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Biology subjects

Han, X.

Publications and source records attributed to Han, X..

At least 55 records · Page 3Linked to original sources

A novel dephosphorylation peptide inhibits 17β-HSD1 enzyme activity in ovarian granulosa cells and breast cancer cells

Estradiol (E2), a pivotal mammalian reproductive hormone, is closely associated with estrogen-dependent diseases. 17{beta}-hydroxysteroid dehydrogenase type 1 (17{beta}-HSD1), a critical E2 synthesis enzyme, has been understudied for its post-translational regulation-despite its potential as a therapeutic target, no clinically approved inhibitors are currently available. In our investigation of porcine follicular atresia mechanisms, we identified five differentially phosphorylated residues in 17{beta}-HSD1. Using in vitro site-directed mutagenesis and transgenic mouse models carrying point mutations, we established that Ser30 and Ser274 are critical phosphorylation sites that robustly modulate 17{beta}-HSD1 enzymatic activity. We further demonstrated that activin A and insulin-like growth factor 1 (IGF-1) enhance 17{beta}-HSD1 activity by promoting its phosphorylation at these two sites. To target these regulatory residues, we designed and synthesized cell-penetrating peptides (CPPs) that specifically suppress 17{beta}-HSD1 phosphorylation. Functional assays conclusively demonstrated that these CPPs significantly suppressed 17{beta}-HSD1 activity in vitro. Notably, they also inhibited the proliferation, migration and invasion of MCF-7 cells, as well as tumor growth in a mouse model of breast cancer. Our study provides novel mechanistic insights into the regulation of 17{beta}-HSD1 and E2 synthesis, addressing a critical gap in steroid hormone biology. The identification of Ser30/Ser274 as functional phosphorylation sites and the development of CPP-based inhibitors offer both theoretical advances and translational potential, opening new avenues for the treatment of estrogen-dependent breast cancer.

cell biology↗

Insight into Malt1 activation mechanism through synergetic approach of AlphaFold, MD Simulation and NMR dynamic analyses

Mucosa-associated lymphoid tissue lymphoma translocation protein 1 (MALT1) is a central regulator of immune signalling, yet the conformational dynamics governing its activation remain poorly defined. Building on our earlier solution-state analysis of apo MALT1(PCASP-Ig3)339-719, which revealed domain flexibility, dynamic autoinhibition, and sensitivity to physiological ionic conditions, we combine NMR relaxation, molecular dynamics simulations, and ensemble modelling to delineate how solution environment reshapes its conformational landscape. Because most structural information derives from dimeric or inhibitor-bound states, the behaviour of monomeric, ligand-free MALT1 in physiological solution has remained unclear. Here, MD simulations show that low-salt conditions drive all trajectories toward a unified inactive-like ensemble, marked by inward rotation of W580 and coordinated rearrangements of Loop 2 and Loop 3, indicating that the inactive state is energetically favoured and its reactivation kinetically suppressed. Physiological ionic strength partially restores access to active-like loop motions, aligning with NMR evidence that sodium modulates catalytic readiness. In contrast, high-salt conditions rigidify the PCASP-Ig3 module, suppressing loop fluctuations and preventing active-inactive transitions, thereby strongly enriching the active-state population. Importantly, the combined MD-NMR analysis demonstrates that the NMR-initiated ensembles provide the most faithful representation of backbone and loop dynamics under low-salt conditions, capturing substrate-independent loop rearrangements, stable hydrophobic-core behaviour, and the intrinsic transitions that shape MALT1s conformational equilibrium. Together, these findings identify ionic strength as a key regulator of MALT1 conformational equilibria,, highlighting how loop dynamics and domain flexibility tune its proteolytic competence and providing a dynamic framework for future structure-based modulation of MALT1 activity.

molecular biology↗

Temporal Dynamics of High-Frequency Oscillations in Alzheimer's Disease: A Longitudinal Study in hAPP-J20 Mice

