A synthetic transcription platform for programmable gene expression in mammalian cells

Microbial Transcription Factor-Based Biosensors: Innovations from Design to Applications in Synthetic Biology

Transcription factor-based biosensors (TFBs) are powerful tools in microbial biosensor applications, enabling dynamic control of metabolic pathways, real-time monitoring of intracellular metabolites, and high-throughput screening (HTS) for strain engineering. These systems use transcription factors (TFs) to convert metabolite concentrations into quantifiable outputs, enabling precise regulation of metabolic fluxes and biosynthetic efficiency in microbial cell factories. Recent advancements in TFB, including improved sensitivity, specificity, and dynamic range, have broadened their applications in synthetic biology and industrial biotechnology. Computational tools such as Cello have further revolutionized TFB design, enabling in silico optimization and construction of complex genetic circuits for integrating multiple signals and achieving precise gene regulation. This review explores innovations in TFB systems for microbial biosensors, their role in metabolic engineering and adaptive evolution, and their future integration with artificial intelligence and advanced screening technologies to overcome critical challenges in synthetic biology and industrial bioproduction.

Synthetic tunable promoters for flexible control of multi-gene expression in mammalian cells

INTRODUCTION

Synthetic biology revolutionizes our ability to decode and recode genetic systems. The capability to reconstruct and flexibly manipulate multi-gene systems is critical for understanding cellular behaviors and has significant applications in therapeutics.

OBJECTIVES

This study aims to construct a diverse library of synthetic tunable promoters (STPs) to enable flexible control of multi-gene expression in mammalian cells.

METHODS

We designed and constructed synthetic tunable promoters (STPs) that incorporate both a universal activation site (UAS) and a specific activation site (SAS), enabling multi-level expression control via the CRISPR activation (CRISPRa) system. To evaluate promoter activity, we utilized Massively Parallel Reporter Assays (MPRA) to assess the basal strengths of the STPs and their activation responses. Next, we constructed a three-gene reporter system to assess the capacity of the synthetic promoters for achieving multilevel control of single-gene expression within multi-gene systems.

RESULTS

The promoter library contains 24,960 unique non-redundant promoters with distinct sequence characteristics. MPRA revealed a wide range of promoter activities, showing different basal strengths and distinct activation levels when activated by the CRISPRa system. When regulated by targeting the SAS, the STPs exhibited orthogonality, allowing multilevel control of single-gene expression within multi-gene systems without cross-interference. Furthermore, the combinatorial activation of STPs in a multi-gene system enlarged the scope of expression levels achievable, providing fine-tuned control over gene expression.

CONCLUSION

We provide a diverse collection of synthetic tunable promoters, offering a valuable toolkit for the construction and manipulation of multi-gene systems in mammalian cells, with applications in gene therapy and biotechnology.

Development of a bacterial gene transcription activating strategy based on transcriptional activator positive feedback

INTRODUCTION

Transcription of biological nitrogen fixation (nif) genes is activated by the NifA protein which recognizes specific activating sequences upstream of σ54-dependent nif promoters. The large quantities of nitrogenase which can make up 20% of the total proteins in the cell indicates high transcription activating efficiency of NifA and high transcription level of nifHDK nitrogenase genes.

OBJECTIVES

Development of an efficient gene transcription activating strategy in bacteria based on positive transcription regulatory proteins and their regulating DNA sequences.

METHODS

We designed a highly efficient gene transcription activating strategy in which the nifA gene was placed directly downstream of its regulating sequences. The NifA protein binds its regulating sequences and stimulates transcription of itself and downstream genes. Overexpressed NifA causes transcription activation by positive reinforcement.

