Biotechnology and Bioengineering

Human pluripotent stem cells (hPSCs) hold significant promise for regenerative medicine, yet optimizing their expansion in three-dimensional bioreactor systems remains challenging due to complex interactions between mechanical forces, metabolic constraints, and aggregate formation dynamics. This study developed and validated a mechanistic mathematical model to predict hPSC proliferation dynamics in vertical-wheel bioreactor (VWBR) systems, incorporating the effects of shear stress and energy dissipation rate (EDR) on cell growth and aggregate dynamics. Seven model variants employing different kinetic formulations for shear stress and energy dissipation rate effects were systematically evaluated through model selection, identifiability analyses, and experimental validation. Experimental data from six bioreactor conditions varying in initial cell density (2 x 104-15 x 104 cells/mL), agitation rate (30-60 RPM), and working volume (100-500 mL) were used for model calibration and selection. Bayesian Information Criterion analysis identified a model combining Michaelis-Menten kinetics for shear stress inhibition with a EDR-mediated aggregate detachment formulation as the best-performing variant, achieving a Mean Relative Prediction Error of 13.97%, comparable to the experimental variability of 16.29%. Independent validation experiments using leave-out data gathered under different media exchange schedules confirmed model accuracy with prediction errors below 14%, consistent with observed experimental variability around 12%. The validated model was used to optimize the media exchange protocol, leading to a 37.5% reduction in media consumption with only a 13.5% reduction in final cell yield, demonstrating its utility for prospective, quantitative bioprocess design in VWBR systems.

PurposeLarge quantities of human pluripotent stem cells (hPSCs) are required for clinical applications. 3D suspension cultures are suitable for large scale manufacturing of hPSCs but yield, viability and quality are affected by the hydrodynamic environment. This paper characterizes the hydrodynamic environment inside vertical wheel bioreactors (VWBRs) as a function of size and agitation rates, measures its effect on cell aggregation and proliferation, and proposes the use of Lagrangian-based shear stress and energy dissipation rate (EDR) exposures to support scale-up. MethodsIn silico: Transient, 3D, turbulent flow simulations are conducted for two VWBR sizes (100, 500 mL) at five agitation rates between 20 and 80 rpm. Trajectories of cell aggregates of sizes from 200 to 1,000 microns are calculated, and shear stress and EDR exposures are collected along these trajectories. In vitro: ESI-017 hPSCs were cultured in VWBRs for 6 days. Aggregation efficiency and daily fold ratios were calculated based on cell counts and initial inoculation density. ResultsAggregate size, agitation rate and bioreactor size modulate cell aggregate exposures to EDR and shear stress, which significantly depart from maximum or volume average metrics used for scale-up. Combined in vitro/in silico results show EDR affects aggregation efficiency, cell counts and aggregate size, and has a small effect on daily fold ratios but a significant effect on total fold ratio. ConclusionHistory of trajectory-based cell aggregate exposures to EDRs provide a better scale-up basis for VWBRs than volume-averaged EDR. Shear stress does not significantly affect hPSC aggregation, proliferation and expansion in VWBRs under the tested conditions.

The efficient production of food and biochemicals using microorganisms that utilize single-carbon feedstocks presents a promising approach for advancing a circular bioeconomy. Komagataella phaffii (formerly Pichia pastoris) is a methylotrophic yeast already widely used in industry, making it an attractive host for such applications. Recently, K. phaffii was converted into an autotrophic strain capable of assimilating CO2 into both biomass and secreted organic acids, using energy derived from dissimilation of methanol to CO2. In these strains, methanol oxidation is catalysed by an alcohol oxidase (Aox2), which transfers electrons to oxygen without conserving reducing equivalents. To address this limitation, in this study we explored redirecting methanol dissimilation through the native alcohol dehydrogenase (Adh2), coupling methanol oxidation with NADH generation to improve carbon efficiency. By deleting AOX2 and overexpressing ADH2, we generated Adh2-based autotrophic strains that exhibited growth rates comparable to the parental strain (0.007 h-{superscript 1}), while reducing specific CO2 production by 53% and increasing biomass yield (YX/MeOH) by 59%. We further applied this strategy to convert previously developed autotrophic strains producing itaconic acid and lactic acid into Adh2-dependent strains. Optimizing ADH2 expression through multicopy integration resulted in strains with approximately two-fold higher molar carbon efficiency (Y(X+P)/CO2) while achieving elevated product titers--2.2-fold for itaconic acid and 3.8-fold for lactic acid--relative to the parental strains. Our findings demonstrate that alcohol dehydrogenase-mediated methanol dissimilation can significantly improve yield and productivity of autotrophic K. phaffii strains, with broad implications for sustainable bioproduction from one-carbon substrates.

