Biology subjects

Mitchell, T.

Publications and source records attributed to Mitchell, T..

At least 19 recordsLinked to original sources

bioRxiv2026

Identifying cytokine-release signatures of flow-driven endothelial remodelling in an intracranial aneurysm cell culture model

Intracranial aneurysm (IA) rupture is catastrophic, yet current models of rupture-risk inadequately capture underlying IA remodelling mechanisms. Endothelial-haemodynamic interactions are central to these processes, but in vitro flow platforms often lack vessel-relevant geometry or long-term perfusion. Here, temporal and spatial endothelial responses to haemodynamic stress were investigated across idealised and patient-specific vascular models. Polydimethylsiloxane models were endothelialised with human aortic endothelial cells then perfused at up to 1.6 Pa wall shear stress for five days. IA models were exposed to steady or cardiovascular flow waveforms, with endothelial phenotype assessed by immunofluorescence and cytokine profiling. Flow initiation induced a transient inflammatory response, with elevated MCP-1 and TNF- at day two, followed by a resolution of cytokine levels by day five, including a [~]7.5-fold reduction in MCP-1, despite increased haemodynamic loading. Endothelial cells retained a cobblestone-like morphology with eNOS undetected, resembling a partially activated phenotype. Compared with steady flow, cardiovascular flow reduced TGF-{beta}1 and IL-8 secretion and decreased FGF-b consumption ([~]2.5 fold), suggesting enhanced phenotypic stability. This study presents the first in vitro IA model incorporating a cardiovascular flow waveform and identifies cytokine signatures with potential utility as biomarkers of IA remodelling, highlighting the importance of long-term perfusion for modelling chronic vascular disease. Table of Contents FigureAn in vitro model of an intracranial aneurysm was developed to investigate how fluid flow dynamics impact endothelial remodelling and inflammation. Pulsatile cardiac flow promoted stabilisation of inflammatory signalling, which was sustained under a steady flow regime. Cytokine signatures emerged with potential utility as biomarkers of IA remodelling, highlighting the importance of long-term perfusion for modelling chronic vascular disease. The schematic of the cytokine release dynamics used in the graphical abstract below was generated with the assistance of AI-based tools including ChatGPT (v5.5) and M365 Copilot to align with key results from this manuscript. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=182 SRC="FIGDIR/small/733289v1_ufig1.gif" ALT="Figure 1000"> View larger version (80K): org.highwire.dtl.DTLVardef@709204org.highwire.dtl.DTLVardef@825f81org.highwire.dtl.DTLVardef@14c345eorg.highwire.dtl.DTLVardef@222a8_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioengineering↗

bioRxiv2026

Liver organoid-mediated cyclophosphamide neurotoxicity in CNS organoids in a multi-organ microphysiological system

Cyclophosphamide (CP) is a widely used alkylating agent whose cytotoxic activity depends on hepatic CYP450-mediated bioactivation. While CP-associated neurotoxicity and cognitive impairment are recognized clinically, the mechanisms of secondary organ damage through metabolic cross-talk remain poorly understood due to limitations of conventional monoculture models. Here we employ a multi-organ microphysiological system (MPS) connecting stem cell derived liver and CNS organoids via microfluidic channels to model inter-organ drug metabolism and secondary toxicity. Liver organoids were treated with CP (0-200 {micro}M) for 48 hours, and connected CNS organoids were assessed for secondary damage by confocal Z-stack imaging of DNA damage ({gamma}H2AX), neuronal identity (NeuN), and nuclear content (DAPI). We observe dose-dependent reduction in NeuN expression and {gamma}H2AX signal in connected CNS organoids, consistent with neurotoxic metabolite transfer from liver. Critically, CNS-to-CNS control connections show no comparable damage at equivalent CP concentrations, confirming that hepatic metabolism is required for CNS toxicity. These findings validate the MPS platform for modelling multi-organ drug toxicity and provide direct evidence that liver-derived CP metabolites drive secondary neurotoxicity through inter-organ metabolic communication.

