Biology subjects

Zhang, C.

Publications and source records attributed to Zhang, C..

At least 253 records · Page 14Linked to original sources

bioRxiv2025

Deep-learning-enabled multi-omics analyses for prediction of future metastasis in cancer

Metastasis remains the leading cause of cancer-related mortality, yet predicting future metastasis is a major clinical challenge due to the lack of validated biomarkers and effective assessment methods. Here, we present EmitGCL, a deep-learning framework that accurately predicts future metastasis and its corresponding biomarkers. Based on a comprehensive benchmarking comparison, EmitGCL outperformed other computational tools across six cancer types from seven cohorts of patients with superior sensitivity and specificity. It captured occult metastatic cells in a patient with a lymph node-negative breast cancer, who was declared to have no evidence of disease by conventional imaging methods but was later confirmed to have a metastatic disease. Notably, EmitGCL identified HSP90AA1 and HSP90AB1 as predictable biomarkers for future breast cancer metastasis, which was validated across five independent cohorts of patients (n=420). Furthermore, we demonstrated YY1 transcription factor as a key driver of breast cancer metastasis which was validated through in-silico and CRISPR-based migration assays, suggesting that YY1 is a potential therapeutic target for deterring metastasis.

bioinformatics↗

bioRxiv2025

Microbially-mediated halogenation and dehalogenation cycling of organohalides in the ocean

Microbially mediated organohalide cycling in the ocean has profound implications for global element cycles and climate, but the phylogeny, coding potential, and distribution of the halogenation-dehalogenation cycling microorganisms remain unknown. Here, we construct an organohalide-cycling database (HaloCycDB) to explore the global atlas of halogenation-dehalogenation cycling genes and microorganisms in the ocean from 1,473 marine metagenomes. FlaHase and HyDase/RDase as predominant halogenase- and dehalogenase-encoding genes account for 80.24% of all potential organohalide-cycling activities. We identify 80.91% RDase and 91.35% RDase-containing prokaryotes as unknown organohalide-cycling genes and microorganisms, respectively, which greatly expand the diversity of dehalogenation phylogeny and coding potential. Further integration of microbial cultivation with protein structure prediction and molecular docking elucidates 4 unique "microorganism-enzyme-organohalide" patterns for organohalide dehalogenation in the ocean. Our results provide the first insight into microbial halogenation-dehalogenation cycling of organohalides and associated yet-to-be-explored resources in the ocean.

ecology↗

bioRxiv2025

Stabilized ion selectivity corrects activation drift in kalium channelrhodopsins

Effective optogenetic inhibition of neuronal activity requires tools that can reliably silence neurons across diverse conditions and cell types. Potassium-selective channelrhodopsins (KCRs) have emerged as promising alternatives to chloride-conducting channels for optogenetic inhibition of cellular excitability, but they exhibit dynamic ion selectivity shift under prolonged or intense illumination, causing activation. This inhibition to activation transition limits their utility for silencing circuits. Through behavioral and electrophysiological analyses in Drosophila, and C. elegans, we found that the C29D variant of KCR1 maintains the most stable potassium selectivity among tested variants. While other KCR variants showed excitation defects, KCR1-C29D consistently provided robust in vivo inhibition across cell types, illumination conditions, and species. Electrophysiological recordings revealed that while most KCRs show declining PK/PNa ratios during illumination, KCR1-C29D maintains stable ion selectivity, consistent with its robust silencing capability. This work resolves a key limitation of KCR optogenetics and shows that KCR1-C29D is a superior tool for reliable inhibition. Our findings offer valuable mechanistic and practical insights for the design of next generation optogenetic inhibitors.

