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Zhang, X.

Publications and source records attributed to Zhang, X..

At least 145 records · Page 8Linked to original sources

AAV VP1 unique region (VP1u) determines GPR108 dependence for AAV transduction of human airway epithelium and its rescue by Doxorubicin

rAAV2.5T was identified through directed evolution of an AAV capsid library in polarized human airway epithelium (HAE) cultured at an air-liquid interface (ALI). The capsid gene of rAAV2.5T is a chimera of the N-terminal unique region of AAV2 VP1 (VP1u) and the VP2 and VP3 regions of AAV5 with a single A581T substitution at the variable region (VR) VIII of the capsids. GPR108, a G protein-coupled receptor, is known as an essential host factor for the transduction of rAAV2 but not of rAAV5. Both AAV2 and AAV5 VP1u colocalized well with GPR108 and, to a lesser extent, with the trans-Golgi network (TGN). GPR108 knockout (KO) abolished rAAV2.5T transduction in both HeLa cells and HAE-ALI cultures. Remarkably, short-term treatment with doxorubicin (DOX) at 2 {micro}M completely restored transduction, indicating that DOX can compensate for the loss of GPR108 function. DOX enhanced rAAV2.5T transduction by 50-100-fold in wild-type HAE-ALI cultures and by over 300-fold in the GPR108-deficient cultures. Mechanistic studies demonstrated that this enhancement resulted from altered intracellular trafficking that promoted efficient vector nuclear import, rather than increased vector internalization, proteasome inhibition, or activation of the DNA damage response. Importantly, we identified that the N-terminal 15 amino acids of AAV2 VP1u as the primary determinant of rAAV2.5T dependence on GPR108 for transduction. Collectively, these findings demonstrate that productive transduction of rAAV2.5T in polarized HAE cultures depends on GPR108-mediated intracellular trafficking that limits efficient nuclear entry, and that DOX can relieve this constraint by promoting efficient vector import. SignificanceAAV2.5T is an airway-tropic vector with considerable promise for pulmonary gene therapy. We found that host factor GPR108 is required for rAAV2.5T trafficking from the TGN to the nucleus and that this step constitutes a major bottleneck to productive transduction in polarized HAE. In contrast, KIAA0319L (AAVR) plays a key role in AAV intracellular trafficking from the endosome to the TGN but not in internalization into polarized HAE during apical transduction. Transient treatment with low-dose doxorubicin (DOX, 2 {micro}M) enhanced rAAV2.5T transduction in HAE by 50-100-fold through a significant increase in vector nuclear import. Notably, DOX can overcome the transduction deficit caused by GPR108 deficiency, but not that caused by AAVR deficiency. Mechanistically, the N-terminal 15 amino acids of the VP1u confer GPR108 dependence during rAAV2.5T apical transduction of polarized HAE. DOX bypasses this requirement by promoting efficient nuclear import without affecting vector internalization, inhibiting proteasomes, or inducing DNA damage response.

microbiology↗

An allosteric pocket in KV1.3 defines a distinct chemical space for immunomodulator design

KV1.3 is a validated autoimmune drug target, yet all disclosed inhibitors converge on a narrow set of conserved binding sites, suffering from poor selectivity or clinical failure. Whether KV1.3 harbors a distinctive, druggable pocket amenable to selective targeting has remained unknown. Here we report MPiN, a highly selective, state-dependent KV1.3 inhibitor with in vivo efficacy in a mouse psoriasis model, which engages a previously uncharacterized extracellular allosteric pocket framed by the PP1-PP2 turret loops, the pore helix and the outer S5/S6 helices, acting through a bidirectional pore-to-sensor coupling that simultaneously constricts the selectivity filter and facilitates the voltage sensor toward activation. Unexpectedly, despite the extensive structural conservation of this pocket across KV1 paralogs, subtype selectivity is dictated by the peripheral residues G427 and H451, which define pocket geometry without directly contacting the ligand, thereby establishing a geometry-driven "non-contact selectivity" mechanism. By opening an unrecognized, structurally distinct chemical space on KV1.3 and redefining how selectivity is achieved within a conserved channel family, this work lays the structural and conceptual foundation for rational, structure-guided design of next-generation KV1.3 immunomodulators.