bioengineering↗

bioRxiv2026

Developing a Standard Definition for Sequences of Concern

Readily available nucleic acid synthesis is both critical for the bioeconomy and an increasingly pressing security concern due to the potential for accidental or deliberate misuse. While biosecurity experts broadly agree that nucleic acid providers should screen orders for potential "sequences of concern," there has previously been no agreed standard for how to define and recognize such sequences. To address this gap, we first organized a test set of 1.1 million sequences from pathogens and toxins on the Australia Group Common Control Lists and their non-controlled relatives, along with model organisms and synthetic constructs. An initial categorization of sequences as to whether or not they were sequence of concern was produced by comparing the results of four biosecurity screening systems for each of these sequences, finding that these systems already agreed on the categorization of more than 80% of sequences. We then refined these results through a science-based stakeholder review process to define a rubric for determining whether a sequence should be flagged as a potential sequence of concern, then applied this rubric to improve the categorization of test sets. The result is a rubric that identifies sequences of concern with respect to human pandemic-potential viruses, key classes of low-risk genes, and controlled toxins. Applying this rubric to the test set collection has reduced the number of test sequences with disputed categorization by 44.3% for controlled viruses and 10.7% across the test set as a whole. Together, these results provide a concrete "sequence of concern" definition that can be used as a foundation for development of biosecurity screening standards and policy.

bioinformatics↗

bioRxiv2026

The Limits of Sequence-Based Biosecurity Screening Tools in the Age of AI-Assisted Protein Design

Rapid advancements in AI have enabled significant progress in protein and nucleic acid design, but they also pose biosecurity challenges. We examine the vulnerabilities of biosecurity screening software (BSS) to AI-reformulated synthetic homologs of proteins of concern (POCs) that have been fragmented into smaller segments. We evaluate four BSS tools that were recently patched to enhance their AI resiliency. Without any further modification, we found that two of the four tools were capable of robustly detecting fragments as short as 50 nucleotides, demonstrating screening capabilities that exceed those requested in the U.S. Framework for Nucleic Acid Synthesis. Upgraded versions of the other two tools improved performance. Although our findings confirm the effectiveness of the tested BSS tools, at the same time, they emphasize the urgency of developing alternate BSS approaches to counter evolving AI-enabled biosecurity risks.

synthetic biology↗

bioRxiv2026

Selective Sugar Transport Supports Proteus mirabilis Fitness in the Urinary Tract

Proteus mirabilis is a leading cause of complicated urinary tract infections (UTIs). Prior work showed P. mirabilis metabolizes sugars during experimental UTI, yet the role of sugar import systems in pathogenesis remains poorly defined. To investigate this, we generated a panel of 47 targeted mutants in predicted sugar transporter genes and assessed their growth in vitro and fitness in vivo. Growth screening in nutrient-rich and minimal media revealed carbon source-dependent defects in several phosphotransferase system (PTS) mutants, including ptsH and ptsI. Pooled insertion sequencing (In-seq) identified xapB, ptsH, and ptsI as in vivo fitness factors, with validation in a traditional murine co-challenge model. Functional studies showed that xapB, annotated as a xanthosine permease, did not support xanthosine or guanosine uptake in P. mirabilis, suggesting misannotation. Dissection of the PTS network revealed that a triple mutant lacking scrA, ulaC, and ptsG recapitulated the ptsH phenotype in vivo. To evaluate whether increased sugar availability exacerbates these defects, we modeled glucosuria using the SGLT2 inhibitor dapagliflozin in CBA/J mice. Dapagliflozin treatment significantly increased urinary glucose and enhanced P. mirabilis colonization. There was an inverse correlation between colonization and urinary glucose, but only in untreated mice. These findings reveal limitations in genome-based transporter annotation, establish a functional link between sugar import and P. mirabilis fitness during UTI, and demonstrate that host metabolic conditions such as glucosuria can influence the severity of infection. AUTHOR SUMMARYAll living organisms require nutrients to grow, survive, and cause disease. Bacteria like Proteus mirabilis, which causes urinary tract infections, rely on specialized systems to import and metabolize sugars available in the host environment. In this study, we systematically disrupted 47 genes predicted to encode sugar transporters in P. mirabilis and tested their contribution to infection in a mouse model. We identified three key genes (xapB, ptsH, and ptsI) that were critical for colonization. Further analysis showed that many sugar transporters in P. mirabilis were misannotated, and predicted substrates like sucrose and cellobiose were not utilized by the bacterium. We also demonstrated that high sugar conditions, mimicking diabetic urine using the drug dapagliflozin, worsened infection and increased disease severity. These results highlight the importance of carbohydrate acquisition for P. mirabilis during infection and emphasize the need to experimentally validate gene function rather than rely on predictions based on other bacteria like E. coli.

microbiology↗

bioRxiv2025

Computational reconstruction of Tyrannosaurus rex collagen for biomanufacturing of paleo-inspired biomaterials with tuneable stiffness

