Biology subjects

Huang, F.

Publications and source records attributed to Huang, F..

At least 19 recordsLinked to original sources

bioRxiv2026

A Novel PD-L1 Splice Isoform Modulates β Cell Communication in Response to Interferon Signaling

{beta} cell expression of the immune checkpoint ligand PD-L1 (encoded by CD274) limits autoimmune {beta} cell destruction in type 1 diabetes (T1D). {beta} cell display PD-L1 not only at the cell surface but also secreted on extracellular vesicles (EVs), which bind PD-1 and restrain CD8+ T cell activation. {beta} cell IFN signaling is an early driver of T1D pathogenesis, yet the mechanisms linking IFN signaling to the fate of PD-L1 protein remain undefined. Here, we identify an IFN- and coxsackievirus-inducible alternatively spliced isoform of PD-L1, PD-L1{Delta}3, lacking cassette exon 3 and generated in human {beta} cells and islets in response to IFN signaling or viral infection. PD-L1{Delta}3 transcripts are elevated in islets from donors with single autoantibody positivity (AAB+) and T1D. Unlike full-length PD-L1, which localizes to the plasma membrane, PD-L1{Delta}3 is retained intracellularly and loses the capacity to bind PD-1. Functionally, PD-L1{Delta}3 fails to suppress CD8+ and CD4+ T cell proliferation, activation, and cytotoxic cytokine release, and is not efficiently sorted into EVs. Convergently, a germline CD274 splice-site variant (c.682+1G>A) found in siblings with neonatal T1D yields a protein with the same intracellular retention, reduced {beta} cell PD-1 binding, and reduced {beta} cell and circulating EV PD-L1. Together these findings define PD-L1{Delta}3 as an IFN-induced splice variant that diverts PD-L1 away from its immunoregulatory, EV-competent form, revealing a post-transcriptional axis that shapes {beta} cell immune communication.

cell biology↗

bioRxiv2026

Highly inducible transcription is impaired in cells lacking Cyclin T1 (CycT1) of the positive transcription factor b (P-TEFb).

In eukaryotic cells, the positive transcription elongation factor b (P-TEFb) plays a critical role in the transition of RNAPII from the paused state to actively transcribing mode. Although three different cyclin (Cyc) T (CycT1, T2a, and T2b) interact with CDK9 to form functional P-TEFb, a majority of P-TEFb complexes are comprised of the CycT1 and CDK9. To analyze the role of the CycT1 subunit of P-TEFb on cellular transcription, we established HEK293T cells lacking CycT1 proteins (CycT1-KO cells). While no apparent growth defects were observed with CYcT1-KO cells, the level of CDK9 was decreased and no compensatory over-expression of CycT2 was observed, suggesting that the reduced level of functional P-TEFb complexes is sufficient for the normal cell growth. Reporter gene assays indicate that NF-kappaB-dependent transcription induced by PMA was impaired in CycT1-KO cells although the function of NF-kappaB (P65) per se was not affected. On the other hand, AP1-dependent transactivation induced by PMA was unaffected in CycT1-KO cells. Moreover, transcription stimulated by JQ1, a strong P-TEFb inducer, was reduced in CycT1-KO cells. Data of biochemical analysis indicate that P-TEFb with CycT1 (P-TEFb (CDK9:CycT1)) was efficiently released from 7SKsnRNP by JQ1 while P-TEFb (CDK9:CycT2) was not affected by JQ1. Transcriptome analysis indicated that the lack of CycT1 had a minor effect on the steady-state transcription. However, expression of JQ1-dependent genes was severely reduced in CycT1-KO cells. Interestingly, referring to gene expression profiles of 33 different types of cancer revealed that 11 out of 13 top JQ1-dependent genes were also highly upregulated in Pancreatic Adenocarcinoma. From these results, we conclude that although many genes can be regulated by both P-TEFb (CDK9:CycT1) and P-TEFb (CDK9:CycT2), CycT1 plays a critical role in regulating highly inducible genes, which are also aberrantly regulated in a particular type of cancer.

molecular biology↗

bioRxiv2026

Constitutively-active Positive Transcription Factor b (P-TEFb) prevents viral latency.

