Biology subjects

Li, H.

Publications and source records attributed to Li, H..

At least 271 records · Page 15Linked to original sources

bioRxiv2025

Inhibitory potential of autologous neutralizing antibodies sets quantitative limits on the rebound-competent HIV-1 reservoir

HIV-1 cure requires preventing viral rebound after treatment interruption, but quantitative criteria defining the rebound-competent reservoir are lacking. We studied individuals undergoing observational treatment interruption without confounding interventions to identify virologic and immunologic determinants of rebound. In 9 of 13 participants, rebound viruses were genetically identical or similar to proviruses in circulating resting CD4+ T-cells. We found no evidence of recombination among rebound sequences. Instead, resistance to autologous neutralizing antibodies (aNAbs) was a critical determinant of viral rebound. Increased suppression of viral outgrowth by contemporaneous IgG isolated from plasma was correlated with longer time to rebound. Using inhibitory potential (IP), the log reduction in single-round infection at physiologic IgG concentrations, we defined quantitative limits governing rebound-competency with respect to contemporaneous aNAbs. Contemporaneous IgG antibodies inhibited different reservoir variants with a wide range of IP values (0.4-8.2 logs), whereas rebound viruses were minimally inhibited (0.5-2.8 logs), indicating that inhibition by even up to 2.8 logs (631-fold) cannot prevent rebound. Longitudinal analyses revealed that waning aNAb potency over time on ART allows previously neutralized variants to gain rebound potential, consistent with the finding that rebound can come from variants deposited in the reservoir at different pre-ART time points. Thus, rebound competency is a dynamic, immune-governed property defined by quantitative immunologic constraints, including those exerted by aNAbs. SIGNIFICANCE STATEMENTPreventing viral rebound after treatment interruption is the goal of HIV-1 cure research, but the latent proviruses responsible remain undefined. Although rebound is initiated in lymphoid tissues, we found rebound viruses are genetically similar to proviruses in circulating resting CD4+ T-cells. Rebound is not explained by recombination and is not solely from proviruses seeded at treatment initiation. Instead, rebound potential is governed by autologous neutralizing antibodies (aNAbs). We define a quantitative threshold of aNAb-mediated inhibition identifying reservoir variants with rebound potential. During treatment, waning aNAb levels allow previously neutralized variants to become rebound-competent. Thus rebound-competency is not a static property, but a dynamic immune-governed feature. Durable aNAb responses against all rebound-competent reservoir variants may be required for functional HIV-1 cure.

immunology↗

bioRxiv2025

PPARgene 2.0: leveraging large language models and multi-omics data for enhanced identification and prediction of PPAR target genes

Peroxisome proliferator-activated receptors (PPARs) are ligand-activated transcription factors of the nuclear receptor superfamily. Upon ligand binding, PPARs activate target gene transcription and regulate a variety of important physiological processes such as lipid metabolism, inflammation, wound healing and immune responses. PPARgene is a database that integrates literature-curated and computationally predicted PPAR target genes. It provides gene-level annotations including tissue specificity, species, and supporting PubMed IDs. Computational predictions are generated using a machine learning method that combines PPRE motif analysis with microarray expression data. Here, we introduce PPARgene 2.0, a 10-year update to the original PPARgene database. This update adds 35 newly reported PPAR target genes, 20 PPAR{beta}/{delta} target genes, and 72 PPAR{gamma} target genes, bringing the total number of curated target genes in the database to 337. To retrieve newly reported PPAR target genes from the literature, we used two language models to screen publications after 2016. Candidate papers were then manually reviewed, and verified target genes were added to the updated database. This update also improved the predictive method by expanding the volume of high-throughput gene expression data and incorporating PPAR-related ChIP-seq datasets alongside in silico PPRE analysis. Fivefold cross-validation demonstrated that the new predictive method outperforms the original one. The updated prediction tool is available as part of the PPARgene 2.0 platform. The database is openly accessible at https://www.ppargene.org.

