Biology subjects

Lei, S.

Publications and source records attributed to Lei, S..

At least 19 recordsLinked to original sources

bioRxiv2026

Stoichiometric m6A regulation of YY1 orchestrates the metabolic switch during cardiac development

Chemical modifications of RNA provide an additional regulatory layer essential for development. N6A methyladenosine (m6A) is the most abundant internal mRNA mark, but how site specificity, stoichiometry, and cellular context together determine mRNA fate remains unclear. Here, we define these rules in cardiogenesis by combining single-molecule nanopore direct RNA sequencing (DRS) with a CRISPRdCas13 epitranscriptomic editing platform in human induced pluripotent stem cells and a conditional Mettl14 cardiac knockout in mice, integrated with multiomics, to map m6A sites and quantify stoichiometry. We uncover a bimodal m6A code in which low versus high modification ratios are associated with opposite mRNA and protein outcomes. We further show that Mettl14 loss causes developmental cardiomyopathy and embryonic lethality by disrupting the glycolysis to oxidative phosphorylation (OXPHOS) metabolic switch, and identify an m6A YY1 (Yin Yang 1) axis that post transcriptionally controls OXPHOS genes. Finally, targeted installation of m6A at defined sites using CRISPR/dCas13 reveals that m6A effects on YY1 are strongly locus and context dependent. Together, these findings establish m6A as a site and stoichiometry dependent regulatory code interpreted by cellular context to direct cardiac metabolic maturation. These principles are likely to extend to other developmental and physiological contexts in which precise control of metabolic state and gene dosage is required.

developmental biology↗

bioRxiv2026

ASOCompass: Context- and Chemistry-Aware Activity Prediction for Transferable Antisense Oligonucleotide Screening

Antisense oligonucleotide (ASO) activity is jointly influenced by nucleotide sequence, chemical modification, target-RNA context, dose, delivery protocol, and cellular environment. Most existing computational screening methods model only a subset of these factors, limiting their ability to predict experimentally measured activity across heterogeneous screening conditions and previously unseen biological contexts. We introduce ASOCompass, a context-and chemistry-aware framework for ASO activity prediction and candidate ranking. ASOCompass integrates contextualized ASO and target-RNA sequence representations with position-specific molecular representations of chemical modifications. It further incorporates dose and delivery information together with prototype-adapted transcriptomic representations of target genes and cell lines. To encourage chemically and biophysically informative representations, the model is jointly trained on auxiliary molecular-property and sequence-derived thermodynamic prediction tasks. We evaluate ASOCompass on ASO Atlas, a large patent-derived dataset of RNase H-mediated gapmer ASOs, under held-out drug, target-gene, cell line, and joint gene-cell line settings. ASOCompass achieves an overall Spearman correlation of 0.5970, improving over the strongest ASO-specific baseline by 0.0421, and consistently performs best across all four distribution shifts. When adapted to unseen SOD1 and KLKB1 targets, ASOCompass also provides more accurate candidate ranking across different annotation budgets, reaching correlations of 0.830 and 0.696 with 1,024 target-specific labels. Additional analyses suggest that molecular-property supervision improves modification-specific ranking, while the auxiliary thermodynamic task produces representations more closely aligned with measured inhibition. These results demonstrate the potential of jointly modeling sequence, chemistry, and experimental-biological context for transferable ASO screening.

bioinformatics↗

bioRxiv2026

A hierarchical activation threshold shapes RSV F antibody repertoires from toddler vulnerability to adult protection

Respiratory syncytial virus (RSV) causes severe infant morbidity, yet the mechanisms underlying their suboptimal immunity and the failure of prefusion F-stabilized adult vaccines in infants remain unclear. Here we integrate deep mutational scanning of 761 preF-binding antibodies, repertoire profiling of 102 repeatedly exposed pediatricians and 61 RSV-experienced toddlers, structural analysis, and >40,000 viral genomes to decode RSV F immunity. We resolved 12 immunologically distinct functional antibody subclasses and uncovered a hierarchical activation threshold: apical epitope-targeting antibodies with superior neutralizing potency demand extensive somatic hypermutation and cooperative CDR networks, whereas central-to-basal epitope-directed, marginal or non-neutralizing antibodies engage germline-encoded antibodies through minimal mutations (e.g., S31G). Toddler repertoires are confined to low-threshold, non-productive sites; adult repertoires enrich for apical elite neutralizers whose immune pressure drives contemporary RSV-B evolution. These reframe pediatric RSV vulnerability as a threshold-gated repertoire deficit and prescribe vaccine strategies that actively redirect immunodominance from permissive epitopes toward high-barrier apical targets.

