Biology subjects

Li, C.

Publications and source records attributed to Li, C..

At least 289 records · Page 16Linked to original sources

bioRxiv2025

Beach sand beneath our feet: an overlooked reservoir of antibiotic resistance genes and pathogens, revealed by metagenomic evidence from Qingdao's recreational beaches

Coastal beach environments, especially those with heavy tourist activity, represent a dynamic interface between terrestrial and marine microbiomes. However, beach sand is rarely considered in surveillance of antibiotic resistance. In this study, we combined 16S rRNA gene sequencing and shotgun metagenomics to characterize microbial communities and antibiotic resistance genes (ARGs) at four popular recreational beaches in Qingdao, China. We show that beach sands harbor highly diverse bacterial communities with significantly greater richness than adjacent seawater. Beach sand near sewage discharge points had microbial profiles intermediate between raw sewage and open-ocean water, reflecting contributions from both sources. Metagenomic analysis identified a broad "resistome" of over 300 distinct ARGs in these beach and water samples, spanning 33 antibiotic classes and 6 resistance mechanism categories. Notably, the rifampicin resistance gene rpoB2 was the most abundant ARG, and genes conferring resistance to peptide antibiotics were prevalent. Sewage outfalls were found to be major contributors of ARGs, with waste-influenced sand containing a larger and more diverse ARG pool than sand farther from pollution sources. We also detected a high diversity of bacterial virulence factor genes, particularly in sand. Our findings highlight that tourist beaches can serve as reservoirs and mixing zones for antibiotic-resistant and potentially pathogenic bacteria from land-based pollution. This underscores the need to include beach sand in environmental monitoring for antibiotic resistance and to improve wastewater management at recreational coastlines to mitigate public health risks. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=198 SRC="FIGDIR/small/661489v1_ufig1.gif" ALT="Figure 1"> View larger version (84K): org.highwire.dtl.DTLVardef@18705f3org.highwire.dtl.DTLVardef@1979f8forg.highwire.dtl.DTLVardef@16c9029org.highwire.dtl.DTLVardef@6c778d_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

bioRxiv2025

Self-inactivating AAV-CRISPR at different ages enables sustained amelioration of Huntington's disease deficits in BAC226Q mice

Huntingtons disease (HD) is a monogenic autosomal dominant neurodegenerative disorder caused by a CAG repeat expansion in the first exon of the HTT gene, yielding a gain-of-toxic-function mutant Huntingtin protein mHTT. CRISPR/Cas9 is a potentially powerful therapeutic tool for treating HD by eliminating mutant HTT (mHTT) gene. We developed a specific SaCas9 guide RNA to target human mHTT, and a self-inactivating gene editing system that abolishes SaCas9 after a short transient expression for high gene editing efficiency and maximal safety to prevent off-target effects. Both conventional and the new self-inactivating gene editing systems achieved successful elimination of mHTT gene, 60-90% mHTT protein and 90% of mHTT aggregation in BAC226Q HD mouse brains, which resulted in significant long-term rescue of neural pathology, motor deficits, weight loss and shortened lifespan. These beneficial effects were observed when gene editing was applied before, at and well after the on-set of pathological and behavioral abnormalities. These proof-of-concept data demonstrate that gene editing can be a highly effective therapeutic approach for HD and other inherited neurodegenerative diseases. One Sentence SummarySelf-inactivating CRISPR for mutant huntingtin in HD mice achieved long-term rescue of neural pathology, motor deficits, weight loss and survival.