While many cellular and viral mechanisms are associated with proviral latency, the positive transcription factor b (P-TEFb), a cellular co-factor of the nuclear factor kappa B and viral transactiator proteins, plays a critical role in low viral transcription levels in resting infected cells. P-TEFb, comprised of CDK9 and Cyclin T1 (CycT1), is absent in quiescent CD4+T cells that represent the bulk of the viral latent reservoir. In these cells, the CycT1 subunit is dephosphorylated and dissociated from CDK9, leading to its rapid proteasomal degradation. Based on the knowledge of CycT1 phosphorylation and proteolysis, we designed a mutant CycT1 protein [constitutively active (CA)-CycT1] that is resistant to protein degradation and is stably expressed in resting CD4+ T cells. Interestingly, the expression of CA-CycT1 significantly delayed the establishment of viral latency in CD4+ T cells. This is the first example of expressing a high level of CycT1 proteins in resting CD4+ T cells, which modulates viral latency and T cell functions. This finding presents a significant therapeutic potential for the development of effective therapies for latent viral infections.

microbiology↗

bioRxiv2026

TBpop: an open-access genomic portal integrating genomic variation, population genetic statistics, phylogeny, pangenome composition, and strain metadata of epidemic Mycobacterium tuberculosis strains from China

Tuberculosis remains a major global public health threat. While whole-genome sequencing has transformed our understanding of the causative agent, Mycobacterium tuberculosis (MTB), existing genomic databases are highly fragmented and often underrepresent structural variations (SVs). Furthermore, critical population-genetic statistics are rarely integrated with phylogenetic and geographic context, forcing researchers to reconcile separate datasets manually. To address this gap, we developed TBpop (https://tbpop.chinacdc.cn), an open-access, integrated population genomics portal. TBpop is built from 420 clinical MTB isolates selected from the first national drug resistance baseline survey in China. The portal integrates isolate metadata, pangenome categories, SNPs, SVs, IS6110 insertion sites, strain phylogeny, and gene-level statistics, and provides three interactive explorer modules: the Population Explorer, the Statistics Explorer, and the Variation Explorer. Additionally, a User Analysis module allows researchers to run population genetic workflows on their own alignments. TBpop provides an integrated platform for exploring genome plasticity, signatures of positive selection, and conservation patterns of functionally important genes in MTB.

bioinformatics↗

bioRxiv2026

Integrated Patient-Derived Xenograft and Patient-Derived Cell Models Reveal Therapeutic Vulnerabilities Beyond Standard-of-Care Therapy in Endometrial Cancer

Endometrial cancer (EC), the most common gynecologic malignancy in the USA, has seen limited improvement in patient outcomes over recent decades, underscoring the need for relevant preclinical models. To address EC heterogeneity, we established an integrated platform of patient-derived xenografts (PDXs) and matched patient-derived primary cancer cells (PDCs) for disease modeling and systematic drug sensitivity testing. Fresh tumor specimens (n=103) were collected from EC patients to generate PDXs in immunodeficient mice and corresponding PDCs. Fifty-three PDX models were successfully established (52% engraftment rate), with higher success observed in high-grade, recurrent, metastatic tumors (70%), compared with their low-grade counterparts (56%). Histopathologic and immunohistochemical analyses confirmed that PDX tumors faithfully preserved morphology, hormone receptor status, and intertumoral heterogeneity across multiple passages. Using 13 PDC models, we performed an unbiased screening of 179 FDA-approved oncology drugs, revealing marked intertumoral variability in drug response. Almost all PDC models exhibited limited sensitivity to NCCN-recommended therapies, highlighting the need for alternative treatment strategies. In contrast, multiple FDA-approved agents including epigenetic modulators, dual PI3-kinase/HDAC inhibitors, topoisomerase II inhibitors, and proteasome inhibitors demonstrated potent antitumor activity. Importantly, a low-dose combination of the DNA methyltransferase inhibitor 5-azacytidine and the histone deacetylase inhibitor romidepsin significantly suppressed tumor growth across six independent PDX models. Together, these findings establish a comprehensive PDX and PDC platform as a robust translational resource. By capturing the histopathologic and molecular diversity of EC and identifying clinically actionable therapeutic advantages, including an epigenetic combination regimen, this study offers a translational resource for preclinical drug evaluation.