neuroscience↗

bioRxiv2025

A Reductive Uric Acid Degradation Pathway in Anaerobic Bacteria

Uric acid is a key intermediate in purine degradation across diverse organisms, while its accumulation in humans leads to inflammation and gout disease. Aerobic organisms degrade uric acid via a well-known "oxidative pathway" involving dearomatization of the purine core catalyzed by uric acid oxidases or dehydrogenases. The ability to degrade uric acid is also widespread in anaerobic bacteria, including gut bacteria, although the mechanisms are incompletely understood. Here, we report the biochemical characterization of a recently identified uric acid degradation gene cluster from Escherichia coli, and show that it encodes a "reductive pathway" for uric acid degradation. In this pathway, uric acid is first reduced to isoxanthine (2,8-dioxopurine) by a xanthine dehydrogenase homolog (XdhD), followed by dearomatization of the purine core catalyzed by a flavin-dependent reductase (YgfK). Stepwise cleavage of the pyrimidine and imidazole rings forms 2,3-diureidopropionate, and stepwise cleavage of the 2- and 3-ureido groups then forms 2,3-diaminopropionate, which is cleaved by a pyridoxal 5-phosphate-dependent lyase (YgeX) to pyruvate and ammonia. Detection of isoxanthine in clinical serum samples suggests it is a physiologically relevant circulating metabolite. A probiotic E coli Nissle strain was engineered for constitutive overexpression of the gene cluster, and oral administration in a uricase-knockout hyperuricemic mouse model significantly reduced the serum uric acid level and alleviated associated kidney injury, suggesting a potential route towards uricolytic probiotics.

biochemistry↗

bioRxiv2025

Selective GSK3α Inhibition Promotes Self-Renewal Across Different Stem Cell States

Pan-GSK3/{beta} inhibition promotes stem cell self-renewal through activation of WNT/{beta}-catenin signaling, but its broad effects complicate the precise control of stem cell states. Here, we show that selective inhibition of GSK3 with BRD0705 supports the long-term self-renewal of mouse embryonic stem cells (ESCs), epiblast stem cells (EpiSCs), and neural stem cells (NSCs), independent of {beta}-catenin signaling. When combined with the tankyrase inhibitor IWR1, BRD0705 broadly supports the maintenance of diverse pluripotent stem cell states, including ESCs, EpiSCs, and formative pluripotent stem cells. This BRD0705/IWR1 cocktail enables stable co-culture of naive ESCs and primed EpiSCs while preserving their distinct molecular and functional identities. Single-cell transcriptomics, epigenomic profiling, and functional assays confirm sustained lineage-specific features across stem cell types. These findings demonstrate that selective GSK3 inhibition enhances stemness by buffering against differentiation cues and promoting intrinsic self-renewal capacity. This work identifies GSK3 as a key regulator of self-renewal across distinct stem cell states and establishes a versatile culture system with broad applications. In BriefWang et al. demonstrate that selective GSK3 inhibition with BRD0705 supports self-renewal of pluripotent and neural stem cells. Combined with IWR1, it enables long-term co-culture of naive and primed stem cells while preserving their distinct molecular and functional identities. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=181 HEIGHT=200 SRC="FIGDIR/small/653860v1_ufig1.gif" ALT="Figure 1"> View larger version (36K): org.highwire.dtl.DTLVardef@4e371eorg.highwire.dtl.DTLVardef@104b287org.highwire.dtl.DTLVardef@164bd96org.highwire.dtl.DTLVardef@daf1ba_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIGSK3 inhibition by BRD0705 promotes self-renewal of ESCs, EpiSCs, and NSCs C_LIO_LIBRD0705/IWR1 enables long-term co-culture of ESCs and EpiSCs C_LIO_LICo-cultured ESCs and EpiSCs retain distinct naive or primed identities C_LIO_LIBRD0705 preserves stem cell states independently of {beta}-catenin signaling C_LI

cell biology↗

bioRxiv2025

Genetic correlation-guided mega-analysis of DO mice provides mechanistic insight and candidate genes for age-related pathologies

Diversity Outbred (DO) mice are a powerful model system for mapping complex traits due to their high genetic diversity and mapping resolution. However, while there are extensive tools available for standard genetic analysis in DO mice, fewer techniques have been implemented to facilitate integrated, cross-study analysis. Here, we implement Haseman-Elston regression to estimate genetic correlations among 7,233 phenotypes measured across eleven independent DO mouse studies. We used this network of genetic correlations to cluster phenotypes according to shared genetics, which enhanced the power to detect quantitative trait loci (QTL). This approach empowered the detection of 884 QTL for 383 meta-phenotypes, explaining an average of 40.36% of the total genetic variance per mega-analysis. We leveraged this network for insights into specific areas of biology, including lifespan, frailty, immune composition, histological and functional lung phenotypes, and histological phenotypes of the aorta. We found the genetics of lifespan to share limited correlation with the genetics of frailty but stronger correlation with the genetics of immune cell composition. Additionally, mega-analyses driven by genetic correlations identified candidate genes (e.g. Cdkn2b) associated with degraded extracellular matrix in the aorta. Finally, an ensemble of genetic analyses implicated pulmonary neuroendocrine cell signaling and/or differentiation as a key driver of multiple lung pathophenotypes.

