Biology subjects

Wei, Z.

Publications and source records attributed to Wei, Z..

At least 55 records · Page 3Linked to original sources

bioRxiv2026

Astrocyte-induced internal state transitions reshape brainwide sensory, integrative, and motor computations

Animals rapidly adapt to changing circumstances by shifting how they perceive, integrate, and act. Such flexibility is often attributed to transitions between internal states that exert widespread influence across the brain. Yet the mechanisms that drive state transitions and how they reconfigure brainwide computation remain unclear. Larval zebrafish, when actions are rendered futile by decoupling visual flow feedback from swimming in virtual reality, enter a temporary passive, energy-preserving state. In this state, astrocyte calcium levels are elevated, and swim reinitiation requires greater accumulated visual motion. Using whole-brain, cellular-resolution activity imaging, we observed widespread circuit alterations underlying this disengaged state: neuronal visual responses weakened, visual motion integration over time became dramatically leakier, motor inhibition increased, and motor preparation slowed, together suppressing conversion of sensory evidence into action. Astrocyte calcium rose during futile swimming, tracked the emergence and resolution of these brainwide changes, and was both necessary and sufficient to drive them. Thus, astrocytes orchestrate internal states that profoundly reshape neural computations, most powerfully at intermediate integrative processing stages, to meet changing demands. HighlightsO_LIInternal state change alters brainwide neuronal processing at every stage of the sensorimotor transformation C_LIO_LIEffects are most powerful at integrative stages through stimulus memory collapse C_LIO_LIAs state resolves, amplification of sensory representations synergizes with reduced motor inhibition for action reinitiation C_LIO_LIAstrocyte activity drives these brainwide adaptive shifts in neuronal dynamics C_LI

neuroscience↗

bioRxiv2026

Dissociation of Diffusion and Perfusion Responses After Intracerebral Hemorrhage

Background and PurposeIntracerebral hemorrhage (ICH) triggers complex secondary injury processes that extend beyond hematoma formation. While structural and diffusion MRI are widely used to characterize tissue injury, the spatiotemporal evolution of cerebral perfusion after ICH, particularly in small-animal models, remains poorly defined. Here, we performed a longitudinal multiparametric MRI study to delineate the relationship between microstructural injury and cerebral perfusion following experimental ICH. MethodsA collagenase-induced mouse model of ICH was studied longitudinally from baseline to 21 days post-stroke. Hematoma volume, tissue microstructure, and cerebral blood perfusion (CBP) were quantified using T2*-weighted MRI, diffusion-weighted imaging, and pseudo-continuous arterial spin labeling (pCASL) MRI, respectively. Apparent diffusion coefficient (ADC) and CBP were quantified in multiple brain regions from both ipsilateral and contralateral hemispheres and analyzed using linear mixed-effects models. ResultsHematoma volume peaked acutely and gradually attenuated over time. ADC exhibited an early reduction largely confined to the striatum, followed by progressive recovery, consistent with localized cytotoxic edema and subsequent attenuation. In contrast, CBP showed a marked bilateral hypoperfusion during the acute phase, followed by a delayed perfusion increase that was spatially restricted to the ipsilateral striatum. Notably, significant contralateral perfusion alterations were observed despite minimal contralateral diffusion changes, indicating a dissociation between microstructural injury and vascular regulation. ConclusionsMicrostructural and perfusion responses after ICH follow distinct spatiotemporal trajectories. Whereas diffusion abnormalities are largely localized to the hemorrhagic core, perfusion disturbances extend bilaterally beyond the lesion site. These findings challenge the common assumption of contralateral physiological stability after focal hemorrhage and highlight the value of quantitative perfusion MRI for capturing systemic cerebrovascular responses that are not reflected by diffusion or anatomical measures alone.

physiology↗

bioRxiv2026

fMRI-Based Prediction of Eye Gaze During Naturalistic Movie Viewing Reveals Eye-Movement-Related Brain Activity

