Biology subjects

Lee, Y.

Publications and source records attributed to Lee, Y..

At least 37 records · Page 2Linked to original sources

bioRxiv2026

Early Adversity Selectively Reshapes the Somato-Cognitive Action Network in the Developing Brain

Early adversity is among the most potent environmental influences on the developing brain; yet whether it remodels the areal layout of cortical networks, and along which dimensions, is unknown. In a longitudinal sample of 4,525 youth aged 9-18, we derived individualized cortical parcellations and related the topography of 15 networks to 10 data-driven dimensions of adversity. Greater exposure to threat, but not deprivation or unpredictability, predicted dose-dependent expansion of the somato-cognitive action network (SCAN), an effect nearly seven times larger than for any other network. The SCAN expanded toward the sensorimotor pole, encroached on neighbors, and shifted functional connectivity toward sensorimotor and away from control systems. Expansion mediated the association between threat and poorer cognition, replicating across waves, within children, and out-of-sample. Rather than diffusing across many systems, the imprint of adversity on the developing cortex converges on the territory of a single integrative network that couples brain to body.

neuroscience↗

bioRxiv2026

Specific F1 ATP synthase inhibition delivers transient mitochondrial stress for selective targeting of acute myeloid leukemia

Targeting oxidative phosphorylation (OXPHOS) represents an attractive therapeutic strategy in acute myeloid leukemia, which exhibits exceptional dependence on mitochondrial respiration compared to normal hematopoietic cells. However, clinical attempts to exploit this vulnerability have been limited by on-target toxicity to healthy tissue. Here, we comprehensively compare the cellular consequences of inhibiting distinct nodes of the electron transport chain in AML. We demonstrate that selective inhibition of the F1 subunit of ATP synthase with EB2023 (ammocidin A) delivers an energetic stress to AML cells without the profound redox stress that characterizes complex I inhibition, preventing NAD/NADH imbalance and allowing continued TCA cycling. Further, the duration of OXPHOS inhibition is transient in nature in vivo, a finding revealed through pharmacokinetic and serial pharmacodynamic monitoring of AMPK phosphorylation accompanied by OPA1-mediated mitochondrial structural remodeling that primes AML cells for BCL2 inhibitor synergy. EB2023 in combination with venetoclax demonstrates potent anti-AML activity across cell lines and patient-derived xenograft models at doses that spare normal hematopoietic progenitors and avoid the neuropathy and sustained detrimental systemic metabolic rewiring in healthy tissues associated with prior efforts to target OXPHOS. These findings establish F1-selective ATP synthase inhibition as a clinically actionable therapeutic strategy in AML and establish the duration of OXPHOS inhibition as a critical and previously underappreciated determinant of therapeutic index.

cancer biology↗

bioRxiv2026

Screening Lipid Nanoparticles through Structure-Ratio Alignment

Lipid Nanoparticles (LNPs) are widely used as delivery systems for nucleic acid therapeutics, where transfection efficiency is determined by both the identities of constituent lipid components and their composition ratios. While prior studies have focused on learning molecular representations for individual components, modeling how multiple components and their ratios jointly influence LNP performance remains underexplored. In this work, we propose STRATA, a framework that models molecule interaction between LNP components, which is known to contribute to LNP transfection efficiency. Our approach is built on two complementary views: (1) a ratio-centric view that captures interaction patterns induced by composition ratios through a transformer with a Ratio-induced Positional Embedding, and (2) a molecule-centric view that incorporates interaction-induced effects into structure-based molecule embeddings. By jointly training and aligning these views, our model integrates molecular structure and composition ratio within a unified framework that captures interaction-driven effects. Experiments demonstrate that our method improves prediction accuracy and generalization to unseen molecules and ratios, highlighting the effectiveness of our approach. Implementation code will be available after acceptance.

biochemistry↗

bioRxiv2026

Efficient Endogenous Tagging in the Sea Urchin, Lytechinus pictus, Using CRISPR/Cas9-mediated Split-Fluorescent Protein Knock-In