Alzheimers disease (AD) is characterized by progressive cognitive decline and increased seizure susceptibility; yet both the mechanistic and temporal links between AD and epileptogenesis remain poorly defined. In this study, we conducted a longitudinal analysis of epileptogenesis in relation to AD pathology using hAPP-J20 transgenic mice aged 9 to 27 weeks, encompassing the AD conversion phase. Wireless electroencephalography (EEG) was employed to monitor hippocampal high-frequency oscillations (HFOs), including ripples (80-200 Hz) and fast ripples (250-600 Hz), in conjunction with histological, behavioral, and neurophysiological assessments to characterize underlying neural circuit alterations. We identified three distinct epileptogenic stages in transgenic mice: (1) 9-15 weeks: emerging memory deficits, increased excitatory/inhibitory (E/I) neuron ratio, mossy fiber sprouting, and peak seizure-related mortality, alongside the initial emergence of pathological HFOs; (2) 15-21 weeks: a pronounced escalation of pathological HFO activity and persistent network hyperexcitability preceding detectable amyloid plaque deposition, indicating rapid epileptogenic progression; (3) 21-27 weeks: stabilization of HFO activity despite continued progression of amyloid accumulation, suggesting a plateau in epileptogenic remodeling amid advancing Alzheimers pathology. These findings indicate that neuronal hyperexcitability precedes amyloid plaque deposition and likely contributes to disease progression, highlighting a critical early window for therapeutic intervention in AD. Moreover, pathological HFOs hold promise as electrophysiological biomarkers of early circuit dysfunction and represent a promising target for modifying the course of AD. O_FIG O_LINKSMALLFIG WIDTH=146 HEIGHT=200 SRC="FIGDIR/small/693578v2_ufig1.gif" ALT="Figure 1"> View larger version (61K): org.highwire.dtl.DTLVardef@2e4a24org.highwire.dtl.DTLVardef@1059f53org.highwire.dtl.DTLVardef@1f1d57org.highwire.dtl.DTLVardef@bf3cde_HPS_FORMAT_FIGEXP M_FIG C_FIG Figure abstractThis study examines the temporal dynamics of epileptogenic activity and amyloid pathology in hAPP-J20 transgenic mice, a model of Alzheimers disease (AD). Top: Illustration of pre-plaque and post-plaque stages in hAPP-J20 mice, depicting neural network alterations, amyloid plaque deposition, and electrophysiological changes. The top panel shows the transition from a pre-plaque to a post-plaque state, where early hippocampal activity is stable and amyloid plaques are absent. As pathology advances, the network exhibits progressive hyperexcitability, characterized by increased pathological HFOs (ripple-IEDs, fast ripples), neuronal loss, NPY sprouting, and amyloid plaque formation. Bottom: The progression of key biomarkers and disease hallmarks, comparing hAPP-J20 transgenic (Tg) mice with non-transgenic (nTg) controls. The bottom panel quantifies biomarker progression over time, revealing that CaMK2+/PV (C/P) imbalance emerges first, followed by a peak in pathological HFOs incident rate (patho-ripple, fast ripple rate), and finally, amyloid beta plaque (A{beta} plaque). These findings establish a temporal relationship between early network hyperactivity and amyloid accumulation, underscoring the importance of targeting neural hyperexcitability as a therapeutic strategy to mitigate AD progression.

neuroscience↗

Differential Alterations of Gut Microbiota in Girls with Isolated Obesity, Isolated Precocious Puberty, and Their Comorbidity