cancer biology↗

bioRxiv2026

Benchmarking of local ancestry inference with different assays and parameters

Local ancestry inference (LAI) enables high-resolution characterization of chromosomal segments inherited from distinct ancestral populations, offering unique insights into genetic architecture in admixed cohorts. While LAI is commonly performed with high-coverage whole-genome sequencing (WGS), the ability of other genotyping assays or varying sequencing depths has not been thoroughly benchmarked. In this study, we systematically evaluated the accuracy of LAI across SNP microarrays, whole-exome sequencing (WES), and ultra low-pass WGS (ULP-WGS) using diverse validation samples and state-of-the-art imputation pipelines. We show that ULP-WGS, when paired with GLIMPSE2, achieves robust accuracy at 0.25x coverage with a minimum genome window size of 0.5 centimorgans, with mean accuracy minus one standard deviation exceeding 95%. For WES, using "on-target" reads alone yields suboptimal performance, particularly for European and South Asian ancestries with accuracy less than 79.1% and 70.6%, respectively. However, incorporating "off-target" reads in WES and utilizing GLIMPSE2 substantially improved accuracy [≥]95% with a minimum window size of 0.2 centimorgans. We further evaluated formalin-fixed, paraffin-embedded (FFPE) samples and found that LAI could be performed successfully using WES data with accuracies of [≥]95% at a minimum window size of 0.5 centimorgans. In contrast, SNP microarrays did not achieve substantial accuracies at any window size ([≤]95%). Together, these results demonstrate that LAI is achievable without conventional high-coverage WGS and establish optimal parameters for LAI across platforms.

genomics↗

bioRxiv2026

Nucleosome remodeling by a CHD enzyme promotes H3K9 methylation establishment and spreading via remodeler-writer feedback

In Schizosaccharomyces pombe, the conserved CHD remodeler Mit1 function within the SHREC remodeler-deacetylase complex (a homolog of the metazoan Mi-2/NuRD complex), which is essential for H3K9 methylation-dependent heterochromatin establishment. However, the mechanism by which remodeler activity promotes silencing is unknown. Current models posit a hierarchical relationship between histone modifications and remodeler activity, with Mit1 acting exclusively downstream of H3K9 methylation. Here, we challenge this model by showing that tethering Mit1 at an ectopic site within euchromatin is sufficient to initiate heterochromatin assembly and generate extended domains of de novo H3K9 methylation. This process requires the Mit1 catalytic activity but does not involve direct physical interaction with Clr4, suggesting Mit1-mediated nucleosome remodeling creates a chromatin context that enhances Clr4 function. Using a genome-wide deletion screen, we determined that Mit1-initiated silencing requires all core heterochromatin factors and is critically dependent on Clr4 dosage. Furthermore, Mit1 activity facilitates heterochromatin spreading at subtelomeric regions and promotes H3K9 methylation at novel genomic sites implicated in cellular adaptation. Together, our findings support a model in which remodeler-writer pairs, analogous to reader-writer pairs, constitute conserved regulatory modules through which nucleosome organization directs the establishment of heritable epigenetic states.

genetics↗

bioRxiv2026

A Pan-Cancer Ex Vivo Drug Screen Atlas for Functional Precision Oncology

Compared to immortalized cell lines, patient-derived organoids and other ex vivo models have been shown to better recapitulate patient responses to therapy. High cost and technical complexity have prevented the creation of pan-cancer ex vivo datasets, limiting comprehensive analyses and predictive modeling for ex vivo drug response. We present the Pan-PreClinical (PPC) project: a drug screen atlas of 2.1M experiments across 1,982 ex vivo samples and 3,100 drugs spanning 134 cancer indications tested across 26 studies. We develop a contrastive Bayesian model to harmonize across studies, identifying 303 tissue-specific drug sensitivities and demonstrating drug sensitivities are predictive of clinically-relevant molecular profiles. Integrating established cell line databases reveals systematic biases across 55 cancer subtypes, with cell line screens favoring drugs targeting highly proliferative cells and undervaluing cell-cell communication targets. We leverage PPC to establish an ex vivo foundation model and computational platform for scalable ex vivo cancer biology and predictive oncology.

cancer biology↗

bioRxiv2025

Inhibition of CGRP receptor ameliorates AD pathology by reprogramming lipid metabolism through HDAC11/LXRβ/ABCA1 signaling