bioinformatics↗

bioRxiv2025

The Human Hippocampus Is Involved in Auditory Short-Term Memory Trace Formation

The human hippocampus has been claimed to play an important role in long-term memory, or episodic memory, but its contribution to short-term memory remains debated. Here, we demonstrate human hippocampal involvement in auditory short-term memory (ASTM) trace formation. We used a classic oddball paradigm and intracranial recordings across various human brain areas. High frequency activities evoked by deviant stimuli in subjects indicate the generation of ASTM trace. Analysis of auditory response latencies across the hippocampus, insula, and temporal, parietal, and frontal lobes revealed the early processing of ASTM trace at a pre-attention stage. Granger causality analysis further showed that ASTM trace processing engages hierarchical cortical areas and clarified their interactions. Bottom-up signals flow from the insula and auditory temporal regions to the frontal lobe early on, followed by top-down information from the frontal lobe to the hippocampus, inferior temporal lobe, and insula at a later pre-attentive stage. Critically, Bayesian model selection of dynamic causal modeling revealed that deviant stimuli selectively enhanced the effectiveness of top-down connections to the hippocampus, thereby facilitating ASTM trace formation. These results provide compelling evidence that the human hippocampus contributes to auditory short-term memory at a pre-attention stage and suggests a challenge to entrenched beliefs in the classification of memory systems.

neuroscience↗

bioRxiv2025

Reprogramming the Rossmann Fold Signature Motif Creates Orthogonal Redox Biocatalysts

Biological reducing power is carried by nicotinamide adenine dinucleotide (phosphate) (NAD(P)/H), which supports cellular functions and cannot be specifically directed to engineered metabolic pathways. Nicotinamide mononucleotide (NMN(H)) has emerged as an orthogonal redox cofactor to address this challenge, yet strategies remain elusive for creating NMN(H)-specific enzymes that no longer interact with the cellular NAD(P)/H pools. Previous designs avoided perturbing the most ancient and conserved GxGxxG motif in Rossmann fold enzymes, the root cause of persistent NAD(P)/H recognition. Herein, we demonstrated that this motif, though long considered essential, is in fact mutable to yield active NMN+-specific enzymes. This is implemented on two unrelated model enzymes chosen to garner orthogonal reducing power from either the cheap electron source phosphite or glycolysis. On phosphite dehydrogenase (PTDH), variants NRC-01 and NRC-02 eliminated electron leaking to numerous NAD(P)H-dependent side reactions in whole cells and crude cell lysates while driving NMNH-dependent biotransformation with [~]240-fold higher productivity than existing catalysts. On glyceraldehyde-3-phosphate dehydrogenase (GapA), variant RSQ featured a [~]2.9x104-fold cofactor specificity switch to NMN+ from NAD+. Combined Rosetta modeling, systematic structural alignment, and experimental results revealed that Rossmann fold reprogramming, paired with engineered structural reinforcement, may offer a general route to orthogonal redox biocatalysts.

molecular biology↗

bioRxiv2025

An Lrs14 family protein functions as a nucleoid-associated protein regulating cell cycle progression in Sulfolobales

Archaea of the order Sulfolobales possess eukaryotic-like cell cycle. The chromatin organization in these archaea is supposed to rely on nucleoid-associated proteins (NAPs). Genomes of Sulfolobales species encode multiple members of the Lrs14 protein family, which have been postulated to function as NAPs. Here, we show that one of the Lrs14 family protein, named Sul14a, is a potential key player in dynamic chromatin organization in Saccharolobus islandicus. Sul14a is transcribed in a cell cycle-dependent manner and appears to be essential for cell viability. The protein exhibits DNA-binding activity preferring AT-rich sequences and can bridge DNA in vitro. ChIP-seq analysis revealed that Sul14a is enriched at AT-rich regions of the chromatin. Overexpression of Sul14a leads to cell cycle arrest at G2 phase. High-throughput chromosome conformation capture (Hi-C) and transcriptomic analyses indicate that Sul14a overexpression results in chromatin contact reduction and global transcriptional changes. In addition, we observed that the chromatin contact pattern changes markedly between 1h and 5h after release from G2 synchronization, corresponding to the lowest and highest levels of sul14a transcription, respectively, during the cell cycle. Our results establish that Sul14a is an NAP intimately associated with chromatin dynamics and global transcriptional changes during the cell cycle in Sulfolobales.