Precise knock-in of fluorescent reporters is a powerful tool for studying the dynamic cellular and molecular processes of embryogenesis. However, conventional CRISPR-Cas9 knock-in of large inserts, such as full-length fluorescent proteins, is inefficient. This has limited its application in many emerging model systems, including sea urchins. Here, we overcome this barrier using a transgenic Lytechinus pictus line that constitutively and ubiquitously expresses a large fragment of mNeonGreen (mNG3K1-10). In this line, fluorescence is only reconstituted when CRISPR-mediated knock-in delivers mNG211, the 11th beta strand of the fluorescent protein, to complement the constitutively expressed fragment. Because this strategy requires integrating only the short 11th-strand, together with short homology arms ([~]130 nt total), by homology directed repair, it circumvents the size constraints that limit conventional full-length reporter knock-ins using CRISPR. Using this approach, we achieved integration efficiencies of 14-22%, roughly an order of magnitude higher than those obtained with full-length fluorescent protein knock-ins. This provides a streamlined, scalable method for endogenous protein visualization in echinoderm embryos and a valuable resource for studying gene function, morphogenesis, and toxicant response in this classic developmental model.

developmental biology↗

bioRxiv2026

Characterization of acetate catabolism in Chlamydomonas reinhardtii reveals distinct roles for ACS1 and ACK2 in regulating cell growth and carbon storage

Acetate metabolism drives mixotrophic and heterotrophic growth in some microalgae. Acetyl-CoA synthetase (ACS) and acetate kinase (ACK) are often considered the main enzymes involved in acetate catabolism in microalgae; however, their contributions to metabolic flux and carbon allocation are not fully understood. In this study, the functions of cytosolic ACS1 and mitochondrial ACK2 were characterized using two knockout mutants of the model microalga Chlamydomonas reinhardtii. The acs1 mutant exhibited a growth-oriented phenotype, characterized by 29.8% faster cell growth at 96 h and up to a 15.5% higher acetate depletion rate, yet showed a 38.3% lower triacylglycerol (TAG) content at 48 h under heterotrophic conditions. By contrast, the ack2 mutant exhibited an altered carbon-allocation phenotype under heterotrophic conditions. Despite an up to 32.4% lower respiratory oxygen consumption rate and a 27.7% reduction in cell density, ack2 exhibited a 39.3% higher biomass concentration and a 90.4% greater dry weight per cell than the wild type at 96 h. Biochemical analysis revealed that ack2 accumulated 23.3% more carbohydrate than the wild type at 120 h under heterotrophic conditions, whereas its TAG level remained comparable to that of the wild type. These findings suggest that, under heterotrophic conditions, the loss of cytosolic ACS1 facilitates cell growth and division at the expense of TAG biosynthesis, whereas the loss of mitochondrial ACK2 regulates growth by affecting carbon flux toward biomass and carbohydrate accumulation. This work provides insight into acetate catabolism in C. reinhardtii and suggests targets for engineering microalgae for production of biomass and bioproducts.

Molecular Biology↗

bioRxiv2026

Value and spatial preferences guide habitual reaching and manual object selection in primates

Habits are automatic actions shaped by prior experience, enabling efficient and fast responses in stable environments. While habitual gaze rapidly directs the eyes toward valuable objects, the mechanisms underlying habitual manual choice for reaching and grasping remain unclear. Here we show that macaque monkeys develop habitual manual choices toward previously rewarded objects through multi-day object-value learning, driven by learned value and spatial preferences. This reaching habit persisted without reward and showed shorter latencies than in value-deliberative tasks, consistent with automatic control. Regression analyses further revealed that manual choice was guided by learned object values, whereas visual salience had no effect, unlike gaze habits. Instead, intrinsic spatial preferences continued to bias reaching behavior even after long-term value learning. These findings demonstrate that habitual manual choice arises from the integration of spatial preferences and long-term value memory, defining a distinct mechanism of automatic behavior beyond habitual gaze.

animal behavior and cognition↗

bioRxiv2026

A noradrenergic Ih-dependent pacemaker system drives sniffing

Sniffs are rapid breaths generated to clear nasal passages, actively sample air for smelling, and, in infants, rouse from sleep. Rapid shifts between breathing at rest (eupnea) and sniffing point to generation of both behaviors by the core brainstem inspiratory oscillator, the preBotzinger Complex (preBotC). Eupneic rhythm generating mechanisms, when driven faster, are assumed to underlie higher frequency sniffing rhythms; however, the mechanisms governing sniffing have not been directly examined and remain unknown. Using head-fixed awake mice and rhythmically active medullary slices containing preBotC, we find that norepinephrine in preBotC elicits sniff bouts whose hyperpolarization-activated cyclic nucleotide-gated (HCN/Ih) channel-dependent rhythmogenic mechanisms are distinct from eupneic rhythm. These findings reveal how neuromodulation enables a single microcircuit to flexibly switch between distinct oscillatory modes, providing a mechanistic framework for rapid respiratory-related behavioral transitions and potential therapeutic targets for conditions affecting arousal and breathing.

