Biology subjects

Chen, L.

Publications and source records attributed to Chen, L..

At least 145 records · Page 8Linked to original sources

bioRxiv2026

DNA-templated Chiral Metamaterial Array as Information Bits

The growth of digital information demands physically secure information bits that combine intrinsic randomness with multi-layered optical readout. Digital metamaterials with physical unclonable function characteristics are promising, but nearly all examples operate at microwave or terahertz frequencies. Extending digital metamaterials to the visible range requires a physical property that allows binary (0/1) encoding via nanoscale geometry and is orthogonal to intensity-or color-based imaging. Chiral plasmonic metamaterials satisfy these criteria perfectly: their broken mirror symmetry yields chirality polarity in the visible spectrum whose sign and magnitude directly encode bit values ("0", spin-up; "1", spin-down), while remaining invisible under linear polarization. Here, we realize visible-range digital metamaterials by programming self-assembled DNA origami templates with asymmetrically placed gold nanorods to create discrete 3D chiral metamolecules. Using on-surface DNA origami assembly and the Silica Microsphere-Assisted Patterning by Liquid Elimination (SiMPLE) method, we fabricate large-scale bit arrays on optical active glass substrate in solution with [~]1.33 m lattice spacing, [~]86% site occupancy, and [~]12-month stability after silicification. These bottom-up fabricated digital metamaterial array exhibits two independent security layers: (1) a macroscopic spatial pattern only visible by dark-field microscopy, and (2) hidden binary information stored in the single-particle chiroptical response, read out by position-resolved circular dichroism spectroscopy. Quantitative analysis confirms reliable bit encoding and high optical randomness arising from slight structural variations. By leveraging the polarity of plasmonic chirality to translate molecular-scale handedness into robust visible-range digital signals, this work establishes a scalable nanophotonic platform for secure optical information storage, authentication, and encryption.

bioengineering↗

bioRxiv2026

VAETracer: Mutation-Guided Lineage Reconstruction and Generational State Inference from scRNA-seq

Somatic mutations accumulate with cell division and are key to understanding tumor evolution. While single-cell RNA sequencing (scRNA-seq) can effectively capture somatic mutations in the 3' untranslated region (3' UTR), enabling its use for lineage tracing, these data are inherently noisy and exhibit high false-positive rates. To address this limitation, we propose VAETracer, a deep learning framework that is able to reconstruct cellular lineages by extracting cellular generation index (CGI) from mutation profiles of 3' UTR in scRNA-seq data, thus enabling the inference of developmental trajectories without relying on noisy mutation signals (https://github.com/Kaiyu-W/VAETracer). There are two core components for VAETracer: (1) scMut module, which infers the CGI directly from sparse and noisy mutation matrices using our cumulative mutation model (CMM), effectively bypassing error-prone phylogenetic tree topologies caused by mutation noise, and (2) MutTracer module, which predicts ancestral and future latent cellular states or gene expressions at the single-cell level by integrating CGI information with measured transcriptomes. Validation on simulated and real tumor datasets shows that this method can accurately reconstruct clonal relationships, quantify tumor progression, and effectively infer unmeasured cellular states using only the measured scRNA-seq data. This work provides a new computational tool for extracting lineage information and revealing tumor evolution directly from widely available RNA-seq data.

bioinformatics↗

bioRxiv2026

CTLA-4 inhibitors drive colitis through metabolic reprogramming-mediated Treg/Th17 imbalance