microbiology↗

bioRxiv2025

Epitope and functional classification of human neutralizing antibodies against SFTSV Gn

Severe fever with thrombocytopenia syndrome virus (SFTSV) is a lethal bunyavirus lacking approved countermeasures. From SFTS survivors, we isolate 84 human monoclonal antibodies (mAbs) against the viral glycoproteins Gn and Gc. Gn-specific mAbs demonstrate superior neutralization breadth and potency compared to the restricted neutralizing activity observed with Gc. Using a high-throughput yeast display deep mutational scanning (DMS) platform, we classify Gn-head mAbs into eight epitope groups, among which four groups (IA, ID, IIIA, IIIB) conferring neutralization. Notably, mAbs BD70-4003 (group IA) and BD70-4017 (group IIIA) exhibit broad neutralization and provide 100% protection in a lethal mouse model. Cryo-EM structural analysis of these mAbs in complex with the Gn-head reveal their binding interfaces, directly validating the epitope residues identified by DMS. Our study delineates the antigenic landscape of SFTSV Gn, identifies potent therapeutic candidates, and establishes DMS coupled with structural validation as a powerful framework for antibody discovery against bunyavirus.

immunology↗

bioRxiv2025

Local homeostatic scaling supports stable rate propagation under noise and heterogeneity

Reliable transmission of firing-rate signals through neural circuits requires synaptic coupling to remain within a narrow regime shaped by neuronal heterogeneity and noise. Outside this regime, classical theory predicts that activity will dissipate or amplify into synchrony. Studies have shown that stable rate-code transmission is biologically achievable, but they leave open how the required operating regime is established. Canonical plasticity rules including Hebbian plasticity and conventional homeostatic scaling do not by themselves recover this regime. We therefore introduce relational homeostatic scaling, a local synaptic scaling rule in which each postsynaptic neuron adjusts its total excitatory afferent strength to reduce the discrepancy between a recent AMPA-weighted afferent activity trace and a recent postsynaptic activity trace. Together, these traces capture the recent rate entering and leaving the neuron without requiring a global rate target. Mean-field analysis and simulations show that this rule drives synaptic weights toward the critical regime without precise weight initialization. The rule remains robust to neuronal heterogeneity, composes with spike-timing-dependent plasticity without disrupting Hebbian competition, and stabilizes the eligibility trace required by three-factor learning rules. These findings suggest that relational homeostatic scaling may provide a substrate for stable rate-code transmission in neural circuits. Author SummaryNeural signals often pass through many processing stages, but this is difficult in networks made of noisy and heterogeneous neurons. Classical feedforward models predict that activity will either fade away or become too synchronized unless synaptic strengths fall within a narrow stable regime. Recent studies have shown that biological neural networks can transmit firing-rate information reliably. How do neural circuits find and maintain the operating regime needed for stable rate-code transmission? We propose a simple local mechanism, relational homeostatic scaling, in which each neuron adjusts the strength of its incoming excitatory synapses by comparing a recent trace of its input activity with a trace of its own activity. Unlike conventional homeostatic scaling, the goal is not to force every neuron toward a fixed firing rate. The goal is to preserve the relationship between input drive and output activity. We show that this rule allows layered spiking networks to self-organize into the stable transmission regime, remains robust to neuronal heterogeneity, and works alongside Hebbian spike-timing plasticity. These results suggest that homeostatic plasticity may help establish the circuit conditions under which experimentally observed rate-code transmission can occur.

