Biology subjects

Li, S.

Publications and source records attributed to Li, S..

At least 109 records · Page 6Linked to original sources

bioRxiv2026

Spatiotemporal Patterns and Structural Substrates of Individual Functional Variability in Youth

Youth is a period of emerging individuality and extensive neural remodeling, yet how functional brain individuality is organized across development remains unclear. Prior work has often conflated variability in functional topography with variability in functional connectivity, highlighting the need to examine them separately to better understand how functional individuality relates to brain structure and cognition. Here, using individualized functional parcellation in two large multimodal developmental cohorts (total N = 1211), we separately quantified variability in individualized functional parcellation (vIFP) and in functional connectivity (vFC). Both forms of variability were organized along the sensorimotor-association axis and were greatest in the association cortex. During development, vIFP increased significantly with age at both regional and whole-brain level, whereas vFC showed regionally specific age effects but no significant whole-brain increase. Both trajectories exhibited a common mid-adolescent inflection (14-16 years), marking a window of accelerated functional individualization. Despite shared spatial and temporal organization, vIFP and vFC showed dissociable associations with brain structure and cognition. vIFP was more strongly coupled to structural variability, whereas vFC was more strongly associated with cognitive variability. These findings reveal convergent and divergent developmental principles of topographic and connectional functional variability, highlighting their complementary roles in structural constraints and cognitive specialization.

neuroscience↗

bioRxiv2026

The nucleolar complex FAN-FIP1 mediates ribosome biogenesis in Arabidopsis and is critical for BR signaling and heat tolerance

Ribosome biogenesis is critical for plant development and environmental responses. A large number of ribosomal proteins (RPs) and ribosomal biogenesis factors (RBFs) are required for ribosome biogenesis, many of which remain uncharacterized in plants. We report here the identification of Arabidopsis RBF FAN and its interacting partner FAN-INTERACTING PROTEIN 1 (FIP1). As their human and yeast orthologues, FAN-FIP1 interact. Both FAN and FIP1 participate in the processing of pre-rRNAs. Functional loss of FAN or FIP1 knock-down results in developmental retardation and hypersensitivity to heat stresses. We demonstrate that FAN-FIP1 positively mediates brassinosteroid (BR) signaling by ensuring the translation efficiency of the BR receptor-coding gene BRASSINOSTEROID INSENSITIVE 1 (BRI1) through the presence of its upstream open reading frame (uORF). Importantly, BR signaling positively mediates the processing of pre-rRNAs, which may be critical not only for development but also for heat tolerance.

plant biology↗

bioRxiv2026

Buffered sweat microfluidics with AI-enabled translation for clinically actionable blood urea estimation and renal risk stratification

Kidney-function assessment relies on blood urea as a clinically informative metabolic marker; however, its dependence on venipuncture and centralised laboratory testing limits high-frequency monitoring and delays timely clinical intervention. Here, we report an integrated platform combining a wearable buffered microfluidic patch with a physiology-informed, data-driven calibration framework for real-time, non-invasive estimation of blood urea from microlitre-scale sweat volumes (4.79 L). By precisely regulating the release kinetics of internal buffer salts, the device stabilises the local reaction microenvironment, mitigating variability in sweat pH and flow to ensure reproducible measurement. The resulting signals are processed through an artificial intelligence (AI)-enabled analysis pipeline that integrates sweat urea with patient-specific physiological information to generate clinically interpretable outputs. In multicentre studies, sweat urea shows a strong association with blood urea across diverse cohorts, but with nonlinear and time-lagged relationships that limit direct use. The AI-enabled calibration model compensates for these effects, enabling high-fidelity estimation of blood urea (r = 0.945 versus gold-standard measurements) at clinically relevant concordance levels. The platform further identifies kidney injury with 89.1% accuracy and stratifies disease severity with 83.2% accuracy. Notably, these results demonstrate that the integration of physicochemical stabilisation and AI-enabled data-driven translation establishes sweat as a clinically actionable surrogate for renal monitoring, supporting population-level estimation and highlighting the potential for personalised longitudinal assessment, and enabling a scalable, non-invasive strategy for high-frequency kidney disease management.

