bioRxiv Science⌕ Search

Biology subjects

Liang, S.

Publications and source records attributed to Liang, S..

At least 37 records · Page 2Linked to original sources

Determinants of Protein-Level Parameters Governing MS2 VLP Reassembly

MS2 virus-like particles (VLPs) are widely used as protein nanocages for cargo encapsulation, yet in vitro disassembly-reassembly protocols remain poorly standardized, and reassembly yields are reported inconsistently. As a result, the same experiments reported in literature produce widely divergent yields, limiting reproducibility and cross-study comparability. Here, we introduce a cargo-specific, quantitative framework for standardized MS2 VLP reassembly yield determination. We evaluate commonly used disassembly and post-disassembly processing methods and identify practical trade-offs between protein recovery, accessibility, and reproducibility. Reassembly yield is quantified using size exclusion chromatography calibrated against purified VLP standards, enabling robust, cargo-specific yield measurement. Using this framework, we apply a full factorial design of experiments to quantify the individual and combined effects of coat protein concentration, ionic strength, buffer pH, and molecular crowding on reassembly yield. The resulting statistical model explains more than 99% of the explainable variance and its linear fit to the experimental data indicates that optimal reassembly conditions extend beyond those tested to date. Protein concentration and ionic strength dominate reassembly yield, whereas pH and osmolyte concentration contribute more modestly within the tested ranges. Finally, we propose practical guidelines for standardized MS2 VLP disassembly, reassembly, and yield reporting, defining a transferable operating envelope for MS2 VLP reconstruction. While demonstrated here using a single nucleic acid cargo (tr-DNA), the framework is readily extensible to alternative cargos and coat protein variants.

biophysics↗

Hierarchical taxonomic constraints shape bacterial nitrogen cycling across functional and molecular scales

Microbes are essential for global nitrogen cycling, yet the extent to which taxonomic identity constrains functional potential remains poorly quantified. Using 73,472 representative bacterial genomes, we establish a multi-scale quantitative framework revealing systematic, hierarchical relationships between taxonomic identity and nitrogen cycling functional potential. Hierarchical variance decomposition reveals that taxonomy explains 20-46% of functional variation across six nitrogen pathways, with the strongest constraints for dissimilatory nitrite reduction to ammonium (46.1%) and nitrogen fixation (44.2%), both negatively correlated with functional prevalence. K-means clustering identifies four class-level functional archetypes (Functionally Inactive, Diversified, Integrated, and Specialized) among 77 bacterial classes. 1,281 genera resolve into five ecological strategies differentiated by their nitrogen retention versus loss capabilities, exhibiting strong phylogenetic signals. Cross-scale validation demonstrates 78.7% genus-level conformity to class-level archetypes, confirming hierarchical functional organization. Molecular evolutionary analysis of 13 genes reveals sequence conservation as a dimension partially independent of pathway-level functional constraints. Paradoxically, the functionally most constrained pathway exhibits only moderate sequence conservation (nrfA: 9th/13 genes), while a moderately constrained pathway shows exceptional conservation (napA). Four constraint-conservation patterns demonstrate that gene-specific structural and ecological factors generate evolutionary rate variation independently of taxonomic associations. Our results establish a hierarchical framework in which taxonomic constraints set baseline functional potential, ecological trade-offs shape strategy diversification, and molecular evolution modulates gene-level conservation patterns across biological scales. This framework establishes quantitative baselines that enable probabilistic inference of nitrogen cycling capabilities from taxonomic composition, with potential applications in amplicon-based community analysis, targeted cultivation, and biogeochemical modeling. ImportanceA fundamental challenge in microbial ecology is inferring functional potential from taxonomic data--a relationship widely assumed but never rigorously quantified. Resolving this is critical because while amplicon sequencing provides cost-effective taxonomic profiling, functional characterization requires expensive metagenomics, limiting large-scale biogeochemical studies. We provide the first systematic quantification demonstrating that taxonomic identity explains 20-46% of nitrogen cycling functional variation, operating hierarchically from class to genus level. Crucially, we reveal that taxonomic constraints operate at both functional distribution and molecular evolution levels as partially independent dimensions, indicating distinct evolutionary mechanisms. This work establishes quantitative foundations for taxonomy-based functional prediction, enabling researchers to extract functional insights from readily available taxonomic surveys. As reference databases expand, this framework will enhance predictive capabilities for nitrogen cycling and broader biogeochemical processes.