Fermentation of C1 gases is an emerging technology where waste gases are bio converted into value-added products. This study navigates the gas fermentation potential of Gordonia rubripertincta to produce carotenoids. The crucial carbon monoxide dehydrogenase (CODH) enzyme, necessary for gas uptake by the microbe, was found to be present in G. rubripertincta through blastp on NCBI website. The organism was then used for gas fermentation experiments in a continuous stirred tank reactor (CSTR) in different modes of reactor operation resulting in the production of about 500 mg pigment/g WCW (wet cell weight). Two important reactor parameters, molybdenum content and pH, were optimized for enhanced carotenoid production. Overall, G. rubripertincta was observed to be an efficient candidate organism for C1 gas fermentation. KEY HIGHLIGHTSO_LIGordonia rubripertincta synthesises aerobic carbon monoxide dehydrogenase enzyme. C_LIO_LIIt is a potential gas fermenting microbe that gives carotenoids as product. C_LIO_LIThe gas uptake efficiency of the microbe is more in fed-batch discontinued mode. C_LIO_LIIn FB-D, the resultant carotenoids are 500+9 mg/g wet cell weight (WCW). C_LIO_LIMo/pH of 20 mg/7.0 resulted in highest carotenoids, i.e., 134+41 mg/g WCW. C_LI GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=87 SRC="FIGDIR/small/722808v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@8b1185org.highwire.dtl.DTLVardef@2b6f90org.highwire.dtl.DTLVardef@1a9697dorg.highwire.dtl.DTLVardef@14c9dc8_HPS_FORMAT_FIGEXP M_FIG C_FIG

BackgroundThe use of autologous or allogeneic cell therapies has now entered to the clinical practice in several fields of medicine, especially in oncology and hematology. From this regard, 2D-cell manufacturing is complex and costly and bioreactors have attracted major interest for efficient and cost-effective mass production of cells. Bioreactors have several advantages such as homogeneous repartition of nutrients and gas, control of all culture parameters and increased yield. However, the important shear stress generated by those bioreactors is an important disadvantage as it can affect cell survival or cell quality. This important shear stress is the result of the mixing method using either blades (used in stirred-tanked bioreactors) or gas bubbles (used in airlift bioreactors). Another downside of the use of bioreactors is the difficulty to scale-up. As the volume increases, the shear stress generated by blades radically increases leading to cell death and a decrease of cell quality. DescriptionIn this study, we describe a bioreactor developed using a different mixing method effectively reducing the shear stress and facilitating scale-up. This bladeless method uses an inclination of the bioreactor as well as rotation to mix fluids in a container. Here we described different steps that led to the adaptation of this bioreactor, initially developed for fragile microalgae culture, for mammalian cell culture amplification. The bioreactor was tested to amplify a natural killer (NK) cell line NK92 which is an IL-2 dependent cell line used in clinical trials for cancer therapy. We have tested the influence of 1-The number of cells seeded; 2-The influence of the rotation speed on cell growth and viability; 3-The influence of the bioreactor angle on the above parameters; 4-The duration of the culture. ResultsCells were initially seeded at 2.5.105 / ml in a volume of 380 ml. According to the rotation speed of 15, 30, 45 and 60 rpm, we have observed an increase of cell numbers at day 3 (3-fold), day 5 (7-fold) and day 7 (10-fold) compared to seeding, the best expansion being obtained at day 7 with a rotation speed of 45 rpm. The optimal angle of rotation was found to be 3 degree, with an optimal amplification at day 7 versus day 3 (p < 0.01). The viability was also found to be optimal in the latter condition. ConclusionsThese preliminary results demonstrate that NK92 cells could be amplified using this bioreactor. In the best tested condition, neither cell viability nor cell growth was impacted. These results strongly suggest the potential use of this device in future clinically applicable conditions.