biochemistry↗

A vascular chip for disease-relevant flow shear stress topology

Vascular chips have advanced endothelial mechanobiology by enabling controlled responses to hemodynamic cues, yet disease-relevant wall shear stress (WSS) modeling remains limited. Simplified one-dimensional flow shear systems, designed mainly for physiological mechanobiology, miss the topological organization of pathological flow, whereas patient-specific vascular models capture complex hemodynamics but sacrifice generality and imaging compatibility. Here we develop a programmable vascular chip that converts disease-associated WSS topology into a physiologically parameterized experimental input. The device reconstructs a representative pathological shear-topology field on endothelial layer, supports stationary and physiologically paced oscillatory flow modes, and integrates matched unidirectional-shear references within the same chip. Using this system, we show that oscillatory WSS topology destabilizes endothelial monolayers, drives asymmetric collective emergent behaviors, impairs actin-nuclear mechanotransduction, accompanied by nuclear softening and enhanced perinuclear nanoparticle uptake. Integrated live-cell imaging, fluorescence analysis, Brillouin microscopy, and transport assays enable multimodal phenotyping across collective, subcellular mechanical and functional scales. By making disease-relevant WSS topology experimentally controllable, this vascular-chip framework bridges computational hemodynamics and experimental mechanomedicine, supporting standardized vascular disease modeling and functional screening.

bioengineering↗

Contextualized phenovectors reveal a Drosophila serotonergic circuit controlling satiety

Distinguishing whether a neural circuit genuinely controls a holistic behavioral state, rather than merely producing isolated effects, is a central challenge in neuroscience. Feeding research illustrates the problem: decades of work have reached conflicting conclusions partly because individual behavioral features are assessed in isolation. Here we establish a contextualized ethomics approach that benchmarks optogenetic circuit manipulations against natural hunger-satiety transitions, using high-dimensional behavioral tracking in Drosophila and starvation as a ground-truth intervention. Applying this framework, we find that serotonergic neurons marked by the Tryptophan hydroxylase neuronal (Trhn) enhancer are both required for and instructive of a satiety-like state, whereas other feeding-related circuits produce only fragmentary behavioral changes. Intersectional dissection localized this control to Trhn neurons of the ventral nerve cord, which act through the sugar transporter Sut2 to sense nutrient state. This work strengthens our understanding of serotonergic feeding control and provides a generalizable framework for validating circuit-state relationships.

neuroscience↗

Detecting domain-level organization in genome-wide association study summary statistics using frequency-impact-reliability profiles

Genome-wide association studies (GWAS) identify trait-associated variants but are typically interpreted through single-variant significance and locus-level peaks, treating summary statistics as collections of independent signals. Here we show that GWAS summary statistics exhibit previously unrecognized local genetic-statistical organization along genomic coordinates. We develop FIR-GWAS, a framework that integrates allele frequency, effect magnitude and statistical reliability to define frequency-impact-reliability (FIR) profiles and quantify their spatial continuity. Across EUR height GWAS, ancestry-specific datasets and eight additional human complex traits, we find consistent enrichment of same-profile adjacency and coordinate-contiguous FIR domains beyond chromosome-preserving null expectations. These patterns persist after removal of genome-wide significant variants and are reproducible across SNP- and window-based analyses. We further show that FIR-domain architecture separates genome-wide significant structured regions from isolated association peaks and identifies subthreshold domains with coherent statistical organization. FIR-domain structure is consistently associated with regulatory annotations and trait-related gene sets, and highlights biologically plausible subthreshold candidate regions. Across Arabidopsis and chicken GWAS, we observe that FIR-domain architecture is not restricted to human traits but recurs across independent association-summary landscapes. Decomposition analyses suggest that this spatial regularity arises from coordinated local continuity in allele frequency, effect size and statistical reliability. Together, these results reveal GWAS summary statistics as structured genetic-statistical landscapes rather than collections of independent signals, defining a domain-level layer of organization that complements conventional single-variant and locus-based interpretation.

genetics↗

DELPHAI predicts heterogeneous perturbation responses with learned cell fitness and gene-space retrieval