genomics↗

Peptacetobacter felis sp. nov., a novel bile acid-converting bacterial species isolated from the feces of healthy cats in the United States

Six strains of a novel anaerobic bacterial taxa exhibiting bile acid-transforming activity were isolated from fecal samples of clinically healthy cats living in Oakland, California. 16S rRNA sequencing and phylogenetic analysis indicate that strain AB800T belongs to the genus Peptacetobacter, with Peptacetobacter hiranonis strain JCM 10541 (98% coverage, 99.7% identity) as its closest relative. Whole genome sequencing shows an average nucleotide identity (ANI) of less than 96% (95.73% ANI, 90.53% AF) with the closest validly named species being Peptacetobacter hiranonis DGF055142. The size is about 2.58 Mb, containing 2,355 predicted coding sequences and 2,450 annotated genes. Phenotypic characterisation, and comprehensive genomic analysis, including ANI, digital DNA-DNA hybridization (dDDH) and core genome phylogenetic analysis, placing the strain AB800T on a separate branch, supported the classification of a novel species, strain AB800T (DSM 120482 = LMG 34035) with the proposed name Candidatus Peptacetobacter felis sp. nov., derived from "felis" the latin name of cat felis catus. These findings expand our understanding of host-associated bile acid converters and provide promising candidates for probiotic development.

microbiology↗

TissueNarrator: Generative Modeling of Spatial Transcriptomics with Large Language Models

The intricate spatial organization and molecular communication among cells are fundamental to multicellular systems. Spatial transcriptomics (ST) enables gene expression profiling while preserving spatial context, providing rich data for studying cellular interactions and tissue dynamics. However, most existing computational approaches focus on embedding-based tasks and provide limited generative capacity for simulating cell behavior in situ. Moreover, accurately interpreting spatial interactions requires extensive biological knowledge, which current models do not incorporate. Here, we introduce TO_SCPLOWISSUEC_SCPLOWNO_SCPLOWARRATORC_SCPLOW, a framework that reformulates spatial omics analysis as a language modeling problem. By representing tissue sections as spatial sentences - rank-based gene lists augmented with spatial coordinates and metadata - TO_SCPLOWISSUEC_SCPLOWNO_SCPLOWARRATORC_SCPLOW leverages pretrained large language models (LLMs) to learn spatially conditioned gene expression patterns. The model generates realistic, context-aware cellular profiles, predicts intercellular interactions, and performs in silico perturbation analyses. Across multiple ST technologies (MERFISH, Perturb-FISH, and CosMx SMI), TO_SCPLOWISSUEC_SCPLOWNO_SCPLOWARRATORC_SCPLOW achieves superior quantitative performance and recovers biologically meaning-ful ligand-receptor and signaling pathways. Furthermore, a conversational inference mode enables natural-language querying of tissue organization. By integrating pretrained biological knowledge with spatial context, TO_SCPLOWISSUEC_SCPLOWNO_SCPLOWARRATORC_SCPLOW establishes a new, scalable generative paradigm for modeling, simulating, and reasoning about tissue systems.

bioinformatics↗

Sexually dimorphic role of estrogen receptor α in preserving right ventricular endothelial integrity