Lignin-derived aromatics are abundant in depolymerized lignin but remain remain untilized as carbon sources for commercial production of bulk chemicals. Among these aromatics, p-coumaric acid can be funnelled through the {beta}-ketoadipate pathway toward cis,cis-muconic acid (ccMA), a precursor of bio-based adipic and terephthalic acids. However, efficient ccMA production by Acinetobacter baylyi ADP1 is constrained by toxicity of catechol (the immediate precursor of ccMA), inefficient channelling of protocatechuate (PCA) metabolism towards ccMA production, and absence of PCA decarboxylase for converting PCA to catechol. Therefore, in this study, we engineered a modular co-culture system, combining engineered strains of A. baylyi and E. coli, for ccMA production from synthetic p-coumaric acid. Deletion of catB and catC genes and overexpression of catA in A. baylyi GJS_catA strain enabled near-stoichiometric conversion of catechol to ccMA ([~]90% carbon yield) with titres up to 56.4 mM ([~] 8 g/L) under controlled fed-batch feeding. The strain was further engineered (A. baylyi GJS2_catA) to convert p-coumaric acid to PCA. Due to the inactivity of heterologous PCA decarboxylase (aroY gene) in A. baylyi, this gene was incorporated in E. coli where it exhibited activity through PCA to catechol conversion. Upon its production by E.coli_aroY in the co-culture, catechol is instantaneously converted to ccMA by A. baylyi GJS2_catA strain. In a two-step process, 22 mM p-coumaric acid was initially converted to 20.6 mM PCA (A. baylyi GJS2_catA), which was further converted to catechol (E.coli_aroY) and finally to 18.55 mM ccMA (2.63 g L-{superscript 1}) by A. baylyi GJS2_catA. This process was validated by the valorization of lignin-derived p-coumaric acid to ccMA. While the modular strategy developed in this study substantially improves ccMA titres, it also highlights the bottlenecks in A. baylyi metabolic pathway engineering for lignin valorization. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=147 SRC="FIGDIR/small/709578v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@a83daborg.highwire.dtl.DTLVardef@168c6b6org.highwire.dtl.DTLVardef@1ce0abdorg.highwire.dtl.DTLVardef@23200b_HPS_FORMAT_FIGEXP M_FIG C_FIG

In this study, we employ a two-stage dynamic metabolic control strategy to enhance the NADPH dependent biosynthesis of ethylene glycol from xylose in engineered E. coli. We evaluated the use of metabolic valves to dynamically reduce the enzymes involved in competitive pathways which compete for substrates with ethylene glycol biosynthesis, as well as regulatory pathways aimed at increasing NADPH fluxes. The performance of our initial strains with limits in pathway expression levels was improved by the addition of competitive valves, but not by increases in NADPH flux. In contrast, improving pathway expression levels, led to strains improved significantly by our regulatory valves which improved NADPH flux, but not by the competitive valves. This is consistent with a central hypothesis that faster pathways in and of themselves can compete with other metabolic fluxes by being faster and are better aided by regulatory changes capable of change rates elsewhere in metabolism. In this case in NADPH flux. Lastly, upon scale up to fed-batch bioreactors, our optimized strain, featuring dynamic control of two regulatory valves produced 140 g/L of EG in 70 hours at 92% of the theoretical yield.

The optimization and control of bioprocesses require robust in silico models that can accurately capture the complex and dynamic behavior of living cells. While hybrid models that combine machine learning with mechanistic equations have emerged as a powerful tools, they often require relatively large datasets and might yield inconsistent predictions that violate the stoichiometry of metabolism. In this study, we introduce FBA-Hyb, a multi-scale hybrid modeling framework that tightly integrates genome-scale metabolic networks via flux balance analysis (FBA) into its architecture. In our FBA-Hyb framework, artificial neural networks predict key FBA inputs (substrate uptake rates and cellular objectives) while a surrogate FBA module translates them into the metabolic fluxes that govern the bioprocess. A key novelty is that the FBA optimization step is replaced by a surrogate generated with symbolic regression, which encapsulates the FBA model into a compact analytical expression. This allows easy backpropagation through the integration of the neural controlled differential equationbased FBA-Hyb bioprocess model. We validated FBA-Hyb against a standard hybrid model (Std-Hyb) using two Escherichia coli fedbatch case studies. In the first study, FBA-Hyb achieved a 42 % average improvement in predictive accuracy (R2) during a leave-one-process-out cross validation. Crucially, FBA-Hyb maintains strict stoichiometric feasibility even during extrapolation. Meanwhile, an alternative approach based on standard architectures leads to stoichiometrically inconsistent solutions in 22 % of the cases analyzed. In the second case study, we demonstrate how FBA-Hyb effectively simulates unmeasured chemical species and discovers a metabolic shift in sulfate-limited regimes during bioprocessing. By providing a modular, biologically consistent, and computationally efficient architecture, FBA-Hyb offers a robust foundation for the next generation of bioprocess models and sustainable process optimization. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=81 SRC="FIGDIR/small/720062v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@16f011eorg.highwire.dtl.DTLVardef@b25b5borg.highwire.dtl.DTLVardef@18bd178org.highwire.dtl.DTLVardef@65274e_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIFBA-Hyb integrates flux balance analysis (FBA) into hybrid bioprocess models. C_LIO_LISymbolic regression discovers a simple closed-form FBA surrogate model. C_LIO_LIThe FBA surrogate ensures accurate reaction stoichiometry. C_LIO_LIA neural network predicting the FBA objective keeps the model flexible. C_LIO_LIFBA-Hyb has superior capabilities and accuracy compared to the current standard. C_LI