immunology↗

bioRxiv2026

Establishment of microbial strains from the river, groundwater, and soil in the hyporheic zone is limited despite connectivity

Microbial diversity across ecosystems may be impacted by dispersal pathways and selection due to physiochemical conditions, and so it is hard to predict the extent of strain sharing across heterogeneous environmental compartments. Evaluation of patterns of strain-level overlap requires genome-level comparisons using extensive datasets collected over large spatial scales. Here, we sampled microbiomes beneath (hyporheic zone) and within the East River (Colorado, USA) and found little or no strain overlap at sites along the river corridor, despite connection by river flow, suggesting selection due to the local environment. Comparisons involving microbiomes from hillslopes and riparian zone soil yielded essentially no strain-level overlap with the microbiomes of river and hyporheic zones. We also sampled a nearby groundwater well and found near-perfect genotypic overlap with strains in one hyporheic zone location that exhibited active groundwater upwelling. Given an absence of direct connectivity between these two locations via discrete hydrologic flow paths, we conclude that groundwater strains are widely dispersed in the aquifer. As hyporheic zone microbiomes in zones with low river flow share no strains with groundwater microbiomes, we infer that strains introduced by groundwater mixing in the hyporheic zone are transitory. We conclude that despite evidence for mixing of river-and-hyporheic zone water, and river-and-groundwater on short time scales, establishment of transported strains in the hyporheic zone is minimal.

microbiology↗

bioRxiv2026

The origin and evolution of archaeal Borg extrachromosomal elements

Borgs are giant linear extrachromosomal elements (ECEs) of methane-oxidizing Methanoperedens archaea whose evolutionary origin and ecosystem distribution remain unknown. Here we detected 240 Borgs in diverse saline, soil, and freshwater ecosystems. 27 encode methyl-coenzyme M reductases central to methane metabolism, eight have full rRNA operons related to those of Methanoperedens, and some contain up to four ribosomal proteins. We also identified 323 mini-Borgs whose proteome content and gene phylogenies classify as a distinct ECE type. Based on 105 complete and near-complete genomes, Borgs and mini-Borgs share core genes in conserved order, indicating common ancestry. Phylogenetic and diversity analyses suggest that Borgs evolved via gene acquisition into a backbone inherited from mini-Borgs. This evolutionary trajectory mirrors those proposed for giant viruses of both eukaryotes and bacteria.

microbiology↗

bioRxiv2026

A Brain-wide Neuronal Spiking and Behavior Dataset for Working Memory-Specific Activation and Reactivation in Mice

AbstractHow do millisecond-scale neural activities mediate multi-second behaviors such as working memory? This dataset provides brain-wide, high-spatiotemporal-resolution single-unit spiking activity recorded from 40 head-fixed mice performing an olfactory delayed paired-association (ODPA) task, encompassing 33,028 neurons across 62 anatomically defined brain regions. Utilizing this dataset enables the extraction of millisecond-scale within- and cross-region spike couplings enriched among memory-content-selective neurons. These couplings may be used to identify higher-order, hierarchically structured activity motifs. Because these multi-neuron patterns are captured both during active task performance and spontaneous inter-trial intervals, this dataset provides a resource for studying replay-related activity and for testing hypotheses about circuit-level processes associated with perceptual working memory. The dataset supports broad investigations into cross-regional spike organization, functional coupling, and temporal coding in working memory circuits.

neuroscience↗

bioRxiv2026

Jumbo circular extrachromosomal elements of methane-oxidizing archaea with variably extensive metabolic and defense gene repertoires