Immune checkpoint inhibitors (ICIs), especially CTLA-4 inhibitors (CTLA-4), exhibit a high incidence of colitis as an immune-related adverse event (irAE) during cancer treatment, severely limiting patient benefit. Clinically, both treatment interruption and existing intervention drugs for ICI-mediated colitis may compromise antitumor efficacy. However, there is inadequate research on the pathogenesis of ICI-mediated colitis, with findings often conflicting. Here, we first established multiple clinically relevant animal models, including an immuno-humanized ICI-mediated colitis model. Through time-series transcriptomics, we discovered that CTLA-4-induced colonic toxicity exhibits characteristics ranging from early metabolic reprogramming represented by glycolysis to later immune disorders represented by Th17 responses. By targeting colonic CTLA-4+ T cells, CTLA-4 blocked CD80/CD86-CTLA-4 interaction, thereby activating the PI3K-AKT-mTOR pathway. Subsequently, mTOR mediated metabolic reprogramming in T cells, shifting them from Treg-biased oxidative phosphorylation to Th17-biased glycolysis. The colonic toxicity of CTLA-4 has also been demonstrated to depend on the PI3K-AKT-mTOR pathway, glycolysis, and Th17 responses. Notably, metformin significantly relieved ICI-mediated colitis by inhibiting mTOR without impeding antitumor efficacy. Collectively, these findings highlighted the metabolic-immune axis in the colonic toxicity of ICI and provided a clinically superior intervention strategy.

pharmacology and toxicology↗

bioRxiv2026

GerAB Residues Predicted to Interact with Water Based on MD Simulations Mediate Germinosome Stability in Bacillus subtilis spores

Some species in the Bacillales and Clostridiales orders form spores under unfavourable environmental conditions. These spores are metabolically dormant and highly resistant to extreme stress. The spore core--analogous to the protoplast of vegetative cells--contains only 25-45% water by wet weight, compared to ~80% in vegetative cells. Upon activation by small-molecule nutrients, spores germinate, restoring their core water content, restoring metabolism and becoming easy to kill, while progressing through outgrowth to vegetative growth. GerAB is the B subunit of the prototypical Bacillus subtilis GerA GR (germinant receptor), a membrane protein belonging to the Amino Acid--Polyamine-Organocation (APC) superfamily of transporters. It functions as the L-alanine sensor that initiates germination and was previously predicted, based on molecular dynamics (MD) simulations, to contain a putative water channel. Using MD simulations, we identified low amount of water permeating through GerAB (ranging from 1-121 water molecule/{micro}s in 10 parallel MD simulations), thus revealing a water pathway in GerAB that diverges from the L-alanine binding pocket, suggesting that water transport may play roles in germination beyond facilitating ligand binding. Analysis of water-residue contact frequencies identified eight hydrophilic residues lining this path. Individual substitution of high-contact residues with similarly sized non-polar residues impaired L-alanine germination and disrupted GerAB structural integrity as assessed by Western Blotting. These mutants also respond to the AGFK germinant mixture (L-asparagine, D-glucose, D-fructose and potassium) in slower, yet individually distinct kinetics compared to that of wt spores. These findings prove that water contact residues in GerAB predicted by MD simulations are crucial for the stability of this protein and thus the germinosome complex with all GRs.

microbiology↗

bioRxiv2026

Pan-cancer silencer transcription atlas reveals leukemia silencer hijacking FOXP1 to enhance MYC oncogene

Numerous non-coding regulatory elements have been identified in the human genome. However, our understanding of silencers remains largely incomplete. Here, we proposed the concept of silencer transcriptional activity (STA) to investigated silencers from a new perspective using >20,000 transcriptomes. We demonstrated that lower STAs predicted better patient outcomes in most cancers, and a subset of STAs distinguished tumors from noncancerous tissues for most cancer types. Importantly, we discovered a silencer-linked RNA (slRNA) of a leukemia cell-specific silencer (LeSSi). Knocking down (KD) of the slRNA significantly decreased leukemia cell viability and migration and increased cellular apoptosis. Furthermore, the direct link and functional similarity between LeSSi and slRNA were established by CRISPR/Cas9 knocking out (KO) of LeSSi. Mechanistically, the slRNA hijacked FOXP1, which functions here both as a known transcription factor (TF), and more importantly, as a novel RNA binding protein (RBP), thereby preventing FOXP1 from binding to the promoter of proto-oncogene MYC and subsequently promoting MYC transcription. Collectively, our work provides insights into the functions of silencers in cancer and identified a slRNA hijacking FOXP1 to enhance MYC expression in leukemia cells.

genomics↗

bioRxiv2026

MR-μScope: a multi-scale and simultaneous MRI-miniaturized microscopy system for elucidating neurovascular coupling