neuroscience↗

bioRxiv2025

β-Nicotinamide mononucleotide: a novel broad-spectrum CRISPR inhibitor

CRISPR-Cas systems have revolutionized genome editing with their precision and versatility, enabling transformative applications in various fields, especially in the treatment of genetic diseases. However, the clinical translation of this technology is hindered by challenges such as off-target effects and uncontrolled nuclease activity. At the same time, it has the possibility of causing biosecurity risks, underscoring the urgent need for reliable regulatory tools. Existing CRISPR inhibitors, primarily anti-CRISPR protein or exogenously synthesized small molecules, are limited by their specificity or bioavailability and long research period, unable to address the diverse CRISPR nucleases used in research and therapy. Based on the phenomena obtained from various in vitro and cell experiments, combining molecular dynamics simulation and bio - layer interferometry (BLI) analysis, here we report a naturally occurring small-molecule {beta}-nicotinamide mononucleotide (NMN), the first known endogenous metabolite with broad-spectrum inhibitory activity against multiple CRISPR-associated proteins (Cas9, Cas12, and Cas13) through various mechanisms. Our findings establish NMN as a dual-purpose tool, which reduces cell damage caused by gene editing and mitigates risks of unintended genetic modifications in research and clinical settings. This discovery further shortens the distance between basic medicine and translational medicine, providing a new approach for developing endogenous regulatory molecules in genome engineering.

genetics↗

bioRxiv2025

PRSNet-2: End-to-end genotype-to-phenotype prediction via hierarchical graph neural networks

The emergence of large-scale biobanks has opened unprecedented opportunities for the development of data-driven approaches, especially deep learning-based methods, for genotype-to-phenotype (G2P) prediction. However, designing an end-to-end framework capable of directly leveraging extremely high-dimensional genotypic data while simultaneously mitigating overfitting and ensuring robust prediction remains a significant challenge. In this study, we introduce PRSNet-2, an interpretable end-to-end deep learning framework designed to predict complex phenotypes directly from large-scale genotypic data. PRSNet-2 proposes a novel hierarchical graph neural network (GNN) architecture, which first employs a multi-kernel aggregator to map high-dimensional genotypic features to gene-level representations. Next, it models gene-gene interactions through message-passing operations and uses an attention-based readout module to generate interpretable phenotypic predictions. We further introduce significance-guided regularization strategies to boost models generalizability based on prior genetic associations. Extensive empirical evaluations across multiple complex traits and diseases demonstrate that PRSNet-2 consistently outperforms a variety of baseline methods and exhibits superior capabilities in overcoming overfitting, even when modeling around half a million single nucleotide polymorphisms (SNPs). Moreover, PRSNet-2 is shown to be easily extendable to integrate multiple genome-wide association study (GWAS) datasets into a single model, thereby enhancing predictive performance for both single-phenotype and multi-phenotype prediction tasks. The inherent interpretability of PRSNet-2 further facilitates the identification of disease-relevant genes, functional gene modules, and potential therapeutic targets. In summary, PRSNet-2 offers a powerful, versatile tool for both genetic risk stratification and the discovery of biological insights.