BackgroundChildhood obesity and precocious puberty (PP) are escalating public health concerns with a significant comorbidity. Emerging evidence implicates gut microbiota dysbiosis in both conditions, yet microbial associations with their co-occurrence remain unexplored. MethodsA total of 68 girls (18 normal, 25 PP-only, 18 obesity-only, and 7 obesity-PP comorbidity) were enrolled. 16S rRNA sequencing was applied to determine gut microbiota of girls. Microbial diversity, composition, and differential abundant taxa were analyzed. ResultsWhile overall microbial diversity and community structure were similar across groups, obesity-only subjects exhibited significantly increased microbial richness (Chao1 index, P<0.01 vs. all groups), characterized by a higher Firmicutes/Bacteroidota ratio (P<0.001 vs. normal/PP), increased Proteobacteria (P<0.001 vs. normal), and enrichment of genera including Blautia, Faecalibacterium, Roseburia, Anaerostipes, Haemophilus, and Lachnospiraceae_NK4A136_group (P<0.05 vs. other groups). PP-only subjects showed reduced Verrucomicrobiota (P<0.001 vs. normal/obesity) and elevated Escherichia_Shigella (P<0.05 vs. normal). Most strikingly, the obesity-PP comorbid group exhibited a unique gut microbiota profile characterized by a dramatic depletion of Firmicutes compared to the obesity-only group (P<0.001) and a remarkable nearly 100-fold increase in Verrucomicrobiota abundance (P<0.001 vs. other groups), suggesting a distinct microbial ecotype potentially contributing to the pathophysiology of this comorbidity. ConclusionThis study delineated unique gut microbiota alterations associated with isolated obesity, isolated PP, and their comorbidity in girls. The distinct dysbiotic pattern in comorbid obesity-PP suggested complex microbiota-host interactions, providing a new microbiological perspective for understanding the mechanism of comorbidity between obesity and precocious puberty.

microbiology↗

Identifying phenotype-genotype-function coupling in 3D organoid imaging using Shape, Appearance and Motion Phenotype Observation Tool (SPOT)

Live cells in tissue are plastic, phenotypically dynamic, and modify their function in response to genetic and environmental perturbations. To unleash the power of live-cell imaging to identify phenotype-genotype-function coupling over time, we report the development of a standardized Shape-Appearance-Motion (SAM) "phenome" and SAM-Phenotype-Observation-Tool (SPOT), that act as an image-"transcriptome" and image-"transcriptome analyzer" respectively, and provide unbiased and comprehensive description of morpho-dynamic phenotypes without prior knowledge. We developed and applied SAM-SPOT to our simulated organoids database with known ground-truth and >1.6 million mouse and human organoid instances with defined genetic and chemical perturbations. SAM-SPOT can effectively and robustly characterize 3D morpho-dynamics from 2D projection videos. Combined with single-cell RNA sequencing, SAM-SPOT revealed that altered WNT signaling, but not mutant RAS or p53, predisposes intestinal organoids to irregular morphogenesis. SAM-SPOT advances biomedical discovery by empowering live-cell imaging to identify phenotype-genotype-function relationships through large-scale and cost-effective label-free live-cell imaging.

cancer biology↗

High-resolution MRI Guided Whole Mouse Brain Cell Type Atlas using Deep Learning

Cell types represent groupings of cells defined by shared anatomical and functional properties. Traditional mouse brain cell atlases rely heavily on single-cell sequencing, which provides valuable molecular detail but lacks whole-brain, isotropic resolution. Diffusion MRI (dMRI) offers a complementary approach for probing cytoarchitecture and myeloarchitecture, with quantitative metrics increasingly used as biomarkers of brain development and neurodegenerative disorders. Although prior work has linked dMRI metrics with gene expression, the capacity of dMRI to directly predict cell types remains unclear. Here, we present a deep learning framework that integrates high-resolution dMRI with three-dimensional light-sheet microscopy (LSM) registered to the Allen Mouse Brain Common Coordinate Framework (CCFv3). We investigated correlations between dMRI and spatial transcriptomics-derived cell types and generated a whole-brain cell type atlas at 10 {micro}m isotropic resolution. Together, these results establish an efficient, high-resolution strategy for brain cell atlas generation and underscore the potential of advanced imaging to illuminate cellular mechanisms of the brain.

neuroscience↗

Relative phase of membrane potential theta oscillations between individual hippocampal neurons code space

