Nonmonotone invasion landscape by noise-aware control of metastasis activator levels

Advancement in synthetic gene circuits engineering: An alternative strategy for microRNA imaging and disease theranostics

Gene circuits, which are genetically engineered systems designed to regulate gene expression, are emerging as powerful tools in disease theranostics, especially in mammalian cells. This review explores the latest advances in the design and application of gene circuits for detecting and treating various diseases. Synthetic gene circuits, inspired by electronic systems, offer precise control over therapeutic gene activity, allowing for real-time, user-defined responses to pathological signals. Notable applications include synZiFTRs for T-cell-based cancer therapies, immunomagnetic circuits for combating antibiotic-resistant infections like MRSA, and caffeine-induced circuits for managing type-2 diabetes. Additionally, advanced designs such as TetR-Elk1 circuits for reversing insulin resistance, RNAi circuits for targeting cancer cells, and synthetic circuits for managing metabolic conditions like urate homeostasis and diet-induced obesity are highlighted. These gene circuits, tailored for mammalian cells, showcase immense potential in gene- and cell-based therapies for complex metabolic and immune-related disorders, paving the way for precise, customizable treatments. The review focuses on the use of these circuits in mammalian systems and emphasizes their therapeutic implications, offering insights into future developments in disease treatment.

Perspectives on Synthetic Protein Circuits in Mammalian Cells

Mammalian synthetic biology aims to engineer cellular behaviors for therapeutic applications, such as enhancing immune cell efficacy against cancers or improving cell transplantation outcomes. Programming complex biological functions necessitates an understanding of molecular mechanisms governing cellular responses to stimuli. Traditionally, synthetic biology has focused on transcriptional circuits, but recent advances have led to the development of synthetic protein circuits, leveraging programmable binding, proteolysis, or phosphorylation to modulate protein interactions and cellular functions. These circuits offer advantages including robust performance, rapid functionality, and compact design, making them suitable for cellular engineering or gene therapies. This review outlines the post-translational toolkit, emphasizing synthetic protein components utilizing proteolysis or phosphorylation to program mammalian cell behaviors. Finally, we focus on key differences between rewiring native signaling pathways and creating orthogonal behaviors, alongside a proposed framework for translating synthetic protein circuits from tool development to pre-clinical applications in biomedicine.

ZNF131-BACH1 transcriptionally accelerates RAD51-dependent homologous recombination repair and therapy-resistance of non-small-lung cancer cells by preventing their degradation from CUL3

Rationale: Both bulk RNA-sequencing and GEO database upon chemotherapy to non-small cell lung cancer (NSCLC) cells reveal that ZNF131 (Zinc Finger Protein 131) maybe a crucial transcriptional factor involved. However, it is a recently discovered protein with largely unexplored expression patterns and biological functions. Methods: Bioinformatics analyses and immunohistochemistry staining were assessed to detect both mRNA and protein levels of ZNF131 in NSCLC specimens and cell lines. Next, colony formation assay, MTT assay, EdU assay, transwell assay, flow cytometric analysis, sphere formation assay, western blotting analysis, mouse xenograft model analysis, immunofluorescence assay, and reverse transcriptase-polymerase chain reaction were performed to investigate the effect of ZNF131 interaction on proliferation, invasion, stemness, chemotherapy sensitivity. RNA-sequencing assay, RNA-microarray, and ChIP-sequencing assay were used to identify candidate downstream target genes. Further, liquid chromatography-tandem mass spectrometry analysis, GST pull-down assay, and immunoprecipitation assays were performed to evaluate the interactions between ZNF131, BACH1, and CUL3. Results: ZNF131 was elevated in NSCLC specimens and cell lines, which significantly correlates with advanced TNM stage and poor prognosis in NSCLC patients. ZNF131 overexpression promotes NSCLC cell proliferation, invasion, and stemness both in vitro and in vivo. ZNF131 appears to target the RAD51 gene within a well-defined region (-668bp to -403bp) of the RAD51 promoter. ZNF131 contributes to RAD51-dependent homologous recombination (HR), primarily through its Zinc Finger and BTB domains. ZNF131-BACH1 interaction, mediated by their respective BTB domains, enhances the stability of both proteins, effectively preventing their ubiquitin-mediated degradation by CUL3. The ZNF131-BACH1 partnership significantly amplifies RAD51-dependent HR, resulting in expedited resistance to both radiotherapy and chemotherapy in NSCLC patients. Desoxyrhaponticin was shown to halt NSCLC progression and orchestrate a synergistic effect together with chemotherapy at least partially by targeting ZNF131. Conclusions: Our findings indicate that ZNF131 exhibits heightened expression in NSCLC, driving essential processes such as proliferation, invasion, and stemness by transcriptionally activating RAD51. The ZNF131-BACH1 interaction serves as a crucial enhancer, further boosting RAD51 transcription and ultimately accelerating therapy resistance in NSCLC.