Current perturbation response modelling in single-cell transcriptomics assumes conserved cell mass and loses gene expression information to latent-space decoding. We propose DELPHAI, training a fitness network and an optimal transport network jointly without biological priors, and during inference applying a fitness-gated transport with a direct gene-space retrieval. Demonstrated across two benchmark frameworks, DELPHAI ranks first in predicting differentially expressed genes, while revealing which cell lineages a perturbation depletes.

bioinformatics↗

Annual life-history strategy hitchhikes low-light adaptation in a clonal seagrass

While life-history strategies are typically fixed within species, evolutionary transitions between perenniality and annuality can occur. In clonal seagrasses, annual and perennial plants often coexist in the same population, providing a unique model for studying the genetic basis of this transition. Two seagrass Zostera marina populations in South Korea display a striking dichotomy: shallow-water sub-populations follow a typical perennial strategy, whereas their deep-water counterparts are annual. Here we show that this shift from perenniality to annuality, potentially caused by the SAPK7 gene, is genetically coupled with the CAO gene, which is under strong positive selection for low-light adaptation. The up-regulation of the SAPK7 gene triggers early flowering in seedlings, before the formation of any lateral shoots via asexual reproduction. In this special case where the genet contains only one ramet, the post-reproductive death of the ramet is equivalent to the death of the whole genet, which explains the annual phenotype. Our findings reveal a mechanistic example where annuality overcomes perenniality by hitchhiking on a positively selected gene. Given that the ancestral state of plants is perennial, this coupling of annuality with beneficial alleles may represent one of the pathways for the repeated evolution of annual life histories across flowering plants.

evolutionary biology↗

Ecological genomics of a novel host-parasitoid arms-race in nature

Novel antagonistic interactions between species are expected to drive especially rapid coevolution. However, little is known about the genomic basis of such coevolution in nature because novel inter-specific interactions are rarely observed. Here, we study two species that recently came into first contact in Hawaii, the parasitoid fly Ormia ochracea and its cricket host Teleogryllus oceanicus. The fly locates crickets acoustically using their song, and parasitism usually results in host death. In response, protective male-silencing mutations have rapidly spread through cricket populations over the last [~]25 years, imposing novel selective pressure on flies. By integrating population genomic analyses of 358 re-sequenced flies with field surveys of selection imposed by host adaptations, we discover genomic signatures of recent selective sweeps driven by host adaptations, indicative of escalating arms-race dynamics. This evolutionary response is occurring despite severely depleted genetic variation after bottlenecks in Hawaiian fly populations. Comparative analyses suggest that the genomic substrate of modern-day, rapid counter-adaptation in O. ochracea has been under positive selection on intermediate and long-term timescales across parasitoid flies. Our findings thus support predictions of influential arms race coevolution models and illustrate the current and ancient genomic bases of counteradaptation in nature.

evolutionary biology↗

In situ structural basis for the LHCSR3-mediated photoprotection of photosystem II

Energy-dependent quenching (qE) represents a critical mechanism for photosynthetic organisms to mitigate photodamage caused by excessive light. In green algae, LHCSR3 protein plays a central role in qE, activated by thylakoid lumen acidification and associated with photosystem II (PSII) to dissipate excess energy. Despite extensive efforts, the assembly and energy dissipation mechanisms of PSII-LHCSR3 have remained unknown. Here, we present the in situ structures of the PSII supercomplex embedded in the native thylakoid membranes of Chlamydomonas reinhardtii in both quenched (LHCSR3-bound) and unquenched (LHCSR3-free) states at near-atomic resolutions. Our results demonstrate that in high-light-acclimated cells, LHCSR3 binds to PSII peripheral antenna CP26 and associates with an extra LHCII trimer (eLHCII). Structural comparison of LHCSR3 with other light-harvesting complexes reveals possible protonation-induced conformational changes in LHCSR3 and rearrangements of its two pigment clusters, which potentially serve as quenching sites to dissipate excess energy transferred from CP26 and eLHCII. Our findings provide a direct visualization of how photoprotection is spatially organized in vivo and have implications for engineering natural and artificial photosynthetic systems with more dynamic photoprotection.

plant biology↗

Preclinical translation of Neurofibromatosis type 1 (NF1) exon 17 skipping using targeted U7-SnRNA packaged into engineered AAV serotypes.