The timing of spikes dictates a neurons impact on downstream circuits and behavior, and spike timing is determined by the membrane potential (Vm). However, due to technical challenges, it has been impossible to analyze the relative timing of Vm dynamics between neurons during behavior. Using large scale membrane voltage imaging, we simultaneously recorded Vm from many individual hippocampal neurons in animals engaged in a virtual spatial task. We found that relative phase of Vm theta oscillations across neurons exhibit gradual or discrete shifts depending on spatial position. This finding extends beyond previous studies showing Vm dynamics in single neurons or spiking activity in multiple neurons, revealing previously unknown evidence for consistent coding of space by spike-independent relative phase of Vm theta dynamics between neurons.

neuroscience↗

Suppression of Glucosylceramide Synthase Reverses Drug Resistance in Cancer Cells Harbor Homozygous p53 Mutants

Glucosylceramide synthase (GCS) catalyzes ceramide glycosylation in response to cell stress that produces glucosylceramide and other glycosphingolipids. GCS overexpression is a cause of drug resistance and enriches cancer stem cells (CSCs) during cancer chemotherapy. Previous studies showed that GCS modulates expression of p53 mutants and oncogenic gain-of-function (GOF) in heterozygous knock-in cell models (TP53 R273H-/+). However, it is unclear whether GCS can modulate the effects of homozygous p53 mutations, which are common in many cancer cases. We report herewith that inhibition of GCS, via UGCG-knockout and using new inhibitor (Genz-161), effectively re-sensitizes drug resistance and diminishes CSCs in colon cancer cells carrying the homozygous p53 R273H mutation. In aggressive WiDr cells carrying TP53 R273H mutation, knockout of UGCG gene using CRISPR/Cas9 editing or inhibition of GCS with Genz-161 sensitized cancer cells to oxaliplatin, irinotecan and paclitaxel. With decreased ceramide glycosylation in lipidomic profiling, both UGCG-knockout and Genz-161 treatments substantially decreased wound healing, and diminished CSCs and tumor growth under chemotherapy. Interestingly, inhibition of RNA m6A methylation by neplanocin A reactivated p53 function and reversed drug resistance. Mechanistic investigation revealed that GCS inhibition downregulated METTL3 expression and repressed RNA-m6A modification on mutant p53 R273H effects. Altogether, our findings demonstrate that ceramide glycosylation promotes METTL3 expression and RNA m6A methylation in response to drug-induced stress, thereby promoting mutant p53 expression and associated GOF. Conversely, inhibition of GCS can diminish CSCs and drug resistance via reduction of m6A modification and reactivation of p53 function. GCS inhibition is an achievable approach for mutant cancer treatment.

cancer biology↗

Studying macromolecular composition in cell-cell interfaces using 3D membrane reconstitution systems

During direct communication between two cells, the plasma membranes of each cell serve as a platform for ligand-receptor interaction initiating downstream signalling cascades. In immune cell signalling, this cell-cell interface - the immune synapse - is highly spatiotemporally organized. Multiple stimulatory and co-stimulatory signals need to be integrated over time to ensure proper immune cell function. This process is still not fully understood given the vast complexity of interactions between proteins, lipids, glycocalyx and associated cortical actin cytoskeleton. To examine the impact of a single component, the use of model membrane systems has increased. Here, we developed a fully artificial system to study the interface between two vesicles and a semi-artificial one between a live cell and a vesicle to reconstitute 3D contacts. We investigated the distribution and reorganization of immune cell proteins at artificial and semi-artificial contacts. Using our vesicle-vesicle system, we show the enrichment and depletion of different proteins in the synapse. Using the cell-vesicle system we showed how different peptides with varying affinity presented by the same MHC class I affect T cell activation. We further explored the distribution of glycocalyx elements at the cell-cell contact and showed differential partitioning of different sugar moieties in the interface. While we focused on the T cell interface here, our model systems are powerful tools to study distribution and reorganization of lipids, proteins and glycocalyx components at any cell-cell contact.

