Biology subjects

Lee, B.

Publications and source records attributed to Lee, B..

At least 55 records · Page 3Linked to original sources

bioRxiv2025

Modeling human phenotypes in the nematode C. elegans during an undergraduate developmental biology course

Caenorhabditis elegans is a widely used model organism in biomedical research due to its genetic tractability, short life cycle, and conservation of many developmental processes with humans. In this study, undergraduate students conducted nine independent experiments during a Developmental Biology course to model human phenotypes using C. elegans. Each group selected a human phenotype of interest, identified a gene associated with the phenotype, and then determined the orthologous or homologous gene in C. elegans. By obtaining mutants and designing phenotypic assays, students investigated the extent to which the worm models could recapitulate aspects of the human condition. This collective work highlights both the potential and limitations of C. elegans as a model for human phenotypic variation and disease and demonstrates the value of undergraduate inquiry as a catalyst for scientific engagement and research-based learning.

scientific communication and education↗

bioRxiv2025

Characterization of Human Anterior Neural Organoids as a Model for Investigating Cohen Syndrome

Neural organoids display three-dimensional (3D) structures that resemble in vivo neural architectures. Previously, we developed a novel two-dimensional (2D) neural induction-based protocol for culturing spinal cord organoids, enabling size control and recapitulating neural tube morphogenesis. In this study, we evaluated the application of this concept to induce the anterior regions of the brain and generate human anterior neural organoids (hANOs). By inducing neuroepithelial (NE) cells in 2D and re-aggregating them led to tube-forming morphogenesis similar to that posterior spinal cord induction. The transcriptome profiles of these hANOs resembled the frontal cortex of 20 weeks post-conception (PCW) human embryos. Using this hANOs protocol, we investigated microcephaly phenotypes associated with Cohen syndrome (CS), caused by biallelic loss-of-function variants in VPS13B gene. Deleting VPS13B in human pluripotent stem cells resulted in Golgi dispersion and growth retardation onset in mutant hANOs, akin to CS patients with postnatal microcephaly. This delay is partly linked to reduced neuronal growth. Additionally, mature CS organoids showed enhanced hyper-excitability associated with an excitatory/inhibitory imbalance. In conclusion, this protocol is suitable for studying microcephaly phenotypes from human genetic mutations due to its simplicity and scalability.

neuroscience↗

bioRxiv2025

Linoleic acid metabolite, 13-S-hydroxyoctadecadienoic acid, suppresses cancer cell growth by inhibiting mTOR

Mechanistic target of rapamycin (mTOR) is a key protein kinase that integrates various internal and external signals to control biological events including cell growth. Whereas substantial efforts were made to elucidate protein subunits interacting with mTOR, endogenous metabolite-mTOR interactions remain largely unknown. Using affinity protein purification and mass spectrometry, we identified direct binding of mTOR to 13-S-hydroxyoctadecadienoic acid (13-S-HODE) which is an oxygenated metabolite of linoleic acid, a polyunsaturated essential fatty acid. Interaction of 13-S-HODE with the catalytic ATP-binding domain of mTOR prevented its kinase activity in an ATP-competitive manner. Furthermore, either 13-S-HODE treatment or expression of arachidonate 15-lipoxygenase (ALOX15), an enzyme responsible for 13-S-HODE production, reduced mTOR signaling, thereby suppressing the growth of cancer cells as well as tumor xenografts. Our results highlight the importance of 13-S-HODE serving as a tumor suppressive, mTOR-inhibiting metabolite that links polyunsaturated fatty acid metabolism and the mTOR signaling in controlling cancer cell growth.

biochemistry↗

bioRxiv2025

A high-quality genomic catalog of the human oral microbiome broadens its phylogeny and clinical insights

