Biology subjects

Li, P.

Publications and source records attributed to Li, P..

At least 145 records · Page 8Linked to original sources

bioRxiv2024

Stacked MXene/PEDOT-PSS Electrode Fiber for High-Performance Recording and Stimulation

The development of microelectrodes with high electrical performance is imperative, particularly for invasive interfaces such as deep brain stimulation (DBS) electrodes. MXene, a new family of 2D early transition metal carbides or nitrides, exhibits outstanding electrical properties and has been researched to improve bioelectronic interface. Through a wet spinning process, we fabricate MXene/PEDOT-PSS electrode fibers measuring 30 m in diameter, exhibiting an electrical conductivity of 2.16 {+/-} 1.46 x 10^5 S/m and notably low interfacial impedance. The excellent cathodic charge storage capacity (CSCc) and charge injection capacity (CIC) lead to their high performance in recording or stimulation. The electrode fibers are electrochemically stable, biocompatible, magnetic resonance imaging (MRI)-compatible, and demonstrate excellent performance in electromyography (EMG), electrocardiograph (ECG), cortical recording and subthalamic nuclei deep brain stimulation (STN-DBS) experiments.

bioengineering↗

bioRxiv2024

Instruction-tuned large language models misalign with natural language comprehension in humans

Transformer-based large language models (LLMs) have significantly advanced our understanding of meaning representation in the human brain. However, increasingly large LLMs have been questioned as valid cognitive models due to their extensive training data and their ability to access context thousands of words long. In this study, we investigated whether instruction tuning, another core technique in recent LLMs beyond mere scaling, can enhance models ability to capture linguistic information in the human brain. We evaluated the self-attention of base and fine-tuned LLMs of different sizes against human eye movement and functional magnetic resonance imaging (fMRI) activity patterns during naturalistic reading. We show that scaling has a greater impact than instruction tuning on model-brain alignment, reinforcing the scaling law in brain encoding performance. These finding have significant implications for understanding the cognitive plausibility of LLMs and their role in studying naturalistic language comprehension.

neuroscience↗

bioRxiv2024

Systemic identification of functionally conserved lncRNA metabolic regulators in human and mouse livers

BACKGROUND & AIMSUnlike protein-coding genes, the majority of human long non-coding RNAs (lncRNAs) lack conservation based on their sequences, posing a challenge for investigating their role in a pathophysiological context for clinical translation. This study explores the hypothesis that non-conserved lncRNAs in human and mouse livers may share similar metabolic functions, giving rise to functionally conserved lncRNA metabolic regulators (fcLMRs). METHODSWe developed a sequence-independent strategy to select putative fcLMRs, and performed extensive analysis to determine the functional similarities of putative human and mouse LMR pairs (h/mLMRs). RESULTSWe found that several pairs of putative fcLMRs share similar functions in regulating gene expression. We further demonstrated that a pair of fcLMRs, h/mLMR1, robustly regulated triglyceride levels by modulating the expression of a similar set of lipogenic genes. Mechanistically, h/mLMR1 binds to PABPC1, a regulator of protein translation, via short motifs on either lncRNA with divergent sequences but similar structures. This interaction inhibits protein translation, activating an amino acid-mTOR-SREBP1 axis to regulate lipogenic gene expression. Intriguingly, PABPC1-binding motifs on each lncRNA fully rescued the functions of their corresponding LMRs in the opposite species. Given the elevated expression of h/mLMR1 in humans and mice with hepatic steatosis, the PABPC1-binding motif on hLMR1 emerges as a potential non-conserved human drug target whose functions can be fully validated in a physiologically relevant setting before clinical studies. CONCLUSIONSOur study supports that fcLMRs represent a novel and prevalent biological phenomenon, and deep phenotyping of genetic mLMR mouse models constitutes a powerful approach to understand the pathophysiological role of lncRNAs in the human liver.

physiology↗

bioRxiv2024

Transocular detection of premotor Parkinson's disease via retinal neurovascular coupling through functional OCT angiography