To facilitate the translation of NF1 exon 17 skipping as a mutation-specific therapy for Neurofibromatosis type 1 into in vivo testing, we have continued to develop more efficient antisense oligonucleotides (ASOs), humanized mouse models, and explored multiple delivery platforms including an adeno-associated virus (AAV)-U7-SnRNA vector approach. We evaluated both biodistribution and exon skipping efficacy of a U7-SnRNA targeting NF1 exon 17 with an SFFV-driven cassette containing T2A-linked Luciferase (Luc) and eGFP packaged in AAV-9, AAV-F and AAV-B1 capsids. We show that AAV-F is superior to AAV-9 and AAV-B1 for mouse brain delivery based on DNA transduction, GFP expression, and luciferase activity, but AAV-B1 delivers 2-4 fold more to sciatic nerve (SCN). In terms of exon skipping, AAV-F appears to induce the most skipping in liver and optic nerve (ON), while AAV-B1 mediates highest skipping in the liver, SCN, and ON. The identification of AAV serotypes that allow efficient transduction and delivery of transgenes to the mouse CNS and PNS is impactful for preclinical research in murine models of other diseases. Furthermore, this is both the first report of NF1 exon skipping efficacy in vivo and the first successful application of an U7-SnRNA for the restoration of functional neurofibromin for NF1. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=126 SRC="FIGDIR/small/734312v1_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@34b7eborg.highwire.dtl.DTLVardef@116c11aorg.highwire.dtl.DTLVardef@dfb251org.highwire.dtl.DTLVardef@341cb5_HPS_FORMAT_FIGEXP M_FIG C_FIG

genetics↗

An open-access CT-based 3D anatomical dataset of extant sharks across all major lineages

0Sharks exhibit extraordinary morphological diversity across a wide range of ecological niches, yet large-scale, high-resolution digital datasets of their internal anatomy remain limited. Here we present an open-access 3D shark anatomical repository derived from published X-ray computed tomography (CT) data, featuring manually segmented and systematically annotated models of the chondrocranium, visceral arches, axial skeleton, musculature, and viscera in standard STL format. The dataset comprises 117 individuals, representing 72 species across 25 families and all nine extant shark orders, with 115 full-body reconstructions and two head-only models. This open-access dataset offers a comprehensive resource for comparative anatomy, biomechanical simulations, evolutionary developmental biology and biomimetics research of extant sharks.

evolutionary biology↗

Critical Scaling Laws and Universality Classes in Biomolecular Condensates

Biomolecular condensates are widespread cellular self-assembled structures with essential functions. There are suggestions of condensates formed by different proteins being near criticality. However, systematic investigation of the criticality of condensates is absent, and critical exponents defining their universality class have not been found. Here, using long-time simulations, we show that condensates exhibit typical critical phenomena, including scale-free spatiotemporal correlations, critical slowing down, divergence of correlation length and dynamic scaling. From these scaling behaviors, a set of critical exponents is determined. Based on dynamic critical exponent, diverse condensates can be divided into two distinct universality classes, arising from differences in their molecular components and interaction types.

biophysics↗

Scalable ARG-free Detection of Denisovan-mediated Superarchaic Introgression Reveals Heterogeneous Patterns across Populations

Ghost introgression from unsampled hominin lineages has emerged as an increasingly important component of human evolutionary history. Recent studies suggest that deeply divergent hominin lineages may have contributed ancestry either directly to modern humans or indirectly through Denisovan introgression, while inference remains difficult due to few reference genomes, weak signal, and uncertainty in reconstructing deep genealogies. Here we show analytically and through simulations that Denisovan-mediated superarchaic introgression produces predictable shifts in local coalescent depth that can be approximated by scalable summary statistics, particularly pairwise sequence divergence, suggesting that substantial information regarding deeply divergent ancestry is preserved in sequence variations without explicit reconstruction of genealogies. Leveraging this insight, we develop DEEP (Deep ancestry Estimation through Efficient Proxies), an ARG-free neural-network framework for identifying candidate regions of superarchaic ancestry. DEEP retains detectable power at low false positive rates across a broad range of demographic parameter space, remains scalable and recovers signals from small sample sizes. Applying DEEP to Oceanians, Tibetans, and Han Chinese, we identify approximately 0.4-0.6% of genomic windows with evidence of superarchaic ancestry. Candidate regions show both substantial overlap and notable heterogeneity across populations, with repeated enrichment near the HLA locus across all populations, suggesting immune-related regions recurrently retain deeply divergent ancestry.