Understanding the taxonomic and functional diversity of the human oral microbiome requires comprehensive genomic catalogs. We present the human reference oral microbiome (HROM), with 72,641 high-quality genomes from 3,426 species, including 2,019 novel species, significantly improving metagenomic sequence read classification over existing catalogs. Notably, HROM unveils 1,137 novel candidate phyla radiation (CPR) species, establishing Patescibacteria as the most prevalent phylum in the oral microbiota, with oral Patescibacteria forming a distinct clade from environmental Patescibacteria. We also identify an oral CPR subclade associated with periodontitis, which complement Porphyromonas gingivalis in predicting the disease. Finally, comparing HROM with reference genomes of the human gut microbiome reveals significant taxonomic and functional divergence between the oral and gut microbiomes. We identify 42 ectopic oral species and demonstrate that their relative abundance in gut microbiota is predictive of intestinal, cardiovascular, and liver diseases, highlighting the clinical importance of the oral microbiota in systemic disorders.

microbiology↗

bioRxiv2025

A genetically encoded selection for amyloid-β oligomer binders

Soluble amyloid beta oligomers (A{beta}Os) are a hypothesized source of neurotoxicity in Alzheimers Disease. Binding proteins that recognize these species may have high utility in diagnostic and therapeutic applications. However, identifying binders that recognize A{beta}Os directly generated from the aggregation cascade is made challenging by the short lifetime and low concentrations of oligomer populations. We report a new strategy for detecting binding to A{beta}Os as they form during A{beta}42 aggregation using a genetically encoded biosensor. We show that our method enables rapid and highly reproducible measurement of the activity of existing A{beta}O binders and can be used to select for new binders with improved potency. We uncover hits that are >20 fold more effective than reported binders at delaying secondary nucleation, the step in A{beta} aggregation thought to generate the highest amounts of toxic oligomers. Our approach may greatly accelerate the discovery and characterization of binding proteins that target A{beta}Os.

synthetic biology↗

bioRxiv2025

Parity and APOEε4 genotype contribute distinct changes to functional connectivity across the middle-aged brain

Cognition and its underlying neurobiology change throughout the trajectory of aging, with prominent sex differences and influences of sex-specific factors. Research has shown that parity (pregnancy and parenthood) uniquely altered various biomarkers of brain health in middle age depending on presence of Alzheimers disease (AD) risk. The present study builds on prior work by providing a comprehensive view of functional connectivity changes and elucidating how network-level dynamics contribute to cognitive outcomes depending on primiparity and APOE{varepsilon}4 genotype, the top genetic risk factor for late-onset sporadic AD risk. We assessed neural activation in middle-aged wildtype and hAPOE{varepsilon}4 rats that were either nulliparous (0 litters) or primiparous (1 litter). Activation of the immediate early gene zif268 was quantified across 19 brain regions implicated in memory and AD. Primiparous hAPOE{varepsilon}4 rats exhibited widespread reductions in neural activation, particularly in the dorsal striatum, nucleus accumbens, frontal cortex, and retrosplenial cortex. Network analyses further revealed that primiparous wildtype rats had the most cohesive and efficient functional connectivity networks. Notably, the hierarchy of influence of brain regions within the neural network shifted based on parity and hAPOE{varepsilon}4 genotype. Activation of hippocampal new-born neurons in conjunction with subregions of the dorsal striatum, frontal cortex, and retrosplenial cortex dynamically predicted cognitive performance in a parity- and genotype-dependent manner. These findings underscore the lasting impact of reproductive history on brain health and cognitive aging, highlighting the need to consider sex-specific experiences in aging and AD research.

neuroscience↗

bioRxiv2025

Cigarette Smoke and Decreased DNA Repair by Xeroderma Pigmentosum Group C Use a Double Hit Mechanism for Epithelial Cell Lung Carcinogenesis