neuroscience↗

bioRxiv2025

An atlas of cell type specific regulatory effects in cattle

Understanding the genetic and molecular architecture of complex traits and artificial selection is crucial for advancing sustainable precision breeding in cattle and other livestock. Yet, how genetic variation affects cellular gene expression remains elusive in cattle. Here, by integrating 8,866 bulk RNA-seq samples and 999,192 single cells of 81 cell types in 22 bovine tissues, we presented a comprehensive atlas of regulatory variants at the cell type resolution in cattle. By colocalizing with bulk-tissue expression quantitative trait loci (beQTL), we detected 57,043 novel cell-type stratified eQTL and cell-type/state interaction eQTL in 18,153 genes, which also exhibited a stronger tissue/cell-type specificity than beQTL. By examining genome-wide associations (GWAS) of 44 complex traits, these cell-resolved eQTL were colocalized with 505 (24%) additional GWAS loci compared to beQTL. Through integrating this resource with selection signatures between dairy and beef cattle, we provided tissue/cell-specific regulatory insights into cattle breeding. Overall, the current atlas of cell-type-specific regulatory variants will serve as an invaluable resource for cattle genomics and selective breeding.

genetics↗

bioRxiv2025

Rethinking Representation Complexity in Drug-Target Prediction via Supervised Vector Quantization

Accurate prediction of drug-target interactions (DTIs) is crucial for computational drug discovery. Although pretrained language models offer richer molecular and protein representations, their increasing complexity does not always lead to better predictive performance. In many cases, the inclusion of redundant or irrelevant features may obscure biologically relevant patterns. In this study, we systematically evaluate the contribution of complex features in DTI prediction and demonstrate that only a portion of these features is truly informative. Based on this insight, we propose a Vector Quantization (VQ)-based module that functions as a plug-and-play feature selection layer within deep learning architectures. When combined with a simple fully connected classifier, this supervised VQ (SVQ) framework not only surpasses recent state-of-the-art DTI methods in performance, but also enhances interpretability through the learning of discriminative codewords. This work highlights the importance of input feature selection in deep learning and offers a new perspective for constructing robust and interpretable DTI prediction models.

bioinformatics↗

bioRxiv2025

Heme drives cardiac endothelial senescence in sepsis via STING activation

Sepsis-induced cardiac dysfunction is a major contributor to sepsis-related mortality, and many patients continue to experience long-term cardiac complications after recovery. Here, we demonstrate that cardiac senescence is a key feature of sepsis-associated cardiac dysfunction, with endothelial cells identified as the predominant senescent population in septic cardiac tissue. Yet, the pathogenic drivers of endothelial senescence in sepsis remain poorly characterized. Among potential mediators, we found that elevated levels of heme, a byproduct of hemolysis, strongly correlate with increased endothelial senescence and impaired cardiac function. Mechanistic studies revealed that heme acts as a novel ligand for STING, exacerbating bacterial infection induced STING polymerization and activation, thereby promoting endothelial senescence. Notably, either STING inhibition or enhanced heme clearance via increased hemopexin expression significantly alleviated cardiac endothelial senescence and facilitated cardiac functional recovery in septic mice. These findings identify heme as a critical pathogenic driver of endothelial senescence and highlight heme clearance as a promising therapeutic strategy for mitigating sepsis induced cardiac dysfunction.

cell biology↗

bioRxiv2025

Deciphering the microbial landscape of lower respiratory tract in health and respiratory diseases

The microbiota plays an important role in maintaining lung homeostasis and the development of respiratory diseases. However, there have not been detailed characteristics of lung microbiome in health and respiratory diseases. Bronchoalveolar lavage fluid of 43 healthy individuals, 23 COVID patients, and 28 non-small cell lung cancer patients was conducted to characterize microbial diversity and function by metagenomic sequencing. We identified 196 species in health lung after removing low abnudance species. The most abundant species were Staphylococcus aureus, Salmonella enterica, and Klebsiella pneumoniae. Keystone species were identified through co-network analysis, such as Granulicatella adiacens and Mogibacterium diversum. To further explore the microbial function in the healthy lung, we obtained 56 non-redundant metagenome-assembled genomes (MAGs) and subsequently classified them into nine phyla. Metabolism and genetic information processing exhibit high abundance, including bacterial secretion systems, protein export, and Staphylococcus aureus infection, indicating a close correlation between microbiota and the host. Furthermore, the microbiome pairwise distances of non-small cell lung cancer (NSCLC) participants were more similar to those of the healthy group than those of individuals with COVID-19. Rothia dentocariosa, Corynebacterium kefirresidentii, Sphingobium yanoikuyae were enriched in the healthy group, while Schaalia odontolytica, Actinomyces graevenitzii, and Rothia mucilaginosa was enriched in the NSCLC group. Overall, this study provides a comprehensive overview of the diversity and gene function of the lung microbiome, which will facilitate future studies of microbiota associated with respiratory diseases in humans.