biophysics↗

Modified self-amplifying RNAs mediate robust and prolonged gene expression in the mammalian brain

Facile, non-genomic integrating gene delivery technologies are lacking for rapid onset and prolonged protein expression in the brain. Here we report the protein expression and cell type tropism for an advanced messenger ribonucleic acid (mRNA) technology, modified 5-hydroxymethylcytidine (hm5C) self-amplifying ribonucleic acid (saRNA), when injected into the mouse brain or applied to ex vivo human cortical brain slices. saRNA, encoding fluorescent proteins, encapsulated in an LNP formulation comprising ALC-0315 (present in Comirnaty(R)) efficiently mediates long-lasting protein expression in mouse brain cells beyond five weeks, with detectable expression in some neurons at three months. hm5C saRNA substantially outperforms N1m{Psi} mRNA. In addition to transfecting astrocytes and neurons at the injection site, hm5C saRNA-LNPs label neurons retrogradely. Excitingly, hm5C saRNA-LNPs afford protein expression in human cortical brain slices, with expression emerging within 24 hours and lasting beyond 76 days. Modified saRNA provides new opportunities for mechanistic neuroscience research and therapeutic development.

neuroscience↗

Neuroprotective function of astrocyte p75NTR in Alzheimer's Disease through regulation of cholesterol metabolism

Reactive astrogliosis in Alzheimers Disease (AD) involves profound changes in the morphology, metabolism and secretion profile of astrocytes, but whether astrogliosis is beneficial or harmful, and under which conditions, remain open questions. Here we report an unexpected neuroprotective function of death receptor p75NTR in astrocytes through its ability to regulate cholesterol metabolism. AD knock-in mice expressing signaling-deficient p75NTR variants in astrocytes showed enhanced A{beta} burden, brain histopathology and cognitive impairment, even when variants were introduced late in the disease process. Astrocytes expressing dysfunctional p75NTR variants showed impaired uptake of A{beta} oligomers, and their conditioned medium enhanced A{beta} production in AD neurons. p75NTR signaling negatively regulated astrocyte cholesterol biosynthesis and secretion, while cholesterol depletion restored A{beta} uptake in mutant astrocytes and reduced A{beta} production in AD neurons. In agreement with the role of astrocyte-derived cholesterol, statin treatment reverted the effects of astrocyte p75NTR mutants on AD neuropathology. Thus, although neuronal p75NTR has been widely recognized to amplify AD, astrocyte p75NTR plays a neuroprotective role.

neuroscience↗

Atlas of Breast Cancer in Chinese Young Women Revealed by Single-cell RNA and ATAC Sequencing

Young women with breast cancer (YBC, age[<=]40) are particularly prevalent in Asian. YBCs usually show more aggressive pathology and poorer outcomes than non-young patients. However, YBCs are underrepresented in current BC risk models, with their tumor intrinsic subtypes and microenvironments lacking a systematic elucidation at the single-cell level, thereby limiting the young-specific therapies. We established a single-cell Chinese YBC landscape baseline, including 246,659 cells, by applying scRNA-seq and scATAC-seq on untreated patients. We developed a cross-modal feature selection algorithm to construct a young-intrinsic subtype classifier BCYtype, outperforming existing classifiers in pseudobulk, cellular, and external cohorts. Comparative analyses with non-young samples revealed a direct differentiation trajectory from mammary stem cells to mature luminal cells. Pseudotemporal analysis also demonstrated that tumor cells in younger patients undergo earlier carcinogenesis. Mechanistically, we found that CDH1 interacts with pTex and NKT cells, serving as a young-specific marker and a potential therapeutic target for HR+ young patients. The interaction between exhausted T cells and antigen-presenting cells revealed NKG2A as a candidate therapeutic target for triple-negative breast cancer in young patients.