RESULTS

When this gene transcription activating strategy was used to overexpress NifA in Pseudomonas stutzeri DSM4166 containing the nif gene cluster, the nitrogenase activity was increased by 368 folds which was 16 times higher than that obtained by nifA driven by the strongest endogenous constitutive promoter. When this strategy was used to activate transcription of exogenous biosynthetic genes for the plant auxin indole-3-acetic acid and the antitumor alkaloid pigment prodigiosin in DSM4166, both of them resulted in better performance than the strongest endogenous constitutive promoter and the highest reported productions in heterologous hosts to date. Finally, we demonstrated the universality of this strategy using the positive transcriptional regulator of the psp operon, PspF, in E. coli and the pathway-specific positive transcription regulator of the polyene antibiotic salinomycin biosynthesis, SlnR, in Streptomyces albus.

CONCLUSION

Many positive transcription regulatory proteins and their regulating DNA sequences have been identified in bacteria. The gene transcription activating strategy developed in this study will have broad applications in molecular biology and biotechnology.

Creation of an orthogonal and universal auto-inducible gene expression platform by reprogramming a two-component signal circuit for efficient production of industrial enzymes

Bacterial gene expression systems play a crucial role in producing valuable biological macromolecules, such as recombinant proteins and polysaccharides. However, traditional inducible gene systems have limitations that need costly chemical inducers that can harm the host. To address these challenges, a novel peptide-activated auto-inducible gene expression system was developed in Bacillus subtilis, leveraging Accessory gene regulatory system (Agr), a two-component signal system, from Staphylococcus aureus to trigger gene expression in response to an auto-inducible peptide (AIP). This system mimics a cell density-dependent regulatory mechanism, allowing for the intuitive activation of gene expression as accumulation of AIP. By precisely tuning the level of AIP, the auto-induction time was successfully delayed, however, at the expense of slightly reducing the strength of effector promoter P3, thus decreasing level of output expression. Furthermore, modulation of the stoichiometry of sensor protein AgrC allowed for fine-tuning of the auto-induction time, temporal dynamics, and expression levels. The robustness of the system was improved by strengthening P3 while maintaining the delayed auto-induction time. The versatility and efficacy of the system was demonstrated by the efficient production of various industrial enzymes. This study paves the way for the application of bacterial two-component signal systems to design synthetic gene circuits.

A novel interpretable deep learning-based computational framework designed synthetic enhancers with broad cross-species activity

Enhancers play a critical role in dynamically regulating spatial-temporal gene expression and establishing cell identity, underscoring the significance of designing them with specific properties for applications in biosynthetic engineering and gene therapy. Despite numerous high-throughput methods facilitating genome-wide enhancer identification, deciphering the sequence determinants of their activity remains challenging. Here, we present the DREAM (DNA cis-Regulatory Elements with controllable Activity design platforM) framework, a novel deep learning-based approach for synthetic enhancer design. Proficient in uncovering subtle and intricate patterns within extensive enhancer screening data, DREAM achieves cutting-edge sequence-based enhancer activity prediction and highlights critical sequence features implicating strong enhancer activity. Leveraging DREAM, we have engineered enhancers that surpass the potency of the strongest enhancer within the Drosophila genome by approximately 3.6-fold. Remarkably, these synthetic enhancers exhibited conserved functionality across species that have diverged more than billion years, indicating that DREAM was able to learn highly conserved enhancer regulatory grammar. Additionally, we designed silencers and cell line-specific enhancers using DREAM, demonstrating its versatility. Overall, our study not only introduces an interpretable approach for enhancer design but also lays out a general framework applicable to the design of other types of cis-regulatory elements.

A precise and sustainable doxycycline-inducible cell line development platform for reliable mammalian cell engineering with gain-of-function mutations

For mammalian synthetic biology research, multiple orthogonal and tunable gene expression systems have been developed, among which the tetracycline (Tet)-inducible system is a key tool for gain-of-function mutations. Precise and long-lasting regulation of genetic circuits is necessary for the effective use of these systems in genetically engineered stable cell lines. However, current cell line development strategies, which depend on either random or site-specific integration along with antibiotic selection, are unpredictable and unsustainable, limiting their widespread use. To overcome these issues, we aimed to establish a Robust Overexpression via Site-specific integration of Effector (ROSE) system, a clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9-mediated streamlined Tet-On3G-inducible master cell line (MCL) development platform. ROSE MCLs equipped with a landing pad facilitated the transcriptional regulation of various effector genes via recombinase-mediated cassette exchange. Long-term investigation revealed that the modular design of genetic payloads and integration sites significantly affected the induction capacity and stability, with ROSE MCLs exhibiting exceptional induction performance. To demonstrate the versatility of our platform, we explored its efficiency for the precise regulation of selection stringency, manufacturing of therapeutic antibodies with tunable expression levels and timing, and transcription factor engineering. Overall, this study demonstrated the effectiveness and reliability of the ROSE platform, highlighting its potential for various biological and biotechnological applications.

