Biology subjects

Lee, N.

Publications and source records attributed to Lee, N..

At least 19 recordsLinked to original sources

bioRxiv2026

Transcriptome dissection of the Zeb2-associated network reveals a role for NRPS15 in zearalenone biosynthesis in Fusarium graminearum

Fungal secondary metabolites, including mycotoxins, play important roles in fungal biology and represent major concerns for food and feed safety. Zearalenone (ZEA) is an estrogenic polyketide mycotoxin produced by several Fusarium species, yet the genetic network governing its production remains poorly characterized. Here, we investigated genes associated with ZEA production in Fusarium graminearum using two complementary transcriptomic approaches. Time-resolved transcriptome analysis revealed transcriptional changes preceding detectable ZEA accumulation. Temporal clustering further revealed coordinated changes in primary metabolism, transcriptional regulation, carbohydrate utilization, and stress- and transport-associated pathways during ZEA-inducing cultivation. Genotype-based transcriptome analysis of ZEB2 deletion and overexpression strains subsequently identified Zeb2-responsive genes. Functional screening identified NRPS15, encoding a previously uncharacterized nonribosomal peptide synthetase-like protein adjacent to the ZEA biosynthetic cluster, as an important contributor to ZEA production. Deletion of NRPS15 markedly reduced ZEA production and expression of PKS4, PKS13, ZEB1, and ZEB2. NRPS15 expression did not restore ZEA production in the absence of Zeb2. NRPS15 orthologs were conserved in several ZEA-producing Fusarium species, and deletion of NRPS15 substantially reduced ZEA production in Fusarium culmorum. These findings expand the functional genetic context of ZEA production beyond the canonical four-gene biosynthetic cluster.

molecular biology↗

bioRxiv2026

Evaluation and primer for using DeepLabCut to track small animals in large spaces

DeepLabCut (DLC), a machine learning-based pose estimation tool, has dramatically increased the throughput of behavioral tracking. Yet its implication remains limited by lack of validation data from diverse scenarios and users' unfamiliarity with the machine learning workflow. Here, we provide a practical primer on DLC terminology and workflow and performance evaluation of DLC in a novel scenario where the target is much smaller than those in previous validation data. We assessed model performance in a total of 36 model configurations across three training proportions, six training iterations, and two recording resolutions. Performance was evaluated on training convergence, prediction error, prediction certainty, and generalizability. Additionally, we selected an optimal model based on a balance between model performance and training time and applied it to 20 recordings at each resolution. In the test frames, 15 and 6 out of 18 model configurations met all performance criteria under high- and low-resolution, respectively. Of these, DLC was able to achieve low prediction error, high prediction confidence, and low train-test loss. Prediction error and confidence varied with training proportion, iteration, and resolution. Inference using the optimal models achieved similar high confidence predictions, with low-likelihood predictions predominantly associated with visual obstruction, low light, and reduced contrast between the subject and the background. Notably, the optimal models for high- and low-resolutions performed similarly despite a multi-fold difference in the cost of the recording devices, providing validation data for DLC in low-budget research, teaching and outreach scenarios.

animal behavior and cognition↗

bioRxiv2026

Ecological genomics of a novel host-parasitoid arms-race in nature

Novel antagonistic interactions between species are expected to drive especially rapid coevolution. However, little is known about the genomic basis of such coevolution in nature because novel inter-specific interactions are rarely observed. Here, we study two species that recently came into first contact in Hawaii, the parasitoid fly Ormia ochracea and its cricket host Teleogryllus oceanicus. The fly locates crickets acoustically using their song, and parasitism usually results in host death. In response, protective male-silencing mutations have rapidly spread through cricket populations over the last [~]25 years, imposing novel selective pressure on flies. By integrating population genomic analyses of 358 re-sequenced flies with field surveys of selection imposed by host adaptations, we discover genomic signatures of recent selective sweeps driven by host adaptations, indicative of escalating arms-race dynamics. This evolutionary response is occurring despite severely depleted genetic variation after bottlenecks in Hawaiian fly populations. Comparative analyses suggest that the genomic substrate of modern-day, rapid counter-adaptation in O. ochracea has been under positive selection on intermediate and long-term timescales across parasitoid flies. Our findings thus support predictions of influential arms race coevolution models and illustrate the current and ancient genomic bases of counteradaptation in nature.