neuroscience↗

bioRxiv2026

The genomic basis of evolutionary stasis in the 500-million-year-old red seaweed genus Ahnfeltia

The red seaweed genus Ahnfeltia is an ancient lineage that has persisted for over 500 million years with remarkably limited diversification despite a global distribution in cold-temperate intertidal habitats. Compared to the highly diverse sister lineage, Rhodymeniophycidae, Ahnfeltia provides a unique system for investigating long-term evolutionary persistence in marine macroalgae. Here, we generated chromosome-scale genomes from five populations across three species and combined population genomics with paleogeographic niche modelling. Our results reveal remarkable genomic conservation, strong geographic isolation with limited gene flow, high homozygosity, and evidence of purifying selection. Niche projections indicate long-term stability and spatial connectivity of suitable cold-temperate habitats. These findings suggest that Ahnfeltias persistence and limited diversification are linked to genomic constraints and stable ecological niches over geological timescales. This study provides new insights into the genomic basis of evolutionary stasis in ancient marine lineages and highlights potential vulnerability to ongoing climate change affecting cold-water coastal ecosystems.

evolutionary biology↗

bioRxiv2026

Title: Zero-shot automated insulin delivery for type 1 diabetes via dynamic physiology-aware reinforcement learning

Insulin therapy in type 1 diabetes requires constant dose adjustment based on blood glucose, meals, physiological states, and physical activity. This demanding self-management imposes a substantial burden and increases dosing-error risk, underscoring the need for automated insulin delivery (AID) systems that reduce user intervention. However, many current systems depend on fixed, individualized parameters and may not fully adapt to rapid or unobserved physiological changes. We developed the Dynamic Physiology-Aware Reinforcement learning Controller (DPARC), a zero-shot insulin optimizer that infers latent physiological dynamics from recent continuous glucose monitoring (CGM) and insulin-delivery history without prior personalization, carbohydrate announcements, or preset subject-specific parameters. DPARC uses a rolling 24-hour CGM and insulin-history window, but closed-loop operation can begin after 1 hour of observed data by initializing unobserved history with neutral normalized padding and progressively replacing it with observations. In silico, a single frozen DPARC policy adapted within 1 hour, improved time in range compared with a total daily insulin-conditioned reinforcement learning baseline, and approached the upper-bound performance of a fully personalized model under stochastic unannounced meals with randomized timing, carbohydrate amounts, absorption variability, and meal skipping. In supervised porcine studies under unannounced meals, DPARC maintained high time in range without manual configuration, supporting large-animal feasibility while prospective human evaluation is needed before clinical efficacy can be established. Learned latent representations correlated with physiological markers including insulin sensitivity and plasma insulin concentration, supporting physiological alignment and explanatory anchors. Collectively, these findings support DPARC as a preclinical proof-of-concept zero-shot AID framework for future supervised human evaluation.

bioengineering↗

bioRxiv2026

Niche-level immune evasion in TP53 mutant AML residual disease revealed by spatial proteomics