Archaeal extrachromosomal elements (ECEs) are arguably the least well understood of all genetic elements, and few have > 200 kbp ("jumbo") genomes. Here, we report circular, jumbo ECEs with genomes of up to 535 kbp in length that associate with anaerobic methane-oxidizing Methanoperedens archaea. Notably, a 409-kbp genome related to jumbo ECEs is integrated into a subset of the [~]4.2 Mbp Methanoperedens chromosomes at the tRNA-Asp genes. This represents the largest integrative element in Archaea and supports the jumbo ECE - host association. Multiple genome alignment and phylogenetic analyses suggest that the large sizes were developed by extensive DNA acquisition from Methanoperedens. The newly identified ECEs encode, and in some cases express, metabolic genes such as tetrahydromethanopterin S-methyltransferase exclusively involved in methane oxidation, and genes for nitrogen and sulfur compound transformations. Also encoded are defense systems, some of which are absent in hosts, such as hybrid Type I/Type III-A CRISPR-Cas systems. In contrast to viruses and plasmids, they have host-like replication machinery and occur at stable copy ratios of 1.44 {+/-} 0.24 : 1 to the host. Overall, our results reveal a spectrum of jumbo ECEs of Methanoperedens, ranging from plasmid-like to minichromosome-like.

microbiology↗

bioRxiv2025

IGHV3-53 antibody abundance drives divergent SARS-CoV-2 immune imprinting

The mechanisms driving divergent SARS-CoV-2 immune imprinting in populations with distinct SARS-CoV-2 exposure histories remain unclear. However, conventional wild-type mouse models fail to recapitulate severe imprinting, even after potent ancestral-strain mRNA immunization, hindering imprinting-related mechanistic investigation and vaccine evaluation. Here, we surprisingly found that V(D)J-humanized mice could faithfully recapitulate human severe imprinting phenotypes. Comprehensive antibody repertoire analysis and deep mutational scanning-based epitope mapping of 583 monoclonal antibodies from these models revealed that the pre-existing IGHV3-53/66 antibody abundance determine imprinting severity through antibody-mediated masking of Omicron-specific epitopes. Both passive IGHV3-53/66 antibody transfer and IGHV3-53 knock-in were sufficient to induce severe imprinting in wild-type mice. Together, these findings demonstrate that the V(D)J germline repertoire--even a single germline-encoded antibody response--can profoundly shape humoral imprinting severity. Accordingly, we established an IGHV3-53 knock-in mouse model that accurately recapitulates the human antibody landscape, providing a valuable tool for guiding future COVID-19 vaccine updates.

immunology↗

bioRxiv2025

Simultaneous Isolation and Characterization of Lipoprotein Classes in Plasma, Including HDL Subclasses and the Uncharacterized Dense HDL

Lipoproteins (LPP) and extracellular vesicles are carriers of extracellular small RNA, with potential applications both in the areas of diagnostics and therapeutics. Lipid nanoparticles overlap across a range of densities and sizes in plasma, making them difficult to isolate intact and without contamination from other plasma components. Accurate characterization of their cargo through efficient isolation from other plasma components is required to understand their function. Here we describe the simultaneous separation of LPP classes using sequential flotation ultracentrifugation followed by size exclusion chromatography from 500{micro}L of starting plasma. Using western blot, denaturing and non-denaturing gel electrophoresis, nuclear magnetic resonance, and electron microscopy, we demonstrate separation of the LPP classes with minimal contamination. We also show unique lipidomic, proteomic and small RNA signatures for each LPP class, including, for the first time, very high density high density lipoprotein particles in the density range of 1.21-1.25 g/mL. MotivationIn plasma, lipid nanoparticles overlap in size and density, making it difficult to separate and isolate intact particles. Additionally, currently available methods do not allow for simultaneous characterization and isolation of these particles. This method resolves both challenges. The results presented also analyze and describe the presence of known lipoprotein particles, as well as those that have been previously under-characterized.

molecular biology↗

bioRxiv2025

Phage-based microbiome manipulation elucidates interactions within community context