genetics↗

bioRxiv2025

VaMiAnalyzer: An open source, python-based application for analysis of 3D in vitro vasculogenic mimicry assays

BackgroundVasculogenic mimicry (VM) is the phenomenon whereby non-vascular tumor cells develop vascular-like structures. VM is linked to more aggressive tumor phenotypes including higher rates of metastasis and invasion and is potentially resistant to anti-angiogenic cancer therapies. VM is investigated in vitro using 3D VM assays with microscopy images capturing the resulting VM structures. The standard method to quantify endpoint data is to count various structural features manually, which is time-consuming and open to bias. At present, no software solutions have been developed to specifically address the analysis and quantification of VM structures. ResultsTo address this limitation, we developed an open source, python-based application, VaMiAnalyzer, allowing straightforward quantification of several VM structural features. The application follows a two-step approach that optionally corrects and enhances the raw input images and then analyzes and quantifies the VM features. ConclusionsVaMiAnalyzer is stand-alone software that allows automated measurement of VM structural features from phase-contrast microscopy images. It produces results that are strongly consistent with manual counts but in a significantly shorter time, allowing speedy, non-biased analysis of VM from microscopy images.

bioinformatics↗

bioRxiv2025

Modeling human retinal ganglion cell axonal outgrowth, development, and pathology using pluripotent stem cell-based microfluidic platforms

Retinal ganglion cells (RGCs) are highly compartmentalized cells, with long axons serving as the sole connection between the eye and the brain. RGC degeneration in injury and/or disease also occurs in a compartmentalized manner, with distinct injury responses in axonal and somatodendritic compartments. Thus, the goal of this study was to establish a novel microfluidic-based platform for the analysis of RGC compartmentalization in health and disease states. Human pluripotent stem cell (hPSC)-derived RGCs were seeded into microfluidics, enabling the recruitment and isolation of axons apart from the somatodendritic compartment. Initial studies explored axonal outgrowth and compartmentalization of axons and dendrites. We then compared the differential response of RGCs differentiated from hPSCs carrying the OPTN(E50K) glaucoma mutation with isogenic control RGCs in their respective axonal and somatodendritic compartments, followed by analysis of axonal transport. Further, we explored the axonal transcriptome via RNA-seq, focusing on disease-related axonal differences. Finally, we established models to uniquely orient astrocytes along the axonal compartment combined with modulation of astrocyte reactivity as a pathological feature of neurodegeneration. Overall, RGC culture within microfluidic chips allowed enhanced cell growth and maturation, including long-distance axonal projections and proper compartmentalization, while patient-specific RGCs exhibited axonal outgrowth deficits as well as decreased rate of axonal transport. Finally, the induction of astrocyte reactivity uniquely along the proximal region of RGC axons led to the onset of neurodegenerative phenotypes in RGCs. These results represent the first study to effectively recapitulate the highly compartmentalized properties of hPSC-derived RGCs in healthy and disease states, providing a more physiologically relevant in vitro model for neuronal development and degeneration.