BackgroundEye gaze provides crucial insights into perceptual and cognitive processes during naturalistic movie viewing, yet concurrent eye tracking is often unavailable in functional MRI (fMRI) research. While deep learning models can estimate gaze directly from fMRI eyeball signals, their out-of-the-box generalizability across heterogeneous datasets requires empirical evaluation. MethodsWe applied a specific pre-trained model from the DeepMReye framework in a zero-shot setting (without dataset-specific fine-tuning) to estimate gaze during movie watching across three independent fMRI datasets. Model accuracy was evaluated against camera-based eye-tracking data and via inter-subject correlations. Furthermore, we derived eye-movement-related time series from the predicted gaze signals to map their associated brain activation. ResultsAt the individual level, predicted gaze showed modest correspondence with measured ground-truth data (r {approx} 0.24-0.37), yielding brain activation maps largely restricted to the visual cortex. In contrast, group-averaged gaze predictions exhibited substantially higher reliability (r {approx} 0.73-0.84). First-level General Linear Models (GLMs) derived from group-averaged predictions successfully revealed widespread activation across established oculomotor control regions, including the frontal and parietal eye fields. Exploratory analyses of age-related effects on gaze prediction and brain activity yielded inconsistent results across datasets. ConclusionsUnder a zero-shot implementation, the pre-trained model exhibits limitations for individual-level inference, likely reflecting the absence of dataset-specific training. However, group-averaged fMRI-based gaze estimates successfully capture shared viewing behaviors and robustly support the investigation of eye-movement-related brain activity. These findings inform the appropriate use of fMRI-based gaze decoding for naturalistic neuroimaging datasets lacking ground-truth eye-tracking logs.

neuroscience↗

bioRxiv2026

Probiotic phage steering of disease suppressive rhizosphere microbiome

Current phage therapy approaches predominantly focus on targeting pathogenic bacteria, overlooking the vast potential of phages that interact with beneficial, plant growth-promoting (probiotic) bacteria. Here we tested if a single phage targeting a probiotic Stenotrophomonas maltophilia bacterium can steer the rhizosphere microbiome disease suppressiveness against Ralstonia solanacearum phytopathogen. We find that S. maltophilia quickly evolves resistance to its phage via mutations in ssb and TonB genes and by upregulating anti-phage defense systems. Crucially, evolution of phage resistance reprograms the bacterial transcriptome and metabolome, leading to unexpectedly enhanced antimicrobial activity against the R. solanacearum. Furthermore, exposing S. maltophilia to phage in the tomato rhizosphere increases the microbiota-wide disease suppressiveness by stabilizing bacterial diversity and facilitating pathogen suppression by other resident species. Our findings suggest that probiotic-specific phages could be used as ecological and evolutionary engineers to steer the rhizosphere microbiome disease suppressiveness through activation of antagonistic bacterial interactions.

evolutionary biology↗

bioRxiv2025

Vascular Microbleeds Without Brain Atrophy: A Microvascular Signature of Mid-Stage 5xFAD Pathology

Cerebral microbleeds are increasingly recognized as a downstream manifestation of vascular injury in Alzheimers disease (AD), arising secondary to cerebral amyloid angiopathy (CAA). Here, we examined the pathological specificity of microbleeds by comparing an amyloidosis mouse model (5xFAD) with a small-vessel disease (SVD) model characterized by vascular smooth-muscle cell loss. In vivo multimodal MRI, including gradient-echo, spin-echo, and diffusion-weighted imaging, was complemented by ex vivo high-resolution anatomical scans for validation. Both in vivo and ex vivo gradient-echo MRI consistently revealed hippocampal microbleeds in the 5xFAD model without macroscopic atrophy or ventricular enlargement, whereas no microbleeds or blood-brain barrier disruption were detected in the SVD model. Diffusion-weighted MRI further showed region-specific alterations in apparent diffusion coefficient within the midbrain of 5xFAD mice, but not in other regions or in the SVD cohort. These findings indicate that microbleeds are a pathology-specific marker of amyloid-related vascular injury. The imaging evidence underscores the potential of microbleeds as a disease-specific biomarker for detecting amyloid-driven vascular fragility and refining diagnostic and therapeutic strategies for AD.

