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Results for “Synthetic Biology”

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bioRxiv2025

Condensate-based shells and scaffolds via interfacial liquid-to-solid transition of disordered peptides

Living organisms use biomolecular condensates to respond to dynamic environments and create functional materials with complex architectures. Exploring such phase-separated systems beyond the naturally occurring scenarios may offer valuable insights for emergent synthetic biosystems. Here, we report the self-assembly behavior of a short, disordered peptide sequence (termed CT45) derived from a protein present in the bioad-hesive system of tick ectoparasites. We show that CT45 spontaneously accumulates at polar-nonpolar interfaces, and further undergoes liquid-liquid and liquid-to-solid phase transitions to create mechanically stable structures. When encapsulated within vesicles and presented with a stable oil-water interface, CT45 rapidly forms solid shells, which can be reinforced by up-concentrating the material through osmotic imbalance. Unex-pectedly, when presented with a transient acetone-water interface, CT45 condenses at the evaporating interface and forms interconnected, porous mesoscopic scaffolds. The underlying mechanism is found to be the amphiphilic nature of CT45 leading to in-terfacial accumulation, enhancing intermolecular{pi} -based interactions to trigger phase transitions. The micron-sized shells exhibit appreciable mechanical strength and the porous scaffolds present a highly stable platform capable of retaining molecules. In conclusion, the presented condensate-based microscopic and mesoscopic scaffolds hold significance in customizable condensate architectures, with potential applications in biomedical engineering and synthetic biology.

bioengineering↗

bioRxiv2025

Systematic Optimization Enables Near-Perfect In Vitro Transformation Efficiencies for Spirodela polyrhiza (Greater Duckweed)

The in vitro transformation of plants, or the delivery of foreign genetic material that is incorporated into their genomes, represents a powerful tool both for elucidating genotype-phenotype relationships and for generating plant cultivars which have desirable traits for agriculture and/or biotechnological applications. However, outside of a few model species, the processes involved in transformation are often inefficient and can take months to perform for many plant species, with several bottlenecks occurring at the different stages of calli induction, genetic transfection, and plant regeneration. While duckweeds - aquatic monocots whose species include some of the smallest and fastest-growing flowering plants on the planet - have distinguished themselves with several emerging biotechnological applications, they too are the subject of conflicting reports regarding their transformation potential and ability to be genetically manipulated. Here, we synthesized and optimized the protocols for in vitro transformation of duckweed Spirodela polyrhiza (Greater Duckweed) from start-to-finish: achieving >90% - 100% efficiencies for each of calli induction; transient and stable genetic transformation; visual marker-free selection of transformants; and regeneration of genetically modified plants with stable transgene expression for over 100 generations - and which in S. polyrhiza can be achieved over the course of weeks instead of months. The integrated, streamlined approaches for all stages of in vitro transformation overcome many bottlenecks and can help to pave the way for high-throughput functional genomics studies and synthetic biology applications in this biotechnologically-important species.

plant biology↗

bioRxiv2025

A simplified and highly efficient cell-free protein synthesis system for prokaryotes

Cell-free protein synthesis (CFPS) systems are a powerful platform with immense potential in fundamental research, biotechnology, and synthetic biology. Conventional prokaryotic CFPS systems, particularly those derived from Escherichia coli (E. coli), often rely on complex reaction buffers containing up to thirty-five components, limiting their widespread adoption and systematic optimization. Here, we present an optimized E. coli cell-free protein synthesis (eCFPS) system, which is significantly streamlined for high efficiency. Through systematic screening, we successfully reduced the essential core reaction components from 35 to a core set of 7. The thorough optimization of these seven key components ensured that protein expression levels were not only maintained but even substantially improved. Furthermore, we developed a much simpler procedure for preparing the bacterial cytosolic extracts, a "fast lysate" protocol that eliminates the traditional time-consuming runoff and dialysis steps, thereby enhancing the overall accessibility and robustness of eCFPS. This optimized and user-friendly eCFPS efficiently synthesizes challenging proteins, including functional, self-assembling vimentin, and active restriction endonuclease BsaI despite its strong cytotoxicity, and serves as a powerful tool that will facilitate diverse applications in basic life science research and beyond.