Emerging evidence suggests a complex interplay of environmental and genetic factors in non-small cell lung cancer (NSCLC) development. Among these factors, compromised DNA repair plays a critical but incompletely understood role in lung tumorigenesis and concurrent lung diseases, such as chronic obstructive lung disease (COPD). In this study, we investigated the interplay between cigarette smoke, DNA damage and repair, focusing on the Nucleotide Excision Repair (NER) protein Xeroderma Pigmentosum Group C (XPC). We found decreased XPC mRNA expression in most NSCLCs compared to subject-matched, non-cancerous lung. In non-cancerous bronchial epithelial cells, cigarette smoke decreased NER, increased total DNA damage and resultant apoptosis, each exacerbated by XPC deficiency. In contrast, lung cancer cells exhibit greater resilience to cigarette smoke, requiring higher doses to induce comparable DNA damage and apoptosis, and are less reliant on XPC expression for survival. Importantly, XPC protects against chromosomal instability in benign bronchial epithelial cells, but not in lung cancer cells. Our findings support a "double hit" mechanism wherein early decreased XPC expression and resultant aberrant DNA repair, when combined with cigarette smoke exposure, may lead to loss of non-malignant epithelial cells (as observed in COPD), and contributes to early NSCLC transition through altered DNA damage response.

cancer biology↗

bioRxiv2025

Evolutionary and structural basis of SLAM utilization in morbilliviruses - Its implications for host range and cross-species transmission

Morbilliviruses, including measles virus (MV), canine distemper virus (CDV), and cetacean morbillivirus, pose a significant threat to humans and animals. While the host range of morbilliviruses is generally well-defined, severe cross-species transmission events also have been reported. Their entry into immune cells, the primary targets of morbilliviruses, relies on the signaling lymphocytic activation molecule (SLAM), a receptor whose species-specific variations influence viral host range. However, the extent to which SLAM diversity is a barrier to cross-species transmission remains poorly understood. In this study, we systematically investigated SLAM-mediated host specificity. We found that most morbilliviruses efficiently utilize SLAM from multiple host species, except for human SLAM. Among the morbilliviruses tested, only MV efficiently utilized human SLAM. Bats are natural reservoirs for many zoonotic viruses. Recent discoveries of novel morbilliviruses in bats provide new insights into morbillivirus evolution. Bats may have played a significant role in morbillivirus evolution because bat (Myotis) SLAM also functioned as an efficient receptor for multiple morbilliviruses. Unlike other morbilliviruses, MV utilized Myotis bat SLAM inefficiently. We conducted an MV adaptation experiment with Myotis bat SLAM to better understand SLAM recognition by morbilliviruses. MV readily adapted to utilize Myotis bat SLAM by acquiring a single N187Y mutation in its hemagglutinin protein, and computational structural modeling and fragment molecular orbital calculations with molecular dynamics simulations revealed key interaction changes that facilitated MVs adaptation to Myotis bat SLAM. These findings highlight the adaptability of morbilliviruses in utilizing diverse animal SLAMs. Notably, hypothetical ancestral SLAMs reconstructed in this study acted as universal receptors for all morbilliviruses. These results reinforced that morbillivirus receptor usage is primarily supported by evolutionarily conserved structural features of SLAM, highlighting a molecular basis that enables morbilliviruses to rapidly adapt to diverse animal SLAMs. Author SummaryOur study explores how viruses in the genus morbillivirus, such as measles virus, canine distemper virus, and rinderpest virus, which are notorious for deadly outbreaks in humans and animals, can jump between species. The host range of morbilliviruses is significantly influenced by a receptor molecule on cell surfaces known as the signaling lymphocytic activating molecule (SLAM). By examining SLAMs from various animals, including humans, dolphins, dogs, seals, and bats, we observed how these viruses can infect or adapt to infect different hosts. We found that in some cases slight differences in SLAM may act as initial barriers to cross-species transmission. However, these viruses rapidly overcome such barriers, showing a remarkable ability to adapt. Our research highlights the importance of monitoring these viruses to predict and prevent potential cross-species infections, which is crucial for protecting public health and animal welfare over time.