biophysics↗

bioRxiv2026

Aberrant neuron-OPC synaptic transmission and deficient myelination define sex bias in major depressive disorder

Sex bias is a notable feature of major depressive disorder (MDD), yet its cellular and molecular origins remain unclear. We integrated computational analyses of human patient data with histological and biochemical validation in animal models to uncover female-specific MDD pathways. We identified female-specific mechanisms involving oligodendroglial lineage cells, especially oligodendrocyte precursor cells (OPCs), as key signal receivers with unidirectional preference in interactome networks. The neurexin (NRXN) pathway emerged as the most perturbed in MDD, with greater disruption in females. Subclustering further identified committed OPCs (cOPCs) as a disease-associated oligodendroglial subpopulation characterized by high expression of synaptic genes; cOPCs were also enriched of MDD-related transcriptional signatures revealed by trajectory analysis. High-dimensional weighted gene co-expression network analysis identified GABRG3 as an MDD-specific hub gene in cOPCs. The GABRG3 was also involved in the NRXN synaptic assembly cascade. Using Gabrg3 conditional knockout mice, we validated findings in patients and demonstrated that conditional deletion of Gabrg3 in cOPCs recapitulates MDD-like phenotypes, highlighting impaired neuron-cOPC synaptic communication, abnormal myelination, and depression-like behaviors. Together, our work defines a sex-specific cellular and molecular pathobiology of MDD, bridges clinical discovery with preclinical context, and provides a translatable framework for precision medicine targeting fundamental sex differences.

neuroscience↗

bioRxiv2026

Structural basis of substrate recognition and allosteric inhibition in human B0AT2

The SLC6 family is a major target for neuropsychiatric therapeutics. Human B0AT2 (SLC6A15) regulates amino acid homeostasis and glutamatergic transmission and is linked to major depressive disorder, yet its transport and inhibition mechanisms remain unclear. Here we report cryo-EM structures of B0AT2 in apo state and in complex with substrates (proline, leucine, methionine) and inhibitors (loratadine, tiagabine), capturing outward-open, early substrate-bound intermediate, outward-occluded, and inward-open conformations along the transport cycle. These structures reveal an early substrate-sensing mechanism at the substrate-binding pocket (S1), where a substrate-dependent rotameric switch of Phe308 remodels pocket geometry to tune substrate accommodation and selectivity. Loratadine stabilizes an outward-occluded state via allosteric inhibition at the extracellular S2 pocket, whereas tiagabine stabilizes the inward-open state through cooperative multi-site inhibition involving S1 and two previously unrecognized intracellular cavities (S3 and S4). Together with functional assays, these data define the molecular basis of B0AT2 substrate selectivity and state-dependent inhibition. Notably, the two intracellular cavities are conserved across SLC6 transporters, reflecting a shared intracellular vestibular architecture and enabling rational design of conformation-selective modulators for neuropsychiatric disorders.

biophysics↗

bioRxiv2026

Entanglement-governed protein networks enable mechanically adaptive artificial skin for transplantation-scale skin replacement

Artificial skin substitutes that simultaneously achieve mechanical robustness, regenerative bioactivity, and transplantation-scale tissue integration remain challenging to engineer. Here we report a mechanically adaptive bilayer artificial skin based on entanglement-mediated protein networks. By integrating protein chain entanglement, flexible molecular linkers, and photo-triggered intermolecular crosslinking, we establish a hierarchically organized protein matrix with enhanced toughness, structural adaptability, and regenerative compatibility. Spatial biofunctionalization further enables integration of an antibacterial Zn{superscript 2}-coordinated epidermal layer and a regenerative CLP-EGF-functionalized dermal layer within a unified construct. The engineered skin promotes cellular proliferation through PI3K-AKT-mTOR activation, exhibits sustained antibacterial activity, and supports large-area full-thickness skin replacement covering approximately 40% of the dorsal skin surface in mice. The construct further accelerates diabetic wound repair and extracellular matrix remodeling in vivo. These findings establish entanglement-mediated protein engineering as a strategy for mechanically adaptive regenerative biomaterials and provide a platform for transplantation-scale skin regeneration.

bioengineering↗

bioRxiv2026

Chromosome-level genome assembly of the Northeast China Brown Frog (Rana dybowskii)