Right ventricular (RV) function and adaptation to afterload increase determine survival in pulmonary hypertension (PH). RV adaptation in PH is sexually dimorphic and more preserved in females, mediated by protective estrogen receptor (ER) signaling in cardiomyocytes. However, the effects of ER on RV endothelial cells (RVECs), a critical mediator of RV homeostasis and adaptation, are unknown. We hypothesized that ER exerts sexually dimorphic pro-angiogenic effects on RVECs in vitro and promotes RV vascularization in vivo. Compared to cells isolated from wild-type animals, RVECs from male and female rats with an ER loss-of-function mutation (ERMut) showed reduced ability to form pseudo-vascular networks and migrate. RVECs from female ERMut rats demonstrated increased apoptosis. In a PH model induced by monocrotaline (MCT), female ERMut rats exhibited increased RV hypertrophy and reduced RV capillary density before (10 days) and at the time of established PH (28 days). Capillary rarefaction was associated with increased RVEC apoptosis, and, as identified by single-nucleus RNA-sequencing, by a net loss of the endocardial RVEC sub-population. Differentially expressed gene analysis and pathway analysis identified that capillary and endocardial RVECs from female MCT-PH ERMut rats demonstrated decreased expression of migration pathways and increased expression of apoptosis pathways. These findings reveal a sex-specific endothelial-intrinsic role of ER that is essential for angiogenesis in the RV under both homeostatic and pathological conditions. This effect appears to stem from the enhanced survival and migration capacity of capillary and endocardial RVEC. Collectively, our results identify ER as a potential target for developing sex-specific RV-directed therapies in PH. Translational perspectiveEffects of ER on vascular function in RV failure induced by PH are poorly understood. We unveiled a novel sexually dimorphic role of ER in regulating RV vascularization and RVEC function. Single nucleus RNA-Sequencing in female wild-type and ER loss-of-function rats with PH identified 5 unique RVEC sub-populations under transcriptional control of ER. Our findings provide insights into previously undescribed pro-angiogenic, pro-migratory and anti-apoptotic roles of ER in female RVs and RVECs. Promoting RVEC migration or inhibiting RVEC apoptosis to enhance RV angiogenesis may be viable pathways to maintain RV function in PH patients of either sex. These findings offer novel opportunities and potential therapeutic avenues for preventing or treating RV failure.

cell biology↗

HEIMDALL: A Modular Framework for Tokenization in Single-Cell Foundation Models

Foundation models for single-cell RNA-sequencing (scRNA-seq) data are emerging as powerful tools for single-cell analysis, yet their performance depends critically on how cells are tokenized into model inputs. Single-cell data lack a canonical tokenization scheme, and many design choices in current single-cell foundation models (scFMs) remain heuristic, entangled, and difficult to evaluate. Here, we introduce HO_SCPLOWEIMDALLC_SCPLOW, a unified framework for dissecting and redesigning tokenizers in scFMs. By decomposing existing tokenization strategies into individual design choices, HO_SCPLOWEIMDALLC_SCPLOW enables attribution of the components that underlie robust generalization, allowing more principled design of improved tokenizers. Combining HO_SCPLOWEIMDALLC_SCPLOW with a minimal transformer backbone, we find that tokenizer design is instrumental for generalization in challenging distribution-shift settings such as cross-tissue, cross-species, and cross-gene-panel cell type classification, as well as reverse perturbation prediction. We show that, while tokenizer choice has little effect in scenarios with matched train and test data, it becomes imperative under distribution shift. Rather than identifying a single globally optimal tokenizer, HO_SCPLOWEIMDALLC_SCPLOW reveals that robust transfer depends on a small number of tokenization design axes - especially gene identity, expression encoding, and ordering - that expose different biological priors to the model. In this sense, universal transferability in scFMs still depends on a non-universal tokenizer interface. Together, these findings establish tokenization as a critical design axis in scFMs and provide design principles and reusable infrastructure for more robust scFMs.