microbiology↗

bioRxiv2025

Delivery of caspase inhibitors through GSDMD pores to inhibit pyroptosis

Caspase-1, -4, -5, and -11 activate Gasdermin D (GSDMD) to form pores in the plasma membrane. In addition to releasing interleukin (IL)-1{beta} and IL-18, GSDMD pores cause a lytic, proinflammatory form of cell death called pyroptosis. Blocking this pathway holds therapeutic promise for the treatment of inflammatory disorders, but clinical trials of cell permeable caspase inhibitors have been unsuccessful. Here, we describe covalent inhibitors of proinflammatory caspases that are impermeable to healthy cells but effectively block caspase-1 driven pyroptosis and IL-1{beta} secretion. Their failure to inhibit apoptosis implies inhibitor entry through GSDMD pores. Propidium iodide entered rescued cells, confirming transient membrane permeabilization via caspase-1 and GSDMD. Caspase-1 inhibition prevented rather than delayed cell death, likely due to the activation of membrane repair mechanisms neutralizing the initial GSDMD pores. Notably, inhibiting caspase-1 and -11 suppressed IL-1{beta} and IL-18 production in a mouse model of endotoxic shock. These findings underscore the therapeutic potential of exploiting GSDMD pores for the delivery of caspase inhibitors, offering a novel strategy for treating inflammatory diseases.

cell biology↗

bioRxiv2025

A Domain-Specific Language Model Approach for Identifying Immunogenic Epitopes from Publicly Available Data: EpitopeMiner

Personalized cancer vaccines represent a transformative approach in immunotherapy, leveraging tumor-specific antigens, such as neoantigens, to stimulate durable and targeted immune responses. However, identifying immunogenic neoantigen epitopes through conventional approaches - relying on in silico predictions followed by experimental validation - remains a significant challenge due to limitations of computational tools and scattering of experiment data. To address these challenges, we introduce EpitopeMiner, a domain-specific large language model (LLM) enhanced with a Retrieval-Augmented Generation (RAG) framework, specifically designed to identify immunogenic epitopes predicted by existing computational tools. EpitopeMiner utilizes a custom database of MHC-I-associated epitope-related literature to provide domain-specific knowledge, enhancing the precision and relevance of LLM-generated responses. EpitopeMiner offers three key features: First, the ability to identify epitopes with similar sequences and potentially similar immunogenic effects, which is especially valuable for neoantigens that are patient-specific and rarely found in public datasets. Second, it supports multiple epitope searches with structured outputs, enhancing scalability. Third, it provides original text chunks and paper identifiers, significantly simplifying validation and further exploration of the retrieved knowledge. Applying EpitopeMiner to well-characterized MHC class I epitopes demonstrates its ability to consistently retrieve relevant papers, efficiently providing targeted insights on T-cell response and immunogenicity, outperforming a commercial AI-powered literature tool. Notably, when applied to lymphoma patient-derived neoantigens, EpitopeMiner successfully retrieves immune response information for a few similar epitopes, despite operating with a relatively smaller database compared to the benchmark tool. All in all, EpitopeMiner bridges the gap between computational prediction and experimental validation, providing a scalable solution for extracting knowledge from public data, fostering cross-study synergies, and accelerating the development of personalized cancer vaccines.

cancer biology↗

bioRxiv2024

Degradation of organic matter by ecologically distinct microbiomes uniformly promotes plant growth

In this study, we explore the relationship between ecologically distinct soil microbiomes and their role in plant growth promotion through organic matter (OM) decomposition. Using a controlled experimental system, we tested whether living microbiomes from geographically and ecologically distinct environments impact plant biomass when provided with OM in the form of dried, ground leaves. Results showed a consistent threefold increase in plant biomass when a living microbiome and organic matter were present, regardless of the microbiomes origin, which included agricultural fields, desert soil, and pine-oak forest soil, municipal compost, and the microbiome on unautoclaved organic matter. Bacterial community profiling based on 16S amplicon sequencing revealed genera, e.g. Massilia, that were significantly associated with decomposition and subsequent plant growth promotion. This suggests a conserved functional capacity for organic matter decomposition across diverse microbiomes, likely due to evolutionary pressures to efficiently break down plant material for nutrient acquisition. The study provides a framework for further investigation into microbial consortia that enhance plant growth via decomposition, offering a robust experimental system to identify microbes and microbial processes that could be harnessed to improve nutrient uptake from organic inputs like cover crops.

microbiology↗

bioRxiv2024

T cell epitope mapping reveals immunodominance of evolutionarily conserved regions within SARS-CoV-2 proteome.