Early detection of Parkinsons disease (PD) is essential for timely initiating neuroprotective interventions before significant loss of dopaminergic (DAergic) neurons, but faces challenges in accurately and noninvasively detecting subtle neuronal changes in the midbrain. Here, we propose a transocular functional imaging method termed fOCTA-rNVC, which detects premotor PD by measuring alterations in retinal neurovascular coupling (rNVC) at the capillary level using specialized functional OCT angiography (fOCTA). Our findings demonstrate that capillary rNVC is significantly attenuated and delayed due to concurrent retinal dopaminergic degeneration in premotor PD mice. Notably, this PD-related rNVC attenuation can be temporarily reversed in acute levodopa challenge. Utilizing the functional characteristics of capillary rNVC in PD, we achieved an impressive accuracy of [~]100% in detecting premotor PD mice even with only [~]14.1% loss of midbrain DAergic neurons, at which stage prompt treatment offered superior outcomes. In contrast, no significant changes were observed in retinal thickness or vasculature in the premotor PD mice. These findings suggest that fOCTA-rNVC is a promising noninvasive solution for accurately detecting premotor PD and guiding early interventions.

bioengineering↗

bioRxiv2024

PD-1 negatively regulates helper T cell differentiation into Th2

Programmed Cell Death Protein-1 (PD-1) represents endogenous mechanisms of negative immunoregulation. While the modulation of effector functions has been the major focus of PD-1 research, quick PD-1 upregulation in naive T cells starting 1 h after priming raised a possibility that PD-1 also affects the development of effector T cells. The role of PD-1 in functional differentiation into Th1 and Th2 has been unclear. In murine naive CD4+ T cell activation, we found that PD-1 stimulation during the early stage of T cell activation strongly impaired Th2 cell development, while Th1 cell induction was relatively resistant to this immunosuppressive signaling. The steep decline in Th2 cell induction suggested the significance of PD-1 in allergic inflammation. Treatment with anti-human PD-1 agonist antibody inhibited allergic inflammation in human PD-1-knock-in mice as shown by the reduction of Th2 cells, IgE levels and eosinophilic infiltration. This study shows that PD-1 regulates not only the intensity but also the quality of immune response by deviating Th differentiation. PD-1 stimulators are projected to be valuable in suppressing various forms of inflammatory activities, but the efficacy against Th2-dominant immune response may be particularly high.

immunology↗

bioRxiv2024

Successive pattern in winter wheat main stem structure modeling

1.With the rise of research on functional structural plant models (FSPMs), it is particularly important to realistically describe the structural traits of a plant. In 3D FSPMs, the true structural information of the canopy can make the models estimation of functional traits more accurate. Since canopy is the medium of the crop stands that sense and respond to the external environment, accurate estimation of detailed organ sizes in crop canopy is crucial, and current FSPMs still need to be improved. Here the structure of wheat (Triticum aestivum) was measured in detail at the phytomer level. Dataset was built which covers a set of [~]100 cultivars and 11 site-year under various field managements such as sowing density, inter-row, nitrogen fertilizer and sowing date. The relationships of successive phytomer sizes were quantified and the variance was analyzed for each independent experiment, only site was found as a significant impact factor. A conceptual model based on the successive pattern was proposed and validated for detailed final phytomer sizes. Then we coupled the meteorology data - the ratio of average daily gross radiation and temperature during the emergence and architecture mature with the model. The validation has taken place three times to emphasize models independent of cultivars, sites dependent and the ability of model parameters deriving from environmental factors, respectively. The results revealed the feasibility of the newly built wheat main stem structure model with the R2 higher than 0.85. Compared with ADEL-Wheat and Sirius Quality, the model achieved better performance in blade width and blade area estimation. According to the concise and easily acquired parameters of this model, it has potential for high throughput phenotyping detail wheat canopy structure. Previous work on the relationship between blade width and circumference of apex shoot in maize illustrated that the cell number was the most likely explanation for this pattern, which means the same work holds for similar crops.

developmental biology↗

bioRxiv2024

Mapping Individual Differences in the Topological Landscape of Naturalistic Brain Dynamics

Psychiatry seeks to unravel brain dysfunction and individual differences in real-world contexts. Naturalistic stimuli, like movie watching, are increasingly recognized for eliciting complex, context-dependent neural activity with high ecological validity. Yet, current methods often rely on standard paradigms that average data across time, limiting the full potential of such stimuli. Here, we present STIM, a Topological Data Analysis-based framework designed to dynamically track how individuals integrate complex contexts in real time. Applied to large-sample fMRI data from movie watching, STIM constructs a robust low-dimensional dynamical landscape that reflects group consensus while probing individual variations at both global (spanning narratives) and local (within specific narratives) levels. At the global level, individual differences emerge along a center-periphery gradient in the dynamical landscape, which significantly predicts fluid intelligence, underscoring the importance of neural adaptability and diversity. At finer scales, local geometric features correlate with context-specific psychological traits beyond cognition. STIM also captures developmental changes in the dynamical landscape and reveals abnormalities in conditions such as autism. These findings demonstrate that STIM leverages the rich information from movie stimuli and fMRI recordings as neural probes to assess individual differences in cognition and mental health.