microbiology↗

bioRxiv2025

Scavenger Receptor class F member 2 is an intracellular receptor for Hepatitis B virus

Hepatitis B virus (HBV) infects hepatocytes by specific binding to the cell-surface receptor --sodium taurocholate cotransporting polypeptide (NTCP)--through the preS1 region of its large envelop protein, followed by a less well understood transport process across the cytoplasm to the nucleus. Here, we report that scavenger receptor class F member 2 (SCARF2), a single-pass transmembrane protein, functions as an intracellular receptor for HBV. SCARF2 binds to a preS1 region downstream of the NTCP binding site through its N-terminal EGF-like domains 4-6, and its proline-rich C-terminal domain also plays an indispensable role in the infection. The internalized HBV virions are transported to the cytoplasmic side of nuclear pore complexes (NPCs) within the SCARF2-containing endosomes. HBV capsid release from the endosomal vesicles is significantly impaired by knockdown of SCARF2. These results suggest a model that SCARF2 conveys HBV to the periphery of NPCs and ultimately leads to viral capsid release for nuclear entry.

microbiology↗

bioRxiv2025

PPIKB: A Comprehensive Knowledge Base and Analysis Platform for Protein Peptide Interactions Based on Literature and Patents

Protein-protein interactions (PPIs) underpin a multitude of fundamental biological processes and represent critical therapeutic targets. Peptide compounds--owing to their structural flexibility, high target specificity, and the combined advantages of small molecules and biologics--have emerged as powerful modulators of these interactions. However, the exponential growth of scientific publications and patent filings poses a significant challenge for the systematic integration of protein-peptide interaction (PPepI) data. To address this, we implemented a high-throughput extraction pipeline powered by large language models (LLMs) to harvest affinity data from both research articles and patents, followed by rigorous manual curation. Applying this approach to 4,241 research papers and 483 patents published between 1972 and 2025, we compiled 21,760 manually validated quantitative affinity entries encompassing 2,013 unique protein targets derived from human, mouse, rat, viral, bacterial, and other species. In parallel, we consolidated 18,005 structural entries of protein-peptide complexes from the Protein Data Bank and associated literature. Leveraging these comprehensive datasets, we developed PPIKB, a user-friendly database and analysis platform that enables efficient querying, visualization, and in-depth analysis of protein-peptide interactions. PPIKB also provides a suite of tools tailored to facilitate peptide-based drug discovery, protein engineering, and systems-level biological research. By combining state-of-the-art text-mining technologies with expert validation, PPIKB sets a new standard for accessibility and utility in the field of protein-peptide interaction data resources. Access PPIKB at: https://ppikb.duanlab.ac

bioinformatics↗

bioRxiv2025

Dendritic cell-intrinsic TLR/MyD88 signaling promotes the clearance of a live-attenuated oral vaccine