genetics↗

bioRxiv2025

Structural basis for BCL7B-mediated ncBAF-nucleosome engagement

The mammalian SWI/SNF family of chromatin remodelers comprises BRG1/BRM-associated factor (cBAF), Polybromo-associated BAF (PBAF), and non-canonical BAF (ncBAF) complexes, which slide and disassemble nucleosomes to regulate gene expression and chromatin structure dependent on ATP hydrolysis energy. While the chromatin engagement mechanisms of cBAF and PBAF have been structurally resolved, the molecular architecture governing ncBAF interaction with chromatin remains elusive. In this study, by integrating cryo-electron microscopy, biochemical assays and cross-linking mass spectrometry, we resolved the conformational transition of ncBAF-nucleosome complexes from nucleotide-free to nucleotide-bound states. Our analyses establish BCL7 proteins as dynamic molecular tethers connecting the ARP module to the nucleosomal acidic patch and demonstrate that BCL7B promotes ncBAF-mediated nucleosome remodeling, with BRG1-catalyzed ATP hydrolysis triggering conformational changes that modulate BCL7-mediated histone association. Structurally and biochemically, we further demonstrate that {beta}-actin within the BCL7-containing ARP module retains ATP hydrolysis activity, rendering its exposed pointed end structurally compatible with incorporation into the barbed end of nuclear actin filaments, which provides a potential molecular basis for coordinating nuclear actin networks with chromatin remodeling. Collectively, our findings unravel a dynamic role of BCL7 in regulating ncBAF-mediated chromatin remodeling and establish a distinct chromatin engagement mode of ncBAF from that of cBAF/PBAF.

molecular biology↗

bioRxiv2025

Single-Cell Multi-Omics Dissects Transcript Isoform and Immune Repertoire Dynamics in Human Immunosenescence

Immunosenescence, a major hallmark of systemic aging, refers to the progressive functional decline of the immune system. This decline not only compromises host defense and immunological memory but also fuels chronic inflammation and tissue degeneration (collectively known as inflammaging). While single-cell RNA sequencing (scRNA-seq) has revealed transcriptomic alterations in immune aging, analyses restricted to transcript abundance fail to capture deeper regulatory layers, such as transcript isoform diversity and the remodeling of immune receptor repertoires. To address this, we present the human peripheral immune single-cell multi-omics atlas that integrates gene expression, transcript isoforms diversity, and immune receptor repertoires. By combining single-cell full-length transcriptome sequencing (scCycloneSEQ), short-read scRNA-seq, and single-cell immune receptor sequencing (scTCR/BCR-seq), we systematically profiled peripheral blood mononuclear cells (PBMCs) from healthy young and elderly donors. Our analyses uncovered extensive age-related remodeling of immune cell composition, functional states, and TCR/BCR diversity. Notably, we identified in CD4 effector memory T cells exhibited widespread differential isoform usage (DIU), 3'UTR length variation, and a marked reshaping of cytotoxic T lymphocyte (CTL) clonotypes--all closely associated with aging-related inflammation and cellular senescence. This multi-omics atlas delineates key molecular features of immunosenescence and provides a high-resolution resource for deciphering the regulatory architecture underlying immune aging.

immunology↗

bioRxiv2025

A SARS-CoV-2 entry inhibitor trimerizes to lock the spike protein in a closed conformation

The SARS-CoV-2 spike protein binds its receptor ACE2 to initiate target-cell infection. To engage ACE2, at least one of the three receptor-binding domains (RBDs) of the spike must adopt the up orientation. Here we describe S22, a potent, bioavailable, and non-toxic inhibitor of BA.2 and all subsequent Omicron variants. Cryo-EM analyses showed that S22 assembled as a trimer in a previously uncharacterized pocket of the spike apex, stabilizing all three RBDs in the down orientation, thereby preventing ACE2 association. Binding studies, especially those using mixed S22-sensitive and -resistant spikes, imply a cooperative assembly of three S22 molecules with three RBDs, resulting in an unusually slow S22 off-rate. Consistent with its slow dissociation and favorable pharmacokinetics, S22 suppressed viral replication 100-fold in the lungs of XBB.1.5-infected mice. Thus, S22 potently inhibits Omicron entry through a distinct mechanism whereby a small compound assembles cooperatively as a trimer to stabilize spike in an inactive conformation.