neuroscience↗

bioRxiv2024

MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training

Multiple Sequence Alignment (MSA) plays a pivotal role in unveiling the evolutionary trajectories of protein families. The accuracy of protein structure predictions is often compromised for protein sequences that lack sufficient homologous information to construct high-quality MSA. Although various methods have been proposed to generate virtual MSA under these conditions, they fall short in comprehensively capturing the intricate co-evolutionary patterns within MSA or require guidance from external oracle models. Here we introduce MSAGPT, a novel approach to prompt protein structure predictions via MSA generative pre-training in the low-MSA regime. MSAGPT employs a simple yet effective 2D evolutionary positional encoding scheme to model the complex evolutionary patterns. Endowed by this, its flexible 1D MSA decoding framework facilitates zero-or few-shot learning. More-over, we demonstrate that leveraging the feedback from AlphaFold2 can further enhance the models capacity via Rejective Fine-tuning (RFT) and Reinforcement Learning from AF2 Feedback (RLAF). Extensive experiments confirm the efficacy of MSAGPT in generating faithful virtual MSA to enhance the structure prediction accuracy (up to +8.5% TM-Score on few-shot scenarios). The transfer learning capabilities also highlight its great potential for facilitating other protein tasks.

bioinformatics↗

bioRxiv2024

Training Compute-Optimal Protein Language Models

We explore optimally training protein language models, an area of significant interest in biological research where guidance on best practices is limited. Most models are trained with extensive compute resources until performance gains plateau, focusing primarily on increasing model sizes rather than optimizing the efficient compute frontier that balances performance and compute budgets. Our investigation is grounded in a massive dataset consisting of 939 million protein sequences. We trained over 300 models ranging from 3.5 million to 10.7 billion parameters on 5 to 200 billion unique tokens, to investigate the relations between model sizes, training token numbers, and objectives. First, we observed the effect of diminishing returns for the Causal Language Model (CLM) and that of overfitting for the Masked Language Model (MLM) when repeating the commonly used Uniref database. To address this, we included metagenomic protein sequences in the training set to increase the diversity and avoid the plateau or overfitting effects. Second, we obtained the scaling laws of CLM and MLM on Transformer, tailored to the specific characteristics of protein sequence data. Third, we observe a transfer scaling phenomenon from CLM to MLM, further demonstrating the effectiveness of transfer through scaling behaviors based on estimated Effectively Transferred Tokens. Finally, to validate our scaling laws, we compare the large-scale versions of ESM-2 and PROGEN2 on downstream tasks, encompassing evaluations of protein generation as well as structure- and function-related tasks, all within less or equivalent pre-training compute budgets.

bioinformatics↗

bioRxiv2024

CLCC1 Governs Bilayer Equilibration at the Endoplasmic Reticulum to Maintain Cellular and Systemic Lipid Homeostasis

The intricate orchestration of lipid production, storage, and mobilization is vital for cellular and systemic homeostasis1,2. Dysfunctional plasma lipid control represents the major risk factor for cardio-metabolic diseases, the leading cause of human mortality3,4. Within the cellular landscape, the endoplasmic reticulum (ER) is the central hub of lipid synthesis and secretion, particularly in metabolically active hepatocytes in the liver or enterocytes in the gut5,6. Initially assembled in the ER lumen, lipid-ferrying lipoproteins necessitate the cross-membrane transfer of both neutral and phospho-lipids onto the lumenal apolipoprotein B (APOB), in a poorly-defined process7-10. Here we show that trans-bilayer equilibration of phospholipids, regulated by the ER protein CLCC1, determines lipid partition across the ER membrane and consequently systemic lipid homeostasis. CLCC1 partners with the phospholipid scramblase TMEM41B11,12 to recognize imbalanced bilayers and promote lipid scrambling, thereby licensing lipoprotein biogenesis and the subsequent bulk lipid transport. Strikingly, loss of CLCC1 or TMEM41B leads to the emergence of giant lumenal lipid droplets enclosed by extensively imbalanced ER bilayers, and consequently drastically accelerated pathogenesis of metabolic-dysfunction-associated liver steatohepatitis (MASH). The above results establish phospholipid scrambling at the ER as the lynchpin to maintain a dynamic equilibrium. Considering the requirement of trans-bilayer phospholipid equilibration in numerous biological processes, ranging from catabolic autophagy to viral infection13-16, our study may enable further elucidation of a previously under-appreciated homeostatic control mechanism intrinsic to the ER function in lipid biogenesis and distribution.