A genital tract pathogenicity-attenuated Chlamydia muridarum mutant, named intrOv, is being developed into an oral vaccine against C. trachomatis infection in the genital tract. Although wild-type C. muridarum persists in the mouse large intestine for long periods, intrOv is cleared by the group 3 innate lymphoid cells that produce IFN{gamma} (IFN{gamma}+ILC3s). The current study aims to reveal the mechanism by which intrOv induces IFN{gamma}+ILC3s for its own clearance from the large intestine. IntrOv-induced IL-23 and IL-23 signaling were required for the clearance of intrOv from the large intestine. The intrOv clearance depended on dendritic cells, as depletion of CD11c+ cells reduced both IL-23 and IFN-{gamma}, resulting in the growth of intrOv. Deletion of MyD88 from dendritic cells, but not phagocytes or epithelial cells, rescued the growth of intrOv, indicating a critical role of MyD88 signaling in dendritic cells. Furthermore, TLR2/4 signaling is also essential for inhibiting intrOv, as the deficiency in TLR2/4 fully rescues the growth of intrOv. Both the TLR and MyD88 signaling must be in the same dendritic cells to inhibit intrOv, as the growth of intrOv in the MyD88- or TLR2/4-deficient mice was blocked by only wild-type bone marrow-derived dendritic cells but not dendritic cells deficient in either MyD88 or TLR2/4. Thus, we have demonstrated a dendritic cell-intrinsic TLR/MyD88/IL-23 pathway for recruiting effectors to clear intrOv from the large intestine. The information may help further improve the efficacy and safety of intrOv and guide the design of future mucosal vaccines.

immunology↗

bioRxiv2025

Inhibiting RhoA Activation via GDP-state Stabilization to Relieve Heart Failure

High rates of heart failure (HF) morbidity and mortality have made targeting myocardial remodeling--particularly hypertrophy and fibrosis--a key therapeutic focus. RhoA, which regulates cytoskeletal reorganization and cell migration, plays a role in this process. However, RhoA has long been considered "undruggable", due to its strong binding to its endogenous substrates, GDP/GTP, and the lack of well-defined pockets for drug targeting. Here, we discovered a cryptic pocket proximate to GDP within RhoA and identified a natural product, AH001, binds here and interacts with GDP, stabilizing RhoAs interaction with its endogenous inhibitor, RhoGDI. AH001 reduced the downstream MRTFA nuclear translocation and downregulated fibrosis/hypertrophy proteins. Consequently, AH001 mitigated myocardial remodeling in multiple HF animal models, and in the 3D myocardial tissue model. Our findings highlight the therapeutic potential of inhibiting RhoA activation in myocardial remodeling, ultimately targeting HF, and offer a promising avenue for developing reversible inhibitors against undruggable GTPases.

pharmacology and toxicology↗

bioRxiv2025

Single-cell imaging reveals spontaneous phenotypic sorting and bet-hedging in developing biofilms

How phenotypic heterogeneity shapes biofilm architecture and development remains poorly understood. Motivated by this, we developed imaging tools to track intracellular levels of c-di-GMP, a key second messenger that controls the motile-to-sessile transition, in developing Vibrio cholerae biofilms at single-cell resolution. We show that c-di-GMP levels spontaneously bifurcate into a bimodal distribution that forms a spatially sorted pattern: High-c-di-GMP cells dominate the biofilm core while low-c-di-GMP cells localize to the periphery. Combining single-lineage tracing, mutant analysis, and agent-based modeling, we reveal that this pattern arises from differential viscosity and surface friction mediated by matrix-dependent interactions between cells and their microenvironments. We demonstrate that this heterogeneity and phenotypic sorting enable continuous emergence and shedding of planktonic cells, enhancing fitness in fluctuating environments. Our findings uncover a differential drag mechanism for pattern formation in multicellular systems, and expand the classical picture of biofilm lifecycle by highlighting the functional significance of phenotypic heterogeneity.

biophysics↗

bioRxiv2025

Single-cell spatial map of cis-regulatory elements for disease-related genes in the macaque cortex