evolutionary biology↗

bioRxiv2026

FERONIA limits jasmonic acid overaccumulation and oxidative stress to enable plant survival at elevated temperatures

Plants, as sessile organisms, must continually adapt to fluctuating temperatures to ensure survival. The plasma membrane-localized receptor-like kinase FERONIA (FER) coordinates diverse physiological processes and responses to various biotic and abiotic stresses. However, the role of FER in plant adaptation to elevated temperatures remains largely unexplored. Here, we report that FER is indispensable for plant thermotolerance. We found that fer loss-of-function mutants exhibit impaired thermomorphogenic growth and are hypersensitive to mild heat stress, displaying extensive oxidative stress-mediated cell death at elevated temperatures. Combined genetic and molecular analyses revealed that these temperature-sensitive defects in fer mutants are caused by an overaccumulation of jasmonic acid (JA), which subsequently triggers excessive production of reactive oxygen species. Furthermore, we show that this aberrant JA accumulation and oxidative stress are attributable to impaired FER-mediated regulation of turgor-dependent cell wall tensile stress. Taken together, our results suggest that FER-mediated cell wall tensile stress regulation serves as a critical mechanism to prevent aberrant JA accumulation and oxidative stress at elevated temperatures, thereby enabling plants to adapt to and survive under high-temperature conditions.

plant biology↗

bioRxiv2026

Multidimensional encoding of temporal features underlies song recognition in Floridian Ormia ochracea

Acoustic communication signals often contain complex temporal structure, yet the features underlying signal recognition remain poorly understood, particularly in eavesdropping receivers. The parasitoid fly Ormia ochracea localises host crickets by eavesdropping on their calling songs. In Florida, preferred host songs consist of sound pulses repeated at ~50 pulses/s, and flies exhibit matching preferences. However, it remains unclear whether this preference reflects sensitivity to individual temporal features (e.g., pulse duration, interpulse interval) or to derived temporal relationships (e.g., pulse rate, pulse period, duty cycle) that emerge from their combination. We independently varied pulse duration and interpulse interval across a broad stimulus space and quantified tethered-walking phonotaxis using a switch-following paradigm. Behavioural responses formed a structured tuning surface, with high performance along a diagonal corresponding to 50 pulses/s, as well as elevated responses for a restricted range of pulse durations across a wide range of interpulse intervals. Responses failed to collapse across stimuli sharing the same pulse rate or pulse period, indicating that these features alone do not determine recognition. Instead, behaviour was best explained by the interacting effects of pulse duration and interpulse interval. These results demonstrate that song recognition in O. ochracea is multidimensional, with pulse rate tuning emerging from an underlying feature space rather than a single encoded parameter.

animal behavior and cognition↗

bioRxiv2026

Genome quality variation across Scyphozoa and the comparative distribution of retinoid- and AhR-related gene families.

Scyphozoan jellyfish have a complex life cycle that includes a characteristic transition known as strobilation. Retinoid signaling has been suggested to be involved in jellyfish metamorphosis and development. However, the genomic basis of signaling pathways associated with metamorphosis has not been sufficiently compared at the class level. Experimental studies have reported that indole compounds can induce metamorphosis in some jellyfish species. Indole- and tryptophan-derived metabolites are known to function as ligands for the aryl hydrocarbon receptor (AhR) in other organisms. However, the potential role of AhR signaling in jellyfish metamorphosis has not been previously explored. We compared the distribution of retinoid- and AhR-associated gene families across multiple scyphozoan genomes. This analysis aimed to characterize their distribution patterns in relation to signaling pathways associated with development and environmental responses. A standard gene prediction and annotation pipeline was applied to 20 species from 21 publicly available scyphozoan reference genome assemblies retrieved from the NCBI database. The distribution and copy number of these gene families were compared across species. Retinoid-associated gene families were detected across almost all Scyphozoa genomes, and core components of AhR signaling (AhR, ARNT) were identified in most species. These results suggest that scyphozoan genomes contain genetic components of retinoid- and AhR-related signals. This study presents the distribution of gene families related to developmental signaling across Scyphozoa using a comparative genomic approach. It does not imply direct functional involvement of retinoid or AhR signaling, but instead focuses on potential signaling pathways at the genome level. It also provides an overview of currently available scyphozoan genomic data. These findings provide a basis for future hypothesis generation and functional validation in jellyfish metamorphosis research.