Blood Oxygen Level Dependent functional MRI (BOLD-fMRI) revolutionized non-invasive brain mapping, yet the physiological origins of its signal, linking microscopic neurovascular activity to macroscopic hemodynamics, remain elusive. To bridge this gap, we developed MR-Scope: a simultaneous and multimodal platform that integrates preclinic high-field MRI (9.4T) and miniaturized fluorescence microscopy (Miniscope). Our system contains an MR-compatible Miniscope with electromagnetic shielding, a customized radiofrequency coil with a central optical window, and an adjustable animal cradle, enabling artifact-free acquisition of whole-brain fMRI alongside microscopic vascular dynamics. Phantom validation confirmed negligible cross-modal interference (fMRI SNR [≥] 15 dB; optical SNR [≥] 26 dB). MR-Scope captured stimulus-evoked microvascular dilation and blood flow velocity changes in the somatosensory cortex concurrent with BOLD signals, revealing vessel-size-dependent neurovascular coupling. MR-Scope provides an effective solution for deciphering multi-scale neurovascular interactions and offers unique potential for advancing research into brain function and disease mechanisms involving vascular pathology.

bioengineering↗

bioRxiv2025

Aberrant medial entorhinal cortex dynamics link tau pathology to spatial memory impairment

Tau pathology in the entorhinal cortex (EC) is associated with spatial memory decline in aging and early-stage Alzheimers disease, but its impact on EC computations during learning is not well understood. We performed longitudinal two-photon calcium imaging of layer 2 excitatory neurons in the medial EC (MEC) of PS19 tauopathy mice over 10 days of an operant spatial learning task. Male PS19 mice showed marked learning impairments accompanied by dysregulated MEC activity and unstable spatial coding. Their activity also showed weakened representations in cue-poor relative to cue-rich regions, correlated with attenuated speed modulation. These changes suggest that impaired path integration destabilizes MEC spatial maps, leading to impaired spatial memory. In contrast, female PS19 mice exhibited only mild behavioral and neural deficits despite a comparable tau burden, suggesting sex-specific resilience. Among MEC cell types, pyramidal cells accumulated more phosphorylated tau than stellate cells and displayed the most severe functional disruption, linking cellular tau load to circuit dysfunction. Finally, general linear models of MEC activity reliably predicted learning performance, highlighted particularly strong contributions from non-grid and pyramidal cells, and accurately classified PS19 versus wild-type mice. These findings identify aberrant MEC dynamics as a key circuit mechanism underlying tau-related spatial memory deficits and point to early diagnostic and circuit-targeted therapeutic strategies.

neuroscience↗

bioRxiv2025

Kilohertz-rate two-photon voltage imaging of population dynamics in vivo

Understanding how neural circuits compute requires capturing voltage dynamics across large neuronal populations with millisecond resolution in vivo. However, two-photon voltage imaging remains fundamentally limited by a trade-off among imaging speed, field of view, and excitation efficiency. We introduce HS2PM, a hybrid scanning two-photon microscope that overcomes this bottleneck, enabling kilohertz-rate imaging over a 650 x 524 m2 field of view at single-cell resolution while preserving the photon efficiency of single-point excitation. HS2PM stably records deep-layer membrane potentials from over 160 neurons simultaneously, with minimal photobleaching and phototoxicity. It resolves both spikes and subthreshold voltage dynamics in vivo, revealing how these jointly shape sensory adaptation and population coding. Beyond voltage imaging, HS2PM supports high-speed fluorescence lifetime and vascular flow imaging, establishing a multimodal platform for dissecting fast circuit dynamics with precision previously inaccessible to optical methods.

neuroscience↗

bioRxiv2025

Primordial cardiomyocytes orchestrate myocardial morphogenesis and vascularization but are dispensable for regeneration