As SARS-CoV-2 variants continue to emerge capable of evading neutralizing antibodies, it has become increasingly important to fully understand the breadth and functional profile of T cell responses to determine their impact on the immune surveillance of variant strains. Here, sampling healthy individuals, we profiled the kinetics and polyfunctionality of T cell immunity elicited by mRNA vaccination. Modeling of anti-spike T cell responses against ancestral and variant strains of SARS-CoV-2 suggested that epitope immunodominance and cross-reactivity are major predictive determinants of T cell immunity. To identify immunodominant epitopes across the viral proteome, we generated a comprehensive map of CD4+ and CD8+ T cell epitopes within non-spike proteins that induced polyfunctional T cell responses in convalescent patients. We found that immunodominant epitopes mainly resided within regions that were minimally disrupted by mutations in emerging variants. Conservation analysis across historical human coronaviruses combined with in silico alanine scanning mutagenesis of non-spike proteins underscored the functional importance of mutationally-constrained immunodominant regions. Collectively, these findings identify immunodominant T cell epitopes across the mutationally-constrained SARS-CoV-2 proteome, potentially providing immune surveillance against emerging variants, and inform the design of next-generation vaccines targeting antigens throughout SARS-CoV-2 proteome for broader and more durable protection. One Sentence SummaryPolyfunctional CD8+ and CD4+ T cells directed against SARS-CoV-2 target mutationally constrained regions of the viral proteome.

immunology↗

bioRxiv2024

Multi-laboratory Study Establishes Reproducible Methods for Plant-Microbiome Research in Fabricated Ecosystems

Inter-laboratory replicability is crucial yet challenging in microbiome research. Leveraging microbiomes to promote soil health and plant growth requires understanding underlying molecular mechanisms using reproducible experimental systems. In a global collaborative effort involving five laboratories, we aimed to help advance reproducibility in microbiome studies by testing our ability to replicate synthetic community assembly experiments. Our study compared fabricated ecosystems constructed using two different synthetic bacterial communities, the model grass Brachypodium distachyon, and sterile EcoFAB 2.0 devices. All participating laboratories observed consistent inoculum-dependent changes in plant phenotype, root exudate composition, and final bacterial community structure where Paraburkholderia sp. OAS925 could dramatically shift microbiome composition. Comparative genomics and exudate utilization linked the pH-dependent colonization ability of Paraburkholderia, which was further confirmed with motility assays. The study provides detailed protocols, benchmarking datasets, and best practices to help advance replicable science and inform future multi-laboratory reproducibility studies.

microbiology↗

bioRxiv2024

Paramyxovirus matrix proteins modulate host cell translation via exon-junction complex interactions in the cytoplasm

Viruses have evolved myriad strategies to exploit the translation machinery of host cells to potentiate their replication. However, how paramyxovirus (PMVs) modulate cellular translation for their own benefit has not been systematically examined. Utilizing puromycylation labeling, overexpression of individual viral genes, and infection with wild-type virus versus its gene-deleted counterpart, we found that PMVs significantly inhibit host cells nascent peptide synthesis during infection, with the viral matrix being the primary contributor to this effect. Using the rNiV-NPL replicon system, we discovered that the viral matrix enhances viral protein translation without affecting viral mRNA transcription and suppresses host protein expression at the translational level. Polysome profile analysis revealed that the HPIV3 matrix promotes the association of viral mRNAs with ribosomes, thereby enhancing their translation efficiency during infection. Intriguingly, our NiV-Matrix interactome identified the core exon-junction complex (cEJC), critical for mRNA biogenesis, as a significant component that interacts with the paramyxoviral matrix predominantly in the cytoplasm. siRNA knockdown of eIF4AIII simulated the restriction of cellular functions by the viral matrix, leading to enhanced viral gene translation and a reduction in host protein synthesis. Moreover, siRNA depletion of cEJC resulted in a 2-3 log enhancement in infectious virus titer for various PMVs but not SARS-CoV-2, enterovirus D68, or influenza virus. Our findings characterize a host translational interference mechanism mediated by viral matrix and host cEJC interactions. We propose that the PMV matrix redirects ribosomes to translate viral mRNAs at the expense of host cell transcripts, enhancing viral replication, and thereby enhancing viral replication. These insights provide a deeper understanding of the molecular interactions between paramyxoviruses and host cells, highlighting potential targets for antiviral strategies.