Ancient protein fragments preserved in fossilized tissues offer evolutionary sequence information inaccessible through conventional genomics. Here we demonstrate computational reconstruction of full-length Tyrannosaurus rex type I collagen (COL1A1) by integrating paleo-proteomics data with protein language models. Using TOC large protein model with pattern-constrained generation to maintain collagens Gly-X-Y triplet architecture, we generated five computationally designed sequences incorporating validated T. rex peptide fragments. These generated variants maintain triple helix structural features (23.0% Gly-X-Y content) and exhibit enhanced lysine content (up to 84 residues vs. 57 in wild-type chicken) to increase enzymatic crosslinking capacity. To enable spatial and temporal control of material properties such as stiffness, we engineered a doxycycline-inducible lysyl oxidase-4 (LOX4) expression system in TOC t-rex cell line that achieved 9-fold enzyme induction. This biomimetic approach, inspired by functionally graded fish scale architecture, decouples constitutive collagen production from inducible crosslinking, enabling biomanufacturing of materials with tuneable mechanical gradients. We validate stable transgene integration, confirm tight transcriptional control, and demonstrate system compatibility with scalable cell culture. This work establishes a platform combining paleo-proteomics, protein language modelling, and bioinspired engineering to produce next-generation biomaterials from computationally reconstructed extinct proteins.

bioengineering↗

bioRxiv2025

Taxonomy-free fecal microbiome profiles enable robust prediction of immunotherapy response and toxicity in melanoma

The gut microbiome has been causally linked to the efficacy of immune-checkpoint inhibitor therapy (ICI), prompting numerous clinical trials of microbiome-targeting strategies. Yet, mechanisms by which gut microbiota shape immune responses remain elusive as taxonomic biomarkers have failed to generalize across multiple cohorts. In this study, we develop a taxonomy-agnostic framework to identify microbial biomarkers of ICI response and immune-related adverse event (irAE) occurrence from metagenomic sequencing. Applying this approach to four independent melanoma cohorts from clinical centers across the United States, we uncover gut microbial proteins produced by diverse bacterial taxa that consistently predict ICI response. Notably, we uncover a previously uncharacterized operon involved in cellular redox homeostasis that is encoded by different bacteria and reliably predicts irAE occurrence. We further validated the predictive power of this operon in a prospectively sequenced melanoma cohort. Our results demonstrate that taxa-agnostic microbial protein biomarkers are robust, generalizable, and provide a path towards pretreatment risk stratification for melanoma patients initiating ICI therapy.

cancer biology↗

bioRxiv2025

Differential regulation of TCR-induced ZFP36 and ZFP36L1 expression by cyclosporin A in CD8+ T cells

CD8+ T cells target infected or malignant cells via the production of pro-inflammatory cytokines and direct target cell killing. Members of the ZFP36-family of RNA binding proteins, ZFP36 and ZFP36L1 regulate these functions in T cells via the regulation of mRNA stability and protein translation. We investigate the regulation of ZFP36 and ZFP36L1 expression using in vitro differentiated OT1 TCR transgenic memory-like T cells. We characterise the differential kinetics and sensitivity of ZFP36 and ZFP36L1 to antigen affinity and PMA versus ionomycin stimulation. By selectively inhibiting TCR-induced signalling pathways, we find that p38 MAPK, MEK1/2 and PKC contribute to inducing both ZFP36 and ZFP36L1 expression. By contrast, inhibition of calcineurin using cyclosporin A potently inhibits ZFP36L1 expression while increasing and prolonging ZFP36 expression. The Zfp36 promoter contains many binding sites for the transcription factors ELK-1/4 and few binding sites for NFAT, while the Zfp36l1 promoter contains many NFAT binding sites and few ELK1/4 binding sites. Our findings suggest that regulation of divergent transcription factors enable calcineurin to act as a signalling node that mediates the differential regulation of ZFP36 and ZFP36L1 during T cell activation.

immunology↗

bioRxiv2025

Carnosinylation of Cardiac Antigens Attenuates Immunogenic Responses and Improves Function in Failing Hearts