microbiology↗

bioRxiv2025

Emergence of Individualized Functional Topography in the Neonatal Brain

The early postnatal period represents a critical phase for establishing the brains fundamental architecture. However, how individualized functional topography emerges and shapes long-term cognition remains unknown. Using multimodal neuroimaging data from 419 neonates, we map personalized functional topographies in the first weeks of life and reveal their association with 18-month neurocognitive outcomes. Unique and stable functional topographies are already present at birth, with interindividual variability organized along a conserved sensorimotor-to-association hierarchy. These individualized maps encode early brain maturity and robustly predict cognitive, language, and motor outcomes at 18-month of age, with predictive features concentrated at network boundaries. This functional refinement is structurally anchored by concurrent maturation in cortical myelination and sulcal depth. Preterm birth results in distinctive topographic alterations characterized by accelerated maturation of association networks. Our work establishes a foundation for precision models of early brain development and elucidates its significance for long-term neurocognitive outcomes.

neuroscience↗

bioRxiv2025

SpaTranslator: A deep generative framework for universal spatial multi-omics cross-modality translation

Recent advances in spatial omics technologies have enabled the simultaneous analysis of multiple molecular patterns in tissue sections, offering unprecedented insights into cellular microenvironments. However, the high cost of measurements and the sparsity of data restrict the availability of paired spatial multi-omics datasets. Here, we present SpaTranslator, a deep generative framework that integrates graph neural networks with an adversarial variational generative model to fully capture spatial characteristics and enable effective cross-modality translation of spatial omics data, enabling simulation of paired spatial multi-omics data from single-omics measurements. Extensive experiments demonstrate that SpaTranslator consistently outperforms baseline methods in both clustering accuracy and biological coherence across various real-world scenarios, including spatial transcriptomics-epigenomics and spatial transcriptomics-proteomics translation tasks. Furthermore, SpaTranslator provides biologically meaningful insights through marker genes and proteins recovery, motif enrichment analysis, and gene regulation inference. Our work offers an effective and adaptable solution for spatial multi-omics cross-modality translation, supporting a broad range of biological and biomedical research.

bioinformatics↗

bioRxiv2025

Hippo signaling regulates cuticle pigmentation and dopamine metabolism in Drosophila

Pigmentation plays multiple important roles in development, physiology and evolution. Melanization of the insect cuticle requires dopamine as a precursor of melanin and involves key enzymes in dopamine biosynthesis including Tyrosine hydroxylase (TH) and Dopa decarboxylase (Ddc). Some studies have hinted that disruption of the evolutionarily conserved Hippo signaling pathway, which has been primarily studied in the context of tissue growth, may lead to changes in cuticle pigmentation in the fruit fly Drosophila melanogaster. However, to our knowledge, there have not been any systematic investigations into their potential mechanistic links. In this study, we identified that all genes that comprise the canonical Hippo signaling pathway [hippo (hpo), salvador (sav), mats, warts (wts), yorkie (yki) and scalloped (sd)] are involved in cuticle pigmentation in the fly notum based on tissue-specific gene knock-down/out experiments and epistatic analysis. Despite the notable divergence of pigmentation mechanisms between invertebrates and vertebrates, these phenotypes can often be rescued by the human orthologs of corresponding fly genes. While we find that manipulation of Hippo signaling in dopaminergic neurons does not affect global dopamine levels in the fly brain, developmental inhibition of this pathway can increase dopamine levels in the fly head, indicating that the mechanism by which dopamine levels are regulated in the nervous system is distinct from that in epithelial cells. Through single nuclei RNA sequencing of the developing fly nota and subsequent functional studies of differentially expressed genes that are altered upon inhibition of Hippo signaling, we found many genes that contribute to cuticle pigmentation downstream of Hippo signaling. We conclude that regulation of cuticle pigmentation by canonical Hippo signaling acts through multiple downstream genes rather than directly through TH and Ddc. We also propose that the Drosophila melanogaster cuticle may serve as a useful platform to identify previously uncharacterized mediators of Hippo signaling as well as an in vivo experimental system to test the functionality of rare genetic variants found in human Hippo signaling orthologs associated with a variety of diseases.