neuroscience↗

bioRxiv2025

Adropin protects against cardiac metabolic remodeling and dysfunction in HFpEF

Cardiometabolic heart failure with preserved ejection fraction (HFpEF) is a heterogenous metabolic disease, which in the heart presents as left ventricle diastolic dysfunction, ventricular stiffness, and myocardial structural remodeling. Deleterious changes in cardiac metabolism are central to HFpEF pathophysiology, and proposed treatments for the disease have focused on repairing these defects. In this study, we used a preclinical mouse model that recapitulates cardiometabolic HFpEF to elucidate the molecular mechanisms driving cardiac dysfunction, and tested whether recombinant Adropin (a liver- and brain-derived endogenous peptide hormone) could reverse observed defects. We show that long-term treatment with Adropin reversed multiple markers of HFpEF-related cardiac dysfunction (including fibrosis, diastolic dysfunction, and cardiomyocyte hypertrophy). Using untargeted metabolomics, we found that Adropin treatment reduced hexosamine biosynthesis pathway activity, leading to a reduction in the O-GlcNAcylation of the cardiac fatty acid oxidation enzyme long chain acyl-CoA dehydrogenase (LCAD). Reducing LCAD O-GlcNAcylation increased LCAD activity in vitro, and reduced the accumulation of long-chain acylcarnitines in HFpEF mouse hearts in vivo. Our results suggest that Adropin may restore cardiac metabolic function in HFpEF, and that targeting this pathway may be a novel therapeutic avenue for this disease. CLINICAL PERSPECTIVE- Adropin is a circulating liver- and brain-derived peptide that regulates energy metabolism in the heart and other high metabolic-demand tissues. The plasma abundance of Adropin is decreased in diabetic, hypertensive, and aged individuals; all comorbid risk factors for the development of heart failure with preserved ejection (HFpEF). We therefore examined the potential role of Adropin in HFpEF pathophysiology. - Patients with HFpEF display significant reductions in circulating Adropin levels, matching those seen in comorbid diseases. In a mouse model of HFpEF, treatment with recombinant Adropin reduced diastolic dysfunction, cardiac fibrosis, and cardiomyocyte hypertrophy. - These data suggest that targeting the Adropin pathway may represent a new therapeutic approach in HFpEF.

physiology↗

bioRxiv2025

Anti-CSF-1R therapy with combined immuno- chemotherapy coordinate an adaptive immune response to eliminate macrophage enriched Triple Negative Breast Cancers

Patients diagnosed with metastatic triple negative breast cancer (mTNBC) have limited treatment options, are more prone to develop resistance and are associated with high mortality. A cold tumor immune microenvironment (TIME) characterized by low T cells and high tumor associated macrophages (TAMs) in mTNBC is associated with the failure of standard-of-care chemotherapy and immune checkpoint blockade (ICB) treatment. We demonstrate that the combination of immunomodulatory metronomic Cyclophosphamide (CTX) coupled with anti-CSF-1R antibody targeted therapy (SNDX-ms6352) and anti-PD-1 (ICB), was highly effective against aggressive metastatic syngeneic Trp53 null TNBC genetically engineered mouse models (GEMMs) that present with high macrophage infiltration. Mechanistically, CSF-1R inhibition along with CTX disrupted the M-CSF/CSF-1R axis which upregulated IL-17, IL-15 and type II interferon resulting in elevated B- and T cell infiltration. Addition of an anti-PD-1 maintenance dose helped overcome de novo PD-L1 intra-tumoral heterogeneity (ITH) associated recurrence in lung and liver mTNBC.

cancer biology↗

bioRxiv2025

Endocytosis of a zinc transceptor ZIP4 is mediated by AP2 through an atypical dileucine motif

Human ZIP4 is an essential zinc transporter for dietary zinc absorption and also a transceptor that undergoes zinc-dependent endocytosis to regulate cellular zinc uptake capacity in response to changes in zinc availability. However, the detailed molecular mechanism of this post-translational regulation remains elusive. In this work, we focus on the LxL motif (formerly LQL motif), which is located in the longest cytosolic loop and indispensable for ZIP4 endocytosis, to elucidate how it is involved in ZIP4 endocytosis in a zinc-responsive manner. Integrating a combination of biochemical, cell/molecular biology and modelling approaches, our data collectively support a working model that the LxL motif, which is found to be more exposed and/or less ordered upon increased zinc availability, acts as an atypical dileucine motif to interact with the adaptor protein complex 2 for clathrin-mediated endocytosis. These findings provide insights into the molecular basis of zinc-dependent ZIP4 endocytosis, advancing the understanding of cellular zinc homeostasis and providing a paradigm for mechanistic studies of substrate-induced endocytosis of other nutrient transceptors. HighlightsO_LIHydrophobicity of the LxL motif is essential for ZIP4 endocytosis C_LIO_LIEndocytosis of endogenously expressed ZIP4 depends on Clathrin and AP2 C_LIO_LIThe LxL motif binds to the {sigma}2 subunit of AP2 C_LIO_LICellular zinc levels regulate the structure of the LxL motif C_LI