ObjectiveTo investigate the effects of carnosine on heart failure and to examine whether this is associated with reduced immunogenicity of oxidatively-generated aldehyde modified proteins. BackgroundHeart failure is associated with the accumulation of lipid derived aldehydes that form immunogenic protein adducts. However, the pathological impact of these aldehydes and aldehyde-modified proteins in heart failure has not been assessed. Histidyl dipeptides, such as carnosine found in the heart, bind to aldehydes, and their protein adducts. However, the effects of carnosine on heart failure or the antigenicity of aldehyde modified proteins have not been studied. MethodsMale, wild type C57BL/6J mice were subjected to either sham or transverse aortic constriction (TAC) surgery. To increase carnosine levels, they were placed on drinking water with or without {beta}-alanine prior to surgery, and for the remainder of the study. Cardiac function was evaluated by echocardiography, and the levels of histidyl dipeptides, immune cell populations, and CD4+ T cell activation were assessed via LC-MS/MS and flow cytometry, respectively. ResultsMyocardial levels of histidyl dipeptides decreased at both 3- and 8-weeks post-TAC. Supplementation with {beta}-alanine increased myocardial histidyl dipeptide levels, attenuated adverse cardiac remodeling, and reduced aldehyde stress. Carnosine formed covalent bond with protein-bound aldehydes in the failing heart, reducing their antigenic potential and decreasing activation of dendritic cells and CD4+ T cells in vitro. {beta}-alanine supplementation decreased the population of CD11b+CD64-Ly6G+ neutrophils and CD4+ CD44+ effector T cells in the failing heart. ConclusionsIncreasing myocardial carnosine levels reduces aldehyde stress, dampens maladaptive immune responses, and preserves cardiac function during heart failure. HIGHLIGHTSO_LILevels of endogenous dipeptide carnosine are depleted in failing hearts, while supplementation of the carnosine precurson {beta}-alanine increases myocardial carnosine and preserves cardiac function during heart failure. C_LIO_LIHeart failure is associated with increased activation and infiltration of CD4+ T cells and generation of aldehyde modified protein adducts in failing hearts. C_LIO_LIThe free aldehyde moiety of aldehyde modified protein adducts activates CD4+ T cells through dendritic cell presentation and capping this moiety with carnosine diminishes their antigencity. C_LIO_LIIncreasing myocardial carnosine levels diminishes aldehyde stress and activation of CD4+ T cells during heart failure. C_LI GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=199 SRC="FIGDIR/small/671840v2_ufig1.gif" ALT="Figure 1"> View larger version (42K): org.highwire.dtl.DTLVardef@28fc7corg.highwire.dtl.DTLVardef@d851ccorg.highwire.dtl.DTLVardef@1e24a5dorg.highwire.dtl.DTLVardef@18023b6_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

bioRxiv2025

Mapping and reprogramming microenvironment-induced cell states in human disease using generative AI

Tissue microenvironments reprogram local cellular states in disease, yet current computational spatial methods remain descriptive and do not simulate tissue perturbation. We present MintFlow, a generative AI algorithm that learns how the tissue microenvironment influences cell states and predicts how tissue perturbations can reprogram them. Applied to three human diseases, MintFlow uncovered distinct pathogenic spatial reprogramming in inflammatory and tumor microenvironments. In atopic dermatitis, MintFlow identified a novel, spatially-imprinted, type 2 (IL13+ITGAE+) epidermal T resident memory cell population (type 2 TRM), and decoded signaling pathways within the perivascular lymphoid niche. In melanoma, MintFlow identified fibrotic stroma resembling keloid scar tissue. In kidney cancer, MintFlow resolved immunosuppressed CD8+ T cell states within tertiary lymphoid structures. Furthermore, MintFlow enabled in silico perturbations of disease-relevant cell states and tissue environments. Regulatory T cell modulation in atopic dermatitis was predicted to suppress the pro-inflammatory tissue environment, supporting manipulation of these cells as a therapeutic target. In kidney cancer, in silico T cell replacement recapitulated immune checkpoint blockade, while spatially targeted macrophage depletion reverted immunosuppressed T cell states. The corresponding gene programs correlated with survival in large kidney cancer patient cohorts. Together, these findings position MintFlow as a tool for unbiased disease mechanism prediction and in silico perturbation, accelerating translational hypothesis generation and guiding therapeutic strategies.