evolutionary biology↗

FGF Signaling Potentiates Müller Glia for Mammalian Retinal Regeneration

Muller glia possess latent regenerative potential that could be harnessed to restore retinal neurons lost to injury or disease. Although fibroblast growth factor (FGF) signaling is upregulated following retinal damage, its role in mammalian retinal regeneration remains unclear. Here, we investigated the function of FGF signaling in Muller glial reprogramming using genetic, pharmacological, and single-cell transcriptomic approaches. Activation of FGF signaling alone was insufficient to induce Muller glial proliferation in the mouse retina. However, conditional deletion of FGFR1/2 in Muller glia abolished regenerative responses induced by multiple independent pathways, demonstrating that FGF signaling is essential for regenerative competence. Mechanistically, loss of FGF signaling impaired sustained ERK/MAPK activation following injury, while MEK/ERK inhibition phenocopied the regenerative defect. Conversely, constitutive MEK activation induced limited Muller glial proliferation in the absence of injury. Although STAT3/5 inhibition synergized with Activin-A to promote robust proliferation and neurogenic gene expression, it failed to rescue regeneration in FGF-deficient Muller glia. Single-cell RNA sequencing revealed that FGF signaling suppresses multiple anti-regenerative programs, including Hes1, S1pr1, p27, NF-{kappa}B, and p300/CBP activity. Together, these findings identify FGF signaling as a critical permissive regulator of mammalian retinal regeneration that potentiates Muller glia through sustained ERK activation and suppression of transcriptional barriers to regeneration.

Developmental Biology↗

eRNAformer enables genome-wide de novo mapping of enhancer-derived RNA loci

Enhancer-derived RNAs (eRNAs) are critical regulators of gene transcription, yet their genome-wide annotation remains challenging. Here, we present eRNAformer, a multi-modal deep learning framework that integrates convolutional neural networks with transformers, specifically designed to capture long-range genetic features associated with bidirectional transcription. This approach enables de novo mapping of eRNA loci using DNA sequence and aggregated conventional RNA-seq data. When evaluated on ENCODE datasets, eRNAformer demonstrated high sensitivity and specificity in discriminating known eRNA loci from non-eRNA loci. Notably, the newly identified eRNA loci were enriched with evolutionarily constrained variants and genetic risk factors for complex diseases, and exhibit potential relevance for cancer therapy. Applied to GEO datasets, eRNAformer identified a range from 14,219 to 56,451 eRNA loci across multiple hematologic malignancies, facilitating the construction of a comprehensive eRNA database for blood cancers. We further identified and experimentally validated FOXO1e, a cluster of eRNAs located approximately 120 kb upstream of FOXO1, a known oncogene that drives t(8;21) acute myeloid leukemia (AML) preleukemic program. Together, these findings establish eRNAformer as a powerful tool for genome-wide eRNA annotation, provide a valuable resource for eRNA studies in hematologic cancers, and underscore the functional importance of eRNAs in AML pathogenesis.

bioinformatics↗

Multi-omic analysis reveals maturation programs in human pluripotent stem cell-derived cardiomyocytes during long-term culture