cell biology↗

bioRxiv2025

Sialin2 Senses Nitrate to Activate Endosomal PI3K-AKT-NOS Signaling

Nitrate functions as a signaling molecule beyond its metabolic intermediate role. Despite progress in plants, the mechanisms underlying mammalian nitrate sensing and signaling remain unclear. The accompanying study identifies Sialin2--a proteolytic fragment of nitrate transporter Sialin--as a mammalian nitrate sensor mediating cellular responses. Here, we demonstrate that nitrate triggers endocytosis, inducing Sialin proteolysis and Sialin2 generation. Nitrate-induced Sialin2 scaffolds Lyn kinase with epidermal growth factor receptor (EGFR) at endosomes, activating phosphatidylinositol 3-kinase (PI3K)-AKT-nitric oxide synthase (NOS) pathway to stimulate localized nitric oxide (NO) production, enhancing angiogenesis and cell survival. In hypertensive rats, nitrate supplementation restores endothelial function and reduces blood pressure through AKT/eNOS-dependent signaling. Unlike the classical nitrate-nitrite-NO pathway, the Sialin2-PI3K-AKT-NOS axis confines NO synthesis to endosomal microdomains, enabling spatiotemporally precise vasodilation. By establishing Sialin2 as a mammalian nitrate sensor, this study unveils a novel paradigm in nitrogen homeostasis and provides targeted therapeutic strategies for vascular disorders.

cell biology↗

bioRxiv2025

ArchLips: A comprehensive in silico database for high-throughput identification of archaeal lipids

Archaeal membrane lipids are markedly distinct from those in bacteria and eukaryotes, serving as unique biomarkers for unraveling their ecological and biogeochemical roles. Recent advancements in lipidomics have facilitated detailed cellular-level characterizations of lipid compounds. However, the lack of a comprehensive and dedicated database has severely limited large-scale, high-throughput investigations of archaeal lipids. We present ArchLips, a comprehensive database containing 218,868 in silico molecular structures and tandem mass spectra of 199,248 corresponding archaeal lipids. ArchLips enables the rapid and accurate identification of characterized archaeal lipid compounds from both pure cultures and environmental samples, serving as a transformative tool for enhancing our understanding of archaeal diversity and their ecological and evolutionary significance within global ecosystems.

biochemistry↗

bioRxiv2025

Sialin2 Functions as a Mammalian Nitrate Sensor to Sustain Mitochondrial Homeostasis

Nitrogen homeostasis is fundamental for cellular physiology, yet mammalian nitrate (NO3-) sensing mechanisms remain elusive. Here, we identify Sialin2--a proteolytic fragment of the nitrate transporter Sialin generated by cathepsin B (CTSB) cleavage-- as the first mammalian nitrate sensor. Microscale thermophoresis (MST) reveals Sialin2 as a high-affinity nitrate sensor, while Cryo-Electron Microscopy (Cryo-EM) uncovers its structural basis for signaling. We show that Sialin2 localizes to mitochondria and scaffolds liver kinase B1 (LKB1)-AMP-activated protein kinase (AMPK) complexes to drive organelle-specific metabolic adaptation via spatiotemporally controlled AMPK activation, enhancing mitochondrial biogenesis, ATP production, and cell survival. Real-time tracking using the sCiSiNiS biosensor demonstrates nitrate signaling dynamics at physiological levels. This signaling axis redefines nitrate as a direct ligand activating receptor-like cascades, independent of classical nitric oxide synthesis. Our findings establish a paradigm of "inorganic salt signaling biology", wherein anions co-opt trafficking systems to achieve signaling specificity, offering therapeutic avenues for mitochondrial disorders.

cell biology↗

bioRxiv2025

Replication competition drives the selective mtDNA inheritance in Drosophila ovary

Purifying selection that limits the transmission of harmful mitochondrial DNA (mtDNA) mutations has been observed in both human and animal models. Yet the precise mechanism underlying this process remains undefined. Here, we present a highly specific and efficient in situ imaging method capable of visualizing mtDNA variants that differ by only a few nucleotides at single-molecule resolution in Drosophila ovaries. Using this method, we revealed that selection primarily occurs within a narrow developmental window during germline cysts differentiation. At this stage, the proportion of the deleterious mtDNA variant decreases without a reduction in its absolute copy number. Instead, the healthier mtDNA variant replicates more frequently, thereby outcompeting the co-existing deleterious variant. These findings provide direct evidence that mtDNA selection is driven by replication competition rather than active elimination processes, shedding light on a fundamental yet previously unresolved mechanism governing mitochondrial genome transmission.