Measurable (or minimal) residual disease (MRD) predicts relapse in patients with acute myeloid leukemia (AML). However, the biological and spatial characteristics of the AML bone marrow (BM) microenvironment (BMME) in which MRD cells survive remain largely unexplored; in particular, little is known of the BMME in TP53 mutant (TP53mut) AML. Here, we applied sequential immunofluorescence to whole BM biopsy specimens obtained from patients with TP53 wild-type (TP53WT) AML and TP53mut AML at diagnosis and in morphological complete remission (CR) to generate a comprehensive spatial map of the hematopoietic and BMME components. We identified TP53mut leukemia cells based on high p53 expression and delineated their spatial organization relative to stromal and immune niches. Biopsy-based cell composition analysis revealed marked B-cell depletion and an increased abundance of regulatory T-cells (Tregs) in TP53mut BM at CR. Unlike TP53WT BM, TP53mut BM at CR exhibited persistent TP53mut erythroid and immature leukemia cell clusters, spatially segregated from T-cell clusters, in perisinusoidal niches, suggesting niche-level immune evasion. Spatial profiling further revealed that Tregs characterized by FOXP3 upregulation were enriched near TP53mut MRD cells, indicating a locally enhanced immunosuppressive activity. Single-cell RNA sequencing-based cell-cell communication analysis identified erythroid-T-cell interactions mediated by the GDF15-CD48 axis as a potential mechanism of T-cell suppression, suggesting that the erythroid differentiation of TP53mut AML cells enhances local immunosuppression. Collectively, our results show a spatially organized immunosuppressive BMME in TP53mut AML and highlight the potential of spatial proteomics to identify actionable MRD niches in leukemias. Key pointsO_LITP53 mutant erythroid and immature leukemia cells form spatial clusters segregated from T-cells in complete remission. C_LIO_LIAn erythroblast-centered immunosuppressive niche characterizes TP53 mutant leukemia cells. C_LI

cancer biology↗

bioRxiv2026

Reduced cortical VPS26B levels are associated with altered glutamate receptor expression and synaptic protein loss in the primary motor cortex of a Parkinsonian mouse model

Parkinsons disease (PD) is associated with motor impairment and cortical synaptic dysfunction, which involve altered glutamate receptor trafficking, yet the underlying mechanisms remain incompletely understood. VPS26B, a component of the retromer complex, regulates GluA1 recycling in the trans-entorhinal cortex region. However, its role in the primary motor cortex (M1) under Parkinsonian conditions has not been explored. Here, we show that VPS26B levels are reduced in the M1 of an MPTP-induced PD mouse model, accompanied by decreased surface GluA1 and synaptic protein levels. VPS26B overexpression partially attenuated these alterations. In the accelerating rotarod test, VPS26B-deficient mice exhibited unstable motor performance following MPTP administration, whereas VPS26B overexpression was associated with improved performance in both wild-type and knockout mice. These findings suggest that cortical VPS26B may contribute to maintaining glutamate receptor surface expression and synaptic protein levels, especially under Parkinsonian conditions, with potential implications for motor learning.

neuroscience↗

bioRxiv2026

Expansion Revealing of Pathology Resolves Nanostructures Associated with Inflammatory Phenotypes in COVID-19 Decedent Human Brain Tissue

Expansion revealing (ExR) elucidates cellular organization by separating proteins within dense nanostructures by 20x linear expansion, but requires fixation procedures incompatible with human pathology specimens. Here, we report ExR of pathology (ExRPath), which attains [~]20 nm resolution and decrowding of such tissues, through iterative 20x expansion, adapted to human brain pathology specimens. We also report a single-shot 15x expansion protocol for such tissues (15ExMPath), achieved through one-shot 15x expansion. Applying ExRPath and 15ExMPath to COVID-19-decedent brain tissue reveals periodic amyloid nanoclusters that co-localize with SARS-CoV-2 in a rare minority of patient specimens, pointing to a potential neuroinflammatory phenotype associated with COVID-19, and highlighting the power of high-throughput nanoimaging, empowered by expansion microscopy, for discovering potential novel disease mechanisms.

neuroscience↗

bioRxiv2026

Systematic profiling of WD40 proteins reveals Wcp1, a cyclophilin linking CO2/heat tolerance to acidic pH adaptation in Cryptococcus neoformans

WD40 domains are major protein-protein interaction (PPI) scaffolds, yet their contributions to fungal pathogenicity remain poorly defined. We systematically analysed 94 canonical WD40 proteins in Cryptococcus neoformans. Conditional knockdown and sporulation identified 36 essential WD40 proteins, while in vitro and in vivo profiling of 103 signature-tagged deletion strains spanning 52 genes uncovered 31 pathogenicity-related WD40 proteins, including epigenetic and post-transcriptional regulators. We identified Wcp1, a dual-domain protein whose WD40-repeat and cyclophilin domains are required for growth at 37{degrees}C under 5% CO2. Its WD40 scaffold and PPIase domain supported CO2/heat tolerance and virulence. Notably, Wcp1 couples these functions to acidic pH adaptation: wcp1{Delta} failed to grow under elevated temperature and CO2 at acidic pH, exhibited enhanced intracellular acidification, reduced macrophage survival and attenuated virulence in Drosophila and mice. Integrated transcriptomic and proteomic analyses place Wcp1 at the centre of intracellular pH homeostasis, coordinating proton transport, metabolic adaptation and stress-buffering networks.