Rana dybowskii is distributed across Northeast Asian and represents a valuable medical resource. A high-quality assembly of the genome has not yet been reproted. This species has 2n=24 chromosomes, but a huge genome size that estimated at 3.5 ~4.6 Gb in the previous studies. The relatively large chromosome size, exceeding hundreds of megabases, may result in difficulties of obtaining a complete chromosome level genome. Here, we constructed a chromosome-level genome assembly of R. dybowskii by integrating PacBio HiFi long-read sequencing for de novo assembly and CiFi (3C coupled with HiFi sequencing) for scaffolding. The final assembly consists of 12 chromosomes with a total of 3.95 Gb and a scaffold N50 length of 455 Mb. BUSCO assessment using the tetrapoda_odb12 database identified 94.2% complete and 0.5% fragmented orthologs, suggesting a high level of completeness of the assembly. Genomic annotation revealed that repetitive sequences comprise over 53% of the assembly, with retroelements and DNA transposons accounting for 22% and 25%, respectively. A total of 43,999 protein-coding genes were predicted with the assistance of RNA-seq reads from four tissues (muscle, eye, testis and skin). This high-quality chromosome-level reference genome provides a valuable genomic resource for advancing genetic studies of the species.

genomics↗

bioRxiv2026

The HUSH Complex Dictates EBV-transformed B cell Sensitivity to NK Cell Surveillance Through Repression of NKG2A Ligand γ-Proto-cadherin

Natural Killer (NK) cells control Epstein-Barr virus (EBV), though how EBV+ B-cells escape NK surveillance to form tumors remains unknown. To gain insights, we performed a human genome-wide CRISPR-Cas9 screen in EBV-transformed lymphoblastoid cell lines (LCL). This revealed that the HUSH complex maintains LCL sensitivity to NK. HUSH knockout (KO) de-repressed LCL protocadherin gamma (PCDHG), typically expressed by neurons. PCDHG expression protected LCLs from NK and was necessary for HUSH KO-driven NK resistance. CRISPR analyses revealed NKG2A/CD94 as the PCDHG NK inhibitory counter-receptor, and NKG2A KO restored NK lysis of HUSH KO LCLs. HUSH perturbation impaired NK control of murine LCL xenografts in vivo. A subset of follicular lymphoma (FL) upregulate PCDHG, and PCDHG KO enhanced FL lysis by NK. Therefore, HUSH plays dual roles in foreign DNA surveillance and in support of NK, potentially as a neuronal dont kill me signal that can be exploited by transformed cells.

immunology↗

bioRxiv2026

Mechanisms of viral budding through cellular membranes

Budding is a fundamental membrane-remodeling process central to many cellular functions and is exploited by numerous enveloped viruses to acquire their lipid envelopes. Despite extensive molecular characterization, the physical mechanisms that determine whether budding proceeds to completion or becomes stalled remain unclear. Here, we develop a theoretical model based on the Helfrich elastic formalism to investigate how membrane geometry and boundary conditions regulate the elastic energy of viral budding. We analyze two representative cases: budding from a flat membrane, characteristic of HIV-1 and alphaviruses, and budding from a vesicle, as observed for SARS-CoV-2 in the ER-Golgi intermediate compartment (ERGIC). Our results reveal distinct energetic pathways: vesicle-like geometries exhibit a stronger energetic bias toward closure, whereas flat membranes develop extended low-slope regions in the energy landscape that can hinder completion. Relaxing far-field boundary constraints reduces the energetic cost associated with membrane area conservation and renders the flat-membrane case energetically comparable to the vesicle case, providing a physical explanation for why viruses frequently bud adjacent to one another or within pre-curved membrane regions. Comparison with thin-section TEM images of alphavirus budding shows results consistent with the theoretical membrane profiles. Together, these findings establish how curvature coupling, boundary flexibility, and local membrane geometry cooperate to control the efficiency and completion of membrane budding.

biophysics↗

bioRxiv2026

SRPK3 regulates back-splicing of pre-MYOCD through Phosphorylating SRSF10 to modulate cardiac hypertrophy