microbiology↗

bioRxiv2024

SARS-CoV-2 Nsp15 antagonizes the cGAS-STING-mediated antiviral innate immune responses

Coronavirus (CoV) Nsp15 is a viral endoribonuclease (EndoU) with a preference for uridine residues. CoV Nsp15 is an innate immune antagonist which prevents dsRNA sensor recognition and stress granule formation by targeting viral and host RNAs. SARS-CoV-2 restricts and delays the host antiviral innate immune responses through multiple viral proteins, but the role of SARS-CoV-2 Nsp15 in innate immune evasion is not completely understood. Here, we generate an EndoU activity knockout rSARS-CoV-2Nsp15-H234A to elucidate the biological functions of Nsp15. Relative to wild-type rSARS-CoV-2, replication of rSARS-CoV-2Nsp15-H234A was significantly decreased in IFN-responsive A549-ACE2 cells but not in its STAT1 knockout counterpart. Transcriptomic analysis revealed upregulation of innate immune response genes in cells infected with rSARS-CoV-2Nsp15-H234A relative to wild-type virus, including cGAS-STING, cytosolic DNA sensors activated by both DNA and RNA viruses. Treatment with STING inhibitors H-151 and SN-011 rescued the attenuated phenotype of rSARS-CoV-2Nsp15-H234A. SARS-CoV-2 Nsp15 inhibited cGAS-STING-mediated IFN-{beta} promoter and NF-{kappa}B reporter activity, as well as facilitated the replication of EV-D68 and NDV by diminishing cGAS and STING expression and downstream innate immune responses. Notably, the decline in cGAS and STING was also apparent during SARS-CoV-2 infection. The EndoU activity was essential for SARS-CoV-2 Nsp15-mediated cGAS and STING downregulation, but not all HCoV Nsp15 share the consistent substrate selectivity. In the hamster model, rSARS-CoV-2Nsp15-H234A replicated to lower titers in the nasal turbinates and lungs and induced higher innate immune responses. Collectively, our findings exhibit that SARS-CoV-2 Nsp15 serves as a host innate immune antagonist by targeting host cGAS and STING. Significance statementHost innate immune system serves as the primary defense against pathogens, including SARS-CoV-2. Co-evolving with the hosts, viruses develop multiple approaches to escape the host surveillance. SARS-CoV-2 silences and dysregulates innate immune responses, and the chaos of antiviral IFN responses highly correlates to COVID-19 disease severity. Nsp15 is a conventional innate immune antagonist across coronaviruses, but the biological impact about SARS-CoV-2 Nsp15 is still unclear. Here, we provide a novel insight that SARS-CoV-2 Nsp15 hampers the expression of innate immune regulator - cGAS and STING via its endoribonuclease activity, then further ameliorates virus replication.

microbiology↗

bioRxiv2024

HLA-E and NKG2A Mediate Resistance to M. bovis BCG Immunotherapy in Non-Muscle-Invasive Bladder Cancer