Crude glycerol is an underutilized waste stream. Viable routes for converting it to 1,3-propanediol (1,3-PDO) can conserve important resources and add value to its supply chain. Biological methods are appealing because they can circumvent expensive preprocessing steps while operating under mild conditions. Here, we show that the propanediol utilization pathway of Salmonella enterica serovar Typhimurium LT2 can be used to convert glycerol, including unprocessed crude glycerol, into 1,3-PDO under aerobic conditions in minimal media. Additionally, we demonstrate that high concentrations of expensive cofactors are not necessary to achieve optimal production titers. This study lays the groundwork for continual iteration on this pathway for bioprocess development. Key pointsO_LIS. enterica can produce 1,3-propanediol from crude glycerol alone C_LIO_LIGlycerol-to-1,3-propanediol conversion is dependent on expression of the propanediol utilization (Pdu) pathway C_LIO_LISub-saturating concentrations of exogenous vitamin B12 can boost cell growth and 1,3-propanediol yield C_LI

Despite its industrial importance, microbial L-lysine production has largely been confined to classical producer strains, leaving the fast-growing, non-pathogenic marine microorganism V. natriegens largely untapped as an unconventional biosynthetic platform. In this work, we established an L-lysine-overproducing V. natriegens DSM759 strain through a step-wise, systematic rational engineering strategy targeting the native biosynthetic pathway. Guided by our prior systems-level analysis of the strains genetic and regulatory architecture, we identified key metabolic bottlenecks and implemented knowledge-driven interventions to relieve pathway constraints. Central to production was alleviation of feedback inhibition in the native key regulatory enzymes, aspartate kinase (AK, lysC) and dihydrodipicolinate synthase (DHDPS, dapA). Site-directed amino-acid substitutions, replicating established E. coli feedback-resistance mechanisms, were introduced into conserved regions of the V. natriegens DSM759 enzymes, producing L-lysine-insensitive variants with kinetic parameters comparable to that of corresponding wild type enzymes. Among the tested configurations, the strain co-expressing Vn.lysC2 and Vn.dapA1:E84T reached the highest L-lysine titer (9.0{+/-}0.6 mM) and yield (0.11{+/-}0.01 molLys molGlc-1), whereas overexpression of additional L-lysine pathway genes provided no further benefit. Leveraging the hosts metabolic versatility, L-lysine synthesis was also demonstrated from the chitin-derived amino-sugar N-acetylglucosamine (0.09{+/-}0.00 molLys molGlcNAc-1), highlighting the potential to valorize chitin-rich waste streams from the seafood industry. This work establishes a minimal, rational strategy for L-lysine biosynthesis in V. natriegens DSM759 and positions it as a promising platform for sustainable amino acid production.