evolutionary biology↗

bioRxiv2026

High-variance phenome database reveals important roles of WD40 proteins in the plant pathogenic fungus Fusarium graminearum

WD40 is a highly conserved protein domain in eukaryotes, playing a critical role in various cellular process. We conducted genome-wide functional analysis of WD40 genes in Fusarium graminearum-a phytopathogenic fungus that causes severe yield loss and mycotoxin contamination in major cereal crops. Comprehensive phenome analysis of 119 WD40 gene deletion mutants across 22 distinct phenotypic traits revealed phenotypic divergence within the phenome, establishing a strong correlation between virulence and sexual reproduction. Notably, 21 core WD40 genes were identified, offering valuable insights into divergent biological processes. Pilot interactome studies of Fgwd101 and Fgwd133 provided further insights into their potential pathobiological functions. Our investigation contributes to broadening our knowledge of the biological mechanisms underlying fungal pathogenesis and may assist in the identification of targets for antifungal agents.

molecular biology↗

bioRxiv2026

Development of host-mimicking legume-based media for robust induction of sporulation in soybean-associated Cercospora species

Cercospora species associated with soybean cause Cercospora leaf spot and purple seed stain, which are major diseases affecting soybean production worldwide and can lead to significant yield and seed quality losses. However, unstable and poor sporulation under laboratory conditions remains a critical challenge, hindering the recovery of genetically homogeneous isolates and the establishment of standardized experimental protocols. These limitations further restrict our understanding of the biology, epidemiology, and pathogenicity of these pathogens. In this study, we developed specialized legume-based culture media derived from soybean and pea tissues to mimic host-associated environmental conditions. We compared the sporulation efficacy of these media with commonly used artificial media, including potato dextrose agar (PDA) and V8 juice agar. Our results demonstrated that legume-based media consistently supported higher levels of sporulation than PDA and V8 across multiple strains, although conidial yields varied depending on the strain and medium concentration. Transcriptional analysis of sporulation-related genes revealed that while abaA, wetA, and steA did not show significant differential expression among media, velB exhibited distinct medium-dependent expression patterns. Further evaluation using additional field isolates confirmed that legume-based media provide a more reliable method for inducing sporulation than PDA. Overall, legume-based media represent a practical and effective approach for promoting sporulation in soybean-associated Cercospora species under laboratory conditions.

microbiology↗

bioRxiv2026

Genetic insights on the mechanisms of human cortical folding

The unique and intricate pattern of human cortical folding is rooted in fetal neurodevelopmental processes and can now be comprehensively quantified by new neuroimaging-derived measures of sulcal complexity. Here, we provide the first genetic maps of human sulcal complexity. Beginning with large effects of rare variants, we survey nine different neurogenetic syndromes (n=615), detecting visible changes in sulcal complexity on a shared axis of sulcal change coupled to the prenatal timing of sulcation. Turning to common genetic variants, we use genome-wide association studies of complexity scores for 40 sulci in the UK Biobank (n[~]29,000) to (i) resolve variable heritability across sulci, (ii) reveal both local and remote shared genetic effects with cortical morphology, and (iii) identify complexity-associated genes and their embedding in brain maps of prenatal gene expression. These reference genetic maps uncover multiple new mechanistic pathways for cortical morphogenesis in health and disease.

neuroscience↗

bioRxiv2026

Field-isolate recombinant tick-borne encephalitis viruses define reporter-stability guidelines for antiviral screening in flaviviruses

As arthropod-borne viruses continue to threaten populations globally, there is a pressing need for experimental systems that enable rapid antiviral discovery. Reverse-genetics platforms producing recombinant reporter orthoflaviviruses have been developed to address this gap. Here, we present two new recombinant tick-borne encephalitis viruses (TBEVrec) generated on a European-subtype Haselmuehl Tiho1 isolate backbone. A reporter gene, either eGFP or Nluc, was inserted in the capsid-coding region of the genome downstream of the capsid RNA regulatory signal and separated from the complete viral polyprotein by a 2A self-cleaving peptide. TBEVrec was better rescued using the circular polymerase extension reaction (CPER) than with the infectious subgenomic amplicon (ISA) method. TBEVrec replicated efficiently in relevant human cell lines, with comparable replication to wild-type TBEV in a neuronal cell line and moderately reduced titers and RNA levels in immune-derived cell lines. Using either eGFP or Nluc, we illustrate how TBEVrec enabled high-content RNAi screening, highlighting Nucleolin and PRKD1 as potential TBEV host factors, and drug testing on a benchtop plate reader. Nanopore sequencing of the eGFP insert revealed that the reporter is excised without affecting flanking regions. Comparative analysis of eGFP and Nluc further shows that this instability is time- and cell type-dependent, and that Nluc is comparatively more stable. From these observations, we outline safeguards and design principles that are broadly applicable both to the rescue of existing constructs and to the design of future recombinant reporter virus platforms.