Exploring treatment options in cancer: Tumor treatment strategies

Traditional therapeutic approaches such as chemotherapy and radiation therapy have burdened cancer patients with onerous physical and psychological challenges. Encouragingly, the landscape of tumor treatment has undergone a comprehensive and remarkable transformation. Emerging as fervently pursued modalities are small molecule targeted agents, antibody-drug conjugates (ADCs), cell-based therapies, and gene therapy. These cutting-edge treatment modalities not only afford personalized and precise tumor targeting, but also provide patients with enhanced therapeutic comfort and the potential to impede disease progression. Nonetheless, it is acknowledged that these therapeutic strategies still harbour untapped potential for further advancement. Gaining a comprehensive understanding of the merits and limitations of these treatment modalities holds the promise of offering novel perspectives for clinical practice and foundational research endeavours. In this review, we discussed the different treatment modalities, including small molecule targeted drugs, peptide drugs, antibody drugs, cell therapy, and gene therapy. It will provide a detailed explanation of each method, addressing their status of development, clinical challenges, and potential solutions. The aim is to assist clinicians and researchers in gaining a deeper understanding of these diverse treatment options, enabling them to carry out effective treatment and advance their research more efficiently.

Mathematical and In Silico Analysis of Synthetic Inhibitory Circuits That Program Self-Organizing Multicellular Structures

Bottom-up approaches are becoming increasingly popular for studying multicellular self-organization and development. In contrast to the classic top-down approach, where parts of the organization/developmental process are broken to understand the process, the goal is to build the process to understand it. For example, synthetic circuits have been built to understand how cell-cell communication and differential adhesion can drive multicellular development. The majority of current bottom-up efforts focus on using activatory circuits to engineer and understand development, but efforts with inhibitory circuits have been minimal. Yet, inhibitory circuits are ubiquitous and vital to native developmental processes. Thus, inhibitory circuits are a crucial yet poorly studied facet of bottom-up multicellular development. To demonstrate the potential of inhibitory circuits for building and developing multicellular structures, several synthetic inhibitory circuits that combine engineered cell-cell communication and differential adhesion were designed, and then examined for synthetic development capability using a previously validated in silico framework. These designed inhibitory circuits can build a variety of patterned, self-organized structures and even morphological oscillations. These results support that inhibitory circuits can be powerful tools for building, studying, and understanding developmental processes.

Synthetic transcription factor engineering for cell and gene therapy

Synthetic transcription factors (synTFs) that control beneficial transgene expression are an important method to increase the safety and efficacy of cell and gene therapy. Reliance on synTF components from non-human sources has slowed progress in the field because of concerns about immunogenicity and inducer drug properties. Recent advances in human-derived DNA-binding domains (DBDs) and transcriptional activation domains (TADs) paired with novel control modules responsive to clinically approved small molecules have poised the synTF field to overcome these hurdles. Advances include controllers inducible by autonomous signaling inputs and more complex, multi-input synTF circuits. Demonstrations of advanced control strategies with human-derived transcription factor components in clinically relevant vectors and in vivo models will facilitate progression into the clinic.