genomics↗

bioRxiv2025

DR5 CAR-T cells target solid tumors and suppress MDSCs with minimal toxicity

Chimeric antigen receptor (CAR) T cell therapies have poor efficacy in solid tumors due to limited target specificity and an immunosuppressive tumor microenvironment. We investigated death receptor 5 (DR5) as a CAR target based on its high expression in both solid tumors and myeloid- derived suppressor cells (MDSCs). We engineered agonistic DR5-specific CAR constructs and evaluated their activity in multiple models, demonstrating DR5-expression-dependent tumor killing, confirmed by knockout and overexpression experiments. DR5-targeting single-chain variable fragments retained their pro-apoptotic activity when expressed on non-effector cells or extracellular vesicles. Among multiple CAR designs, we identified a construct with optimized binding affinity that maintained T cell viability while preserving strong tumor and MDSC-killing potency. To assess safety and efficacy in an immunocompetent setting, we also developed a murine DR5-targeted CAR. In multiple xenograft and syngeneic mouse models, DR5 CAR-T cells reduced tumor growth, prolonged survival, and did not cause detectable toxicity. In patient- derived organoids and tissue slices, DR5 CAR-T cells infiltrated tumor tissues, reduced MDSCs, boosted CD8+ T cell activity, and inhibited tumor growth. These findings support DR5-targeted CAR-T therapy as a promising strategy for treating solid tumors, which combines direct tumor cytotoxicity with immune activation and minimizes off-target effects. TeaserDR5 CAR-T cells eliminate tumor cells and MDSCs and activate tumor-resident CD8+ T cells within the TME.

cancer biology↗

bioRxiv2025

Inter-tool analysis of a NIST dataset for assessing baseline nucleic acid sequence screening

Nucleic acid synthesis is a dual-use technology that can benefit fields such as biology, medicine, and information storage. However, synthetic nucleic acids could also potentially be used negligently and ultimately cause harm, or be used with malicious intent to cause harm. Thus, this technology needs to be appropriately safeguarded. Sequence screening is one component of a biosecurity protocol for preventing such harm and consists of differentiating Sequences of Concern (SOCs) from benign sequences that are not associated with pathogenicity or toxicity. There exist many fit-for-purpose tools that have been developed for DNA synthesis sequence screening. However, questions remain regarding their performance with respect to consistency of screening. To aid in determining if screening tools are harmonized in regard to baseline sequence screening, NIST constructed a test dataset based on current screening recommendations. NIST then sent blinded datasets to sequence screening tool developers for testing. Overall, there was a general agreement between the tools and NIST assignments of the sequences and all tools had a baseline performance of greater than 95% sensitivity and 97% accuracy. Disagreement on specific sequences largely arose from single tools and could be traced to differences in defining a SOC and/or methodological differences in screening algorithms.

bioinformatics↗

bioRxiv2025

Defending Synthetic DNA Orders Against Splitting-Based Obfuscation

Biosecurity screening of synthetic DNA orders is a key defense against malicious actors and careless enthusiasts producing dangerous pathogens or toxins. It is important to evaluate biosecurity screening tools for potential vulnerabilities and to work responsibly with providers to ensure that vulnerabilities can be patched before being publicly disclosed. Here, we consider a class of potential vulnerabilities in which a DNA sequence is obfuscated by splitting it into two or more fragments that can be readily joined via routine biological mechanisms such as restriction enzyme digestion or splicing. We evaluated this potential vulnerability by developing a test set of obfuscated sequences based on controlled venoms, sharing these materials with the biosecurity screening community, and collecting test results from open source and commercial biosecurity screening tools, as well as a novel Gene Edit Distance algorithm specifically designed to be robust against splitting-based obfuscations.

bioinformatics↗

bioRxiv2024

Toward AI-Resilient Screening of Nucleic Acid Synthesis Orders: Process, Results, and Recommendations

Fast-moving advances in AI-assisted protein engineering are enabling breakthroughs in the life sciences that promise numerous beneficial applications. At the same time, these new capabilities are creating potential biosecurity challenges by providing new pathways to intentional or accidental synthesis of genes that encode hazardous proteins. The synthesis of nucleic acids is a key choke point in the AI-assisted protein engineering pipeline as it is where digital designs are transformed into physical instructions that can produce potentially harmful proteins. Thus, one focus for efforts to enhance biosecurity in the face of new AI-enabled capabilities is on bolstering the screening of orders by nucleic acid synthesis providers. We describe a multistakeholder, cross-sector effort to address biosecurity challenges with uses of AI-powered biological design tools to reformulate naturally occurring proteins of concern to create synthetic homologs that have low sequence identity to the wild-type proteins. We evaluated the abilities of traditional nucleic acid biosecurity screening tools to detect these synthetic homologs and found that, of tools tested, not all could previously detect such AI-redesigned sequences reliably. However, as we report, patches were built and deployed to improve detection rates over the course of the project, resulting in a final mean detection rate over tools of 97% of the synthetic homologs that were determined, using in-silico metrics, to be more likely to retain wild-type-like function. Finally, we make recommendations on approaches for studying and addressing the rising risk of adversarial AI-assisted protein engineering attacks like the one we identified and worked to mitigate.