bioinformatics↗

A novel allele of Sh1 underlines the conversion of waxy corn to wx-sweet corn

AbstractWaxy corn and sweet corn are two major types of fresh-eating corn. Each has significant market value due to its unique sensory and nutritional profiles. Developing a variety that combines both traits would meet growing consumer demand and create new market opportunities. From a fast neutron-mutagenized population of the waxy corn inbred line HB522, we identified a mutant, wx-sweet, whose kernels exhibit both waxy and sweet properties at the filling stage. Using bulked segregant analysis (BSA) and fine mapping, we localized the causal locus to SHRUNKEN1 (Sh1) on chromosome 9, which was confirmed by an allelic test with a known Mu-insertion mutant. PCR and sequencing indicated a putative large structural variation in the second and third exons of Sh1 in wx-sweet, likely disrupting the reading frame. This novel sh1 allele significantly reduced sucrose synthase activity. The sh1 and waxy1 mutant genes act synergistically to remodel carbohydrate metabolism in wx-sweet endosperms. This remodeling, revealed by integrated transcriptomic and metabolomic analyses, drives transcriptional reprogramming and restructures metabolic flux. These changes thereby enhance sucrose and raffinose accumulation, which underlies the unique waxy-sweet texture in fresh-eating maize endosperm. In summary, our work not provides valuable genetic resources for fresh-eating corn breeding, but also elucidates, for the first time, the molecular mechanism underlying the synergistic formation of waxy and sweet texture. Key messageThe novel allele of Sh1 acts synergistically with waxy1 to regulate carbohydrate metabolism, which elucidates the molecular mechanism for the unique waxy-sweet texture in fresh-eating corn endosperm. Our work provides new strategies for sweet-waxy maize breeding.

genetics↗

CaMKII-RNMT axis directs activity-dependent control of RNA dynamics in neurons

In neurons, mRNAs are transported into axons and dendrites for local translation at synapses. Diverse proteins support the transport of specific mRNAs, however, mechanisms co-ordinating mRNA translocation are unclear. We report that that CaMKII (Ca2+/calmodulin-dependent protein kinase II) is a key regulator of RNA dynamics through activity-dependent phosphorylation of the RNA cap guanine-7 methyltransferase, RNMT. Following RNA cap methylation in the nucleus, RNMT is retained on specific mRNAs. On stimulation, RNMT translocates into the cytoplasm, increasing levels of locally translated mRNAs. In the cytoplasm, CaMKII phosphorylates RNMT Thr317 on the active site, which inhibits methyltransferase activity and targets RNMT for degradation, thus limiting cytoplasmic RNMT function. RNMT mutants protected from CaMKII-dependent degradation increase locally translated, cytoplasmic mRNAs and accelerate neuronal morphogenesis. RNMT Thr317 phospho-mimic co-ordinately decreases locally translated mRNAs in the cytoplasm and reduces differentiation. The CaMKII-RNMT relationship links neuronal activity to the spatial regulation of gene expression in neurons. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=126 SRC="FIGDIR/small/685591v1_ufig1.gif" ALT="Figure 1"> View larger version (34K): org.highwire.dtl.DTLVardef@b97c4borg.highwire.dtl.DTLVardef@18f38eaorg.highwire.dtl.DTLVardef@1e1bcb0org.highwire.dtl.DTLVardef@12ac7c7_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

Integrative k-mer and Transcriptomic Analysis Reveals Putative Sex-Determining Genes in Spinacia turkestanica

Deciphering the regulation of sex-determining gene/s in dioecious crops is crucial for molecular breeding. However, the identification of sex-determining gene/s in Spinacia is challenging due to incomplete genome assemblies, high genomic similarity between males and females, and the limitations of transcriptome-only analyses, which may miss unannotated or novel genes in poorly assembled or absent genomic regions. To overcome these limitations, we employed a reference-genome-free k-mer approach to identify candidate sex-determining genes in Spinacia turkestanica, the closest evolutionary relative of cultivated spinach (S. oleracea). Male-specific reads were de novo assembled into contigs, revealing 21.5 Mb of the sex-determining region (SDR). Using the MAKER pipeline, which integrates transcriptomic and proteomic evidence, we predicted 226 protein-coding genes within the SDR, including nine previously unannotated. Transcriptomic profiling combined with weighted gene co-expression network analysis identified eight SDR DEGs, including two newly annotated genes, co-expressing during early male flower development. qPCR validation confirmed three SDR genes as candidate sex-determining factors, including TU_SDR00087 (bZIP domain), TU_SDR000168 (RNA-binding splicing factor domain), and TU_SDR000174 (MYB domain). Together, these findings provide a foundation for functional characterization of sex determination in Spinacia. HighlightA k-mer based analysis uncovered male-specific regions and candidate sex-determining genes in Spinacia turkestanica, advancing understanding of sex regulation and spinach breeding.