neuroscience↗

bioRxiv2025

Hyperintense signals in cerebral blood flow maps acquired with pseudo-continuous arterial spin labeling MRI in mice

Background and PurposePseudo-continuous arterial spin labeling (pCASL) MRI is a widely used, noninvasive, contrast-agent-free technique for measuring cerebral blood flow (CBF) and assessing vascular dysfunction across diverse clinical settings and murine disease models. In practice, arterial-transit artifacts that generate hyperintense signal in CBF maps warrant careful consideration. While these effects are well characterized in humans, they are less well understood in mice owing to the marked interspecies physiological differences. MethodsTo address this knowledge gap, we systematically characterized pCASL hyperintense signal as a function of post-labeling delay (PLD) and crusher-gradient strength in mice. Numerical simulations were also performed to validate the experimental findings. ResultsWe found that hyperintense signals in mice extend to arteries, major veins, and ventricular structures (e.g., choroid plexus). Such a pattern was different from human pCASL images, where hyperintense signals are predominantly present in arteries. Statistical analyses supported a PLD of 500 ms as a pragmatic balance between detection sensitivity and suppression of vascular contamination. Additional experiments and numerical simulations showed that, within the tested range, stronger crusher gradients provided little extra vascular suppression--primarily because large vessel calibers relative to small voxels limit intravoxel phase dispersion. These findings refine the interpretation of murine pCASL signals and facilitate more accurate perfusion imaging in preclinical pathophysiological studies.

bioengineering↗

bioRxiv2025

Vascular smooth muscle cell loss, but not neuroinflammation, drives cerebrovascular reactivity impairment in Alzheimer disease

INTRODUCTIONCerebrovascular reactivity (CVR) impairment is a key feature of Alzheimers disease (AD), but its mechanistic basis remains unclear. This study examined whether vascular smooth muscle cell (VSMC) loss, rather than amyloidosis or neuroinflammation, underlies CVR deficits. METHODSNon-contrast MRI, including phase-contrast and pseudo-continuous arterial spin labeling, was performed in mouse models of amyloidosis (5xFAD), VSMC degeneration (CADASIL), and lipopolysaccharide-induced neuroinflammation. Characterization of vascular, amyloid-{beta}, and inflammatory markers were performed for pathological assessment. RESULTSCVR impairment emerged only when VSMC loss was present in CADASIL mice and at older ages in 5xFAD mice (9-12 months). Amyloid-{beta} deposition occurred earlier than VSMC loss or CVR decline. Neuroinflammation primarily altered baseline cerebral blood flow without affecting CVR or VSMC integrity. DISCUSSIONThese findings identify VSMC degeneration as an important driver of CVR impairment independent of cerebral amyloid angiopathy or inflammation, highlighting vascular integrity as a potential therapeutic target in AD. HighlightsO_LICerebrovascular reactivity (CVR) impairment occurred in 5xFAD mice only when vascular smooth muscle cell (VSMC) loss was present C_LIO_LI5xFAD mice exhibited prominent parenchymal but minimal vascular amyloid-{beta} deposition C_LIO_LIVSMC developmental deficiency resulted in CVR impairment in a small-vessel disease (SVD) model C_LIO_LINeuroinflammation primarily altered baseline cerebral blood flow (CBF) without affecting CVR C_LI

bioengineering↗

bioRxiv2025

Modeling TCR-pMHC Binding with Dual Encoders and Cross-Attention Fusion

Accurately modeling the binding between T-cell receptors (TCRs) and peptide-MHC (pMHC) complexes is essential for guiding immunotherapy development and personalized vaccine design. However, the vast diversity of TCR repertoires and the scarcity of experimentally validated interactions make generalization to unseen epitopes challenging. This paper proposes TIDE, a cross-attention-driven dual-encoder framework that leverages large protein and molecular language models to learn discriminative representations of TCRs and peptides. In TIDE, TCR sequences are encoded using Evolutionary Scale Modeling (ESM), while peptides are transformed into SMILES strings and processed by MolFormer to capture chemical and structural properties. Multi-layer cross-attention then refines and integrates these embeddings, highlighting interaction-relevant patterns without requiring explicit structural alignment. Evaluated on the TCHard benchmark under both zero-shot and few-shot settings, TIDE achieves superior predictive accuracy and robustness compared to state-of-the-art baselines such as ChemBERTa, TITAN, and NetTCR. These results demonstrate that combining pretrained language models with cross-attention fusion offers a powerful approach for TCR-pMHC binding prediction and paves the way for more reliable computational immunology applications.