The vertebrate heart is composed of heterogeneous cardiomyocyte (CM) populations, however, the roles of distinct CM subpopulations in heart development and repair remain poorly defined. Here, using single-cell RNA sequencing analysis of adult zebrafish heart, we identified a unique CM subpopulation marked by the expression of phlda2, which is associated with anaerobic metabolism and different from mature CMs which are enriched for oxidative phosphorylation genes. We demonstrated that phlda2+ cells constituted a primordial CM compartment localized between compact and trabecular muscles. Genetic ablation of phlda2+ CMs during development severely disrupted heart morphogenesis, leading to defective myocardial trabeculation and compaction, and impaired coronary vascularization. Surprisingly, despite their essential roles in development, the depletion of phlda2+ CMs didnt impair myocardial restoration and revascularization following ventricular resection. We found that this was probably due to the limited regenerative capacity of the primordial CMs themselves, as they failed to regenerate after either surgical amputation or genetic ablation. Our findings identify primordial CMs as an organizer for heart morphogenesis but not essential for regeneration, revealing a fundamental difference between developmental and regenerative programs in the vertebrate heart.

developmental biology↗

bioRxiv2025

Multimodal Data Fusion Reveals Morpho-Genetic Variations in Human Cortical Neurons Associated with Tumor Infiltration

We introduce LetsACT (Light-Electron-Transcriptome synergistic ACTomography), a multimodal integration platform that overcomes the limitations of single-modality data acquisition and analysis of human brain cells while synergistically leveraging the strengths of each modality. Our approach enables the rapid sample preparation, cell injection, imaging, and multimodal integration of large-scale human neuronal datasets at single-cell resolution. By generating initial laser-scanning-microscopy based optical reconstruction of neuron morphologies followed by refining them using electron-microscopy derived morphological priors, we have assembled one of the largest human cortical morphology datasets to date: 8,398 neurons from 58 donors, with high cortical coverage. This platform is then applied to studying morphological impact of tumor infiltration. Pyramidal neurons in glioma-infiltrated tissues display clear volume shrinkage in somas and branches, tapering from the soma to nearby dendritic compartments. By integrating these morphological variations with spatial and bulk transcriptomic profiles, we find that glioblastoma tissues exhibit dysregulation of 15.29% of genes, including overexpression of TERT, whereas infiltrated tissues show 7.74% gene dysregulation, characterized by overexpression of tumor suppressors such as CDKN2A and TP53. Our analysis implies that pyramidal neurons observed in these infiltrated tissues may involve an active defense instead of undergoing passive apoptosis. Our finding also indicates that LetsACT establishes a valuable resource for the large-scale, comprehensive morpho-genetic analysis of human tissues.

neuroscience↗

bioRxiv2025

Benchmarking computational methods for multi-omics biomarker discovery in cancer

Multi-omics profiling characterizes cancer biology and supports biomarker discovery for prognosis and therapy selection. Although numerous computational multi-omics biomarker identification methods have been proposed, their ability to identify clinically relevant biomarkers has not been systematically evaluated, leaving it unclear whether the resulting biomarker nominations are reliable for downstream validation. Here we systematically benchmark 20 representative statistical, machine learning and deep learning methods using curated gold-standard prognostic and therapeutic biomarkers across five real-world datasets. We evaluate performance in terms of both biomarker identification accuracy and stability. Overall, DeePathNet and Deep-KEGG achieve the best performance. Across methods, effective biomarker recovery is associated with the integration of biological knowledge, global feature interactions, multivariate feature attribution, and effective regularization. Analysis of omics type contributions reveals method- and modality-specific biases, highlighting the importance of broader omics integration. We further evaluate methods on simulated datasets to probe sensitivity with controlled signal and noise. By aggregating results from top-performing methods, we construct consensus biomarker panels that nominate candidates for potential investigations. Finally, we provide user-friendly interfaces to allow researchers to benchmark new methods against the 20 baselines or apply selected methods for biomarker identification on custom multi-omics datasets. Our benchmark is publicly available at https://github.com/athanzli/CancerMOBI-Bench.

bioinformatics↗

bioRxiv2025

AI Identifies Broadly Neutralizing Antibodies from an IGHV1-69 Public Antibody Class Exerting Continued Selection Over SARS-CoV-2