genetics↗

Three transcription factors coordinate the archaeal cell cycle progression through a regulatory braking point mechanism

Archaea of the order Sulfolobales execute a well-structured cell cycle program similar to that of eukaryotic cells. However, unlike eukaryotes, archaea lack cyclins and cyclin-dependent kinases and thus the mechanism of cell cycle regulation remained enigmatic. Here, we show that three essential ribbon-helix-helix domain transcription factors, namely, aCcr1, aCcr2, and aCcr3, play pivotal roles in controlling the cell cycle progression in the thermoacidophilic archaeon Saccharolobus islandicus. Coordinated expression of aCcr1 during M-G1 phase, aCcr3 during G1-S phase, and aCcr2 throughout the cell cycle ensures the timely transcription of the key genes that define the cell cycle phases. These include genes involved in chromosome dimer resolution, chromosome segregation, cell division, chromatin organization, DNA replication and repair, protein phosphorylation and degradation and metabolisms of amino acids, tRNA and carbohydrates. The synergy between aCcr1, aCcr2, and aCcr3 is achieved through their differencial affinities for the promoters and the levels of protein expression. We propose that the global regulation of the Sulfolobales cell cycle may be achieved not through transcriptional activation, but rather by repression of the key genes during strategic moments of the cell cycle. We propose a braking point model for the cell cycle control in Sulfolobales, which may represent a simple evolutionary intermediate on the way to the more complex cell cycle regulation in eukaryotes.

microbiology↗

A newly identified Duck orbivirus as the etiological agent of egg-production decline in Chinese breeder ducks

The genus Orbivirus comprises double-stranded RNA viruses, many of which are transmitted by arthropods and cause febrile, hemorrhagic, or reproductive diseases in animals. In recent years, unexplained outbreaks characterized by marked egg-production decline have occurred in breeder duck flocks in China. To identify the causative agent, samples were collected from affected farms in multiple regions across China between 2022 and 2025. Representative samples were analyzed by high-throughput sequencing, followed by phylogenetic analysis, transmission electron microscopy, host cell infection assays, and animal challenge experiments. A previously unreported Orbivirus, designated Duck orbivirus (DORV), was identified. Epidemiological investigation indicated that outbreaks mainly affected breeder ducks during the peak laying period (21-55 weeks of age), with higher incidence in summer and autumn. The DORV genome contains ten double-stranded RNA segments encoding seven structural and five nonstructural proteins. Phylogenetic analysis showed that DORV is closely related to Parrys Lagoon virus (PLV) and Corriparta virus (CORV). Electron microscopy revealed icosahedral particles 30-40 nm in diameter. DORV replicated efficiently in DEF, DEL and C6/36 cells but not in MDCK and LMH cells, suggesting a restricted host range with potential arthropod-borne features. Infection of breeder ducks with DORV-SD01 reduced egg production by 30-40% and caused lesions in the ovary, liver, and spleen. This study describes a novel duck-origin Orbivirus linked to egg-production decline, offering new etiological insights and extending the host spectrum of Orbivirus. The results provide a foundation for future surveillance and prevention of emerging waterfowl diseases.

microbiology↗

Genomic and Epigenetic Interplay Drives Adaptive Fusion via Reproduction Trade-Off

Investment in sexual reproduction has long been seen as a fitness cost for asexual proliferation, raising the question of how cells evolve to accommodate cyclical demands of sexual and asexual cycles. We addressed this question by evolving Schizosaccharomyces pombe lacking the critical fusion gene Prm1 through 18 cycles of alternating meiosis and mitosis. Initially, transcriptional tweaks offered a fragile means to fuse despite Prm1s absence. However, a telomeric 1% genome deletion that epigenetically silenced Clr5 ultimately locked in a latent, Prm1-independent fusion pathway involving the mating regulator Ste11 and the pheromone-MAPK scaffold Sms1. This adaptation, though efficient at restoring sexual reproduction, came at the cost of mitotic growth. By contrast, rationally constructing mutations in a "synthetic evolution" approach bypassed the trade-off, enabling simultaneous high fusion efficiency and near-wild-type proliferation. Our findings illustrate how epigenetic de-repression and genetic assimilation converge to create innovative solutions under cyclical selection pressures with trade-offs.