cancer biology↗

Single-Cell RNA and ATAC Sequencing Reveal Cellular Heterogeneity and Chromatin Accessibility Dynamics in Young Chinese Breast Cancer Patients across Pre- and Post-Neoadjuvant Therapy

Young breast cancer (YBC) patients (age [&le;] 40) exhibit aggressive features and poor prognosis, while facing complex needs including breast-conserving surgery and fertility preservation. Neoadjuvant therapy (NAT) is important for tumor downstaging and breast-conserving surgery in YBC treatment, but the NAT response mechanisms in YBC patients remain unelucidated. Here, we analyzed pre- and post-NAT samples from Chinese YBC patients using scRNA-seq and scATAC-seq. We found that NAT reshaped cellular heterogeneity in the tumor microenvironment (TME), reducing epithelial and T cells while increasing endothelial cells and fibroblasts. Residual cancer cells showed enriched epithelial-mesenchymal transition (EMT) and stromal remodeling programs. NAT responders had fewer luminal-like cells and retained basal-like cells in an early hybrid EMT state, whereas non-responders maintained both populations with late hybrid EMT. We identified therapy-resistant genes and motifs (e.g., VTCN1, PROM1, MZB1, Fox family) and linked CXCL13 upregulation to poor NAT response and tumor-specific T-cell expansion. Cell-cell communication analysis revealed NAT reprograms the TME by suppressing VEGF and TNF signaling in basal cells, while residual luminal cells transmit EGFR and CD47-SIRPA signals.

cancer biology↗

Structured Sampling of Molecularly Classified Mossy Fiber Inputs by Cerebellar Granule Cells

The cerebellar granule cell layer receives mossy fiber inputs from diverse brain regions, yet the principles governing how individual granule cells sample distinct types of inputs remain poorly understood. Using a volumetric correlated light and electron microscopy (vCLEM) dataset from an adult female mouse cerebellum, in which VGluT1-positive and VGluT1-negative mossy fiber terminals are molecularly distinguished, we reconstructed granule cell and mossy fiber connectivity to examine input selection rules. We constructed spatially constrained null models to simulate sampling during adulthood and development. Granule cell-centered analysis showed that granule cells shared less innervation from the same mossy fiber than expected by chance. Moreover, subpopulations of granule cells preferentially sample either VGluT1-positive or VGluT1-negative mossy fibers. In contrast, mossy fiber-centered analysis showed that individual terminals distributed their outputs across granule cells in a pattern consistent with random sampling. However, sampling in the adult state was more selective than in developmental simulations. Together, our findings demonstrated structured, non-random sampling of cerebellar VGluT1-positive and VGluT1-negative mossy fiber inputs and provide a framework for understanding how granule cells integrate molecularly distinct inputs to support cerebellar computation.

neuroscience↗

Water body size shapes body size evolution via subgenomic selection in allopolyploid fish

Allopolyploidization is a major force in species evolution, and studying allopolyploids in diverse environments provides insights into their genetic mechanisms. Here, we investigated how water body size variation influences body size in allopolyploid fish. We used a nascent allopolyploid lineage derived from goldfish (Carassius auratus) and common carp (Cyprinus carpio) and established two populations in small and large water bodies for two generations. Genomic, transcriptomic, and epigenomic analyses revealed that the larger population had higher genetic diversity in subgenome R, while the smaller population had higher diversity in subgenome C. Potential selection regions were associated with growth regulatory genes, suggesting a role for gene regulation in body size adaptation. Dynamic gene expression patterns in various tissues indicated potential mechanisms underlying muscle development and adaptation to smaller water bodies. Furthermore, selection regions were linked to changes in chromatin accessibility, with subgenome R being more susceptible to these changes during genetic divergence. Our findings demonstrate that water body size variation drives body size in allopolyploid fish through subgenomic selection, impacting genetic variation, gene regulation, and epigenetic mechanisms.