Mixed-linkage {beta}-glucans (MLGs) are emerging as promising biopolymers with significant biotechnological potential due to their unique structural and rheological properties. In rhizobia, MLG biosynthesis is controlled by the second messenger cyclic di-GMP (c-di-GMP) and mediated by the bicistronic operon bgsBA. However, the full composition of the biosynthetic machinery and strategies for enhanced production remain incompletely understood. In this study, we demonstrate that the outer membrane protein TolC is essential for MLG production in Sinorhizobium meliloti. Genetic disruption of tolC abolished MLG synthesis, while its complementation restored production. We propose that TolC forms a tripartite complex with BgsA and BgsB, enabling efficient polymer synthesis and export. Furthermore, co-overexpression of tolC, bgsBA, and a constitutively active diguanylate cyclase (pleD*) yielded a 10-fold increase of MLG over a control plasmid without tolC, reaching up to [~]10 g/L under bioreactor conditions. Additionally, this genetic module enabled de novo MLG production in otherwise non-producer rhizobial hosts (e.g. Mesorhizobium japonicum), allowing bacterial chassis exchanges and highlighting its portability and potential for synthetic biology applications. Overall, our findings identify TolC as a key component of the MLG biosynthetic machinery and provide a robust platform for the scalable production of this valuable biopolymer. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=134 SRC="FIGDIR/small/721817v1_ufig1.gif" ALT="Figure 1"> View larger version (46K): org.highwire.dtl.DTLVardef@1da8e1org.highwire.dtl.DTLVardef@13a7b06org.highwire.dtl.DTLVardef@62d6eeorg.highwire.dtl.DTLVardef@10cc02d_HPS_FORMAT_FIGEXP M_FIG C_FIG

Cyanobacteria have garnered interest as promising biological platforms for producing renewable biofuel, chemical feedstock, and bioactive molecules. For biotechnology applications, robust well-characterized genetic tools are required for genetically modifying cyanobacteria, but these tools are often developed for specific model strains. Here, we used broad host-range RSF1010-based plasmids to characterize a set of orthogonal constitutive promoters in diverse cyanobacterial strains. The promoters are random variants of the synthetic Escherichia coli PconII promoter. A library of PconII promoters driving a fluorescent reporter gene was first evaluated in Synechococcus elongatus and found to have a wide range of gene expression levels. A set of 25 promoter variants with graded strengths was selected after characterization in S. elongatus and three additional model cyanobacterial strains. To demonstrate the utility of these promoters, we isolated new genetically tractable cyanobacterial strains with high salt and alkalinity tolerance and transferred the subset of promoters into one of these newly isolated strains. Similar to the results with model strains, the subset of promoters had a wide range of expression levels in the non-model strain. These characterized promoters expand the genetic tools available for genetic engineering of model and non-model cyanobacterial strains. ImportanceThe use of cyanobacteria to produce renewable products will require engineered expression of many genes that affect cell growth, metabolism, and agronomic properties, leading to efficient production of biomass and desired products. Engineering the strength of gene transcription is an important element of overall gene expression levels. The set of constitutive promoters described here, with a wide range of expression strengths characterized in several diverse cyanobacterial strains, provides an important resource for genetic engineering required for biotechnology applications. Research AreasMicrobial genetics, plasmids and other genetic constructs, biotechnology Journal SecctionBiotechnology

Malic acid is a C4 dicarboxylic acid traditionally produced from petroleum and widely used in the food industry. As a sustainable alternative, it can also be produced as a value-added platform chemical from biomass. Previously, the Escherichia coli strain XZ658 was engineered to produce L-malate via the carbon-fixation reductive branch of the TCA cycle. In this study, we further improved this system by relieving allosteric regulation of citrate synthase, addressing redox imbalance, and enhancing malate export. These modifications approximately doubled the L-malate titer in the final strain MO128 compared to XZ658 under simple batch fermentation conditions. The process achieved a high mass yield of 1.2 g malate g-{superscript 1} glucose, highlighting the carbon-fixation capacity of the reductive TCA pathway for fermentative malate production.

Prodigiosin is a red pigment produced by various bacteria, including Serratia marcescens. Despite its wide and promising range of biological activities, the large-scale production of prodigiosin is currently limited by its high cost and low yields. Here we propose and optimize an innovative, low-cost, peanut-based solid culture medium that enhances the yield of prodigiosin produced by Serratia marcescens. Colorimetric assays revealed that peanut significantly stimulates prodigiosin synthesis. Further HPLC-MS analysis allowed us to unambiguously identify prodigiosin and shows that our medium specifically improves the yield of prodigiosin. Overall, our innovative culture medium could help lower prodigiosin production costs and, ultimately, open new industrial applications.