cell biology↗

bioRxiv2024

Characteristics of JN.1-derived SARS-CoV-2 subvariants SLip, FLiRT, and KP.2 in neutralization escape, infectivity and membrane fusion

SARS-CoV-2 variants derived from the immune evasive JN.1 are on the rise worldwide. Here, we investigated JN.1-derived subvariants SLip, FLiRT, and KP.2 for their ability to be neutralized by antibodies in bivalent-vaccinated human sera, XBB.1.5 monovalent-vaccinated hamster sera, sera from people infected during the BA.2.86/JN.1 wave, and class III monoclonal antibody (Mab) S309. We found that compared to parental JN.1, SLip and KP.2, and especially FLiRT, exhibit increased resistance to COVID-19 bivalent-vaccinated human sera and BA.2.86/JN.1-wave convalescent sera. Interestingly, antibodies in XBB.1.5 monovalent vaccinated hamster sera robustly neutralized FLiRT and KP.2 but had reduced efficiency for SLip. These JN.1 subvariants were resistant to neutralization by Mab S309. In addition, we investigated aspects of spike protein biology including infectivity, cell-cell fusion and processing, and found that these subvariants, especially SLip, had a decreased infectivity and membrane fusion relative to JN.1, correlating with decreased spike processing. Homology modeling revealed that L455S and F456L mutations in SLip reduced local hydrophobicity in the spike and hence its binding to ACE2. In contrast, the additional R346T mutation in FLiRT and KP.2 strengthened conformational support of the receptor-binding motif, thus counteracting the effects of L455S and F456L. These three mutations, alongside D339H, which is present in all JN.1 sublineages, alter the epitopes targeted by therapeutic Mabs, including class I and class III S309, explaining their reduced sensitivity to neutralization by sera and S309. Together, our findings provide insight into neutralization resistance of newly emerged JN.1 subvariants and suggest that future vaccine formulations should consider JN.1 spike as immunogen, although the current XBB.1.5 monovalent vaccine could still offer adequate protection.

microbiology↗

bioRxiv2024

Peroxiredoxin 2 Regulates DAF-16/FOXO Mediated Mitochondrial Remodelling in Response to Exercise that is Disrupted in Ageing

Ageing is associated with mitochondrial dysfunction and increased oxidative stress. Exercise generates endogenous reactive oxygen species (ROS) and promotes rapid mitochondrial remodelling. We investigated the role of Peroxiredoxin 2 (PRDX-2) in mitochondrial adaptations to exercise and ageing using Caenorhabditis elegans as a model system. PRDX-2 was required for the mitochondrial remodelling in response to exercise mediated by DAF-16 nuclear localisation. Employing an acute exercise and recovery cycle, we demonstrated exercise-induced mitochondrial ER contact sites (MERCS) assembly and mitochondrial remodelling dependent on PRDX-2 and DAF-16 signalling. There was increased mitochondrial fragmentation, elevated ROS and an altered redox state of PRDX-2, concomitant with impaired DAF-16 nuclear localisation during ageing. Similarly, the prdx-2 mutant strain exhibited increased mitochondrial fragmentation and a failure to activate DAF-16 required for mitochondrial fusion. Collectively, our data highlight the critical role of PRDX-2 in orchestrating mitochondrial remodelling in response to a physiological stress by regulating DAF-16 nuclear localisation. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=95 SRC="FIGDIR/small/593975v2_ufig1.gif" ALT="Figure 1"> View larger version (30K): org.highwire.dtl.DTLVardef@50b94forg.highwire.dtl.DTLVardef@1b62d31org.highwire.dtl.DTLVardef@1511d0eorg.highwire.dtl.DTLVardef@4a9b6d_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIExercise generates ROS and promotes mitochondrial remodelling dependent on DAF-16. C_LIO_LIExercise induces mitochondrial ER contact site assembly and mitochondrial dynamics. C_LIO_LIAgeing and loss of PRDX-2 results in disrupted mitochondrial fusion. C_LIO_LIThe redox state of PRDX-2 determines appropriate DAF-16 nuclear localisation. C_LI