BackgroundBacillus Calmette-Guerin (BCG) is the standard of care treatment for high-risk non-muscle-invasive bladder cancer (NMIBC), yet many patients develop recurrent disease despite evidence of ongoing immune activation. We investigated mechanisms of immune escape in BCG-unresponsive tumors and evaluated the therapeutic potential of targeting the HLA-E/NKG2A axis. MethodsSingle-cell RNA sequencing, spatial immunophenotyping, proteomic profiling, and functional ex vivo assays were performed using tumors and urine samples from patients with BCG-naive and BCG-unresponsive NMIBC. ResultsBCG-unresponsive tumors were enriched for HLA-E-expressing malignant cells compared with BCG-naive tumors. Increased HLA-E expression was associated with enhanced IFN-{gamma} signaling and was induced by IFN-{gamma} stimulation in primary tumor cells and bladder cancer tumor lines. Spatial analyses demonstrated accumulation of NKG2A+ NK and CD8 T cells in proximity to HLA-Ehigh tumor cells, with increased NKG2A:HLA-E interactions in BCG-unresponsive tumors. Despite high expression of cytotoxic mediators, NKG2A+ effector cells displayed impaired degranulation. Blockade of NKG2A with monalizumab restored degranulation of and cytotoxicity by tumor-infiltrating lymphocytes in autologous tumor co-cultures. ConclusionsBCG-unresponsive NMIBC tumors are enriched for HLA-E-expressing tumor cells and NKG2A+ effector lymphocytes, with increased engagement of the HLA-E/NKG2A axis within the tumor microenvironment. These findings identify the HLA-E/NKG2A axis as a therapeutic vulnerability and provide a rationale for clinical evaluation of NKG2A blockade as a bladder-sparing strategy for patients with BCG-unresponsive disease.

cancer biology↗

bioRxiv2024

Latent Diffusion For Conditional Generation of Molecules

AO_SCPLOWBSTRACTC_SCPLOWDesigning a small molecule therapeutic is a challenging multi-parameter optimization problem. Key properties, such as potency, selectivity, bioavailability, and safety must be jointly optimized to deliver an effective clinical candidate. We present COATI-LDM, a novel application of latent diffusion models to the conditional generation of property-optimized, drug-like small molecules. Diffusive generation of latent molecular encodings, rather than direct diffusive generation of molecular structures, offers an appealing way to handle the small and mismatched datasets that are common for molecular properties. We benchmark various diffusion guidance schemes and sampling methods against a pre-trained autoregressive transformer and genetic algorithms to evaluate control over potency, expert preference, and various physicochemical properties. We show that conditional diffusion allows control over the properties of generated molecules, with practical and performance advantages over competing methods. We also apply the recently introduced idea of particle guidance to enhance sample diversity. We prospectively survey a panel of medicinal chemists and determine that we can conditionally generate molecules that align with their preferences via a learned preference score. Finally, we present a partial diffusion method for the local optimization of molecular properties starting from a seed molecule. Conditional generation of small molecules using latent diffusion models on molecular encodings provides a highly practical and flexible alternative to prior molecular generation schemes.

bioinformatics↗

bioRxiv2024

Phylogeny, morphology, and behavior of the new ciliate species Stentor stipatus

BackgroundStentor, the genus of large trumpet-shaped ciliates, is well-known for its complex morphology and striking behaviors. Members of this genus are distributed throughout the world in a wide and diverse pool of freshwater ecosystems. Recently, the molecular phylogeny of Stentor has been explored through comparison of 18S small subunit (SSU) ribosomal DNA (rDNA) sequences, clarifying several previously mischaracterized species and species complexes. However, despite their wide distribution, to-date, only about a dozen species of Stentor have been described and verified by phylogenetic means. ResultsHere, we introduce the discovery of a new species within genus Stentor: Stentor stipatus spec. nov., so named for their distinctive cytosolic dark pigmented granules which surround the macronucleus and are also present cortically alongside cortically-distributed green microalgae. We present morphological, phylogenetic, ecological, and behavioral characterizations of these cells. Phylogenetic analysis of S. stipatus spec. nov. by comparison of SSU rDNA sequence suggests it is a distinct species from its closest relative, S. amethystinus. We demonstrate that S. stipatus spec. nov. is capable of habituation in response to repeated mechanical stimulation. Further, S. stipatus spec. nov. exhibits strongly directed positive phototaxis, like its relative S. pyriformis, but with a distinct action spectrum from both S. coeruleus and S. pyriformis. Finally, S. stipatus phototaxis response strength varies in a consistent pattern throughout the day, providing evidence of potential circadian regulation. ConclusionsThis work expands the current understanding of the ecological distribution of and behavioral features present within genus Stentor.

cell biology↗