Single-cell spatial transcriptomes have demonstrated molecular and cellular diversity in the brain1, 2, 3, 4, 5, 6, 7, 8, but gene regulatory mechanisms underlying transcriptomic profiles and disease pathogenesis remain largely unknown in primates. Here we performed single-nucleus Assay for Transposase-Accessible Chromatin followed by sequencing (snATAC-seq) for [~]1.6 million cells from 142 cortical regions of two male cynomolgus monkeys (Macaca fascicularis), and identified distinct chromatin accessibility profiles of cis-regulatory elements (CREs) for various cell types. By integrative analysis with large-scale spatial transcriptome data, we found that these CREs showed laminar and regional preferences, with their regional accessibility exhibiting striking dependence on the regions hierarchical level. Cross-species comparison of snATAC-seq data revealed human/macaque-enriched layer-4 glutamatergic neurons and LAMP5/LHX6-expressing GABAergic neurons as well as human/macaque-biased CREs for genes related to neurodevelopment and psychiatric diseases. Importantly, risk single-nucleotide polymorphisms for many brain disorders strongly associated with human/macaque-biased CREs in glutamatergic neuronal types and those for Alzhemers disease strongly associated with CREs exclusively in microglia. Our results provided the basis for understanding the spatial gene regulatory mechanisms underlying cellular diversity and disease pathogenesis in the primate cortex.

neuroscience↗

bioRxiv2025

Pyruvate kinase activates SARM1 to exacerbate axonal degeneration in diabetic peripheral neuropathy

Diabetic peripheral neuropathy (DPN) is a prevalent and disabling complication of diabetes, characterized by progressive axonal degeneration. However, the molecular link between hyperglycemia and axon injury remains unclear. Here, we identify pyruvate kinase M (PKM) as a direct metabolic activator of the NADase SARM1 under high-glucose conditions. Proteomic and biochemical analyses reveal that PKM binds the TIR domain of SARM1 via its C-terminal region, allosterically enhancing NADase activity independently of PKMs glycolytic role. In dorsal root ganglion (DRG) neurons, hyperglycemia strengthens the PKM-SARM1 interaction, driving NAD depletion, axonal fragmentation, and sensory dysfunction. Genetic depletion of PKM protects against streptozotocin-induced neuropathy, preserving nerve fiber density, restoring NAD levels, and alleviating mechanical allodynia. Most notably, we developed Pep-SP1, a competitive inhibitory peptide derived from residues 645-655 of the SARM1 TIR domain, which selectively disrupts the PKM-SARM1 interaction without impairing PKM metabolism or SARM1 catalytic activity. Systemic delivery of Pep-SP1 attenuates axonal degeneration and improves sensory outcomes in diabetic mice. By targeting a disease-potentiating interface, we expand therapeutic strategies beyond catalytic and allosteric inhibition, offering a mechanistically distinct avenue for axon protection with broad relevance to metabolic and neurodegenerative disorders.

neuroscience↗

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

DNA framework array enables ultra-high throughput DNA synthesis

High-throughput DNA synthesis has revolutionized synthetic biology, molecular diagnostics, genome engineering, and DNA data storage by enabling the scalable and precise construction of nucleotide-based information systems. However, existing high-throughput synthesis technologies rely on top-down fabrication strategies to maximize throughput, yet they are inherently constrained by physical limitations. These constraints make it exceedingly difficult to achieve single-molecule level synthesis control that is essential for advancing next-generation DNA synthesis. Here, we present a DNA framework-based bottom-up enzymatic synthesis strategy that enables single-molecule level control of DNA synthesis with high-throughput. Leveraging the nanoscale addressability of DNA frameworks, we achieved a synthesis site pitch of 10.9 nm--183-fold smaller than that of previously reported electrode arrays. Theoretical projections suggest that this approach could scale synthesis throughput to 5.3 x 1011 sequences per square centimeter, representing a four-order-of-magnitude improvement over existing synthesis arrays. This approach lays the foundation for gigabyte-scale DNA writing and offers a highly accessible pathway toward large-scale DNA synthesis for emerging applications such as molecular data storage.

synthetic biology↗

bioRxiv2025

Inhibition of p38 MAPK after repetitive mild TBI ameliorates immune signaling and behavioral deficits