bioinformatics↗

bioRxiv2025

LorMe: a streamlined and interoperable R framework for end-to-end microbiome analysis

Microbiome research is rapidly evolving accompanied by increasingly diverse analytical strategies and visualization formats. However, existing R-based tools remain fragmented, differ in data structures, and often require extensive package-specific pre-processing. This increases command-line complexity and limits both interoperability and reproducibility across packages. Here, we present LorMe (Lightweight One-line Resolving Microbial Ecology), an R package that provides a unified, interoperable, and user-friendly framework for microbiome data analysis. LorMe incorporates a standardized S4 object system with fully bidirectional compatibility with phyloseq and microeco, which enables seamless data exchange across major microbial analysis packages. A global configuration system ensures consistent parameter control and visualization standards, and a modular architecture supports both complete end-to-end workflows and flexible execution of individual analytical components. Based on these, LorMe further offers an one-command pipeline that conducts the full spectrum of microbial community analyses, including alpha and beta diversity, differential abundance testing, co-occurrence network inference, and meta-network construction, while archiving all intermediate objects and source data to ensure complete reproducibility. Demonstrations using sample datasets show that LorMe performs comprehensive analyses within minute, produces publication-ready outputs, and maintains methodological transparency. Application to a real rhizosphere dataset revealed biologically coherent patterns across diversity metrics, differential taxa, and network modules, highlighting the capacity of LorMe to support robust ecological interpretation. Collectively, LorMe provides a lightweight, extensible, and flexible solution that reduces technical barriers and enhances reproducibility in microbiome research. LorMe package is freely accessible from both CRAN (https://cran.r-project.org/web/packages/LorMe) and github (https://github.com/wangnq111/LorMe)

bioinformatics↗

bioRxiv2025

BMP-Smad1/9 signaling is required for PGC proliferation in zebrafish

The specification and maintenance of germ cell lineage are vital for reproductive development and heredity. The germ cell fate in some species, such as zebrafish and Xenopus, is determined by maternally supplied germ plasm, whereas in mammals it is induced by bone morphogenetic protein (BMP) signaling after implantation. It remains elusive whether BMP signaling is implicated in zebrafish germ cell development. Here, we demonstrate that, in zebrafish, BMP-Smad1/9 signaling is required for primordial germ cell (PGC) maintenance but not for PGC fate determination or migration. BMP inhibitor treatment or whole-embryo smad1/9 knockdown reduces the number of PGCs. To investigate cell-autonomous roles of BMP-Smad1/9 in PGCs, we generated PGC-specific smad1/9 knockouts using a double-transgenic approach with PGC-specific expression of Cas9 and ubiquitous expression of guide RNAs (gRNAs). Loss of Smad1/9 in PGCs leads to impaired PGC proliferation and increased apoptosis, resulting in reduced PGC numbers and adult sex bias. Moreover, transcriptome analysis of smad1-deficient PGCs revealed no significant changes in the expression of PGC-specific genes, but a marked upregulation of genes involved in cell cycle checkpoints and DNA damage repair. Notably, ectopic ATR-pChk1 activation in smad1-cKO PGCs validates cell cycle defects and DNA replication stress. ATR inhibition restores PGC numbers in mutant embryos. Collectively, these findings underscore a critical role of BMP-Smad1/9 signaling in zebrafish PGC population maintenance, while it is dispensable for PGC fate determination and migration.

developmental biology↗

bioRxiv2025

The HDAC2-selective inhibitor KTT-1 attenuates autoimmune arthritis by inhibiting osteoclast differentiation in mice