Zymomonas mobilis is an ethanologenic Alphaproteobacterium with many interesting characteristics for fundamental research and applied microbial engineering. Although genetic engineering has been established for Z. mobilis since the 1980s, a rich set of inducible transcriptional regulators is still unavailable. In this work, seven different chemically inducible promoters have been systematically tested for their functionality in Z. mobilis. In particular, for the first time, NahR-PsalTTC, VanRAM-PvanCC, CinRAM-Pcin and LuxR-PluxB have been characterized in Z. mobilis, alongside the commonly used regulator-promoter pairs TetR-Ptet and LacI-PlacT7A1_O3O4, and the less commonly used XylS-Pm. All promoters investigated in this work are compatible with the Golden Gate modular cloning framework Zymo-Parts. Characterization was carried out with a shuttle vector backbone based on pZMO7, which has so far been rarely used for applications in Z. mobilis but seems to be completely stable without selection and generates high and uniform levels of expression. From the experimental results presented, it can be concluded that VanRAM-PvanCC and CinRAM-Pcin are particularly promising for broad use in the Z. mobilis community. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=126 SRC="FIGDIR/small/712268v1_ufig1.gif" ALT="Figure 1"> View larger version (39K): org.highwire.dtl.DTLVardef@16579e6org.highwire.dtl.DTLVardef@1262533org.highwire.dtl.DTLVardef@15456a2org.highwire.dtl.DTLVardef@3af98_HPS_FORMAT_FIGEXP M_FIG C_FIG

Cell-free expression systems (CFES) are increasingly used alongside conventional biotechnological approaches to accelerate early-stage prototyping and are particularly valuable in point-of-use settings. However, their broader adoption remains limited by time- and cost-intensive preparation, as well as stringent cryogenic storage requirements. To address this, several studies have explored lyophilization with protective additives to generate stable, solid-state CFES. These approaches had to balance the protection gained with a loss of activity due to the additives. In this study, we present a CFES that contains a tardigrade-derived Cytosolic-Abundant Heat-Soluble (CAHS) protein to protect the biosynthetic machinery in lysates from damages during drying. We show that the CAHS protein, without any other additives, preserves protein synthesis activity during low-cost room temperature desiccation, while unprotected lysates are affected in mRNA synthesis kinetics and translation yields. The diversity of tardigrade-derived protective proteins is a treasure trove for cell-free synthetic biology, in particular for making CFES more accessible and portable. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=85 SRC="FIGDIR/small/715078v1_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@8ecc2eorg.highwire.dtl.DTLVardef@ff0432org.highwire.dtl.DTLVardef@6c940eorg.highwire.dtl.DTLVardef@6c5390_HPS_FORMAT_FIGEXP M_FIG C_FIG

Cells have the potential to utilize biological pathways to synthesize semiconductor nanomaterials, such as CdS quantum dots. As in chemical reaction schemes, biogenic synthesis requires control of the concentration and redox state of starting materials during the nucleation and growth of nanoparticles. Biological pathways regulate these key processes of particle synthesis, and manipulation of such pathways enables biological control of multiple aspects of nanoparticle synthesis. Here, strains of Escherichia coli were engineered to biosynthesize cadmium sulfide (CdS) quantum dots through the coordinated action of three pathways controlling sulfide generation, cadmium uptake, and nanoparticle nucleation. When exposed to low, micromolar concentrations of external cadmium, strains combining all three pathways produced CdS quantum dots. The synthesis of nanoparticles, nanoparticle yield, and nanoparticle size depended on the combination of pathways found in each strain. Cells lacking all three pathways produced no detectable nanomaterials, cells with specific combinations of one or two pathways produced small particles in the range of 1.95 to 7.9 nm, and cells with all three pathways produced the largest particles with average diameters of 11.78 nm. These results demonstrate that cells can be engineered to control multiple aspects of biogenic nanoparticle synthesis and that these pathways act together to tune the biosynthesis of semiconductor nanomaterials within cells. ImportanceMicrobes synthesize materials, including metallic and semiconductor nanomaterials. This capability stems from the natural ability of microbes to interact with and precisely manipulate metal atoms. Here, multiple biological pathways were combined within a single strain of Escherichia coli, creating a cell capable of producing CdS nanoparticles. This engineered cell controls multiple steps of particle synthesis, including metal uptake, reduction of starting materials, and binding cadmium and sulfide ions to initiate particle formation. Metal uptake by the cells was improved through the modification of a metal ion transport protein, improving cadmium uptake across the outer membrane and creating higher concentrations of cadmium within the cell. Cells with all three pathways were able to produce CdS nanoparticles, called quantum dots, even when exposed to low concentrations of external cadmium. This biotechnology enables nanomaterial synthesis under environmentally friendly conditions and may improve technologies using bacteria to clean up toxic metals.