BackgroundMild traumatic brain injury (mTBI) can cause long-term functional impairments, and repetitive mTBIs within a window of vulnerability can exacerbate these consequences compared to a single mTBI. However, current interventions for mTBI focus on alleviating symptoms, rather than targeting underlying mechanisms. Following the initial mechanical impact, increasing evidence suggests that the brain undergoes an inflammatory cascade consisting of pro-inflammatory intracellular signaling pathways and production of cytokines, ultimately leading to chronic neuroinflammation and persistent neurological deficits. Prior work in severe traumatic brain injury has shown that the p38 MAPK signaling pathway is a key regulator of microglial activation, proinflammatory cytokines, and synaptic dysfunction, but its role in the context of mTBI remains unclear. As such, this study aimed to determine if inhibition of p38 MAPK would attenuate the inflammatory response and longer-term functional deficits following a weight-drop mouse model of repetitive mTBI. MethodsC57BL/6J male and female mice were injected with a small molecule p38 MAPK inhibitor (SB239063) after each of 5 once-daily weight-drop closed head injuries (CHIs) or sham injuries. Functional outcome was assessed at 4-weeks post injury. Protein and transcriptional alterations associated with the immune response, synaptic function, microglial phenotype, and functional outcomes were assessed at both 4-hours and 4-weeks after the final CHI. ResultsIn females, acute inhibition of p38 MAPK attenuated i) cytokine expression and microglial reactivity at 4-hours post injury and ii) antidepressive-like behavior and synaptic loss at 4-weeks post injury. In males, p38 MAPK inhibition also attenuated microglial reactivity and up-regulation of specific cytokines, although changes in functional outcomes did not reach significance. Interestingly, bulk RNAseq analysis in both sexes showed that acute p38 MAPK inhibition both normalized the effects of injury and upregulated protective genes and pathways associated with recovery and maintenance of brain homeostasis. Together, these findings suggest a role for p38 MAPK in driving the acute and longer-term consequences post repetitive mTBI in a sex-dependent manner, and they suggest therapeutic potential of p38 MAPK inhibition. To our knowledge, this work is the first to investigate the effects of small molecule inhibitor SB239063 as a potential therapeutic treatment administrated following rmTBI.

molecular biology↗

bioRxiv2025

Structural innovations and neurogenic continuity define avian brain development and evolution

Understanding how neurogenic diversity and brain architecture emerge is crucial for deciphering the mechanisms of brain plasticity and cognitive evolution. Here, we present a comprehensive single-cell and spatial transcriptomic atlas of the budgerigar brain, a highly cognitive avian species. We uncover a striking dorsoventral symmetry in excitatory neuron distribution, precisely organized along the lamina mesopallialis intermedia (LMI), a key boundary structure. Cross-species comparisons further reveal the origins of this unique avian pallial organization, offering new insight into avian brain evolution. Our study also highlights distinct developmental trajectories and asynchronous maturation patterns between telencephalic and optic tectum excitatory neurons, underscoring their contribution to innate circuit assembly. Furthermore, we identify adult neural stem cells (NSCs) with evolutionarily conserved transcriptomic signatures across avian species, emphasizing their role in brain plasticity and adaptation. These findings refine fundamental models of avian brain development and elucidate conserved principles of cognitive plasticity.

evolutionary biology↗

bioRxiv2025

Evaporative cooling signals for wound healing in plants

Repairing damaged tissues is essential for the survival of all organisms. In plants, tissue injury rapidly triggers defense and repair programs. However, the molecular mechanisms linking early injury cue to the later stages of wound repair remain unclear. Here, we show that wounding of Arabidopsis leaves induces localized low temperature at the injury site, likely caused by evaporative cooling, which is accompanied by an activation of cold-responsive genes. Using thermal imaging combined with computer vision and deep learning, we developed a workflow to monitor the dynamics of wound healing in a quantitative, non-invasive and real-time manner. Mechanistically, we show that C-repeat Binding Factor (CBF) transcription factors are required for the activation of injury-associated cold response and downstream salicylic acid (SA) signaling. The CBF-SA module promotes lignin deposition and wound repair. Together, these findings reveal a link between a wound-induced biophysical cue and the tissue repair program.

plant biology↗