Testing microbial interaction hypotheses remains a major challenge in microbiome research. Bacteriophages have the potential to probe organism-organism interactions within complex microbiomes, yet are rarely used for this purpose. Here, we isolated nine narrow host range phages that replicate in several ecologically important Variovorax species. As Variovorax CL14 degrades the plant root-stunting hormone auxin, we used phages to eliminate V. CL14 from a rhizosphere consortium and reestablished the stunted root phenotype. We used three of the phages to deplete another Variovorax, SCN45, from complex communities to test correlation network-based hypotheses of thiamine interdependencies. Genome-resolved metagenomics revealed that specific taxa decreased in relative abundance following Variovorax depletion and could be rescued by thiamine supplementation. Thus, we confirmed thiamine production as the mechanistic basis for interdependence. These experiments lay the foundation for research that employs wildtype and engineered phages to test interaction hypotheses and for targeted microbiome manipulation.

microbiology↗

bioRxiv2025

Differential endopeptidase requirements during adaptation to changing growth conditions in Vibrio cholerae

The bacterial cell wall is a covalently linked meshwork of peptidoglycan (PG) that establishes cell shape and prevents osmotic lysis. This structure must be flexible enough to accommodate transenvelope protein complexes, but strong enough to withstand high intracellular pressure. In order to elongate and divide, cells must remodel the cell wall through the concerted action of PG synthesis and degradation. Endopeptidases, a class of PG degrading enzymes, facilitate cell growth by hydrolyzing PG crosslinks. Vibrio cholerae encodes several functionally redundant endopeptidases, two of which are nearly identical: ShyA and ShyC. To investigate differential roles of these enzymes, we assessed growth and morphology of ShyA and ShyC mutants. We found that ShyA, but not ShyC, is required for normal adaptation to low osmolarity medium. Cells lacking ShyA exhibited longer lag phase and aberrant morphology during adaptation, and reduced survival in the presence of a beta-lactam antibiotic. Lastly, our experiments revealed that cells lacking ShyAs LysM domain exhibited more severe defects than cells lacking ShyA altogether, implicating the LysM domain in proper regulation of ShyA activity.

microbiology↗

bioRxiv2024

The active subset of grassland soil microbiomes changes with soil depth, water availability and prominently features predatory bacteria and episymbionts

Mediterranean grasslands, vital natural and agricultural ecosystems, experience seasonal variation in water content that likely affect microbial activity. We used metagenomics-informed stable isotope probing to investigate how the activities of microorganisms in Angelo Reserve (2160 mm rainfall) and Hopland (956 mm rainfall) soil change over depth and the seasons. At both sites, we find that the relative abundances of organisms in shallow soil changes relatively little but the most abundant organisms vary greatly with soil depth. Notably the highest levels of isotope incorporation, indicative of growth, occurs in deep soils. The active part of the 0-10 cm soil community varies over time, especially in Hopland soils during the fall rewetting. We defined a large, novel clade of Actinomycetota with notable capacity for thiosulfate oxidation whose representatives are prevalent and active in deep soils (>20 cm) across both ecosystems. Active Saccharibacteria unexpectedly encode nucleotide synthesis genes that enabled isotope incorporation while growing in shallow Angelo soils over all time periods. In contrast to predicted episymbiotic lifestyles of Saccharibacteria, other highly active bacteria are predicted predators. Obligately predatory Pseudobdellovibrio are active in intermediate depth Hopland soils whereas bacteria of the order Haliangiales are active in shallow Angelo soils. Supporting predatory lifestyles of Haliangiales, we used in silico structure prediction to assemble a large protein complex that we identify as a contractile injection system. Overall, the results indicate the potential for active carbon turnover in deep grassland soil and strong seasonal changes in the active members of microbial communities, despite relatively minor shifts in community composition.

bioinformatics↗

bioRxiv2024

Convergent evolution of viral-like Borg archaeal extrachromosomal elements and giant eukaryotic viruses

Borgs are huge extrachromosomal elements of anaerobic methane-oxidizing archaea. They exist in exceedingly complex microbiomes, lack cultivated hosts and have few protein functional annotations, precluding their classification as plasmids, viruses or other. Here, we used in silico structure prediction methods to investigate potential roles for [~]10,000 Borg proteins. Prioritizing analysis of multicopy genes that could signal importance for Borg lifestyles, we uncovered highly represented de-ubiquitination-like Zn-metalloproteases that may counter host targeting of Borg proteins for proteolysis. Also prevalent are clusters of multicopy genes for production of diverse glycoconjugates that could contribute to decoration of the host cell surface, or of putative capsid proteins that we predict multimerize into hexagonal arrays. Features including megabase-scale linear genomes with inverted terminal repeats, genomic repertoires for energy metabolism, central carbon compound transformations and translation, and pervasive direct repeat regions are shared with giant viruses of eukaryotes, although analyses suggest that these parallels arose via convergent evolution. If Borgs are giant archaeal viruses they would fill the gap in the tri(um)virate of giant viruses of all three domains of life. One Sentence SummaryProtein analyses, informed by in silico protein structure prediction, revealed that Borgs share numerous features with giant eukaryotic viruses, suggesting that Borgs have a viral-like lifestyle and evolutionary convergence of large extrachromosomal elements across the Domains of Life.