genetics↗

bioRxiv2025

Nanotechnology-Driven Synergy: Research Effects of Curcumin Nanosuspension and Fluconazole Combination in Overcoming Azole Resistance in Candida Albicans

The increasing prevalence of invasive fungal infections, particularly life-threatening disseminated candidiasis caused by C. albicans, highlights the critical demand for novel therapeutic strategies. This study explores the antifungal potential of curcumin nanosuspension (CNS) alone and in combination with azoles, emphasizing synergistic mechanisms to counter drug resistance. CNS substantially improved curcumins aqueous solubility and enabled sustained in vitro release, overcoming its inherent bioavailability limitations. Checkerboard assays demonstrated synergistic interactions between CNS and fluconazole (FLC) against planktonic cells (FICI: 0.38-0.5) and early-stage C.albicans biofilms (FICI <0.5). Morphological analyses revealed that the combination suppressed hyphal formation and disrupted biofilm architecture--key virulence traits of C.albicans. Mechanistically, qPCR data indicated downregulation of adhesion-related genes (ALS1, ALS3, HWP1, EFG1), impairing fungal colonization. The synergy likely stems from dual mechanisms: facilitated FLC cellular uptake and inhibition of efflux pumps.These findings point out a nanotechnology-driven strategy to revitalize existing azoles through rational combination therapies. The improved bioavailability of CNS and their biofilm-penetrating capacity position this approach as a promising solution for managing refractory candidiasis, offering a pathway to circumvent antifungal resistance.

pharmacology and toxicology↗

bioRxiv2025

Mesoscopic SCAPE Microscope with a Rescanned, Super-oblique Illumination Plane

Investigating structural and functional dynamics across large spatial scales in living organisms calls for volumetric microscopy that combines a wide field of view (FOV), high spatial resolution, and sufficient temporal resolution. Swept confocally-aligned planar excitation (SCAPE) microscopy offers a compelling balance of optical sectioning, cellular resolution, and high-speed volumetric imaging. However, extending SCAPE to mesoscopic scales has been hindered by the limited tilting angle of the oblique illumination light sheet achievable with commercial low-magnification objectives. Here, we present a mesoscopic SCAPE microscope that overcomes this constraint by implementing a super-oblique light sheet--tilted up to ~60{degrees} relative to the optical axis of a 0.5-NA primary objective--enabled by an air-to-water bridging reflector. In addition, we introduce a single-galvanometer, self-conjugating rescanning strategy that allows arbitrary customization of the optical-to-mechanical angle ratio. This innovation accommodates the reversed and modulated scan displacement of the reflected light sheet and preserves descanned epi-fluorescence detection. Together, these advancements enable our mesoscopic SCAPE microscope to achieve a lateral FOV of 5.0 mm x 2.9 mm, cellular-level spatial resolution (~9.4 m x ~5.9 m lateral, and ~6.0 m axial), and a volumetric imaging rate of 9 volumes per second.

bioengineering↗

bioRxiv2025

Meta-AlignNN: A meta-learning framework for stable brain-computer interface performance across subjects, time, and tasks

Practical application of brain-computer interfaces (BCIs) requires stable mapping between neuronal activity and behavior through various behavioral contexts and for different individuals. Due to neural activity instability, BCIs require frequent recalibration to maintain robust performance. Early approaches to addressing BCI stability issues mainly focused on tackling the challenge of neural activity changes over time. However, future BCI applications involve diversified scenarios and subjects, requiring solutions that address neural variability across time, subjects, and tasks. This study proposes a meta-learning-based algorithm to achieve BCI stability, named "Meta-AlignNN." By capitalizing on the consistency of neural population dynamics, it provides a unified solution for maintaining BCI stability, robustness, and scalability across subjects, time, and tasks. Tested over two years on four tasks with three monkeys, as well as on public datasets, the approach has achieved significantly excellent performance in both offline decoding and real-time brain-control, outperforming existing methods. Our findings provides a foundation for meeting the clinical demands of longterm, efficient, and stable usability across patients and tasks, offering a compelling solution for practical BCI applications.

bioengineering↗