synthetic biology↗

bioRxiv2023

Zfp36l1 establishes the high affinity CD8 T cell response by directly linking TCR affinity to cytokine sensing

How individual T cells compete for and respond to IL2 at the molecular level, and, as a consequence, how this shapes population dynamics and the selection of high affinity clones is still poorly understood. Here we describe how the RNA binding protein ZFP36L1, acts as a sensor of TCR affinity to promote clonal expansion of high affinity CD8 T cells. As part of an incoherent feed forward loop ZFP36L1 has a non-redundant role in suppressing negative regulators of cytokine signalling and mediating a selection mechanism based on competition for IL2. We suggest that ZFP36L1 acts as a sensor of antigen affinity and establishes dominance of high affinity T cells by installing a hierarchical response to IL2.

immunology↗

bioRxiv2023

Loss Of Chromodomain of Male-Specific Lethal 3 (MSL3) Does Not Affect Spermatogenesis In Rodents

Msl3 is a member of the chromatin-associated male-specific lethal MSL complex which is responsible for the transcriptional upregulation of genes on the X chromosome in males Drosophila. Although the dosage complex operates differently in mammals, the Msl3 gene is conserved from flies to humans. Msl3 is required for meiotic entry during Drosophila oogenesis. Recent reports indicate that also in primates, Msl3 is expressed in undifferentiated germline cells before meiotic entry. However, if Msl3 plays a role in the meiotic entry of mammals has yet to be explored. To study this, we used mouse spermatogenesis as a study model. Analyses of single cells RNA-seq data revealed that, in mice, Msl3 is mostly expressed in meiotic cells. To test the role of Msl3 in meiosis, we used a male germline-specific Stra8-iCre driver and a newly generated Msl3flox conditional knock-out mouse line. Msl3 conditional loss-of-function in spermatogonia did not cause spermatogenesis defects or changes in the expression of genes related to meiosis. Our data suggest that, in mice, Msl3 exhibits delayed expression compared to Drosophila and primates, and loss-of-function mutations disrupting the chromodomain of Msl3 alone do not impede meiotic entry in rodents.

developmental biology↗

bioRxiv2022

Computational Prediction of Synthetic Circuit Function Across Growth Conditions

A challenge in the design and construction of synthetic genetic circuits is that they will operate within biological systems that have noisy and changing parameter regimes that are largely unmeasurable. The outcome is that these circuits do not operate within design specifications or have a narrow operational envelope in which they can function. This behavior is often observed as a lack of reproducibility in function from day to day or lab to lab. Moreover, this narrow range of operating conditions does not promote reproducible circuit function in deployments where environmental conditions for the chassis are changing, as environmental changes can affect the parameter space in which the circuit is operating. Here we describe a computational method for assessing the robustness of circuit function across broad parameter regions. Previously designed circuits are assessed by this computational method and then circuit performance is measured across multiple growth conditions in budding yeast. The computational predictions are correlated with experimental findings, suggesting that the approach has predictive value for assessing the robustness of a circuit design.

synthetic biology↗

bioRxiv2022

Robustness and reproducibility of simple and complex synthetic logic circuit designs using a DBTL loop

Computational tools addressing various components of design-build-test-learn loops (DBTL) for the construction of synthetic genetic networks exist, but do not generally cover the entire DBTL loop. This manuscript introduces an end-to-end sequence of tools that together form a DBTL loop called DART (Design Assemble Round Trip). DART provides rational selection and refinement of genetic parts to construct and test a circuit. Computational support for experimental process, metadata management, standardized data collection, and reproducible data analysis is provided via the previously published Round Trip (RT) test-learn loop. The primary focus of this work is on the Design Assemble (DA) part of the tool chain, which improves on previous techniques by screening up to thousands of network topologies for robust performance using a novel robustness score derived from dynamical behavior based on circuit topology only. In addition, novel experimental support software is introduced for the assembly of genetic circuits. A complete design-through-analysis sequence is presented using several OR and NOR circuit designs, with and without structural redundancy, that are implemented in budding yeast. The execution of DART tested the predictions of the design tools, specifically with regard to robust and reproducible performance under different experimental conditions. The data analysis depended on a novel application of machine learning techniques to segment bimodal flow cytometry distributions. Evidence is presented that, in some cases, a more complex build may impart more robustness and reproducibility across experimental conditions.

synthetic biology↗