Histone deacetylases (HDACs) are crucial epigenetic regulators of gene expression through the reversible acetylation of lysine residues, and their inhibition is known to exert anti-arthritic effects. Given the critical role of osteoclasts in bone destruction in rheumatoid arthritis (RA) pathogenesis, targeting HDAC2--whose expression is upregulated during osteoclast differentiation--represents a promising therapeutic strategy. Although the development of highly specific HDAC2 inhibitors has recently attracted considerable attention, no such inhibitor has yet been successfully developed. In the current study, we found that the kinetic-selective HDAC2 inhibitor KTT-1 effectively suppressed arthritis symptoms in the collagen-induced arthritis (CIA) mouse model without causing severe side effects. Furthermore, KTT-1 inhibited osteoclast differentiation at an early stage by downregulating c-Fos expression, suggesting that the KTT-1-mediated anti-arthritis effect was achieved by inhibiting osteoclast differentiation. These findings highlight KTT-1 as a promising therapeutic candidate for the development of targeted synthetic disease-modifying antirheumatic drugs (tsDMARDs).

immunology↗

bioRxiv2025

Clonal dynamics shaped by diverse drug-tolerant persister states in melanoma resistance

Most advanced melanomas initially respond to targeted therapy but eventually relapse. Rather than acquiring new mutations, resistance is driven by drug-tolerant persister cells that enter a reversible drug-refractory state. We developed MeRLin, a high-resolution lineage tracing platform integrating cellular barcoding, single-cell transcriptomics, RNA fluorescence in situ hybridization (FISH), and computational analyses to track clonal and transcriptional dynamics in patient-derived melanoma models during prolonged therapy. Clonal dynamics revealed that persister subpopulations first responded to treatment but persisted and expanded during minimal residual disease, ultimately leading to tumor recurrence. Pre-treatment melanoma populations diversified into four conserved persister states characterized by stress-like, lipid metabolism, PI3K signaling, and extracellular matrix remodeling programs associated with adaptive resistance. Spatial transcriptomics showed the organization of these adaptive programs and a complex signaling network of autocrine and paracrine interactions among persister subpopulations. Barcoded RNA-FISH enabled spatial mapping of clonal identity and gene expression, revealing in situ co-localization of a dominant resistant clone with SLC2A1 expression. MeRLin provides a robust framework for dissecting cancer heterogeneity and identifying vulnerabilities in persister populations.

cancer biology↗

bioRxiv2025

Transcontinental Spread of HPAI H5N1 from South America to Antarctica via Avian Vectors

Our study has for the first time identified H5N1 strains (clade 2.3.4.4b, genotype B3.2) in brown skuas from the Fildes Peninsula, South Shetland Islands, Antarctica. These findings indicate that highly pathogenic avian influenza H5N1 viruses is now actively circulating in Antarctic ecosystems, representing a significant expansion of its geographic range.

genomics↗

bioRxiv2025

Metabolic Immunosuppression Mediated by Proliferative CD168+TAMs in Colon Cancer

The role of non-monocyte-derived, in situ proliferating tumor associated macrophages (TAMs) in tumor progression has been underappreciated. Proliferative TAM subsets likely represent critical mediators in establishing the immunosuppressive microenvironment, given the susceptibility of TAMs to be hijacked by malignant cells for pro-tumorigenic functions. However, the regulatory networks governing their self-renewal circuitry and lineage bifurcation remained undefined. Combining single cell RNA sequencing of human and murine colon tumors, we identified CD168+ TAMs, a hyperproliferative subpopulation with FOXM1-dependent maintenance of replicative competence. Spatial multi-omics and functional validation revealed that this subset exhibited peritumoral localization and underwent immunosuppressive polarization through cholesterol-coordinated CX3CL1-CX3CR1 signaling. Colon cancer-specific lipid metabolic rewiring elevates glycerophospholipid and cholesterol flux, with PLA2G7-mediated glycerophospholipid catabolism promoting CX3CR1 expression in TAMs. Thus, the CX3CR1 signaling-driven immunosuppressive effect of CD168+ TAM is an integrated response to tumor-specific metabolic features. Targeting the CD168+ TAMs may enable therapeutic strategies for metabolic-immune reshaping in colon cancers.