R1-32-like public antibodies, characterized by shared IGHV1-69/IGLV1-40 usage, are elicited in more than 50% of individuals with COVID-19 and have been implicated in driving recurrent mutations at L452SARS2 and F490SARS2 within their convergent epitope in the SARS-CoV-2 spike receptor-binding domain. These mutations effectively mediate escape from non-affinity-matured R1-32-like antibodies with germline-like sequences. Here, we characterize four affinity-matured R1-32-like antibodies, C092, C807, BD56-104, and BD56-597, that tolerate L452SARS2 and F490SARS2 mutations. We show that this tolerance arises from residues introduced by somatic hypermutation at convergent positions across multiple CDR loops and surrounding regions, thereby creating additional contacts that reinforce epitope binding. An unusual N354SARS2 glycosylation site, which emerged in BA.2.86 and became fixed in its descendants, is linked to escape from affinity-matured R1-32-like antibodies, implying ongoing selection by this public antibody class. Using an AI model trained on integrated structural, neutralization, and binding data, we further identified ZL525, an ultrapotent R1-32-like antibody with pan-SARS-CoV-2 variant activity, including against the highly evasive KP.3 variant carrying the N354SARS2 glycosylation, and broad sarbecovirus cross-reactivity extending to SARS-CoV-1. Together, these findings show how affinity maturation enables public antibodies to adapt to viral antigenic drift, reveal their role in shaping SARS-CoV-2 antigenic evolution, and demonstrate the potential of AI-empowered strategies for discovering broadly neutralizing antibodies.

immunology↗

bioRxiv2025

GFP Reporter System Reveals Cell-to-Cell Variability in Aquaporin-2 Expression

Vasopressin regulates transcription of the aquaporin-2 gene (Aqp2) in collecting duct principal cells. To investigate regulatory mechanisms in Aqp2 gene transcription, we engineered an Aqp2 reporter cell line using CRISPR/Cas9 to insert a green fluorescent protein (GFP) cassette at the endogenous Aqp2 gene locus in mpkCCD cells. In the absence of dDAVP, a vasopressin analog, these cells exhibited low or undetectable GFP and Aqp2 expression in all cells. dDAVP stimulation (1nM dDAVP for 48hrs) markedly increased both GFP and Aqp2 expression together with reversal upon dDAVP removal. These observations demonstrate that GFP faithfully tracks Aqp2 expression. Interestingly, fewer than 50% of cells express GFP and Aqp2 after dDAVP or forskolin, indicating significant variability even though they were clonally-derived. We flow-sorted the GFP- cells (Aqp2-) and GFP+ cells (Aqp2+), regrew them, and restimulated them separately with dDAVP. Cells originating from GFP- cells gave rise to both GFP- cells and GFP+ cells, and GFP+ cells similarly regenerated both GFP- and GFP+ populations in the same proportion. Flow cytometry analysis of the DNA content showed variability in cell cycle phases, with most GFP+ cells in G0/G1, and more GFP cells in G2/S. RNA-seq analysis of the GFP- and GFP+ cells revealed increased abundance of cell-cycle related transcripts in the GFP- cells. We conclude that: 1) heterogeneity in Aqp2 expression is related to cell cycle state; and 2) the newly generated reporter cell line will likely serve as a useful tool to study Aqp2 transcriptional regulation. NEW & NOTEWORTHYTo investigate regulatory mechanisms in Aqp2 gene transcription, we engineered an Aqp2 reporter cell line using CRISPR/Cas9 to insert a green fluorescent protein (GFP) cassette at the endogenous Aqp2 gene locus in mpkCCD cells. We demonstrate that the GFP reporter accurately and dynamically tracks the expression and regulation of endogenous Aqp2. We reveal that Aqp2 heterogeneity in mpkCCD cells is at least partly driven by differences in cell cycle phase.

systems biology↗

bioRxiv2025

Primate-specific adaptation of Ku protects transcriptomic integrity by suppressing Alu-mediated alternative splicing