microbiology↗

bioRxiv2026

Effects of Cognitive Demand Reduction on Choice Overload

Choice overload occurs when an ever-growing number of options impairs decision quality, because evaluating options taxes cognitive resources. We investigated whether reducing cognitive demand could mitigate overload by encouraging greater cognitive effort to achieve optimal choice. We conducted two experiments manipulating cognitive demand in complementary ways: Experiment 1 reduced demand by presenting high-attractiveness sets, and Experiment 2 did so by providing a shortlist tool. In both experiments, participants chose from sets of 6-24 options while their eye-gaze and electroencephalographic (EEG) data were recorded. We found that reducing demand made decisions faster, but did not improve choice performance as set-size increased. Under low-demand conditions, eye-gaze measures revealed narrower search and EEG measures showed reduced working memory engagement per option, together indicating less searching and processing efforts. These results suggest that even with reduced cognitive demand, people coast through easier decisions, conserving effort and leaving the choice overload effect largely intact.

neuroscience↗

bioRxiv2026

Mitochondrial Double-Stranded RNA Triggers Ferroptosis via PKR-ISR Signaling in Renal Ischemia-Reperfusion Injury

Renal ischemia-reperfusion (IR) injury remains a leading cause of acute kidney injury, although the precise molecular pathways responsible for tissue injury are not fully understood. In this study, we demonstrate that IR initiates ferroptosis through activation of the PKR-dependent integrated stress response (ISR), which is driven by the accumulation of mitochondrial double-stranded RNA (dsRNA). Our mechanistic investigations reveal that IR perturbs mitochondrial homeostasis, leading to the accumulation of mitochondrial dsRNA and its subsequent release into the cytosol, thereby activating the dsRNA-dependent kinase PKR. Activation of PKR results in eIF2 phosphorylation and maladaptive ISR signaling, which facilitates ferroptosis and impairs renal function. Notably, genetic ablation of PKR or pharmacological intervention to inhibit ISR significantly reduced ferroptosis and preserved renal function. Collectively, these results identify the mitochondrial dsRNA-PKR-ISR axis as a critical mediator of ferroptotic renal injury and highlight its potential as a therapeutic target in ischemic acute kidney injury.

cell biology↗

bioRxiv2025

Discovery of Novel Probiotic Species to Improve Infant Health

Selecting an appropriate infant formula can be challenging for parents given the wide range of available options, which may lead to suboptimal choices or frequent switching. Our recent studies in mice demonstrated that the maternal microbiota--particularly Limosilactobacillus reuteri present in breast milk--plays a critical role in shaping neonatal immunity by promoting the production of immunoglobulin A (IgA), a key antibody for defense against enteric pathogens. To extend these findings to humans, we analyzed fecal samples from healthy breastfed infants using shotgun metagenomic sequencing combined with whole-bacterial-cell ELISA to assess associations between specific taxa and pathogen-reactive IgA. We found that members of the Oscillibacter species (including Oscillibacter sp. KLE1728, KLE1745, PC13, PEA192, and O. valericigenes) and Morganella (e.g., M. morganii, Morganella sp. EGD-HP17, and Morganella sp. HMSC11D09) were strongly correlated with IgA responses against Salmonella and Shigella. In contrast, IgA reactive to enterohemorrhagic Escherichia coli (EHEC) was associated with other genera, including Staphylococcus. Notably, Lactobacillus species (L. bombi, L. kefiri, L. equi, and L. rhamnosus) were consistently linked to elevated IgA responses against Salmonella, Shigella, and EHEC. Moreover, levels of anti-Salmonella and anti-Shigella IgA were positively correlated with the use of infant formula containing prebiotic fibers or human milk oligosaccharides (5-HMO). Collectively, these findings highlight novel commensal taxa with potential as probiotic candidates to guide the development of next-generation infant formulas aimed at enhancing mucosal immunity and supporting infant health. ImportanceEarly-life nutrition shapes immune maturation, yet the microbial factors driving mucosal antibody responses remain poorly defined. Through integrated metagenomic and IgA profiling, this study identifies commensal taxa, particularly Lactobacillus, Oscillibacter, and Morganella, associated with pathogen-specific IgA in infants. These taxa may enhance mucosal defense against enteric pathogens, revealing key microbial contributors to early immune development. The findings provide a foundation for designing next-generation infant formulas that leverage targeted probiotics or prebiotics to promote protective IgA responses and gut health.