Human pluripotent stem cell-derived cardiomyocytes (hPSC-CMs) hold tremendous promise for disease modeling, drug discovery, and cardiac regenerative therapies. However, the immature phenotype of hPSC-CMs remains a major barrier limiting their translational utility. Here, we performed integrated multi-omic profiling to identify molecular pathways and regulatory programs associated with hPSC-CM maturation during long-term culture. hPSC-CMs were cultured for 113 days and analyzed using metabolomics, proteomics, and transcriptomics across progressive stages of maturation. Long-term culture induced widespread multi-omic remodeling, including significant changes in 142/934 metabolites, 550/3,556 proteins, and 2,892/23,309 transcripts from Day 30 to Day 113. Metabolomic analyses revealed early increases in phospholipid biosynthesis and mitochondrial beta oxidation of fatty acids from Day 30 to Day 60, suggesting metabolic priming precedes later maturation events. In contrast, proteomic remodeling was more prominent during later stages of maturation and was characterized by enhanced calcium handling and cell cycle exit. Transcriptomic analyses demonstrated progressive increases in ion channel expression, t-tubule organization, fatty acid metabolism, creatine shuttle pathways, and cell cycle arrest programs. Transcriptomic and integrative multi-omic pathway analyses identified coordinated suppression of TGF{beta}, MAPK, Wnt, and Hedgehog signaling together with activation of integrin-related, respiratory electron transport, muscle contraction, and Slit-Robo signaling pathways during maturation. Moreover, multi-omic transcription factor activity analysis prioritized a GATA4-centered network of putative cardiomyocyte maturation regulators including SOX7, SOX18, TBX2, and ZFPM2 (FOG2). Together, these findings elucidate the degree and pace of hPSC-CM maturation during long-term culture and establish an integrated multi-omic framework for identifying strategies to accelerate hPSC-CM maturation.

Cell Biology↗

Vegetation change and functional composition shifts in southwestern China during late MIS 3 to LGM

The climatic transition from Marine Isotope Stage 3 (MIS3) to the Last Glacial Maximum (LGM) had caused widespread vegetation change. Despite the dynamic equilibrium between vegetation and climate, the specific role of functional composition in vegetations response to climate change was inadequately understood. Here, we analyzed the long-term trajectories of palynological diversity, vegetation coverage and community-weighted-mean (CWM) functional traits based on EH22 pollen record (35-18 cal ka BP) from Erhai Lake, southwestern China. The results disclosed a vegetation transition from temperate deciduous broadleaf forest dominance in late MIS3 to cold coniferous and mixed broadleaved/coniferous forests in LGM. This vegetation dynamic involved functional composition shifts from competitive-driven functional convergence to partial recovery via niche differentiation during the late MIS3, and finally to a low-diversity but functional differentiation state through trait complementarity and diversification strategies during the cold LGM. Our results likely support a function-mediated climate filtering process whereby climate change regulated long-term vegetation dynamics during the MIS3-LGM transition primarily through shifts in CWM functional composition. These findings underscore the potential of pollen-based trait approaches to reconstruct ecosystem properties and advance our understanding of ecosystem change over decadal to millennial time-scales.

ecology↗

A genetic toolkit to reduce wheat immunogenicity and incidence of celiac disease

Celiac disease (CeD) is an immune-mediated condition triggered by wheat gluten in genetically predisposed individuals. The immune reaction in people with CeD is driven by particular gluten amino acid sequences, or immunogenic epitopes. Some of these epitopes elicit strong immune responses in the majority of CeD patients and are designated as immunodominant epitopes. Previous research has shown correlations between the amount of immunogenic wheat epitopes consumed and the onset of CeD, suggesting that reducing wheat immunogenic epitopes may reduce CeD incidence at the population level. Gluten consists of gliadins and glutenins, with gliadins having the majority of the immunodominant epitopes and glutenins playing a major role in dough strength and breadmaking quality (BMQ). This study used radiation-induced deletions, chemical mutagenesis, and natural variation in wheat (Triticum aestivum) to generate genetic stocks with reduced immunogenic epitope content. Most lines were developed in the wheat cultivar Summit, for which we produced a full genome assembly and annotation. We used exome capture to characterize these deletions and identify prolamins located within and outside the deletions. We combined different deletions and developed molecular markers to facilitate their deployment. For chromosome arms 1BS and 1DS, we generated two alternative lines: one lacking immunogenic epitopes for the development of CeD-safe genetic stocks for research purposes, and another retaining selected glutenins for breeding commercial lines with reduced immunogenicity and adequate BMQ. By making these non-transgenic genetic stocks publicly available, we aim to accelerate the development of wheat varieties with reduced immunogenicity and, eventually, a fully CeD-safe wheat.

plant biology↗