molecular biology↗

bioRxiv2024

Intradental mechano-nociceptors serve as sentinels that prevent tooth damage

Pain is the anticipated output of the trigeminal sensory neurons that innervate the tooths vital interior1,2; however, the contribution of intradental neurons to healthy tooth sensation has yet to be defined. Here, we employ in vivo Ca2+ imaging to identify and define a population of myelinated high-threshold mechano-nociceptors (intradental HTMRs) that detect superficial structural damage of the tooth, produce pain, and initiate a jaw opening reflex. Intradental HTMRs remain inactive when direct forces are applied to the intact tooth but become responsive to forces when the structural integrity of the tooth is compromised, and the dentin or pulp is exposed. Their terminals collectively innervate the inner dentin through overlapping receptive fields, allowing them to monitor the superficial structures of the tooth. Indeed, intradental HTMRs detect superficial enamel damage and encode its degree, and their responses persist in the absence of either PIEZO2 or Nav1.83,4. As predicted, chemogenetic activation of intradental HTMRs results in a marked pain phenotype like that produced by systemic chemogenetic activation of nociceptors. Remarkably, optogenetic activation of intradental HTMRs triggers a rapid, jaw opening reflex via contraction of the digastric muscle. Taken together, our data indicate that intradental HTMRs serve as sentinels that guard against mechanical threats to the tooth; their activation not only triggers pain, but also results in physical tooth separation, which would prevent damage during mastication. Our work provides a new perspective of intradental neurons, highlighting their protective role, and illustrates the functional diversity of interoreceptors.

neuroscience↗

bioRxiv2024

Systematic Development of Reprogrammed Modular Integrases Enables Precise Genomic Integration of Large DNA Sequences

Despite recent progress in the ability to manipulate the genomes of eukaryotic cells1-3, there is still no effective and practical method to precisely integrate large synthetic DNA constructs into desired chromosomal sites using a programmable integrase. Serine integrases can perform the necessary molecular steps4, but only if their natural target site is first installed into the recipient genome by other methods. A more elegant approach would be to directly reprogram the serine integrase itself to target a desired genomic site that is different from the natural recognition site of the integrase5. Here, we describe the development of a Modular Integrase (MINT) platform, a versatile protein-guided genome editing tool that can facilitate site-directed targeted integration (TI) of synthetic DNA into chromosomal sites. Through a combination of structural modeling, directed evolution, and screening in human cells we have reprogrammed the specificity of the serine integrase Bxb1. We demonstrate the therapeutic potential of the MINT platform by retargeting Bxb1 to the human AAVS1 and TRAC loci where wild-type Bxb1 has no detectable activity. By combining the MINT platform with known activity-increasing Bxb1 mutants, we achieved 14% TI at the AAVS1 locus, and by additionally fusing zinc finger DNA binding domains to engineered Bxb1 variants, we achieved 35% TI at the TRAC locus in human K562 cells. To further demonstrate clinical potential, we achieved stable 15% TI of a functional donor construct in human T cells.

synthetic biology↗

bioRxiv2024

Diffusion barriers imposed by tissue topology shape morphogen gradients

Animals use a small number of morphogens to pattern tissues, but it is unclear how evolution modulates morphogen signaling range to match tissues of varying sizes. Here, we used single molecule imaging in reconstituted morphogen gradients and in tissue explants to determine that Hedgehog diffused extra-cellularly as a monomer, and rapidly transitioned between membrane-confined and -unconfined states. Unexpectedly, the vertebrate-specific protein SCUBE1 expanded Hedgehog gradients by accelerating the transition rates between states without affecting the relative abundance of molecules in each state. This observation could not be explained under existing models of morphogen diffusion. Instead, we developed a topology-limited diffusion model in which cell-cell gaps create diffusion barriers, and morphogens can only overcome the barrier by passing through a membrane-unconfined state. Under this model, SCUBE1 promotes Hedgehog secretion and diffusion by allowing it to transiently overcome diffusion barriers. This multiscale understanding of morphogen gradient formation unified prior models and discovered novel knobs that nature can use to tune morphogen gradient sizes across tissues and organisms.