microbiology↗

bioRxiv2025

Methylphenidate-induced reductions in choice impulsivity are associated with alterations in cortico-striatal beta oscillations.

Impulsive choice- preferring small, immediate rewards over larger, delayed reward- is a hallmark of many psychiatric disorders. Methylphenidate, a dopamine and noradrenaline transporter inhibitor, reduces impulsivity, but the neural mechanisms underlying this effect remain unclear. Identifying a neurophysiological signature of methylphenidates action could be used clinically to predict treatment response and guide drug development. To this end, we recorded local field potentials (LFP) from 32 electrodes spanning cortico-striatal circuits in rats performing a temporal discounting task, under saline or methylphenidate treatment conditions. Methylphenidate decreased beta frequency (15-30 Hz) power and connectivity for small, immediate rewards while simultaneously increasing beta power for large, delayed rewards. Reduced connectivity in cortico-striatal networks during small rewards predicted increased preference for delayed rewards. These findings suggest that methylphenidate influences discounting behavior by modulating reward-evoked beta oscillations in cortico-striatal networks. Thus, beta oscillations may serve as a translational biomarker of treatment responsivity to monoaminergic drugs, providing a circuit-level assay to measure and predict changes in impulsive behavior.

neuroscience↗

bioRxiv2025

Integrated histopathologic modeling of detailed tumor subtypes and actionable biomarkers

Accurate cancer subtyping with accompanying molecular characterization is critical for precision oncology. While machine learning approaches have been applied to both digital pathology and cancer genomics, previous work has been limited in sample size and has typically aggregated granular cancer subtypes into coarse groupings, likely obfuscating informative molecular and prognostic associations and phenotypic variation of more detailed tumor subtypes. Accordingly, we collated 378,123 hematoxylin and eosin (H&E)-stained whole-slide images (WSIs) with matched targeted DNA clinical sequencing results and OncoTree detailed cancer subtypes from a real-world cohort of 71,142 patients. Using this scaled, granular dataset and a cancer subtype knowledge graph, we developed Mosaic: a family of calibrated machine learning models using H&E WSI embeddings to classify tumors and identify molecular phenotypes across 163 detailed subtypes. The cancer subtyping module (Aeon) achieved an area under the receiver operating characteristic curve (AUROC) of 0.992 overall, with 161/163 subtypes reaching an AUROC [≥] 0.90 and improved performance over a state-of-the-art genomics-based classifier. The genomic inference module (Paladin) achieved an AUROC [≥] 0.80 for 167 pairs of detailed subtypes and genomic targets. We further used the learned histopathologic representations to i) identify key associations of the histopathologic embeddings with clinical biomarkers; ii) identify unsupervised sub-clusters of tumors with genomic determinants of tumor phenotype; iii) specify granular diagnoses for cancers of unknown primary, evaluated by genomic associations and expected clinical outcome distributions; iv) annotate functional significance for variants of uncertain significance (VUS); and v) identify cases that mimic the phenotypic effect of known DNA variants on H&E in the absence of detectable DNA alterations. Taken together, this work advances our understanding of phenotypic variation of granular tumor subtypes, their relevance to enhanced diagnostics, and their potential utility in risk stratification with multimodal machine learning in cancer.

cancer biology↗

bioRxiv2025

CD40 agonistic-monovalent streptavidin fusion antibody for targeted neoantigen peptide delivery and potent cancer vaccination