biochemistry↗

bioRxiv2025

Engineering Spatial Control of Bacterial Organelles

Bacteria were once thought to lack organelles, but it is now clear they confine cellular reactions using an array of membrane- and protein-based compartments. A central question, however, is how bacterial organelles are organized in the cell, and whether their spatial control can be engineered. Here, we show that a two-protein system (McdAB) that positions carboxysomes - CO2-fixing organelles found in autotrophic bacteria - can be repurposed to provide programmable spatial control to diverse organelles in Escherichia coli. McdAB not only restores proper assembly and positioning of heterologously produced carboxysomes in E. coli, but can also be reprogrammed to spatially organize all other known types of bacterial organelles, including encapsulins, biomolecular condensates, and even membrane-bound organelles. Programmable spatial organization of bacterial organelles establishes a new design principle for synthetic biology, where the location of reactions is as tunable as their content. Our work paves the way for more efficient biocatalysis in engineered microbes.

microbiology↗

bioRxiv2025

Engineered Promoter System Enables High-efficiency Transgenic CRISPR Editing in Malaria Transmitting Mosquito Anopheles sinensis

The CRISPR/Cas9 system deployed through crosses of transgenic lines expressing Cas9 and gRNA facilitates efficient mutagenesis. However, its application in non-model insects remains limited, primarily due to a lack of well-characterized promoters capable of driving robust and stable expression of Cas9 and gRNA. In the malaria mosquito Anopheles sinensis, we evaluated several ovary-biased promoters--Asvasa2, Aszpg, and Asnanos--for driving Cas9 expression. Notably, the Asvasa2 promoter mediated mutagenesis in nearly 60% of G0 individuals following microinjection of gRNAAswhite. Among four RNA polymerase III promoters derived from AsU6 genes, AsU6-1 yielded the highest gRNA transcriptional output, enabling 62% editing efficiency in G0 offspring. In addition, hybrid crosses between established transgenic lines demonstrated that the Asvasa2-Cas9 and AsU6-1-gRNA combination enabled complete germline editing penetrance, where all F2 progeny inherited the intended mutations. This work provides a essential genetic toolkit for synthetic biology applications in Anopheles mosquitoes and a scalable framework for engineering other non-model insects.

genetics↗

bioRxiv2025

Born to Condense: Polysomes Drive Co-Translational Condensation of Biomolecular Condensate Proteins

Biomolecular condensates formed by protein liquid-liquid phase separation (LLPS) are ubiquitous in cells and play crucial roles in cellular regulation. While the physics and functions of LLPS are well studied, its interplay with protein synthesis - translation - remains largely unexplored. Here we introduce a theoretical framework for Co-Translational Condensation (CTC), in which nascent protein chains of polysomes - multiple ribosomes on one mRNA - interact with condensates, localizing translation to condensate surfaces. Using coarse-grained simulations, we show that protein domain architecture dictates the thermodynamics of CTC, consistent with a Langmuir adsorption model. Bioinformatic analysis of more than 7,500 proteins reveals that most condensate-associated proteins have architectures favoring CTC, with strong interaction regions of nascent chains exposed on polysomes. At the dynamical level, simulation and reaction-diffusion modeling reveal that CTC is kinetically feasible within typical polysome lifetimes, either through large polysomes nucleating new condensates or via diffusion to pre-existing condensates. As a case study, we demonstrate that CTC enhances post-translational modifications by minimizing unmodified intermediates. More broadly, we anticipate CTC may also influence protein folding, misfolding, and signal-integration latency. Together, our results establish CTC as a general mechanism coupling translation with phase separation, with broad implications for protein evolution, cellular organization, and synthetic biology.

biophysics↗

bioRxiv2025

Autonomous liquid-handling robotics scripting through large language models enables accessible and safe protein engineering workflows

Laboratory automation accelerates synthetic biology, but robot programming remains a barrier to broader participation. Large language model (LLM)-based automation must address four interconnected requirements in this field: sequence-level biosecurity, community standards, context-dependent biological behavior, and distributed collaboration across laboratories. Here we present LabscriptAI, an execution-aware agent framework that couples authoring and runtime control loops to translate natural-language instructions into platform-specific robot scripts and support bounded recovery under deterministic authorization and human oversight. On a 90-task liquid-handling benchmark, LabscriptAI achieved a 96.7% simulation-pass rate, the highest among the evaluated LLM-based and commercial baselines. We demonstrated its capabilities through sequence screening at designated workflow checkpoints; standardized cell-free characterization of 854 green fluorescent protein (GFP) designs from 171 student teams, coupled to data deposition; containment-aware engineering of a formaldehyde-converting enzyme, yielding 6.7-fold higher ethylene glycol titers in a two-stage cascade; and quality-assured preparation of 531 genetic parts for the 2025 iGEM Distribution Kit distributed worldwide. Together, these results establish LabscriptAI as a biosecurity-aware, community-integrated framework connecting protocol authoring, controlled execution, and traceable experimental outputs across laboratory platforms.