developmental biology↗

bioRxiv2024

A high-continuity and annotated reference genome of allotetraploid Siberian wildrye (Elymus sibiricus L., Poaceae: Triticeae)

Elymus sibiricus L. (Siberian wildrye, Es), a species belonging to the wheat tribe, is extensively employed as forage and for the reclamation of degraded grasslands within the Qinghai-Tibet Plateau (QTP). This study provides a high-quality reference genome assembly for the allotetraploid Es, which is composed of 14 pseudomolecules with the total genome size of 6.57 Gb. Our finding suggest that large-scale bursts of retrotransposons are critical for the genome expansion of Es. We discovered a translocation event between the Es4H and Es6H chromosomes with a low frequency of combination. Phylogenetic analyses of 90 Es accessions and 25 diploid accessions representing proposed ancestors from various habitats revealed the existence of four distinct populations. We further provided support for the hypothesis that the QTP is the center of origin and genetic diversity for Es. Collectively, our study offers valuable insights into the evolution of Es, as well as providing genomic resources for genetic enhancement in the Elymus genus and wheat tribe.

genomics↗

bioRxiv2024

Beyond enumeration: Phenotype independent "labeling-capture-release" process enabling precise detection of circulating tumour cells and downstream applications

Although strategies for circulating tumor cells (CTCs) enrichment have been proposed, the practical effects of clinical CTCs detection are far from satisfactory. Generally, the methodologies for CTCs detection aim at naturally occurring targets, but misdetection/interferences are prevalent due to the diverse phenotypes and subpopulations of CTCs with high heterogeneity. Herein, a CTCs isolation system based on the "labeling-capture-release" process is demonstrated for precise and high-efficient enrichment of CTCs from clinical blood samples. The mechanism which is based on abnormal glyco-metabolism of tumor cells including CTCs can be utilized for the surface decoration of CTCs with artificial azido groups. With the aid of bio-orthogonal plates designed with DBCO- and disulfide groups and exploiting the anti-fouling effects, the cells labeled with azido groups can be captured via a copper-free click reaction and released in a non-destructive manner during subsequent disulfide reduction. The technique is demonstrated to label multiple different types of tumor cells with the EpCAM+/- phenotypes and adherent/suspended status, and all the epithelial/interstitial/hybrid phenotypes of CTCs can be separated from clinical blood samples from 25 patients with 10 different cancer types. Moreover, our strategy is superior to the clinically approved CTCs detection system from the perspective of broad-spectrum and accurate recognition of heterogeneous CTCs. The capturing efficiency of this isolation system is over 80% and the release efficiency exceeds 90%. Most of the released CTCs survive with maintained glycolytic activity thus boding well for downstream applications such as drug susceptibility tests using viable CTCs.

bioengineering↗

bioRxiv2024

Distinct Patterns of SARS-CoV-2 BA.2.87.1 and JN.1 Variants in Immune Evasion, Antigenicity and Cell-Cell Fusion

The rapid evolution of SARS-CoV-2 variants presents a constant challenge to the global vaccination effort. In this study, we conducted a comprehensive investigation into two newly emerged variants, BA.2.87.1 and JN.1, focusing on their neutralization resistance, infectivity, antigenicity, cell-cell fusion, and spike processing. Neutralizing antibody (nAb) titers were assessed in diverse cohorts, including individuals who received a bivalent mRNA vaccine booster, patients infected during the BA.2.86/JN.1-wave, and hamsters vaccinated with XBB.1.5-monovalent vaccine. We found that BA.2.87.1 shows much less nAb escape from WT-BA.4/5 bivalent mRNA vaccination and JN.1-wave breakthrough infection sera compared to JN.1 and XBB.1.5. Interestingly. BA.2.87.1 is more resistant to neutralization by XBB.15-monovalent-vaccinated hamster sera than BA.2.86/JN.1 and XBB.1.5, but efficiently neutralized by a class III monoclonal antibody S309, which largely fails to neutralize BA.2.86/JN.1. Importantly, BA.2.87.1 exhibits higher levels of infectivity, cell-cell fusion activity, and furin cleavage efficiency than BA.2.86/JN.1. Antigenically, we found that BA.2.87.1 is closer to the ancestral BA.2 compared to other recently emerged Omicron subvariants including BA.2.86/JN.1 and XBB.1.5. Altogether, these results highlight immune escape properties as well as biology of new variants and underscore the importance of continuous surveillance and informed decision-making in the development of effective vaccines.

microbiology↗