Cardiac hypertrophy represents a hallmark of pathological remodeling in heart failure, involving complex molecular networks that remain incompletely defined. While post-transcriptional regulation is increasingly recognized as a key control layer, the role of splicing kinases in this process requires further elucidation. This study identifies serine/arginine-rich protein kinase 3 (SRPK3) as a central regulator of myocardial hypertrophy through its control of circular RNA (circRNA) biogenesis. We observed marked SRPK3 upregulation in phenylephrine/angiotensin II-treated cardiomyocytes, transverse aortic constriction (TAC) rats, and human heart failure datasets. Gain- and loss-of-function studies demonstrated that SRPK3 overexpression exacerbates hypertrophic phenotypes, including increased cell surface area and upregulation of markers (ANP, BNP, Myh7). Conversely, siRNA knockdown or pharmacological inhibition with the pan-SRPK inhibitor MSC-1186 effectively attenuated these pathological features. Mechanistically, SRPK3 interacts with and phosphorylates the splicing factor SRSF10 at specific serine residues (S129, S131, and S133). This phosphorylation event inhibits the back-splicing of pre-MYOCD, resulting in reduced cardioprotective circ-MYOCD levels and a concomitant increase in linear MYOCD expression. The depletion of circ-MYOCD relieves its competitive inhibition on linear splicing, driving the transcriptional activation of pro-hypertrophic signaling pathways. Crucially, restoring circ-MYOCD expression reversed SRPK3-driven pathology, confirming its protective role. These findings establish the SRPK3-SRSF10-circ-MYOCD axis as a critical regulatory circuit in cardiac remodeling. By bridging kinase activity with splicing dynamics, this study highlights RNA processing as a vital therapeutic target. Targeting this axis via SRPK3 inhibition or circ-MYOCD delivery represents a promising dual-modality strategy for treating heart failure.

Molecular Biology↗

bioRxiv2026

Murepavadin is a broad-spectrum outer membrane permeabiliser

Murepavadin is a Pseudomonas-specific antibiotic that targets LPS transport protein LptD. However, whilst the mode of action of murepavadin is well defined, the mechanism by which the drug gains access to LptD remains unresolved. Here, we demonstrate a self-directed uptake mechanism for murepavadin, whereby binding to lipid A induces outer membrane disruption, enabling entry of the antibiotic into the periplasm and access to LptD. Murepavadin-LPS interactions were not specific to P. aeruginosa, however, and were found to cause OM disruption across a wide range of Gram-negative bacteria, resulting in increased antibiotic susceptibility. We also discovered that murepavadin-mediated OM disruption sensitised E. coli to the membrane attack complex of the complement system. In conclusion, murepavadin is a broad-spectrum membrane permeabiliser, which results in increased bacterial susceptibility to antibiotics and host defences.

microbiology↗

bioRxiv2026

Architecture of a portal complex embedded in the poxvirus core

Gene transcription within the viral core is a unique feature of poxvirus replication. Following entry into the cytoplasm, the poxvirus core dissociates from the lateral bodies and undergoes expansion, functioning as a compartment for early transcription. However, the mechanisms governing molecular exchange between the viral core and the host cytoplasm remain poorly understood. Here, we determine the structures of the portal complex and its pore on the poxvirus core at 7.1 [A] and 4.9 [A] resolution, respectively, using cryo-electron tomography and sub-tomogram averaging. The pore is assembled from three viral proteins, E8, E6, and L3, for which we constructed an atomic model. Structural and channel analyses reveal that the pore satisfies the geometric and electrostatic requirements for the transport of RNA and smaller negatively charged molecules, while excluding double-stranded DNA and cytosolic DNA sensors. Together, our findings establish a structural framework for understanding the assembly and function of the poxvirus portal complex and identify potential targets for antiviral intervention.

biophysics↗

bioRxiv2026

Microbiome-Derived RNA Promotes Heritable Defense Against Intracellular Pathogens in Caenorhabditis elegans