bioengineering↗

bioRxiv2025

Ca2+ signature-dependent control of auxin sensitivity in Arabidopsis

Plants must continually balance growth with arrest, especially under stress. Auxin signaling acts as a central regulatory hub in this process, yet the mechanisms that dynamically tune early auxin signalling in real time remain unknown. Here, we used the light-gated, Ca2+-permeable Channelrhodopsin 2 variant XXM2.0 to optogenetically impose defined Ca2+ signatures on Arabidopsis root cells. Repetitive light activation triggered cytosolic Ca2+ signals that in turn suppressed auxin-induced membrane depolarization and Ca2+ transients. Moreover, prolonged optogenetic Ca2+ stimulation affects auxin-responsive transcriptional reprogramming. As phenotypic output, reversible inhibition of root growth by suppressing cell division and elongation was observed. We further identify a candidate CaM7-CNGC14 module that likely mediates Ca2+-dependent gating of early auxin signalling. Our study thus introduces a synthetic biology approach to decompose calcium-auxin crosstalk in plant cells, and demonstrates that optogenetically imposed cytosolic Ca2+ signals act as dynamic regulators of auxin susceptibility in roots.

plant biology↗

bioRxiv2025

Evaluation of antibiotic and peptide vaccine strategies for mirror bacterial infections

Recent advances in synthetic biology have raised concerns that the creation of bacteria composed completely of mirror-image biomolecules may be possible in the coming decades. Such "mirror bacteria" could pose an unprecedented biosecurity risk, as they are predicted to be highly virulent pathogens resulting from severe immune evasion. Pharmaceutical interventions, including antibiotics and vaccines, could likely provide some limited protection in the event of a mirror bacterial outbreak. Understanding the feasibility of specific pharmaceutical antimirror strategies may help inform the appropriate measures to confront the risks of mirror bacteria. Here, we experimentally evaluated the prospects of previously proposed antimirror antibiotic and vaccine strategies. First, we assessed the expected efficacy of existing antibiotics chloramphenicol, linezolid, tedizolid, and aztreonam against mirror bacteria by characterizing the antibacterial activities of their enantiomers against natural-chirality bacteria. We found that ent-chloramphenicol, ent-linezolid, ent-tedizolid, and ent-aztreonam exhibited minimal antibiotic activity, suggesting that their parent antibiotics would be ineffective against mirror bacterial infections. Second, to explore whether the enantiomers of existing antibiotics could be suitable as antimirror antibiotics, we evaluated the acute toxicities of ent-chloramphenicol, ent-linezolid, ent-tedizolid, and ent-aztreonam in mice, finding that these compounds have favorable acute toxicity profiles compatible with their continued development. Finally, we investigated D-peptide-based approaches to antimirror vaccines, finding that three bacterially-derived D-peptides induced robust D-peptide-specific antibody responses in mice when conjugated to a carrier protein and adjuvanted. Our results support previous suggestions that the enantiomers of existing antibiotics and D-peptide conjugate vaccines represent feasible pharmaceutical strategies against mirror bacterial infections. IMPORTANCETechnologies enabling the creation of mirror bacteria--bacteria constructed of molecules that are mirror images of those found in nature--may be on the horizon. If created, mirror bacteria would likely pose an unprecedented risk to life on earth given their evasion of natural immune responses. Although they would not protect against widespread environmental damage, antibiotics and vaccines could provide some limited protection to human populations in the event of a mirror bacterial outbreak. We experimentally assessed the prospects of three antimirror strategies: repurposing existing antibiotics, developing mirror versions of existing antibiotics, and developing vaccines based on mirror-image peptides. We broadly conclude that many existing antibiotics are unlikely to be effective against mirror bacteria, while the mirror images of existing antibiotics and mirror-image peptides could serve as foundations for antimirror antibiotics and vaccines, respectively. Our findings may help inform discussions on the proper role of medical countermeasures to defend against mirror bacteria.

microbiology↗

bioRxiv2025

Evaluation of computational tools for predicting CRISPR gRNA on-target efficiency in plants.