The Calcitonin gene-related peptide (CGRP) receptor has gained attention in Alzheimers Disease (AD) research due to its involvement in regulating neuroinflammation. However, its role and mechanism in AD pathology remain unclear. Here, we demonstrate that CALCRL, a core component of the CGRP receptor, is upregulated in the hippocampus of AD dementia patients and 5xFAD mice. Knockout of the CGRP receptor ligand Calca or pharmacological blockade using Rimegepant (Rim), reduces soluble A{beta}1-42 oligomer-induced neuronal death and glial inflammation. Rim treatment also rescues neurobehavioral impairments, neurodegeneration, and lipid metabolism dysfunction in 5xFAD mice. Mechanistically, these effects are mediated through HDAC11 inhibition, which enhances LXR{beta} acetylation and ABCA1 expression, promoting the reprogramming of neuronal lipid metabolism. Importantly, this CALCRL/HDAC11/LXR{beta}/ABCA1 axis is conserved across both humans and mice. Our findings uncover a novel mechanism underlying AD pathogenesis and highlight the therapeutic potential of targeting CGRP signaling in AD. HIGHLIGHTSInhibition of CGRP receptor ameliorates disease pathology in models of AD HDAC11 mediates CGRP receptor function in AD HDAC11 is a pivotal regulator in lipid metabolism by LXR{beta}/ABCA1 signaling The HDAC11/LXR{beta}/ABCA1 axis is conserved in AD humans and mice

neuroscience↗

bioRxiv2025

Polyketide Synthase-Like Functionality Acquired by Plant Fatty Acid Elongase

Fatty acid elongation (FAE) typically proceeds through a four-step cycle of condensation, reduction, dehydration, and reduction to yield very long-chain fatty acids. Here, we describe a variation of this pathway in Orychophragmus limprichtianus, whose seed oil was found to contains previously unknown C24-C28 keto-hydroxy fatty acids that account for [~]25% of total fatty acids. Our studies revealed that these compounds are produced through an endoplasmic reticulum-localized discontinuous elongation process in which a 3-keto hydroxy intermediate bypasses full reduction and is extended through a polyketide synthase-like mechanism. Transcriptomic and functional assays identified two divergent enzymes, OlFAE1-2 and the low-activity ketoreductase OlKCR1-1, as central to this process. Protein modeling and mutant analysis suggest that specific amino acid substitutions underlie the altered activity of OlKCR1-1, enabling accumulation of keto intermediates. A portion of these unusual fatty acids accumulated in estolides, complex triacylglycerols that expand the chemical repertoire of seed oils. Together, our findings reveal unexpected flexibility in plant fatty acid elongation and provide new tools for engineering plants and microbes to produce renewable oils with tailored industrial functions.

plant biology↗

bioRxiv2025

Excitatory cholecystokinin neurons in CA3 area regulate the navigation learning and neuroplasticity

Hippocampus, a key hub of neural circuits for spatial learning and memory, has attracted tremendous studies. Neuronal information processing in the hippocampus can be regulated by many types of neuropeptides. Cholecystokinin (CCK), the most abundant neuropeptide in the central nervous system which is involved in modulating neuronal functions, such as cognition, memory and neuroplasticity, is widely expressed in the hippocampus. However, whether local excitatory CCK neurons modulates hippocampal function is still unclear. In this study, we showed that CA1 pyramidal neurons receive projections from excitatory CCK neurons in area CA3 (CA3CCK neurons). Subsequently, activation of the CA1-projecting CA3CCK neurons triggers the release of CCK. Then, we found that activity of CA3CCK-CA1 neurons supports the hippocampal-dependent tasks. Furthermore, inhibition of CA3CCK-CA1 projections or knockdown of CA3CCK gene expression markedly impaired the behavioral tasks and neuroplasticity. Taken together, these results may add to a better understanding of how neuromodulators regulate the neural functions in central nervous system.

neuroscience↗

bioRxiv2025

Pretraining Improves Prediction of Genomic Datasets Across Species

Recent studies suggest that deep neural network models trained on thousands of human genomic datasets can accurately predict genomic features, including gene expression and chromatin accessibility. However, training these models is computation- and time-intensive, and datasets of comparable size do not exist for most other organisms. Here, we identify modifications to an existing state-of-the-art model that improve model accuracy while reducing training time and computational cost. Using this stream-lined model architecture, we investigate the ability of models pretrained on human genomic datasets to transfer performance to a variety of different tasks. Models pretrained on human data but fine-tuned on genomic datasets from diverse tissues and species achieved significantly higher prediction accuracy while significantly reducing training time compared to models trained from scratch, with Pearson correlation coefficients between experimental results and predictions as high as 0.8. Further, we found that including excessive training tasks decreased model performance and that this compromised performance could be partially but not completely rescued by fine-tuning. Thus, simplifying model architecture, applying pretrained models, and carefully considering the number of training tasks may be effective and economical techniques for building new models across data types, tissues, and species.