Recent advances in generative biology for biotherapeutic discovery

Generative biology combines artificial intelligence (AI), advanced life sciences technologies, and automation to revolutionize the process of designing novel biomolecules with prescribed properties, giving drug discoverers the ability to escape the limitations of biology during the design of next-generation protein therapeutics. Significant hurdles remain, namely: (i) the inherently complex nature of drug discovery, (ii) the bewildering number of promising computational and experimental techniques that have emerged in the past several years, and (iii) the limited availability of relevant protein sequence-function data for drug-like molecules. There is a need to focus on computational methods that will be most practically effective for protein drug discovery and on building experimental platforms to generate the data most appropriate for these methods. Here, we discuss recent advances in computational and experimental life sciences that are most crucial for impacting the pace and success of protein drug discovery.

CRISPR Technologies in Chinese Hamster Ovary Cell Line Engineering

The Chinese hamster ovary (CHO) cell line is a well-established platform for the production of biopharmaceuticals due to its ability to express complex therapeutic proteins with human-like glycopatterns in high amounts. The advent of CRISPR technology has opened up new avenues for the engineering of CHO cell lines for improved protein production and enhanced product quality. This review summarizes recent advances in the application of CRISPR technology for CHO cell line engineering with a particular focus on glycosylation modulation, productivity enhancement, tackling adventitious agents, elimination of problematic host cell proteins, development of antibiotic-free selection systems, site-specific transgene integration, and CRISPR-mediated gene activation and repression. The review highlights the potential of CRISPR technology in CHO cell line genome editing and epigenetic engineering for the more efficient and cost-effective development of biopharmaceuticals while ensuring the safety and quality of the final product.

Uncovering the Role of N-Glycan Occupancy on the Cooperative Assembly of Spike and Angiotensin Converting Enzyme 2 Complexes: Insights from Glycoengineering and Native Mass Spectrometry

Interactions between the SARS-CoV-2 Spike protein and ACE2 are one of the most scrutinized reactions of our time. Yet, questions remain as to the impact of glycans on mediating ACE2 dimerization and downstream interactions with Spike. Here, we address these unanswered questions by combining a glycoengineering strategy with high-resolution native mass spectrometry (MS) to investigate the impact of N-glycan occupancy on the assembly of multiple Spike-ACE2 complexes. We confirmed that intact Spike trimers have all 66 N-linked sites occupied. For monomeric ACE2, all seven N-linked glycan sites are occupied to various degrees; six sites have >90% occupancy, while the seventh site (Asn690) is only partially occupied (∼30%). By resolving the glycoforms on ACE2, we deciphered the influence of each N-glycan on ACE2 dimerization. Unexpectedly, we found that Asn432 plays a role in mediating dimerization, a result confirmed by site-directed mutagenesis. We also found that glycosylated dimeric ACE2 and Spike trimers form complexes with multiple stoichiometries (Spike-ACE2 and Spike2-ACE2) with dissociation constants (Kds) of ∼500 and <100 nM, respectively. Comparing these values indicates that positive cooperativity may drive ACE2 dimers to complex with multiple Spike trimers. Overall, our results show that occupancy has a key regulatory role in mediating interactions between ACE2 dimers and Spike trimers. More generally, since soluble ACE2 (sACE2) retains an intact SARS-CoV-2 interaction site, the importance of glycosylation in ACE2 dimerization and the propensity for Spike and ACE2 to assemble into higher oligomers are molecular details important for developing strategies for neutralizing the virus.

Engineered PROTAC-CID Systems for Mammalian Inducible Gene Regulation

Gene regulation via chemically induced dimerization (CID) is useful for biomedical research. However, the number, type, versatility, and in vivo applications of CID tools remain limited. Here, we demonstrate the development of proteolysis-targeting chimera-based scalable CID (PROTAC-CID) platforms by systematically engineering the available PROTAC systems for inducible gene regulation and gene editing. Further, we show orthogonal PROTAC-CIDs that can fine-tune gene expression at gradient levels or multiplex biological signals with different logic gating operations. Coupling the PROTAC-CID platform with genetic circuits, we achieve digitally inducible expression of DNA recombinases, base- and prime-editors for transient genome manipulation. Finally, we package a compact PROTAC-CID system into adeno-associated viral vectors for inducible and reversible gene activation in vivo. This work provides a versatile molecular toolbox that expands the scope of chemically inducible gene regulation in human cells and mice.