microbiology↗

bioRxiv2026

An fMRI dataset of verbalized spontaneous thought with annotated transcripts and self-report trait measures

Spontaneous thought is pervasive in everyday human cognition, yet datasets capturing its neural dynamics under minimally interrupted conditions remain limited. The current dataset was acquired from a think-aloud functional MRI experiment in which 118 participants continuously verbalized their spontaneous thoughts during 10-minute scanning sessions. The raw MRI data and verbal transcripts with sentence-level timestamps were previously released and analyzed in our prior study examining neural activity associated with thought transitions. Building on that release, we additionally provide preprocessed MRI data, speech transcriptions with word-level timestamps aligned to image acquisition, large language model-generated ratings of transcribed thoughts across emotional and sensory dimensions, and self-report survey measures assessing personality, mental health, and cognitive abilities. Validation analyses demonstrated activation in expected cortical regions associated with speech production and sensory content identified from transcript annotations, agreement between language model and human ratings, and adequate internal consistency of survey measures, supporting the datasets overall quality. This dataset enables reuse for investigations of spontaneous thought, speech generation, and individual differences using naturalistic functional MRI data.

neuroscience↗

bioRxiv2026

Phenotypic Analysis of GGDEF/EAL Domain Protein Function in Phytopathogenic Pantoea ananatis

Cyclic diguanosine monophosphate (c-di-GMP) is a ubiquitous bacterial second messenger that regulates diverse cellular processes, including colony morphology, motility, biofilm formation, and virulence. It is synthesized by diguanylate cyclases (DGCs) containing the GGDEF domain and degraded by phosphodiesterases (PDEs) containing the EAL domain. However, studies on the genetic and physiological characteristics of c-di-GMP metabolism in Pantoea ananatis are lacking. In this study, we identified 26 predicted c-di-GMP metabolism-related genes in the P. ananatis PA13 genome: 9 encode GGDEF-only domain proteins, 5 encode dual GGDEF/EAL domain proteins, and 12 encode EAL-only domain proteins. We constructed overexpression strains and mutants of 26 DGC- and PDE-encoding genes, and then assessed their Congo Red binding, mucoid and rugose phenotypes, pellicle formation, and swimming motility. We identified 14 of 26 DGC and PDE proteins that affect phenotype changes. Among the 26 DGC- and PDE-overexpressing strains, 13 exhibited the phenotypic changes described above, with some showing alterations in multiple phenotypes simultaneously. Notably, overexpression of dgcM induced changes across all phenotypes. Among the 26 DGC and PDE mutants, the pdeC mutant increased pellicle formation and Congo red binding, the pdeM mutant reduced the mucoid phenotype, and the pdeS mutant, which shows high similarity to ydiV, an anti-FlhD factor, increased swimming motility. Overexpression strains and mutants of 14 DGC and PDE proteins that exhibited phenotypic changes had higher intracellular c-di-GMP levels than the wild type. This study provides important insight into the role of the c-di-GMP network in the plant pathogen P. ananatis. IMPORTANCEPantoea ananatis is a versatile bacterium that causes significant diseases in various economically important plants. To survive and infect hosts, bacteria use a key signaling molecule called c-di-GMP to switch between swimming freely and forming protective communities known as biofilms. Despite its importance, the specific genes governing this signaling network in P. ananatis remained unknown. In this study, we systematically identified and characterized 26 genes responsible for regulating c-di-GMP levels in P. ananatis PA13. By analyzing mutants and overexpressing these genes, we pinpointed 14 critical factors that control essential behaviors such as motility, pellicle formation, and colony appearance. Notably, we discovered specific genes, such as dgcM and pdeS, that act as master regulators of these traits. This comprehensive functional map of the c-di-GMP network provides essential insights into how this pathogen adapts to its environment, offering potential targets to control plant infections.