Optimizing a CRISPR-Cas13d Gene Circuit for Tunable Target RNA Downregulation with Minimal Collateral RNA Cutting

The invention of RNA-guided DNA cutting systems has revolutionized biotechnology. More recently, RNA-guided RNA cutting by Cas13d entered the scene as a highly promising alternative to RNA interference to engineer cellular transcriptomes for biotechnological and therapeutic purposes. Unfortunately, "collateral damage" by indiscriminate off-target cutting tampered enthusiasm for these systems. Yet, how collateral activity, or even RNA target reduction depends on Cas13d and guide RNA abundance has remained unclear due to the lack of expression-tuning studies to address this question. Here we use precise expression-tuning gene circuits to show that both nonspecific and specific, on-target RNA reduction depend on Cas13d and guide RNA levels, and that nonspecific RNA cutting from trans cleavage might contribute to on-target RNA reduction. Using RNA-level control techniques, we develop new Multi-Level Optimized Negative-Autoregulated Cas13d and crRNA Hybrid (MONARCH) gene circuits that achieve a high dynamic range with low basal on-target RNA reduction while minimizing collateral activity in human kidney cells and green monkey cells most frequently used in human virology. MONARCH should bring RNA-guided RNA cutting systems to the forefront, as easily applicable, programmable tools for transcriptome engineering in biotechnological and medical applications.

Tunable, self-contained gene dosage control via proteolytic cleavage of CRISPR-Cas systems

Gene therapy holds great therapeutic potential. Yet, controlling cargo expression in single cells is limited due to the variability of delivery methods. We implement an incoherent feedforward loop based on proteolytic cleavage of CRISPR-Cas activation or inhibition systems to reduce gene expression variability against the variability of vector delivery. We demonstrate dosage control for activation and inhibition, post-delivery tuning, and RNA-based delivery, for a genome-integrated marker. We then target the RAI1 gene, the haploinsufficiency and triplosensitivity of which cause two autism-related syndromes, Smith-Magenis-Syndrome (SMS) and Potocki-Lupski-Syndrome, respectively. We demonstrate dosage control for RAI1 activation in HEK293s, Neuro-2As, and mouse cortical neurons via AAVs and lentiviruses. Finally, we activate the intact RAI1 copy in SMS patient-derived cells to an estimated two-copy healthy range, avoiding the harmful three-copy regime. Our circuit paves the way for viable therapy in dosage-sensitive disorders, creating precise and tunable gene regulation systems for basic and translational research.

Synthetic gene circuit evolution: Insights and opportunities at the mid-scale

Directed evolution focuses on optimizing single genetic components for predefined engineering goals by artificial mutagenesis and selection. In contrast, experimental evolution studies the adaptation of entire genomes in serially propagated cell populations, to provide an experimental basis for evolutionary theory. There is a relatively unexplored gap at the middle ground between these two techniques, to evolve in vivo entire synthetic gene circuits with nontrivial dynamic function instead of single parts or whole genomes. We discuss the requirements for such mid-scale evolution, with hypothetical examples for evolving synthetic gene circuits by appropriate selection and targeted shuffling of a seed set of genetic components in vivo. Implementing similar methods should aid the rapid generation, functionalization, and optimization of synthetic gene circuits in various organisms and environments, accelerating both the development of biomedical and technological applications and the understanding of principles guiding regulatory network evolution.

Design and Model-Driven Analysis of Synthetic Circuits with the Staphylococcus aureus Dead-Cas9 (sadCas9) as a Programmable Transcriptional Regulator in Bacteria