genomics↗

Metagenomic Insights Into Microbial Controls of Carbon Cycling in Alpine Soils

Alpine riparian zones span topographic gradients from wet soils on the plain near streams to drier soils on adjacent slopes. These differences in soil moisture are generally associated with shifts in soil redox state from anoxic on the plain to oxic on the slope. In anoxic plain soils, soil organic carbon (SOC) may accumulate due to thermodynamic constraints on microbial activity. Here, we used shotgun metagenomics to examine how microbial diversity and functional potential varies across differing redox conditions on plain and slope soils in two catchments in the Swiss Alps. We complemented these analyses with soil physicochemical characteristics and information on the chemical composition of organic matter. Plain soils had higher SOC stocks and higher relative abundance of phenol compounds relative to slope soils, consistent with SOC preservation and preferential mineralisation of easily degradable organic compounds under anoxic conditions. Microbial communities in plain soils further exhibited greater taxonomic and functional diversity, including an increased potential for anaerobic respiration pathways. Genes for nitrate, iron, and sulfate reduction were linked to Chloroflexota, Acidobacteria, and Desulfobacterota phyla, respectively. Based on NMDS correlations, electron accepting capacity, calcium content, and pH shaped microbial community composition. Slope soils, by contrast, supported less diverse microbial communities, determined mainly by electron donating capacity and clay content. Our work demonstrates how soil redox conditions and microbial functional potential shape carbon cycling across landscape positions in alpine riparean zones. This mechanistic understanding is critical to anticipate changes in carbon cycling in alpine ecosystems in a changing climate.

microbiology↗

High-Speed AFM Reveals IDR-Mediated Structural Plasticity of EML4-ALK Modulated by ALK Inhibitors

EML4-ALK is a key oncogenic driver in lung cancer, but variant-specific chemoresistance limits the efficacy of current ALK inhibitors. Because the N-terminus contains an intrinsically disordered region (IDR), how ALK inhibitors affect the structure and dynamics of full-length EML4-ALK remains unclear. Here, using high-speed atomic force microscopy (HS-AFM), we visualize the overall structures of three full-length EML4-ALK variants (v1, v3, and v5) at the single-molecule level. We identified a transient globular subdomain (residues 191-217) within the v3 IDR that contributes to distinct oligomerization patterns. Notably, ALK inhibitors compact the IDR subdomain and reduce oligomerization, whereas this effect is abolished by the resistance mutation ALKG1202R, suggesting that ALK inhibitors not only affect kinase activity but also modulate IDR dynamics. Our findings shed new light on the structural regulation of EML4-ALK and provide a foundation for developing next-generation targeted therapies that account for IDR-driven molecular behavior. TeaserHigh-speed AFM revealed the full-length EML4-ALK structures and their IDR-mediated plasticity caused by ALK kinase inhibitors

cancer biology↗

Temporal foundation model unveils ancient HepatitisB virus evolution

Since ancient hepatitis B virus (HBV) sequencing data are scarce and incomplete, the evolutionary dynamics of HBV have long remained enigmatic. This data gap hinders a comprehensive understanding of HBV genetic variations, evolutionary trajectories, and host interactions in different historical periods, preventing insight into its long-standing co-evolutionary relationship with humans. In this study, we developed a sequence-based generative foundational model, ViraChron (Viral Chronology Foundation Model), that integrates multi-scale temporal information to compensate for the lack of ancient HBV data. We confirmed the robustness of our model through sequence identity, phylogenetic, and recombination analyses. ViraChron enabled the identification of fixed mutations specific to HBV genotype A, demonstrating that HBV acquires survival advantages through mutations that are ultimately fixed by natural selection. Our model outperforms the original baseline in terms of sequence completion, achieving significantly higher accuracy. The model significantly reduced data acquisition time from 80 hours to 5.4 minutes per HBV genome, providing reliable, high-quality data for 7 new HBV genomes from specific archeological sites. ViraChron overcomes previous limitations, obtaining high-quality genomic data from samples over ten thousand years old, thereby facilitating a systematic understanding of viral evolution and its biological characteristics.

paleontology↗