CRISPR technologies has become an integral part of plant biotechnology, synthetic biology and basic plant research, routinely used by researchers for targeted genome modifications. CRISPR guide RNAs (gRNAs) undermines the highly programmable nature of CRISPR, enabling site-specific genome editing. However, different gRNA targets showed highly variable on-target effectiveness and poor gRNA design could amount to wasting valuable scientific resources. There has been broad development of computational and web-based tools for gRNA efficiency predictions but their performances in plant genome editing remains controversial or untested. Hence, in this study, we systematically evaluated over 20 accessible, web-based in silico gRNA on-target efficiency prediction tools using an experimental plant genome editing dataset. Excitingly, we identified multiple tools, mostly developed using machine learning, that were highly predictive of gRNA on-target genome editing efficiency in planta. The prediction scores assigned to gRNAs in the dataset by these tools were significantly correlated with the frequency of CRISPR-mediated InDels in plants. Furthermore, we evaluated efficiency prediction scores available on popular platforms such as CRISPOR and CRISPR-P which contain large numbers of non-model plant genomes. Our analysis showed that some prediction scores on CRISPOR performed quite well which allows efficient integration of on-target and off-target predictions. Overall, we believe that our study provided insights on improving gRNA design during conventional plant genome editing workflows and should also help unfamiliar researchers interested in CRISPR/SpCas9 genome editing.

plant biology↗

bioRxiv2025

Single Domain Antibody Inhibitors Target the Coiled Coil Arms of the Bacillus subtilis SMC complex

Synthetic nanobodies--also called sybodies--have proven valuable for stabilizing conformations of purified proteins, advancing structural and functional studies for example of transmembrane protein complexes. However, their utility in modulating protein function in living cells has remained less well explored. Structural Maintenance of Chromosomes (SMC) complexes facilitate chromosome organization by DNA loop extrusion, a fundamental process in all domains of life. In this study, we target the bacterial SMC complex, Smc-ScpAB, in Bacillus subtilis with synthetic nanobodies, aiming to identify key functional regions of the protein complex in a largely unbiased manner. We first isolate sybodies that specifically bind purified Smc-ScpAB and then express them in B. subtilis to select binders capable of disrupting Smc-ScpAB function, leading to chromosome segregation defects and cell death. Mapping and biochemical characterization show that the fourteen disruptive sybodies belong to one of three library designs, target the Smc subunit near the same coiled coil arm interface and modulate its ATPase activity in two principal ways, highlighting the mid-region of the Smc coiled coil as critical feature of the DNA folding process. These findings underscore the potential of sybodies--and, by extension, designed binders--as versatile tools for probing dynamic protein function in living cells, with potentially broad applications in cell and synthetic biology.

molecular biology↗

bioRxiv2025

StrucTrace: Fourier Watermarking for Traceable Bio-molecular Assets

The rise of generative artificial intelligence (GenAI) in protein and nucleic acid design has created unprecedented opportunities for synthetic biology, but also heightened the need for reliable provenance and intellectual-property protection. To meet this challenge, we present a Fourier domain watermarking framework that encodes digital identifiers directly into three-dimensional biomolecular structures. By perturbing only flexible backbone atoms and embedding information through frequency domain modulation, the method achieves imperceptible alterations while ensuring deterministic and reversible decoding. Large-scale validation on over 40,000 protein structures demonstrates its robustness: structural deviations remain orders of magnitude below biological thresholds, watermarks are recovered with perfect accuracy, and functional analyses confirm stability at both thermodynamic and dynamic levels. Beyond technical performance, the approach provides a foundation for a broader ecosystem of secure biomolecular asset management, integrating provenance verification, access control, and digital rights management. Together, these advances establish biomolecules as traceable and auditable digital assets, aligning the future of bio-design with emerging standards for trustworthy AI.