evolutionary biology↗

Depression symptoms enhance goal-directed behavior underuncertainty

A core premise in decision-making research is that beliefs about uncertain outcomes shape value-based choice: pessimistic expectations should reduce goal pursuit, whereas optimistic expectations should promote it. Depression provides a critical test of this assumption, as motivational symptoms such as apathy and anhedonia are linked to diminished expectations of success. Yet whether such biases actually impair goal-directed behavior, particularly when risk must be learned from experience, remains unknown. We developed a multi-step planning task in which participants (n = 384) learned the structure and risks of maze-like environments across two days, then chose between certain rewards and risky goals varying in reward magnitude and distance, with greater distance entailing higher compounding risk. Using transdiagnostic symptom factors, we observed a dissociation: individuals with elevated apathy-anhedonia reported lower subjective expectations of goal success, yet showed no reduction in risky goal pursuit. Instead, higher apathy-anhedonia was associated with enhanced performance, including stronger discrimination of goal values, increased model-based flexibility, and faster goal navigation. These effects were specific to apathy-anhedonia; other symptom factors, including worry and impulsivity, were unrelated to expectations or goal-directed behavior. Together, these findings demonstrate that pessimistic beliefs and goal-directed competence are dissociable, revealing that motivational symptoms can coexist with sharpened value-based planning when risk is learned from experience.

neuroscience↗

Overnight circuit remodelling drives juvenile alloparental care

Parental care is critical for the survival of altricial young and is mediated by neural circuits that are well characterised in adult rodents. Although adults can exhibit caregiving even before becoming parents, the developmental origins of this so-called alloparental behaviour remain unclear. Here, we show that alloparental behaviour in mice emerges abruptly between postnatal day (P)14 and 15, independently of prior social experience. This behavioural transition coincides with the onset of pup-specific activity in galanin-expressing medial preoptic area (MPOAGal) neurons, which are essential for parental behaviour in adulthood. Chemogenetic silencing of MPOAGal neurons abolishes caregiving in juveniles, suggesting that similar circuits control parenting across life stages. Viral trans-synaptic tracing and whole-cell recordings reveal extensive input remodelling of MPOAGal neurons between P14 and 15, marking a rapid transition from a highly connected, immature network to a sparser, adult-like circuit configuration. We identify microglia as key mediators of this process, as their ablation prevents both synaptic reorganisation and the emergence of alloparenting. Together, these findings uncover a previously unrecognised, microglia-dependent developmental switch that enables caregiving in juveniles through rapid circuit reconfiguration.

neuroscience↗

Synthetic Rewiring of Virus-Like Particles via Circular Permutation Enables Modular Peptide Display and Protein Encapsulation

Virus-like particles (VLPs) are self-assembling nanoparticles derived from viruses with potential as scaffolds for myriad applications. They are also excellent testbeds for engineering protein superstructures. Engineers often employ techniques such as amino acid substitutions and insertions/deletions. Yet evolution also utilizes circular permutation, a powerful natural strategy that has not been fully explored in engineering self-assembling protein nanoparticles. Here, we demonstrate this technique using the MS2 VLP as a model self-assembling, proteinaceous nanoparticle. We constructed, for the first time, a comprehensive circular permutation library of the fused MS2 coat protein dimer construct. The strategy revealed new terminal locations, validated via cryo-electron microscopy, that enabled C-terminal peptide tagging and led to a stable protein encapsulation strategy via covalent bonding - a feature the native coat protein does not permit. Our systematic study demonstrates the power of circular permutation for engineering new features as well as quantitatively and systematically exploring VLP structural determinants.