genomics↗

bioRxiv2025

Spatial Transcriptomics Reveal Developmental Dynamics of the Human Cerebral Cortex and Striatum

The human fetal brain undergoes morphological changes that contribute to the development of regional functionalities. However, the features of structural development, the underlying molecular and cellular signatures in the fetal brain remain unclear. With spatial transcriptomics and snRNA-seq, we identified 25 forebrain regions and characterized the dynamic changes in the cortex and striatum during the late first and early second trimesters. In particular, we discovered that temporal lobe enriched NPY-expressing L2/3 EX neuron potentially interacted with L4 EX neurons during cortical expansion and arealization. Additionally, the gyrus and sulcus were developmental asynchronous, in which HOPX and SPARC genes were potentially involved. Further investigation on the striatum showed specific genes and cell types that enriched in patch and matrix compartments, and SST-positive interneurons potentially involved in the development of these structures. Together, our results give insights into the understanding of early fetal brain development.

bioinformatics↗

bioRxiv2025

Systematic Characterization of Optical Aberrations Reveals Cryo-FLM Localization Fidelity

Cryo-correlative light and electron microscopy (cryo-CLEM) facilitates in situ imaging and structural analysis by combining the molecular specificity of fluorescence microscopy with the ultrastructural resolution of cryo-electron microscopy. By further combining single molecule localization with cryo-CLEM, molecular positions of individual emitters can be revealed in the context of the electron density map of a cell, providing unique insights to profound questions in cell biology and virology. However, cryogenic fluorescence light microscopy (cryo-FLM) suffers from severe and spatially heterogeneous optical aberrations that distort the point spread function, limiting the accuracy of molecular localizations as well as downstream cryo-transmission electron microscopy workflows. Here, we present a systematic and quantitative analysis of optical aberrations in a commercial cryo-FLM system, uncovering the sources of significant distortions such as system imperfections, refractive index mismatches, and sample-induced heterogeneities. These system and sample induced aberrations lead to localization errors up to 90 nm laterally and over 300 nm axially, challenging the feasibility of precise molecular positioning within the vitrified specimen. We demonstrate that these errors are partially mitigated by spatially matched or adaptive point spread function models pushing the error rate down to ten nanometers or less, offering practical guidance for aberration-aware cryo-FLM and cryo-CLEM strategies. Our findings highlight the necessity of accurate, in situ point spread function modeling to achieve nanometer-scale localization in cryo-FLM. The experimental pipeline developed in this work establishes a novel tool to assess optical performance in cryo-CLEM and cryogenic focused ion beam milling workflows as the field strives toward accurate and precise molecular localization.

bioinformatics↗

bioRxiv2025

Lipid Metabolism and Contact Site Homologs Are Enriched at the Chloroplast Envelope-Thylakoid Interface

Biogenesis and maintenance of the photosynthetic thylakoid membrane requires transport of lipids from their site of synthesis in the chloroplast envelopes to their destination in the thylakoid. While vesicle trafficking is likely involved, we hypothesized a complementary mechanism involving direct membrane interactions. Using domain homology and proteomic profiling of chloroplast membrane fractions, we identified candidate lipid transport proteins enriched in a distinct, intermediate-density membrane population. This fraction was enriched in lipid metabolic enzymes and proteins homologous to known membrane organization factors. Several candidates, including TVP38 FAMILY PROTEIN (TVPFP), PLASMA MEMBRANE FUSION PROTEIN (PMFP), and LETM1-LIKE, localized to discrete subdomains within chloroplasts. Loss- of-function tvpfp or pmfp mutants exhibited altered chloroplast ultrastructure, including changes in thylakoid-envelope proximity, supporting their roles in maintaining membrane architecture. These findings identify a specialized chloroplast membrane region enriched in lipid-related functions and offer a foundation for elucidating the molecular architecture of these regions.

biochemistry↗

bioRxiv2025

Peptides alleviate cognitive impairment by inhibiting and disassembling amyloid-beta aggregates in Alzheimer disease