bioinformatics↗

bioRxiv2025

Dynamic and Catalytic Multiphase Coacervates

Subcellular organization is critical for myriad cellular functions, including spatiotemporal regulation of biocatalysts. Liquid-liquid phase separation contributes to intracellular organization by providing microenvironments that sequester biomolecules and control their activities. Although catalytic reactions in multiphase coacervate systems are important for living cells, provide functionality to artificial systems, and may aid understanding of how metabolism first arose, they are not well understood. Here we report an artificial multiphase system in which catalytically active droplets containing three distinct coexisting coacervate phases undergo reorganization in response to pH, enabling control over chemical reactions. Catalysis is performed by an inner, polyhistidine-dense coacervate phase with inherent nonenzymatic activity. We show how phase composition, in addition to pH, affects catalytic activity, and how the addition of enzymes that alter local pH provides a means to regulate composition and catalysis. By exploiting competitive interplay between intramolecular self-association and intermolecular complexation among polymers within multiphase coacervate systems, it was possible to (re)organize and tune the reactivity of dynamic synthetic biological systems beyond what is possible for single-phase coacervates. Such approaches could prove valuable in designing artificial cells and related microreactor systems capable of catalyzing and controlling complex chemical and biochemical processes.

biochemistry↗

bioRxiv2025

Cryo-EM Structures of Methanogenic Schizorhodopsins Reveal Divergent Strategies for Proton Transport and Thermal Adaptation

Schizorhodopsins (SzRs) are light-driven inward proton pumps found in Asgard archaea, contrasting with most microbial rhodopsins that export protons. Some SzRs, including Methanoculleus taiwanensis SzR (MtSzR) and Methanoculleus sp. SzR (MsSzR), exhibit remarkable heat tolerance, suggesting structural adaptations to extreme environments. Here, we report cryo-electron microscopy structures of MtSzR and MsSzR at 2.4 and 2.7 [A] resolutions, respectively, revealing distinct mechanisms for proton transport and thermostability. Both proteins share a cytoplasm-facing proton acceptor, yet MtSzR employs a hydrophobic gating mechanism, whereas MsSzR lacks this barrier and stabilizes its acceptor through a salt-bridge network. Thermostability also diverges: MtSzR relies on proline-rich loops and electrostatic interactions, while MsSzR achieves stability through reinforced trimerization and extensive interhelical aromatic packing. Structural and mutational analyses highlight the adaptability of SzRs and provide a framework for engineering robust photoreceptors for optogenetics and synthetic biology.

biophysics↗

bioRxiv2025

An engineered closed-shell, two-component, 480-subunit nucleocapsid

Self-assembling protein cages are powerful nanoscale containers for biotechnology and medical applications. Two-component systems are especially attractive due to their potential for functional complexity. In this study, we demonstrate that the subunits of the 240mer nucleocapsid NC-4, which was previously evolved to package and protect its encoding mRNA, can be split into two fragments without disrupting cage assembly or structure, generating a two-component, 480-subunit capsid. This modification introduces additional termini on the cages exterior surface, creating new opportunities for functionalization. We exploited these new sites by genetically appending peptide and protein tags to the exterior surface of split NC-4 (spNC-4), enabling site-specific glycosylation via post-translational modification and cell-specific delivery by targeted antibody recruitment. Our findings broaden the utility of the NC-4 nucleocapsid. By extension, splitting related protein compartments that bind diverse cargoes could offer a robust platform for biotechnological applications requiring simultaneous encapsulation and customizable surface modification. SIGNIFICANCE STATEMENTNatural protein shells such as viral capsids and bacterial microcompartments have inspired efforts to design synthetic compartments that protect and deliver functional molecules. Here we show that a nonviral, artificially evolved nucleocapsid can be split into two fragments that reassemble into a closed, two-component, 480-subunit cage that packages its own mRNA. This redesign preserves the original architecture and selective RNA packaging while creating new engineerable sites on both the interior and exterior surfaces, enabling simultaneous control of internal cargo binding and external modification. The resulting two-component architecture highlights the structural plasticity of synthetic nucleocapsids and provides a general strategy for constructing modular, evolvable protein containers for biotechnology and synthetic biology.

biochemistry↗

bioRxiv2025

Transforming a Fragile Protein Helix into an Ultrastable Scaffold via a Hierarchical AI and Chemistry Framework

The rational design of proteins that maintain structural integrity under concurrent thermal, mechanical, and chemical stress remains a challenge in molecular engineering. We present a hierarchical framework that transforms an -helical domain into an ultrastable scaffold by integrating AI-guided design with foundational chemical principles. This approach progresses from global architectural reinforcement, using multiple AI tools to create a stabilized four-helix bundle, to local chemical tuning, where AlphaFold3 guides the installation of salt bridges and metal-coordination motifs. A computational pipeline using physics-based screening such as molecular dynamics (MD) simulations efficiently distilled millions of designs into a minimal candidate set. The resulting -helical proteins exhibit unprecedented multi-axis stability, with mechanical unfolding forces exceeding 200 pN, thermal resilience >100 {degrees}C, and high resistance to chemical denaturants. By systematically dissecting the contributions of hydrophobic packing, electrostatics, and metal coordination, we establish a general blueprint for imparting extreme robustness. This work bridges AI-driven structural generation with chemical precision, advancing the creation of durable proteins for mechanistic studies and synthetic biology.

