasu H, Ran FA, Hsu PD, Konermann S, Shehata SI, Dohmae N, et al. Crystal structure of Cas9 in complex with guide RNA and target DNA. Cell. 2014; 156: 935–949. https://doi.org/10.1016/j.cell.2014.02.001.

[56]

Zhang Y, Ling X, Su X, Zhang S, Wang J, Zhang P, et al. Optical Control of a CRISPR/Cas9 System for Gene Editing by Using Photolabile crRNA. Angewandte Chemie International Edition. 2020; 59: 20895–20899. https://doi.org/10.1002/anie.202009890.

[57]

Jiang F, Doudna JA. CRISPR–Cas9 Structures and Mechanisms. Annual Review of Biophysics. 2017; 46: 505–529. https://doi.org/10.1146/annurev-biophys-062215-010822.

[58]

Chen B, Gilbert LA, Cimini BA, Schnitzbauer J, Zhang W, Li GW, et al. Dynamic imaging of genomic loci in living human cells by an optimized CRISPR/Cas system. Cell. 2013; 155: 1479–1491. https://doi.org/10.1016/j.cell.2013.12.001.

[59]

Liu Y, Zhan Y, Chen Z, He A, Li J, Wu H, et al. Directing cellular information flow via CRISPR signal conductors. Nature Methods. 2016; 13: 938–944. https://doi.org/10.1038/nmeth.3994.

[60]

Fu Y, Sander JD, Reyon D, Cascio VM, Joung JK. Improving CRISPR-Cas nuclease specificity using truncated guide RNAs. Nature Biotechnology. 2014; 32: 279–284. https://doi.org/10.1038/nbt.2808.

[61]

Wang Y, Zhang QL, Liu Y, Wang LL, Wu CQ, Shao M, et al. Photo-controllable multiple and orthogonal regulation of gene expression by chemically modified oligonucleotides. Science China Chemistry. 2025; 68: 694–704. https://doi.org/10.1007/s11426-024-2285-7.

[62]

Pandit B, Fang L, Kool ET, Royzen M. Reversible RNA Acylation Using Bio-Orthogonal Chemistry Enables Temporal Control of CRISPR-Cas9 Nuclease Activity. ACS Chemical Biology. 2024; 19: 1719–1724. https://doi.org/10.1021/acschembio.4c00117.

[63]

Jenison RD, Gill SC, Pardi A, Polisky B. High-resolution molecular discrimination by RNA. Science. 1994; 263: 1425–1429. https://doi.org/10.1126/science.7510417.

[64]

Liu Y, Han J, Chen Z, Wu H, Dong H, Nie G. Engineering cell signaling using tunable CRISPR-Cpf1-based transcription factors. Nature Communications. 2017; 8: 2095. https://doi.org/10.1038/s41467-017-02265-x.

[65]

Lin B, An Y, Meng L, Zhang H, Song J, Zhu Z, et al. Control of CRISPR-Cas9 with small molecule-activated allosteric aptamer regulating sgRNAs. Chemical Communications. 2019; 55: 12223–12226. https://doi.org/10.1039/c9cc05531b.

[66]

Kundert K, Lucas JE, Watters KE, Fellmann C, Ng AH, Heineike BM, et al. Controlling CRISPR-Cas9 with ligand-activated and ligand-deactivated sgRNAs. Nature Communications. 2019; 10: 2127. https://doi.org/10.1038/s41467-019-09985-2.

[67]

Wrist A, Sun W, Summers RM. The Theophylline Aptamer: 25 Years as an Important Tool in Cellular Engineering Research. ACS Synthetic Biology. 2020; 9: 682–697. https://doi.org/10.1021/acssynbio.9b00475.

[68]

Tang W, Hu JH, Liu DR. Aptazyme-embedded guide RNAs enable ligand-responsive genome editing and transcriptional activation. Nature Communications. 2017; 8: 15939. https://doi.org/10.1038/ncomms15939.

[69]

Chen H, Li Y, Du C, Li Y, Zhao J, Zheng X, et al. Aptazyme-mediated direct modulation of post-transcriptional sgRNA level for conditional genome editing and gene expression. Journal of Biotechnology. 2018; 288: 23–29. https://doi.org/10.1016/j.jbiotec.2018.10.011.

[70]

Jalalian SH, Karimabadi N, Ramezani M, Abnous K, Taghdisi SM. Electrochemical and optical aptamer-based sensors for detection of tetracyclines. Trends in Food Science & Technology. 2018; 73: 45–57. https://doi.org/10.1016/j.tifs.2018.01.009.

[71]

Kelvin D, Suess B. Tapping the potential of synthetic riboswitches: reviewing the versatility of the tetracycline aptamer. RNA Biology. 2023; 20: 457–468. https://doi.org/10.1080/15476286.2023.2234732.