Accurate pre-mRNA splicing is essential for the transfer of genetic information but faces unique challenge in higher primates due to the massive expansion of intronic Alu elements1-3. While studying Ku, the Ku70/Ku80 heterodimer best known for initiating non-homologous end-joining (NHEJ) by encircling DNA ends4, we discovered that Ku expression increased markedly during primate evolution in parallel with Alu expansion5. Ku binds double-stranded RNA (dsRNA) stem-loops, including those at the antisense Alu (asAlu) elements within introns5. Here, we show that Ku-depletion in human cells has a broad impact on splicing largely independent of cell-cycle states, NHEJ, or innate immune signaling, significantly affecting ~8-10% of quantifiable alternative splicing events. Mechanistically, Ku directly binds exonic asAlu to prevent their aberrant inclusion and binds asAlu within inverted-repeat Alu (irAlu) pairs flanking canonical exons to prevent exon skipping6. Among human tissues, Ku expression in the brain is consistently ~50% lower, correlating with more permissive expression of Alu-derived splice variants, particularly those encoding mitochondrial proteins and RNA-binding factors. Correspondingly, heterozygous Ku loss in patient causes developmental delay, neurological dysfunction, and acidosis. Together our findings identified Ku as a critical suppressor of Alu-associated alternative splicing co-opted during evolution with implications for primate brain function and human disease.

molecular biology↗

bioRxiv2025

A neuron type-specific microexon in Ank3/ankyrin-G modulates calcium activity and neuronal excitability

Recent studies have revealed many alternative exons differentially spliced across diverse neuron types in the mammalian brain, but their links to neuronal physiology remain unclear. Here we characterize a deeply conserved microexon E35a in Ank3 encoding ankyrin-G (AnkG), a multifaceted adaptor protein best known as a master organizer of the axon initial segment (AIS) and as a leading genetic risk factor for bipolar disorder. E35a is predominantly skipped in cortical glutamatergic neurons but included in cortical GABAergic neurons and cerebellar neurons, which is dictated by multiple neuronal splicing factors. In E35a-deletion mice we generated, interneurons show increased excitability and somatic Ca2+ activity, without disruption in AIS. Biochemical analyses suggest that E35a inclusion facilitates AnkG interaction with a protein complex involving inositol trisphosphate receptors (InsP3Rs) important for intracellular Ca2+ signaling. Alternative splicing therefore allows AnkG to modulate neuron type-specific excitability in addition to its ubiquitous pan-neuronal role in organizing the AIS.

neuroscience↗

bioRxiv2025

Humoral immunity induced by XEC monovalent vaccines against SARS-CoV-2 variants including XEC, LP.8.1, NB.1.8.1, XFG, and BA.3.2

After the emergence of SARS-CoV-2 Omicron variant at the end of 2021, Omicron has highly diverged into various sublineages: e.g., BA.5 in 2022, XBB.1.5 in 2023, JN.1 in 2024. Currently, several JN.1 subvariants including XEC, LP.8.1, NB.1.8.1 and XFG are circulating worldwide. Additionally, recent studies show that BA.3.2, a descendant of Omicron BA.3, exhibits profound immune evasion potential. On December 5, 2025, BA.3.2, was designated a variant under monitoring by the WHO. To prevent COVID-19, several countries including Japan have continuously developed and approved variant-adapted vaccines: e.g., ancestral/BA.5 bivalent vaccine in 20223, XBB.1.5-based monovalent vaccine in 20234, JN.1-based monovalent vaccine in 2024, and LP.8.1-based monovalent vaccine in 2025. Since XEC was more prevalent than LP.8.1 at the beginning of 2025 in Japan, two Japanese pharmaceutical companies, Daiichi Sankyo and Meiji Seika Pharma, have produced XEC-based vaccines. Here, we investigated the antiviral immunity induced by XEC-based monovalent vaccines against recently circulating SARS-CoV-2 variants, as well as BA.3.2, in the Japanese population. To assess the neutralizing antibody response induced by XEC-based vaccines, we obtained sera from individuals who had been vaccinated with the XEC-based mRNA monovalent vaccine produced by Daiichi Sankyo (N=22) or the XEC-based self-amplifying replicon vaccine produced by Meiji Seika Pharma (N=20). We collected sera before and 3-4 weeks after vaccination and then performed a neutralization assay using these sera with lentivirus-based pseudoviruses harboring spike proteins of B.1.1, BA.5, XBB.1.5, JN.1, XEC, LP.8.1, NB.1.8.1, XFG and BA.3.2. The 50% neutralization titers of the sera against all variants tested were significantly increased in after vaccination in both Daiichi Sankyo cohort (2.1-fold to 11.9-fold, P<0.0001) and Meiji Seika Pharma cohort (1.4-fold to 3.9-fold, P<0.0005). Consistent with our recent study using the sera from LP.8.1-based vaccinees, the humoral immunity induced by XEC-based vaccines against JN.1 and its subvariants (XEC, LP.8.1, NB.1.8.1 and XFG) was greater than that against other variants (B.1.1, BA.5, XBB.1.5 and BA.3.2). Notably, our result showed that the XEC-based mRNA vaccine induces a stronger humoral immunity compared to the XEC-based replicon vaccine, and even the LP.8.1-adapted vaccines. However, it should be noted that our cohorts are relatively small and may include confounding factors that affect the results, such as age, sex, history of natural infection and vaccination status. Future investigations with larger cohorts are required to better understand this possibility. To compare the immune status induced by XEC- and LP.8.1-based vaccines, we analyzed the cross-neutralization induced by these vaccines using antigenic cartography. The antigenic map was depicted based on the 50% neutralization titers values obtained from this study and our recent study using LP.8.1-based vaccine sera. The cartography showed that the immune status induced by XEC-based vaccines was similar to that induced by LP.8.1-based vaccines against the nine SARS-CoV-2 variant antigens tested. In sum, our investigations, including the recent one8, suggest that all 4 of the JN.1 subvariants-based vaccines that we tested induce profound humoral immunity against a broad range of SARS-CoV-2 variants.