microbiology↗

bioRxiv2026

A complete human pancreatic cancer genome

Cancer genome sequencing is essential for understanding tumor evolution and advancing precision medicine.1 However, reference gaps and germline variants obscure detection of small and large somatic variants and methylation in repetitive regions.1-3 It is common for tumor cells to gain or lose chromosome arms due to somatic structural changes that occur inside highly repetitive satellite DNA sequences in the centromeres.4 To identify the full spectrum of somatic variants, including complex rearrangements, we construct and curate near-complete, haplotype-resolved assemblies of the most recent common ancestor of an early-passage broadly-consented hypodiploid pancreatic cancer cell line and matched normal tissues. The tumor assembly completely recapitulates all 35 tumor chromosomes observed with karyotyping, with multiple translocation-induced hybrid chromosomes. The hybrid chromosomes contain putative functional dicentric and fused centromeres, nested foldback inversions causing 14 breakpoints with a haplotype switch in a single event, and centromeric satellite tandem duplications up to 136 kbp. Direct comparison of tumor and normal assembly haplotypes uncovers >7,000 variants altering >1 Mbp of sequence in repetitive regions that have been hidden by reference gaps and germline variants. 44 % of somatic small variants change representation because they alter germline variants on GRCh38, impacting mutational signatures and kataegis/omikli clusters. Most somatic LINE insertions originate from two hypomethylated non-reference germline LINE insertions, highlighting their impact on insertion mutation burden. These assemblies demonstrate that centromeric, acrocentric, and telomeric regions conventionally excluded from analysis harbor extensive somatic and epigenetic changes. Resolving complete tumor genomes enables a deeper understanding of cancer structural plasticity and the endpoints of breakage-fusion-bridge cycles. These assembled, curated paired normal-tumor benchmarks will serve as a critical foundation for developing future algorithms to characterize the most intractable regions of cancer genomes.

genomics↗

bioRxiv2026

Multiscale volume electron microscopy of the human liver maps vascular-cellular architecture, organelle dynamics and inter-organelle communication

The human liver depends on multiscale structural organization from vasculature to cells to organelles to perform its diverse metabolic functions. A unified three-dimensional view linking these hierarchical scales in intact human tissue would be useful for better understanding these levels and how they relate to each other. We present a high-resolution volume electron microscopy reconstruction of human periportal liver tissue (152 x 140 x 33 {micro}m3 at 8 nm pixel size) acquired by serial block-face scanning electron microscopy. Using a multiscale deep learning approach, we performed automated segmentation across the entire volume, enabling comprehensive annotation of vasculature, cells, and organelles. Quantitative analysis of bile duct architecture revealed coordinated scaling between lumen geometry and cholangiocyte number and size. Sinusoidal capillary branches exhibited distinct structural profiles with differential endothelial coverage. Analysis of 35,790 complete mitochondria identified substantial morphological heterogeneity, with elongated mitochondria displaying preferential endoplasmic reticulum (ER) contacts at narrowing sites, a pattern consistent with ER-mediated fission or fusion. This multiscale reconstruction establishes an ultrastructural reference for the healthy human liver and provides a quantitative framework for investigating hepatic physiology and disease.

cell biology↗

bioRxiv2026

Coordinated Tuning of Ionizable Lipids and Formulation Redirects mRNA Vaccines Toward Lymphoid-Specific CD4+ T Cell Immunity

The global success of mRNA vaccines has underscored the pivotal role of lipid nanoparticles (LNPs), yet how subtle chemical variations in ionizable lipids and their formulation parameters orchestrate complex immune landscapes remains largely elusive. Here, we report a novel ionizable lipid, N4Z, and demonstrate that its distinct chemical signature selectively intensifies early innate immune programs compared to its structural analogue, N4Y. Single-cell transcriptomic profiling at the injection site reveals that N4Z-based LNPs uniquely prime inflammatory and type I interferon-related transcriptional programs, accompanied by a rapid influx of B and CD4+ T cells. Beyond lipid chemistry, we show that formulation-level tuning, that is independent of the ionizable lipid structure, can reshape the systemic biodistribution from hepatic dominance toward lymphoid tissues. This optimization substantially enhances macrophage-associated antigen expression, which in turn amplifies polyfunctional CD4+ T cell responses, T follicular helper cell differentiation, and germinal center reactions. Our findings establish that the coordinated interplay between lipid engineering and formulation design provides a programmable platform for precision mRNA vaccination, achieving superior protective efficacy and neutralizing activity over clinically validated benchmarks.

bioengineering↗