cancer biology↗

bioRxiv2025

Mechanistic insights and in vivo HIV suppression by the BRD4-targeting small molecule ZL0580

Epigenetic suppression and durable silencing of HIV represent a promising strategy to achieve ART-free remission, consistent with the "block and lock" HIV cure paradigm. BRD4 is a host epigenetic reader and plays a critical role in HIV transcriptional regulation. We previously identified ZL0580, a first-in-class BRD4-selective small molecule distinct from the pan-BET inhibitor JQ1, which induces HIV epigenetic suppression. However, detailed molecular mechanisms, pharmacokinetics (PK), and in vivo HIV-suppressive efficacy of ZL0580 remain undefined. Here, we show that ZL0580 selectively targets BRD4 bromodomain 1 (BD1) through interaction with a key glutamic acid residue (E151), as determined by structural modeling and mutagenesis. Transcriptomic profiling by RNA-seq reveals that ZL0580 and JQ1 induce opposing gene expression programs, consistent with their distinct effects on HIV proviral transcription and latency. In a humanized mouse model of HIV infection, ZL0580 monotherapy, or in combination with ART, potently suppressed active HIV replication, reducing the plasma viremia to nearly undetectable levels, and delayed viral rebound following treatment interruption. Collectively, these findings establish ZL0580 as an epigenetic suppressor of HIV in vivo and provide proof-of-concept for its potential as a "block and lock" HIV cure candidate, warranting further optimization and development.

microbiology↗

bioRxiv2025

Stage- and tissue-specific gene editing using 4-OHT inducible Cas9 in whole organism

Vertebrate genes usually function in specific tissues at specific stages, and thus their functional studies require conditional knockout or editing. In the zebrafish, spatiotemporally inducible genome editing, especially during early embryonic development, is still challenging. Here, we report inducible Cas9-based gene editing in specific cell types at desired stages in zebrafish. We show that the nCas9ERT2 fusion protein consisting of Cas9 and estrogen receptor flanked by two nuclear localization signals is normally located in the cytoplasm and efficiently translocated into the nucleus upon 4-hydroxytamoxifen (4-OHT) treatment in cultured cells or embryos. As a proof-of-concept, we demonstrate that target genes in primordial germ cells or germ cells of transgenic zebrafish embryos or adults with stable expression of nCas9ERT2 and gene-specific guide RNAs (gRNAs) can be induced to mutate by application of 4-OHT. This inducible nCas9ERT2 system also works in mouse early embryos. Thus, this inducible gene editing approach will be another choice for studying the temporospatial function of genes at the organismal level. Hence, the inducible nCas9ERT2 system expands the tissue- and stage-specific gene editing toolkit.

developmental biology↗

bioRxiv2025

Interwoven DNA-MOF crystals for multi-millennial data storage

DNA has emerged as a promising medium for high-density and energy-efficient data storage, providing a promising solution to capacity constraints and energy demands resulting from the exponential growth of data. Long-term stable storage of DNA data in ambient conditions is a critical requirement for its practical application. Whereas strategies have been proposed to protect DNA from environmental degradation, they are often at the expense of data storage density. Here, we propose a strategy via interweaving metal-organic framework (MOF) and DNA to synthesize DNA-MOF crystal (DNA-MOF), a high-density and long-lifespan DNA-based information material. The uniform distribution of DNA molecules within the crystalline frameworks enables a high loading capacity of up to 30 wt%, corresponding to a theoretical information density of 106.6 exabytes/g. The crystal structure of MOF-DNA demonstrates efficient resistance to environmental damage such as heat, ultraviolet radiation, DNase, etc., achieving an estimated archival half-life over 24,000 years at 9.4 {degrees}C. The interwoven DNA-MOF crystals establish a material foundation for the reliable operation of DNA storage systems in open-field deployment and provide a new pathway toward sustainable long-term management of massive data.

biochemistry↗

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↗