Cancer vaccines targeting patient-derived neoantigens offer great promise for personalized cancer therapy but face challenges in achieving targeted delivery to antigen-presenting cells (APCs) to elicit robust and durable cancer-specific immune responses. We synthesized an anti-mouse CD40 agonistic-monovalent streptavidin fusion antibody (CD40-mSAs), which enables targeted delivery of biotinylated neoantigen peptides to APCs in draining lymph nodes (dLNs). We confirmed mSA expression on the engineered antibody and its strong binding affinities to mouse CD40 and biotin. Advanced microscopy demonstrated that CD40-mSAs enhances homing to dLNs and intracellular delivery of neoantigen peptides to critical APC subsets, such as cDC1. The potent agonistic effects of CD40-mSAs on dendritic cell maturation, activation, and antigen presentation were verified through in vitro assays. Vaccination with CD40-mSAs elicited robust cancer-specific CD8 T cell responses, leading to significant tumor regression and prevention in a mouse tumor model. These results support CD40-mSAs as an all-in-one vaccine delivery platform with multifunctional immunopharmacological advantages and strong translational potential for personalized cancer vaccination. TeaserCD40-mSAs is an engineered anti-CD40 agonistic antibody designed to enhance cancer vaccine delivery.

immunology↗

bioRxiv2025

CloneCoordinate: Open-source software for collaborative DNA construction

Custom DNA constructs have never been more common or important in the life sciences. Many researchers therefore devote substantial time and effort to molecular cloning, aided by abundant computer-aided design tools. However, support for managing and documenting the construction process, and for effectively handling and reducing the frequency of setbacks, is lacking. To address this need, we developed CloneCoordinate, a free, open-source electronic laboratory notebook specifically designed for cloning and fully implemented in Google Sheets. By maintaining a real-time, automatically prioritized task list, a uniform physical sample inventory, and standardized data structures, CloneCoordinate enables productive, collaborative cloning for individuals or teams. We demonstrate how the information captured by CloneCoordinate can be leveraged to troubleshoot assembly problems and provide data-driven insights into cloning efficiency. CloneCoordinate offers a new and uniquely accessible model for how to carry out, and iteratively improve on, real-world DNA assembly.

synthetic biology↗

bioRxiv2025

CPT1B-Mediated Fatty Acid Oxidation Induces Pigmentation in Solar Lentigo

IntroductionCellular senescence is associated with altered lipid metabolism, including increased cellular lipid uptake, upregulated lipid biosynthesis, and deregulated lipid breakdown. Previous studies have reported that carnitine palmitoyltransferase (CPT), the rate-limiting enzyme in fatty acid oxidation that catalyzes the conversion of acyl-CoA to acylcarnitine, is involved in various senescence-related diseases. Although solar lentigo (SL) is an age-related pigmentary disorder characterized by the accumulation of senescent cells, its role in metabolic dysregulation has rarely been investigated. Methods and ResultsIntegrated transcriptomic profiling of SL skin samples, combining mRNA sequencing, differential gene expression, pathway enrichment analyses, metabolic flux simulations, and protein-protein interaction analysis, was conducted to demonstrate the molecular alterations in SL compared to perilesional normal skin. We found transcriptomic alterations in mitochondrial energy metabolism-associated genes. Metabolic flux simulations revealed that carnitine-associated reactions involved in fatty acid oxidation were upregulated. Using a multi-omics approach, CPT1B was selected as a potential marker for SL, which was confirmed via its overexpression in immunohistochemical studies. Using a zebrafish model, CPT1B was implicated in melanogenesis. DiscussionCPT1B-mediated metabolic alteration is a key driver of SL pathogenesis. Targeting CPT1B and the associated lipid metabolism pathways is a novel therapeutic approach for managing SL and age-related pigmentation disorders. Research HighlightsSolar lentigo (SL) exhibits altered mitochondrial metabolism and fatty acid oxidation. CPT1B activation regulates pigmentation, suggesting that targeting CPT1B may offer a novel therapy for SL and other age-related pigmentary disorders. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=176 HEIGHT=200 SRC="FIGDIR/small/659823v1_ufig1.gif" ALT="Figure 1"> View larger version (45K): org.highwire.dtl.DTLVardef@81fce3org.highwire.dtl.DTLVardef@1bf3forg.highwire.dtl.DTLVardef@b2c119org.highwire.dtl.DTLVardef@1a38b23_HPS_FORMAT_FIGEXP M_FIG C_FIG

systems biology↗