[72]

Nomura Y, Kumar D, Yokobayashi Y. Synthetic mammalian riboswitches based on guanine aptazyme. Chemical Communications. 2012; 48: 7215–7217. https://doi.org/10.1039/c2cc33140c.

[73]

Mandal M, Boese B, Barrick JE, Winkler WC, Breaker RR. Riboswitches control fundamental biochemical pathways in Bacillus subtilis and other bacteria. Cell. 2003; 113: 577–586. https://doi.org/10.1016/s0092-8674(03)00391-x.

[74]

Soukup GA, Emilsson GA, Breaker RR. Altering molecular recognition of RNA aptamers by allosteric selection. Journal of Molecular Biology. 2000; 298: 623–632. https://doi.org/10.1006/jmbi.2000.3704.

[75]

Lu C, Smith AM, Fuchs RT, Ding F, Rajashankar K, Henkin TM, et al. Crystal structures of the SAM-III/S(MK) riboswitch reveal the SAM-dependent translation inhibition mechanism. Nature Structural & Molecular Biology. 2008; 15: 1076–1083. https://doi.org/10.1038/nsmb.1494.

[76]

Zalatan JG, Lee ME, Almeida R, Gilbert LA, Whitehead EH, La Russa M, et al. Engineering complex synthetic transcriptional programs with CRISPR RNA scaffolds. Cell. 2015; 160: 339–350. https://doi.org/10.1016/j.cell.2014.11.052.

[77]

Leppek K, Stoecklin G. An optimized streptavidin-binding RNA aptamer for purification of ribonucleoprotein complexes identifies novel ARE-binding proteins. Nucleic Acids Research. 2014; 42: e13. https://doi.org/10.1093/nar/gkt956.

[78]

Carlson-Stevermer J, Abdeen AA, Kohlenberg L, Goedland M, Molugu K, Lou M, et al. Assembly of CRISPR ribonucleoproteins with biotinylated oligonucleotides via an RNA aptamer for precise gene editing. Nature Communications. 2017; 8: 1711. https://doi.org/10.1038/s41467-017-01875-9.

[79]

Yen L, Svendsen J, Lee JS, Gray JT, Magnier M, Baba T, et al. Exogenous control of mammalian gene expression through modulation of RNA self-cleavage. Nature. 2004; 431: 471–476. https://doi.org/10.1038/nature02844.

[80]

Haurwitz RE, Jinek M, Wiedenheft B, Zhou K, Doudna JA. Sequence- and structure-specific RNA processing by a CRISPR endonuclease. Science. 2010; 329: 1355–1358. https://doi.org/10.1126/science.1192272.

[81]

Ferry QRV, Lyutova R, Fulga TA. Rational design of inducible CRISPR guide RNAs for de novo assembly of transcriptional programs. Nature Communications. 2017; 8: 14633. https://doi.org/10.1038/ncomms14633.

[82]

Zetsche B, Volz SE, Zhang F. A split-Cas9 architecture for inducible genome editing and transcription modulation. Nature Biotechnology. 2015; 33: 139–142. https://doi.org/10.1038/nbt.3149.

[83]

Liu Z, Huang L, Deng H, Chen Y, Xiao H. Characteristics, Recombination Methods, and Applications Progresses of Split-Cas9 System. Human Gene Therapy. 2023; 34: 594–604. https://doi.org/10.1089/hum.2022.223.

[84]

Schmelas C, Grimm D. Split Cas9, Not Hairs - Advancing the Therapeutic Index of CRISPR Technology. Biotechnology Journal. 2018; 13: e1700432. https://doi.org/10.1002/biot.201700432.

[85]

Iwasaki RS, Ozdilek BA, Garst AD, Choudhury A, Batey RT. Small molecule regulated sgRNAs enable control of genome editing in E. coli by Cas9. Nature Communications. 2020; 11: 1394. https://doi.org/10.1038/s41467-020-15226-8.

[86]

Liu Y, Wang Y, Lin J, Xu L. Theophylline-induced synergic activation of guide RNA to control CRISPR/Cas9 function. Chemical Communications. 2021; 57: 5418–5421. https://doi.org/10.1039/d1cc01260f.

[87]

Liu XH, Li BR, Ying ZM, Tang LJ, Wang F, Jiang JH. Small-Molecule-Mediated Split-Aptamer Assembly for Inducible CRISPR-dCas9 Transcription Activation. ACS Chemical Biology. 2022; 17: 1769–1777. https://doi.org/10.1021/acschembio.2c00101.

[88]

Wang S, Su JH, Zhang F, Zhuang X. An RNA-aptamer-based two-color CRISPR labeling system. Scientific Reports. 2016; 6: 26857. https://doi.org/10.1038/srep26857.

Funding

Fund for Creative Research of The Second People’s Hospital of Foshan(2024B02)

Postdoctoral Initial Foundation of Guangdong Medical University(4SG24185G)

PDF (3440KB)

0

Accesses

0

Citation

Detail

Sections
Recommended

/