Alzheimers disease (AD) is a devasting neurodegenerative disorder characterized by {beta}-amyloid formation, further exacerbated by RIPK1/RIPK3 necrosome-induced programmed necrosis (necroptosis). We previously showed that the RIPK1/RIPK3 necrosome forms a functional amyloid complex using its RIP homotypic interaction motifs (RHIMs). Here, we discovered that the core RIPK1/RIPK3 necrosome shares strikingly structural similarity to the C-terminal region of {beta}-amyloid (A{beta}42), and the RHIM-derived tetrapeptides (IQIG or VQVG) directly inhibit A{beta} aggregation, disassemble preformed A{beta} fibrils (PFFs), and reduce RIPK1 polymerization. Also, the peptides exhibit effective membrane permeability and could reduce A{beta}40 or A{beta}42-induced neural death and TNF-induced necroptosis in SH-SY5Y cells. IQIG and VQVG injected by ICV increase learning and memory abilities by reducing A{beta} plaques and hyperphosphorylated tau in the cortex and hippocampus of APP/PS1 double-transgenic mice. Mechanistically, the peptides directly interact with A{beta} to block A{beta} aggregation and alleviate microglia-mediated neuroinflammation. Strikingly, single-cell RNA sequencing revealed that the peptides-treated AD transgenic mice restored neuronal homeostasis with increased GABAergic neurons and decreased glutamatergic neurons. Furthermore, total cell-cell interaction strength increased while the AD risk gene Apoe expression decreased in the specific oligodendrocyte subtype of peptides-treated AD mice. Thus, our findings revealed that the peptides could improve cognition and memory capabilities and serve as promising structural templates for potential drugs against AD.

neuroscience↗

bioRxiv2025

Disulfide cross-linked redox-sensitive peptide condensates are efficient cell delivery vehicles of molecular cargo.

Biomolecular condensates (BCs) are phase-separated viscoelastic hubs within demixed solutions enriched in proteins and nucleic acids. Such condensates, also called membraneless organelles, are increasingly observed in cells and serve as transient hubs for spatial organization and compartmentalization of biomolecules. Along with the transiency of formation and dissolution, their ability to sequester molecules has inspired us to develop BCs as potential vehicles to transport and deliver molecular cargo. We recently reported the design of disulfide bond cross-linked phase-separating peptide (PSP) condensates that spontaneously dissolve in reducing conditions (JACS, 2024, 146, 255299). Based on the premise that the highly reducing cytoplasm could dissolve PSP condensates and release partitioned cargo, here, we demonstrate the ability of PSP condensates to deliver molecular cargo to the cytoplasm of HeLa cells efficiently. We show that PSP condensates deliver a variety of cargos that differ in their sizes and chemistries, including small molecules, peptides, GFP protein (31 kDa), DNA (1.7 kbp), and mRNA. The transfection efficiencies of PSP condensates for delivering DNA and mRNA were also significantly greater than those of a commercial transfection agent. With room to tailor the condensate properties based on cargo and cell types, these results showcase the potential of disulfide-cross-linked PSPs as effective and customizable cellular delivery vehicles, filling a critical demand gap for such delivery systems.

biophysics↗

bioRxiv2025

Beyond Natural Antibodies: Scaffold-Based Generation of Novel Anti-3CLpro Nanobody Nb01

In the post-pandemic era, continuous mutations and persistent infections of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) pose a significant threat to global health, making the normalization of preventive measures imperative. Due to its high conservation, the 3CLpro is relatively stable across all these variants without significant changes, suggesting that drugs targeting this enzyme could be effective against all variant viruses. And compared to traditional antibodies, nanobodies show significant advantages against SARS-CoV-2 and its variants. Traditional antibodies often lose their inhibitory activity due to viral mutation. Nanobodies are characterised by their small size, high stability, high affinity for antigen binding, and high water solubility, which enable them to capture viruses quickly and effectively address the continuous mutations and persistent infections of SARS-CoV-2. In this research, we devised a strategy to produce nanobodies by utilizing a fragment-generating large language model, resulting in the identification of a nanobody named Nb01. Nb01 exhibits potent and broad-spectrum neutralizing activity against numerous SARS-CoV-2 variants. The nanobody Nb01, directed against the SARS-CoV-2 3CLpro, demonstrated efficacy against the majority of prevalent SARS-CoV-2 variants. Notably, it has a higher affinity than the current best performing nanobodies (S43, bn03, R14, and 3-2A2-4) for most of the variants, including the Alpha (27.5%), Gamma (29.7%), Omicron BA.2 (32.2%), BA.4/5 (81.2%), BF.7 (64.2%) and XBB (5.5%) variants. For other variants, Nb01 displayed affinities that were on par with these benchmark nanobodies. In summary, the exceptional specificity, low toxicity, robust stability, and extensive spectrum of Nb01 indicate its potential to be developed as a nanobody therapeutic for the management of SARS-CoV-2 infections and its diverse variants.

bioinformatics↗