microbiology↗

bioRxiv2024

Phenotypic landscape of a fungal meningitis pathogen reveals its unique biology

Cryptococcus neoformans is the most common cause of fungal meningitis and the top-ranked W.H.O. priority fungal pathogen. Only distantly related to model fungi, C. neoformans is also a powerful experimental system for exploring conserved eukaryotic mechanisms lost from specialist model yeast lineages. To decipher its biology globally, we constructed 4328 gene deletions and measured--with exceptional precision--the fitness of each mutant under 141 diverse growth-limiting in vitro conditions and during murine infection. We defined functional modules by clustering genes based on their phenotypic signatures. In-depth studies leveraged these data in two ways. First, we defined and investigated new components of key signaling pathways, which revealed animal-like pathways/components not predicted from studies of model yeasts. Second, we identified environmental adaptation mechanisms repurposed to promote mammalian virulence by C. neoformans, which lacks a known animal reservoir. Our work provides an unprecedented resource for deciphering a deadly human pathogen.

microbiology↗

bioRxiv2024

Transcriptional and Metabolic Mechanism of Carbon Dots Enhancing Rice Growth and Resistance by Promoting Root

Increasing climate change and pollutant discharge induce constant challenges to crops, while crops are vulnerable to environmental and pollutant stresses. In this study, a carbon dots (CDs) was developed that significantly increased rice seedling growth, and successfully reduced the inhibition of heavy metal cadmium (Cd), salt (NaCl), and herbicide 2,4-D stresses on rice seedling growth by pre-spraying. The root of rice seedlings responded specifically to CDs exposure, with significant improvements in root biomass, architecture, cell wall thickness, mechanical strength, and metabolic vitality. Metabolomics and transcriptomics were combined to reveal the regulatory mechanism of CDs in rice seedlings. Transcriptome analysis indicated that CDs upregulated genes related to cytokinin, jasmonic acid, salicylic acid, MAPK signaling pathway, calcium homeostasis, and peroxidase, and downregulated those related to auxin, abscisic acid, and ethylene. Metabolomic analysis suggested CDs improved the metabolites related to antioxidant (betalain, ascorbate, aldarate, and glutathione), formation of cell wall, plasma membrane, xylem, and root cortex (phenylpropanoids biosynthesis, stilbenoid, diarylheptanoid and gingerol biosynthesis, and sphingolipid), and energy metabolism (nicotinate, nicotinamide, glyoxylate, dicarboxylate, and nitrate cycle) in rice seedlings. Therefore, pre-spraying CDs reprogrammed stress signaling pathways and enhanced adaptive responses in rice seedlings, ultimately increasing growth potential and stress resistance. This study presents a promising nano-bio-stimulant of CDs for crop resilience in the context of increasing climate change and contributes to sustainable agriculture.

physiology↗

bioRxiv2024

A Ketogenic Diet Sensitizes Pancreatic Cancer to Inhibition of Glutamine Metabolism