Intestinal microbiota shape host immunity, but whether they can pre-activate defense against intracellular pathogens remains unclear. Here, we identify a natural microbiome member, Stenotrophomonas indicatrix JUb19, as the first example of a bacterium that partially induces the Intracellular Pathogen Response in Caenorhabditis elegans in the absence of infection. This response is coupled to broader metabolic remodeling, suggesting that combined immune and metabolic changes contribute to defense. We show that bacterial single-stranded RNA contributes to this effect, identifying a novel microbiome-derived signal that links microbial exposure to host defense. JUb19 exposure reduces susceptibility to both viral and microsporidian pathogens and confers inherited protection to unexposed progeny, but at a cost to parental fitness. These findings reveal a mechanism by which microbiome-derived RNA programs immunity against intracellular pathogens across generations.

molecular biology↗

bioRxiv2026

PRIME: scalable, robust inference of mechanistic cell states from multimodal single-cell counts via probability generating functions

Single-cell multiomic technologies can now quantify complementary RNA species within the same cell, creating an opportunity to move beyond descriptive clustering toward mechanistically interpretable cell states. Yet most current methods depend on heuristic integration steps and become computationally burdensome at scale, limiting their ability to robustly detect subtle kinetic differences across heterogeneous populations. Here we introduce PRIME, a scalable framework for mechanistic cell-state discovery from multimodal single-cell count data. PRIME embeds multimodal measurements in a probability generating function (PGF) space, where transcriptional dynamics are encoded compactly and compared efficiently. This representation enables robust inference of latent kinetic structure and supports rapid cell grouping with a power K-means backbone that remains stable under noise, sparsity, and multimodality. Across synthetic benchmarks and experimental multimodal datasets, PRIME consistently recovers cell populations distinguished by transcriptional kinetics, outperforms conventional integration-and-clustering pipelines in robustness, and yields interpretable parameters that link observed variability to underlying regulatory mechanisms. By providing a mathematically principled yet practical route from multimodal counts to kinetic cell states, PRIME empowers biologists to uncover dynamic transcriptional regimes, dissect regulatory heterogeneity, and connect cell identity to mechanism rather than markers.

systems biology↗

bioRxiv2026

Kinetics of Hypoglycemia in Diabetes Patients Informs Development of New Modes of Glucagon Therapy

Insulin therapy revolutionized the care of patients with diabetes starting [~]100 years ago, yet insulin-induced hypoglycemia remains a serious life-threatening complication of insulin therapy. Glucagon is a highly effective treatment; however current dosage forms remain under-utilized due to poor patient compliance. The development of improved and situation-specific glucagon therapies remains challenging due to the poor drug stability and incomplete knowledge of the kinetics of different hypoglycemic events. Thus, we analyzed continuous glucose monitor (CGM) data from 1135 patients with type 1 diabetes (T1D) representing 246.18 patient years. We show that a surprisingly large proportion of hypoglycemic episodes (20-30%) are follow-on events resulting from under-treatment of prior events, and that the average duration of independent hypoglycemic events can last up to 79 to 108 minutes. We further show that the kinetics of hypoglycemic onset and persistence varies significantly by patient history, severity, time of occurrence. Guided by these findings, we recognize the opportunity to develop high-density, readily-soluble, and thermostable (ReST) solid glucagon formulations, and painless application-specific microneedle-patches that are in line with the timing needs of T1D patients who are awake and asleep. Thus, we demonstrate (1) on-demand patches for rapid prevention or treatment of mild hypoglycemia during the day, and (2) enzyme-driven hypoglycemia-responsive patches supporting autonomous glucagon release during the night. We show excellent in vitro glucagon stability, loading, and release kinetics of both systems and demonstrate their ability to treat hypoglycemia in diabetic animals. The engineering of these delivery systems demonstrates the potential of human CGM data and solid glucagon formulations to enable new modes of glucagon therapy, thereby expanding the clinical role of glucagon beyond the emergency setting.