microbiology↗

bioRxiv2025

AI recognizes convergent somatic hypermutation signatures to allow the discovery of variant-resilient broadly neutralizing antibodies

Elucidating the mechanisms by which broadly neutralizing antibodies (bnAbs) develop to confer durable immunity in humans is pivotal for the rational design of next-generation vaccines and therapeutics. VH3-53/3-66-encoded public antibodies are widely elicited in the population after the COVID-19 pandemic. Here, we isolated 15 VH3-53/3-66-encoded bnAbs from elite neutralizers who experienced sequential SARS-CoV-2 Omicron breakthrough infections. These bnAbs exhibit exceptional potency and breadth against circulating variants and, as members of a long-lived public antibody lineage, likely contribute to durable humoral protection. Genetic analysis of VH3-53/3-66-encoded bnAbs reveals a convergent somatic hypermutation pattern at seven positions in and around the CDR loops that emerges with repeated viral exposures and distinguishes them from non-bnAbs. Grafting these combined mutations onto clinically escaped antibodies broadens their breadth and restores neutralization activity. Structural analysis shows that these convergent mutations cooperatively remodel CDRs to bind and tolerate virus receptor-binding domain mutations. Using an AI-based antibody language model trained on data linking somatic hypermutations to binding affinity and neutralization, the model is able to identify mutational patterns predictive of breadth, enabling the discovery of a rare bnAb with protective activity against the latest variants from early-pandemic antibody repertoires. This demonstrates the feasibility of establishing an AI-empowered pipeline to identify mutation-tolerant bnAbs from early-pandemic antibody repertoires to fight fast-evolving newly introduced viruses.

immunology↗

bioRxiv2025

Structure and evolution-guided design of minimal RNA-guided nucleases

The design of RNA-guided nucleases with properties not limited by evolution can expand programmable genome editing capabilities. However, generating diverse multi-domain proteins with robust enzymatic properties remains challenging. Here we use an artificial intelligence-driven strategy that couples structure-guided inverse protein folding with evolution-informed residue constraints to generate active, divergent variants of TnpB, a minimal CRISPR-Cas12-like nuclease. High-throughput functional screening of AI-generated variants yielded editors that retained or exceeded wild-type activity in bacterial, plant and human cells. Cryo-EM-based structure determination of the most divergent active variant revealed new stabilizing contacts in the RNA/DNA interfaces across conformational states, demonstrating the design potential of this approach. Together these results establish a strategy for creating non-natural RNA-guided nucleases and conformationally active nucleic acid binders, enlarging the designable protein space. One-sentence abstractAn evolution- and structure-conditioned model enables design of active RNA-guided nucleases with new nucleic acid contacts resolved by cryo-EM.

synthetic biology↗