synthetic biology↗

PP2A METHYLESTERASE, PME-1, AND PP2A METHYLTRANSFERASE, LCMT-1, CONTROL SENSITIVITY TO IMPAIRMENTS CAUSED BY INJURY-RELATED OLIGOMERIC TAU

Oligomeric species of tau are a hallmark of multiple neurodegenerative diseases such as Alzheimers disease (AD) and chronic traumatic encephalopathy (CTE). Given the evidence implicating protein phosphatase 2A (PP2A) in the molecular pathogenesis of tau-related neurodegenerative disorders, we sought to determine whether manipulating the expression of enzymes that regulate PP2A activity, such as leucine carboxyl methyltransferase 1 (LCMT-1) and protein methyl esterase 1 (PME-1), might impact pathological responses to oligomeric tau. Here, we tested the effect of transgenic overexpression of LCMT-1 or PME-1 on cognitive and electrophysiological impairments caused by exposure to either recombinant oligomeric human tau or oligomeric tau prepared from mice subjected to blast-induced traumatic brain injury. We found that overexpression of LCMT-1 reduced sensitivity to tau-induced impairments, while overexpression of PME-1 increased sensitivity to these impairments. Moreover, we found that shockwave exposure increased the propensity of endogenous tau to form toxic oligomers. These results suggest that manipulating LCMT-1 or PME-1 activity may represent novel therapeutic approaches for disorders involving exposure to pathogenic forms of oligomeric tau.

neuroscience↗

Biophysical modeling for accurate T cell specificity prediction of viral and tumor antigens

Accurate predictions of T cell receptor (TCR) specificity remain an important open problem in immunology, with broad implications for vaccine design, optimal immunotherapy, and improved management of autoimmune diseases. However, diversity in peptide antigens and TCR sequences at the level of individual patient repertoires remains a formidable computational challenge. Here, we develop a joint experimental and computational approach for predicting the antigen specificity of clinically-derived TCR sequences. Our model is trained on a combination of experimentally pre-identified and in silico-predicted TCR-pMHC structures using AlphaFold3. We apply our structural model in the clinical setting of hematopoietic stem cell transplant (HSCT) and demonstrate that our model is able to effectively discern the specificity of previously unseen donor and patient-derived TCR sequences against tumor associated and viral antigens. Model performance was further enhanced through the integration of sequence-based clustering and structurally diverse training templates. Our results highlight the predictive capabilities of structurally guided machine learning frameworks, trained on a minority test dataset, for antigen specificity prediction on unseen TCR sequences and their potential impact on a wide range of immunological applications.

immunology↗

Activity-based probes and chemical proteomics reveal the potential of targeting HMGCS1 for cancer therapy

Mevalonate is a precursor for essential metabolites, such as isoprenoids and sterols. Its synthesis starts with HMGCS1 producing HMG-CoA, which is then converted to mevalonate by HMGCR, a target of statins. Cancer cells often upregulate enzymes in the mevalonate pathway (MVP) to meet their metabolic demands, leading to the development of inhibitors targeting several enzymes in this pathway. However, current inhibitors have not yet shown significant anti-cancer activity. While HMGCS1 has unique biochemical properties that distinguish it from other MVP enzymes, the effects of inhibiting HMGCS1 have not been thoroughly investigated. Here, we present a set of chemical probes that enable us to systematically assess the proteome-wide selectivity and potency of Hymeglusin, the primary inhibitor of HMGCS1 used in the field, confirming it as a useful tool for short-term HMGCS1 inhibition. Inhibiting HMGCS1 with Hymeglusin causes proteome changes that are nearly identical to those caused by inhibiting HMGCR or degrading HMGCS1. Accordingly, simultaneously targeting HMGCS1 and HMGCR effectively suppresses the growth of statin-resistant cells and xenograft models, without increasing the risk of side effects. Finally, we find that while Hymeglusin is a valuable tool for short-term mechanistic studies, its usefulness is limited for long-term efficacy studies due to its poor stability in serum. Together, this study highlights the biological implications of targeting HMGCS1 as monotherapy or in combination with statins, and caution is required when using Hymeglusin as a tool.

biochemistry↗