bioengineering↗

bioRxiv2026

Accurate de novo design of peptides from programming biophysical landscape

Peptides regulate virtually every cellular process and emerge as transformative modalities in bioengineering and therapeutics. However, the de novo design of functional peptides remains challenging, as peptide-protein interactions are governed by delicate and dynamic biophysics that are difficult to model, and experimental datasets are scarce. Here we present NeoPep, a generative deep-learning framework that encodes biophysical principles to accurately design functional peptides de novo. By integrating over 5 million peptide-protein complexes spanning experimentally determined, sequence mimics, and structure ensembles, NeoPep learns the complex biophysical landscape governing peptide function and enables its programmable control. In prospective application across 10 diverse and challenging targets, NeoPep generated potent peptide binders, agonists, and antagonists with hit rates of 12.5-66.7%, even in the absence of defined binding sites or structure information. Beyond de novo co-design, NeoPep supports standalone structure or sequence redesign, readily discriminating subtle context differences. In the structure redesign mode, it generates highly selective peptides with atomic-level conformational accuracy (C RMSD < 2.0 [A] to our solved cryo-EM structure). This structural precision circumvents the need for experimental structure determination, further accelerating iterative sequence redesign to yield a 43.3-fold improvement in potency. These findings establish a general framework for translating biophysical principles into actionable peptide functions, with broad implications for basic research, bioengineering, and medicine.

molecular biology↗

bioRxiv2026

Spatial and Molecular Progression of Neural Progenitor Cells in the Developing Human Dentate Gyrus

The large diversity of neuronal and glial cell types in the human brain is underpinned by foundational cell populations known as neural progenitor cells (NPCs). The dentate gyrus (DG) of the hippocampus, a key structure in learning and memory, maintains a tightly organized NPC population into adulthood across many mammalian species. However, the emergence, organization and persistence of NPCs in the human hippocampus remain poorly characterized. Reports of NPCs in the juvenile, adult, and aged periods have been variable, reflecting differences in identification criteria and highlighting the need for a unified framework across development. In this study, we provide a spatial and molecular map of the developmental trajectory of NPCs in the human DG, combining multimodal transcriptomic analysis within a neuroanatomical context. At mid-gestation, we observed changes in the structural and cellular arrangement of the hippocampus, coinciding with the emergence of a multicellular NPC layer within the DG, herein named the granular-hilar progenitor zone (GHPZ). Neurogenic transcriptomic signatures in the GHPZ were diminished by early infancy, coinciding with a reduction in NPC number as they progressed toward an astrocytic program. At childhood, the GHPZ dissolved with only sparse radial NPCs remaining in the DG. Lastly, we validated WNT signaling pathway-associated genes as NPC identity markers in the developing human DG, observing a decline in their expression after infancy. Our study defines the steep decline of NPCs from gestation to the postnatal period, identifies their progression to an astrocytic nature, and sets the molecular blueprint for NPC identification in the human DG. HighlightsO_LIMultimodal mapping of neural progenitor cells from gestational to postnatal stages in the human hippocampus C_LIO_LIFormation of the granular-hilar progenitor zone within the dentate gyrus at mid-gestation C_LIO_LINeurogenic potential declines sharply from the prenatal period to childhood, with radial glia cells progressively acquiring astrocytic features C_LIO_LIDevelopmental modulation of the WNT signaling pathway accompanies radial glia cell transitions C_LI

neuroscience↗

bioRxiv2026

Structural Dynamics of RNA Polymerase II During Nucleotide Addition Cycle

RNA polymerase II (RNAPII) drives gene expression through iterative nucleotide addition cycles (NACs) comprising translocation, substrate binding, and catalysis. The lack of pre-catalysis and post-catalysis intermediates has precluded a complete mechanistic understanding of the NAC. Here we present 43 cryo-EM structures capturing distinct stages of the S. cerevisiae RNAPII elongation complex (EC) NAC, including previously intractable transition intermediates. We establish a continuous spectrum of RNAPII EC structural dynamics during the NAC, which can be divided into two coordinated phases: a substrate-induced EC tightening phase and a post-catalysis EC relaxation phase. For the substrate-induced EC tightening phase, the substrate binding initiates allosteric conformational changes across the entire RNAPII EC, including TL folding, funnel closure, clamp closure, transcription bubble ordering, and precise alignment of the RNA 3'-end with substrate to form a catalysis-competent configuration. For the post-catalysis EC relaxation phase, we captured the long-sought, short-lived post-catalysis product state and identified a series of intermediates that reveal a reverse conformational transition that facilitates rapid translocation. Together, our findings define a comprehensive structural and dynamic framework for RNAPII NAC, yielding a "molecular movie" of RNAPII in action and revealing a fundamental principle by which the enzyme balances speed and fidelity through coordinated conformational dynamics.

molecular biology↗