biophysics↗

bioRxiv2025

The halophilic archaeon Halogranum roseipondis sp. nov. is susceptible to a virus carrying an exceptionally high number of viral tRNA genes

Archaea constitute a diverse group of organisms, many of which inhabit extreme environments, such as haloarchaea that dominate hypersaline ecosystems, like solar salterns. Although sampling of solar salterns and other hypersaline environments have resulted in numerous haloarchaeal isolates, including 3 classified and 25 unclassified Halogranum species, no complete genome has been reported for any member of this genus. Here we present the first comprehensive study of Halogranum sp. SS5-1 isolated from a solar saltern in Samut Sakhon, Thailand. Hgn. SS5-1 is a pleomorphic, aerobic heterotroph that thrives in high salinity and moderate temperature and is capable of hydrolysing starch. Its genome consists of a 3.6 Mbp chromosome and seven additional plasmids. Based on our phylogenetic analyses, which establish Hgn. SS5-1 as a distinct species, we propose that it will be classified as the novel species Halogranum roseipondis sp. nov. SS5-1T. Additionally, we report that Hgn. roseipondis sp.nov. SS5-1T is infected by Hagravirus capitaneum (HGTV-1), the only virus known to infect a Halogranum host. HGTV-1 exhibits a unique head-tailed morphology and encodes the largest archaeal virus dsDNA genome known to date, including 34 tRNA encoding genes. Codon usage analysis of the viral genome suggests partial alignment with host preferences, yet the abundance of viral tRNA genes hints to broader roles, potentially including translation modulation. This study establishes Hgn. roseipondis and HGTV-1 as a novel virus-host system, opening avenues to explore infection dynamics and the roles of virus-encoded tRNA in archaea. ImportanceArchaea that thrive in high-salinity environments are key players in geochemical cycles and the primary producers in their habitat. Despite their ecological significance and importance for the development of novel applications in synthetic biology, haloarchaea remain poorly studied. For example, exploration of haloarchaea is required to understand the evolution of cellular complexity and the molecular mechanisms that allow cells to thrive in harsh environmental conditions. In this study, we characterize a novel archaeon, Halogranum roseipondis sp. SS5-1T, alongside the infection cycle of its associated virus, Hagravirus capitaneum. This tailed myovirus carries an extraordinary set of 34 viral tRNA genes, a feature that opens intriguing questions about virus-host interactions and translational control. Our findings lay the groundwork for future investigations into the expression and function of viral tRNAs in an archaeal model system, thereby enabling the study of archaeal translation and virus-driven modulation of host cellular processes.

microbiology↗

bioRxiv2025

Computational Cellular Programming: In Silico Modeling of Direct and Reprogrammed Hepatic Lineage Induction via Gene Regulatory and Functional Dynamics

Understanding how cellular identity emerges from regulatory and energetic interactions remains a central question in developmental and synthetic biology. Here, we introduce a computational framework for in silico cellular programming, enabling the simulation of lineage acquisition through gene-regulatory and functional feedback dynamics. Two paradigms of hepatic identity induction were modeled: direct programming, representing immediate activation of hepatocyte master regulators from an undifferentiated baseline, and reprogramming, representing the conversion of a lineage-committed fibroblast into a hepatocyte-like state. Each simulation integrates a minimal hepatocyte gene regulatory network--comprising HNF4A, FOXA2, CEBPA, ALB, CYP3A4, and HNF1A--with condition-dependent feedbacks reflecting metabolic and morphological stability. Comparative analyses reveal that direct programming rapidly converges to a stable hepatic attractor with low variance and tight network coherence, whereas reprogrammed trajectories display delayed stabilization, higher variance, and context-dependent adaptability. These findings demonstrate that functional maturity can be algorithmically achieved through feedback-driven regulatory dynamics, and that morphological order predicts metabolic coherence. Together, they establish a conceptual foundation for computational cellular programming--where cell identity can be represented, manipulated, and matured as an emergent property of coded regulatory logic.

systems biology↗