Pancreatic cancer is the third leading cause of cancer death in the United States, and while conventional chemotherapy remains the standard treatment, responses are poor. Safe and alternative therapeutic strategies are urgently needed1. A ketogenic diet has been shown to have anti-tumor effects across diverse cancer types but will unlikely have a significant effect alone. However, the diet shifts metabolism in tumors to create new vulnerabilities that can be targeted (1). Modulators of glutamine metabolism have shown promise in pre-clinical models but have failed to have a marked impact against cancer in the clinic. We show that a ketogenic diet increases TCA and glutamine-associated metabolites in murine pancreatic cancer models and under metabolic conditions that simulate a ketogenic diet in vitro. The metabolic shift leads to increased reliance on glutamine-mediated anaplerosis to compensate for low glucose abundance associated with a ketogenic diet. As a result, glutamine metabolism inhibitors, such as DON and CB839 in combination with a ketogenic diet had robust anti-cancer effects. These findings provide rationale to study the use of a ketogenic diet with glutamine targeted therapies in a clinical context. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=186 SRC="FIGDIR/small/604377v1_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@1ebeefforg.highwire.dtl.DTLVardef@97e2ceorg.highwire.dtl.DTLVardef@1ab45c3org.highwire.dtl.DTLVardef@1713540_HPS_FORMAT_FIGEXP M_FIG C_FIG Graphical Abstract Description: Mechanistic rationale for combining a ketogenic diet and glutamine metabolism inhibitors. The combination of low glucose from a ketogenic diet and pharmacologic glutamine inhibition impairs nutrient input to mitochondria, reducing cancer growth.

cancer biology↗

bioRxiv2024

The Effects of Functional Training on Muscle Strength in Athletes: A Meta-Analysis

The study aimed to analyze the effects of functional training (FT) on athletes muscle strength compared to traditional resistance training (TRT). A systematic search was conducted in 6 databases from inception to January 2024. Baseline and outcome measures from randomized controlled trials (RCT) were assessed for the impact of FT on athlete muscle strength, across sex, age, and sports levels. Hedges g effect sizes were calculated using a random-effects model, and subgroup and single training factor analyses were performed to address potential sources of heterogeneity, along with a meta-regression analysis. The inclusion of 67 studies involving 1718 athletes revealed significant moderate to large effects of FT on maximum strength (k=11; ES=2.68; p[≤] 0.001), power (k=12; ES=0.68; p<0.001), as well as muscle endurance(k=12; ES=4.13; p<0.001).In conclusion, FT appears to offer potential benefits for enhancing muscle strength in athletes, with considerations for individual differences in sex, age, and training programs. Findings suggest that longer training sessions may be associated with improvements in maximum strength and muscle endurance, whereas shorter sessions might be more conducive to power development. Additionally, preliminary evidence hints that younger athletes may experience more pronounced training benefits, though this observation requires further investigation to establish a more definitive correlation.

physiology↗

bioRxiv2024

Characterization of sediment and granite hosted deep underground research laboratories reveals diverse microbiome functions, limited temporal variation and substantial genomic conservation

Underground research laboratories (URLs) provide a window on the deep biosphere and enable investigation of potential microbial impacts on nuclear waste, CO2 and H2 stored in the subsurface. We carried out the first multi-year study of groundwater microbiomes sampled from defined intervals between 140 and 400 m below the surface of the Horonobe and Mizunami URLs, Japan. We reconstructed draft genomes for >90% of all organisms detected over a four year period. The Horonobe and Mizunami microbiomes are dissimilar, likely because the Mizunami URL is hosted in granitic rock and the Horonobe URL in sedimentary rock. Despite this, hydrogen metabolism, rubisco-based CO2 fixation, reduction of nitrogen compounds and sulfate reduction are well represented functions in microbiomes from both URLs, although methane metabolism is more prevalent at the organic- and CO2-rich Horonobe URL. High fluid flow zones and proximity to subsurface tunnels select for candidate phyla radiation bacteria in the Mizunami URL. We detected near-identical genotypes for approximately one third of all genomically defined organisms at multiple depths within the Horonobe URL. This cannot be explained by inactivity, as in situ growth was detected for some bacteria, albeit at slow rates. Given the current low hydraulic conductivity and groundwater compositional heterogeneity, ongoing inter-site strain dispersal seems unlikely. Alternatively, the Horonobe URL microbiome homogeneity may be explained by higher groundwater mobility during the last glacial period. Genotypically-defined species closely related to those detected in the URLs were identified in three other subsurface environments in the USA. Thus, dispersal rates between widely separated underground sites may be fast enough relative to mutation rates to have precluded substantial divergence in species composition. Species overlaps between subsurface locations on different continents constrain expectations regarding the scale of global subsurface biodiversity. Overall, microbiome and geochemical stability over the study period has important implications for underground storage applications.

microbiology↗