genetics↗

bioRxiv2025

Multimodal AI Decodes Extreme Environment Functional Dark Matter Beyond Homology

Functional annotation of proteins from extreme environments represents a major bottleneck for bioresource discovery, as a vast reservoir of functional dark matter defies existing homology-based methods. We demonstrate that environmental pressures impart conserved physicochemical energy signatures that co-determine protein function with sequence and structure. Here we developed ACCESS, a multimodal graph neural network employing hierarchical contrastive learning with a tailored label-sample co-embedding to fuse energy, sequence, and structural information and overcome homology scarcity. ACCESS surpasses state-of-the-art methods including BLASTp and CLEAN in annotating low-identity enzymes. Applied to extreme environmental metagenomics, we constructed a function map of extremophile enzymes to expand the biocatalyst library, pinpointed functionally critical residues to guide rational design, and enabled large-scale, function-based macro-evolutionary analyses. This paradigm transcends the limitations of homology, illuminating protein dark matter and accelerating the exploration of the biospheres functional diversity for applications in biotechnology and therapeutic development.

bioinformatics↗

bioRxiv2025

Peroxiredoxin 1 safeguards the nucleolar genome from oxidative damage

Peroxiredoxin 1 (PRDX1) is a highly conserved, thiol-dependent peroxidase that rapidly scavenges reactive oxygen species to modulate redox signaling. PRDX1-null mice exhibited genomic instability, shortened lifespan, and accelerated tumorigenesis, including development of lymphomas, sarcomas, and carcinomas. Despite extensive characterization of these phenotypes, the molecular mechanism by which PRDX1 loss causes genomic instability remains poorly understood. Here we show that PRDX1 deficiency alters nucleolar morphology, impairs RNA Polymerase I (POL-I)-dependent transcription of pre-ribosomal RNAs and triggers nucleolar genomic instability. This oxidative stress-induced nucleolar dysfunction promotes the stability of secondary DNA structures, such as RNA-DNA hybrids and G-quadruplex DNA, contributing to nucleolar genomic instability. We demonstrate that PRDX1 loss reduces nascent rRNA levels and impairs rRNA processing, further affecting ribosome biogenesis. Mechanistically, we established that PRDX1 loss triggers activation of the nucleolar DNA damage response including activation of DNA repair kinase ATM and the nucleolar factor TCOF1 within the nucleolus, and recruitment of the MRE11-RAD50-NBS1 (MRN) complex subunit NBS1 to ribosomal DNA (rDNA) loci. NBS1 accumulation correlates with the repression of rDNA transcription by POL-I, potentially delaying rRNA synthesis, and safeguarding the nucleolar genome from further oxidative damage. Collectively, these findings uncover a previously unrecognized, but critical role, for PRDX1 in maintaining nucleolar integrity and ribosomal biogenesis through redox-dependent regulation of rDNA transcription and processing machinery.

molecular biology↗

bioRxiv2025

Viral RNA persistence in sheep tissues following acute Crimean-Congo hemorrhagic fever virus infection

Crimean-Congo hemorrhagic fever orthonairovirus (CCHFV) is a tick-borne RNA virus that can cause a severe hemorrhagic disease in humans. In animals, CCHFV infection is known to produce a transient viremia followed by host recovery and thus a short window in which animals can serve as potential intermediate hosts. Here we report that, in domestic sheep experimentally infected with CCHFV Kosovo Hoti, viral whole genome sequences were recovered from tissues long after the clearance of viremia. While viral RNA persistence in tissues was largely characterized by a lack of continuous and extensive viral replication, the sporadic presence of replication products (RNA transcripts and proteins) was detected. These findings suggest that the biology of CCHFV in animals goes far beyond an acute infection. A possibility of viral reactivation from a dormant state, akin to that observed in other RNA viruses, warrants further investigation.

microbiology↗