Poly({varepsilon}-caprolactone) (PCL) is a well-known biodegradable polyester and is among the few polyesters susceptible to degradation in marine environments; however, marine-derived PCL-degrading enzymes remain poorly characterized. Here, we searched for PCL-degrading enzymes from the marine bacterium Alloacanivorax gelatiniphagus JCM 18425 using a genome-based approach. Five candidate genes were predicted, and one encoded protein, designated Ag0826, was identified as a PCL depolymerase. Recombinant Ag0826 was expressed, purified, and biochemically characterized. The enzyme exhibited optimal activity at 35-40{degrees}C and pH 8.0, although it showed limited thermal stability. Substrate specificity was compared with that of leaf-branch compost cutinase (LCC), a well-characterized poly(ethylene terephthalate) (PET) hydrolase, using various polyesters. Both enzymes exhibited largely overlapping substrate ranges with respect to the presence or absence of monomer conversion activity across the tested substrates. Ag0826 slightly degraded PET to terephthalic acid, indicating potential PET-hydrolyzing activity; its conversion rate, however, was substantially lower than that of LCC, suggesting that Ag0826 exhibits a substrate preference differing from LCC. Phylogenetic analysis based on amino acid sequences revealed that Ag0826 formed a separate clade from LCC and IsPETase (from Ideonella sakaiensis). At a broader level, Ag0826 was positioned near HaloPETase1 (from Halopseudomonas pachastrellae), which has been proposed as a Type III PET hydrolase; in contrast, residues corresponding to the substrate-binding subsites were similar but not identical between the two enzymes. These results suggest that Ag0826 broadly belongs to the group of known PET hydrolases, yet it exhibits a partially distinct sequence profile even within this enzyme family.

Matrix-bound nanovesicles (MBVs) are a type of small extracellular vesicle (EV) embedded in the extracellular matrix (ECM) throughout the body. MBVs have been previously isolated from various tissues and in vitro-cultured cell sheets, demonstrating remarkable attributes in regenerative medicine. However, differences between MBVs and conditioned culture medium-derived EVs (liquid-EVs) have yet to be characterized, and the field currently lacks specific protein markers that can identify MBVs from other EV subtypes. Here, we isolate MBVs and liquid-EVs from bone marrow mesenchymal stem cell (MSC) sheets and define differences in size, protein, and zeta potential between these EVs. We show that there is a correlation between cell-driven ECM deposition and MBV and liquid-EV production. We also find that MBVs are smaller, contain less protein per particle, and possess lower zeta potential than liquid-EVs. Interestingly, MBVs also comprise a distinct tetraspanin profile compared to liquid-EVs, with MBVs containing more CD63 and little to no CD81. Finally, we define that CD63, LAMP1, Alix, ITG{beta}1, and GRP94 and their abundance, may be markers specifically used to identify MBVs from liquid-EVs. Our study paves the way for the characteristic differentiation between MBVs from liquid-EVs, elucidates their differences in biogenesis, and reveals a potential connection between EV and ECM production.

This article presents the development of an advanced modeling and simulation platform for carbon capture systems, with a focus on integrated process analysis from upstream CO2 capture through to bioethanol production. The platform supports the evaluation of CO2 mitigation technology by coupling mathematical bioprocess models with an interactive desktop application. The biological system employs Chlorella vulgaris microalgae to fix CO2 through photosynthesis and generate carbohydrate substrates, which are subsequently converted to bioethanol by Saccharomyces cerevisiae yeast via fermentation. The simulation integrates three established kinetic models--the Monod, Logistic, and Luedeking-Piret models--to predict biomass growth, substrate consumption, and ethanol yield under varying operational conditions. A closed-loop CO2 recycling subsystem captures fermentation off-gases and reintroduces them into the bioreactor, enhancing overall carbon utilization efficiency. Three representative simulation scenarios demonstrated process efficiencies ranging from 1.09% to 93.78% of the theoretical maximum CO2-to-ethanol conversion efficiency, confirming the platforms capacity to evaluate a wide operational envelope. The Electron/React-based desktop application provides real-time visualization, interactive 3D bioreactor models, and a simulation history module, making it accessible to researchers, engineers, and students. The platform serves as a digital twin that bridges rigorous bioprocess mathematics with intuitive user interaction, providing a cost-effective tool for designing and optimizing sustainable carbon capture and biofuel production systems.