Synthetic circuit design is crucial for engineering microbes that process environmental cues and provide biologically relevant outputs. To reliably scale-up circuit complexity, the availability of parts toolkits is central. Streptococcus pyogenes (sp)-derived CRISPR interference/dead-Cas9 (CRISPRi/spdCas9) is widely adopted for implementing programmable regulations in synthetic circuits, and alternative CRISPRi systems will further expand our toolkits of orthogonal components. Here, we showcase the potential of CRISPRi using the engineered dCas9 from Staphylococcus aureus (sadCas9), not previously used in bacterial circuits, that is attractive for its low size and high specificity. We designed a collection of ∼20 increasingly complex circuits and variants in Escherichia coli, including circuits with static function like one-/two-input logic gates (NOT, NAND), circuits with dynamic behavior like incoherent feedforward loops (iFFLs), and applied sadCas9 to fix a T7 polymerase-based cascade. Data demonstrated specific and efficient target repression (100-fold) and qualitatively successful functioning for all circuits. Other advantageous features included low sadCas9-borne cell load and orthogonality with spdCas9. However, different circuit variants showed quantitatively unexpected and previously unreported steady-state responses: the dynamic range, switch point, and slope of NOT/NAND gates changed for different output promoters, and a multiphasic behavior was observed in iFFLs, differing from the expected bell-shaped or sigmoidal curves. Model analysis explained the observed curves by complex interplays among components, due to reporter gene-borne cell load and regulator competition. Overall, CRISPRi/sadCas9 successfully expanded the available toolkit for bacterial engineering. Analysis of our circuit collection depicted the impact of generally neglected effects modulating the shape of component dose-response curves, to avoid drawing wrong conclusions on circuit functioning.

Transcription factor BACH1 in cancer: roles, mechanisms, and prospects for targeted therapy

Transcription factor BTB domain and CNC homology 1 (BACH1) belongs to the Cap 'n' Collar and basic region Leucine Zipper (CNC-bZIP) family. BACH1 is widely expressed in mammalian tissues, where it regulates epigenetic modifications, heme homeostasis, and oxidative stress. Additionally, it is involved in immune system development. More importantly, BACH1 is highly expressed in and plays a key role in numerous malignant tumors, affecting cellular metabolism, tumor invasion and metastasis, proliferation, different cell death pathways, drug resistance, and the tumor microenvironment. However, few articles systematically summarized the roles of BACH1 in cancer. This review aims to highlight the research status of BACH1 in malignant tumor behaviors, and summarize its role in immune regulation in cancer. Moreover, this review focuses on the potential of BACH1 as a novel therapeutic target and prognostic biomarker. Notably, the mechanisms underlying the roles of BACH1 in ferroptosis, oxidative stress and tumor microenvironment remain to be explored. BACH1 has a dual impact on cancer, which affects the accuracy and efficiency of targeted drug delivery. Finally, the promising directions of future BACH1 research are prospected. A systematical and clear understanding of BACH1 would undoubtedly take us one step closer to facilitating its translation from basic research into the clinic.

Adaptive DNA amplification of synthetic gene circuit opens a way to overcome cancer chemoresistance

Drug resistance continues to impede the success of cancer treatments, creating a need for experimental model systems that are broad, yet simple, to allow the identification of mechanisms and novel countermeasures applicable to many cancer types. To address these needs, we investigated a set of engineered mammalian cell lines with synthetic gene circuits integrated into their genome that evolved resistance to Puromycin. We identified DNA amplification as the mechanism underlying drug resistance in 4 out of 6 replicate populations. Triplex-forming oligonucleotide (TFO) treatment combined with Puromycin could efficiently suppress the growth of cell populations with DNA amplification. Similar observations in human cancer cell lines suggest that TFOs could be broadly applicable to mitigate drug resistance, one of the major difficulties in treating cancer.

A systems-level analysis of the mutually antagonistic roles of RKIP and BACH1 in dynamics of cancer cell plasticity

Epithelial-mesenchymal transition (EMT) is an important axis of phenotypic plasticity-a hallmark of cancer metastasis. Raf kinase-B inhibitor protein (RKIP) and BTB and CNC homology 1 (BACH1) are reported to influence EMT. In breast cancer, they act antagonistically, but the exact nature of their roles in mediating EMT and associated other axes of plasticity remains unclear. Here, analysing transcriptomic data, we reveal their antagonistic trends in a pan-cancer manner in terms of association with EMT, metabolic reprogramming and immune evasion via PD-L1. Next, we developed and simulated a mechanism-based gene regulatory network that captures how RKIP and BACH1 engage in feedback loops with drivers of EMT and stemness. We found that RKIP and BACH1 belong to two antagonistic 'teams' of players-while BACH1 belonged to the one driving pro-EMT, stem-like and therapy-resistant cell states, RKIP belonged to the one enabling pro-epithelial, less stem-like and therapy-sensitive phenotypes. Finally, we observed that low RKIP levels and upregulated BACH1 levels associated with worse clinical outcomes in many cancer types. Together, our systems-level analysis indicates that the emergent dynamics of underlying regulatory network enable the antagonistic patterns of RKIP and BACH1 with various axes of cancer cell plasticity, and with patient survival data.