Biology subjects

Zhang, J.

Publications and source records attributed to Zhang, J..

At least 343 records · Page 19Linked to original sources

bioRxiv2026

Transplantation of Human IPSC-derived Microglia Ameliorates Neuropathology and Circuit Dysfunction in Progranulin-Deficient Mice

Frontotemporal dementia (FTD) is a major cause of early-onset neurodegeneration characterized by progressive behavioral, emotional, and cognitive decline. Progranulin haploinsufficiency, a leading genetic cause of familial FTD, disrupts lysosomal function, lipid metabolism, autophagy, and neuroimmune signaling across multiple cell types. Increasing evidence indicates that microglia are particularly sensitive to progranulin loss, exhibiting elevated complement activation that contributes to TDP-43 proteinopathy and neuronal dysfunction. Here, we investigate the biological role of restoring progranulin exclusively within microglia by transplanting human induced pluripotent stem cell-derived microglia (iMG) into progranulin (Grn)-deficient mice. We find that wild-type, but not Grn-deficient, human iMG restore brain-wide progranulin levels, normalize microglial transcriptional states, and ameliorate pathological, functional, and behavioral phenotypes associated with progranulin loss. Because microglia are the only source of progranulin in this system, these findings demonstrate that microglial progranulin is sufficient to restore key aspects of cellular, circuit, and behavioral homeostasis in a progranulin-deficient FTD model. More broadly, this work highlights a central, microglia-intrinsic role for progranulin in maintaining brain function and provides a framework for dissecting microglia-specific mechanisms across FTD and related neurodegenerative disorders. One Sentence SummaryOur study demonstrates that xenotransplantation of wild-type human iPSC-derived microglia into progranulin-deficient mice mitigates core neuropathological, network-level, and behavioral features of Frontotemporal Dementia.

neuroscience↗

bioRxiv2026

My Gut Feels Your Pain - The Social Transfer of Pain Remodels the Gut Microbiome

BackgroundThe "social transfer of pain" is a phenomenon where a mouse experiencing injury-induced hyperalgesia can trigger hyperalgesia in a mouse briefly housed in the same environment ( bystander). The peripheral mechanisms underlying social transfer of pain in mice are not yet well described. As gut microbes are associated with social interactions, pain states, and pain attenuation via the gut-brain axis, we hypothesized that the bystander gut microbiome may respond to the social transfer of pain. MethodsTo induce the social transfer of pain, complete Freunds adjuvant (CFA) was injected into the hindpaw of a mouse which then underwent social interaction with a bystander for one hour. Mechanical sensitivity was assessed using the Von Frey mechanical sensitivity test. Stool samples and mechanical thresholds were taken prior to social interaction, 4 hours post-social interaction, and 24 hours post-social interaction. Metagenomic sequencing characterized the taxonomic and predicted functional gene response of the gut microbiome to CFA-induced pain, social transfer of pain and control groups. ResultsAt 4 hours post-social interaction, bystander animals experienced increased mechanical sensitivity comparable to CFA-injected animals and significantly lower than controls, indicating enhanced hyperalgesia. Compared to baseline, fecal community composition analyses at 4 hours and 24 hours post-interaction showed significant differences in Unweighted Unifrac in both CFA-injected and bystander animals but not in controls. Differential abundance analyses using Maaslin2 identified significant increases in the relative abundances of short chain fatty acid producing taxa like Lachnospiraceae, Ruminococcaceae, Oscillospiraceae and decreases in commensal mouse gut microbes like Muribaculaceae from baseline to 4 hours and 24 hours post-interaction in both bystanders and CFA-injected animals but not in controls. Functional analysis revealed increased abundance of pathways related to short-chain fatty acid production including pyruvate to butanoate and L-lysine fermentation to acetate and butanoate. The altered gut microbiome of bystanders strongly resembles that observed in CFA-injected animals at 4 hours and 24 hours post-injection, with the addition of a unique bystander bloom in several species of Lachnospiraceae. ConclusionsThe changes in the gut microbiome of bystander animals suggest that the social transfer of pain alters bystander peripheral physiology. These results are the first evidence of the potential for such a link.

microbiology↗

bioRxiv2026

Metabolic blueprints of monocultures enable prediction and design of synthetic microbial consortia

Synthetic microbial ecology aims at designing communities with desired properties based on mathematical models of individual organisms. It is unclear whether simplified models harbor enough detail to predict the composition of synthetic communities in metabolically complex environments. Here, we use longitudinal exometabolite data of monocultures for 15 rhizosphere bacteria to parametrize a consumer-resource model, which we use to predict pairwise co-cultures and higher order communities. The capacity to artificially "switch off" cross-feeding interactions in the model demonstrates their importance in ecosystem structure. Leave-one-out and leave-two-out experiments demonstrate that pairwise co-cultures do not necessarily capture inter-species interactions within larger communities and broadly highlight the nonlinearity of interactions. Finally, we demonstrate that our model can be used to identify new sub-communities of three strains with high likelihood of coexistence. Our results establish hybrid mechanistic and data-driven metabolic models as a promising and extendable framework for predicting and engineering microbial communities.

systems biology↗

bioRxiv2026

NFATc3 enhances DREAM complex-driven tumorigenesis

The nuclear factor of activated T cells (NFAT) transcription factors, activated by calcium-calcineurin signaling, regulate various cellular processes, including cell differentiation, angiogenesis, and immune cell activation. Nonetheless, their roles in tumor cells remain largely undefined. The dimerization partner, RB-like, E2F, and multi-vulval class B (DREAM) complex orchestrates cell quiescence and proliferation. Pharmacological mimicry of DREAM-activated transcriptional signatures identified two calcium signaling inhibitors that suppressed lung adenocarcinoma (LUAD) cell proliferation. Among the five NFAT members, NFATc3/NFAT4 was predominantly expressed in LUAD cells and required for both LUAD cell proliferation and DREAM target gene transactivation. NFATc3 was enriched at DREAM target promoters and associated with the DREAM complex, possibly via LIN9, a scaffolding protein of the Multi-Vulva class B (MuvB) core proteins. These findings reveal an unexpected role for NFATc3 in promoting DREAM target gene transactivation and suggest the calcium-NFATc3 axis as a molecular target in LUAD, enriched by DREAM complex activation.

molecular biology↗

bioRxiv2026

MOV10 inhibits SADS-CoV replication by enhancing TRIM24-mediated K63-linked TRAF3 ubiquitination and this inhibition is antagonized by viral N protein

The global outbreak of SARS-CoV-2 has resulted in a renewed focus on coronaviruses with the potential for cross-species transmission and mutation risks. In particular, swine acute diarrhea syndrome coronavirus (SADS-CoV), potentially originating from intermediate horseshoe bat (Rhinolophus affinis), is a novel coronavirus that causes acute diarrhea, vomiting, and high mortality in suckling piglets. Innate immunity plays a crucial role in defending the host against invading pathogens. Previous studies have identified several host factors that inhibit SADS-CoV replication through innate immunity; however, research on SADS-CoV remains insufficient compared to that on other coronaviruses. In this study, the host factor Moloney leukemia virus 10 protein (MOV10) inhibited SADS-CoV replication by promoting interferon (IFN) production. Mechanistically, MOV10 exerted its antiviral effect primarily through its N-terminal domain, which regulated the TNF receptor-associated factor 3 (TRAF3)-mediated innate immune pathway. Specifically, we reveal that MOV10 enhanced tripartite motif-containing 24 (TRIM24)-mediated K63-linked ubiquitination of TRAF3, thereby promoting IFN production and inhibiting SADS-CoV replication. Furthermore, we identified the strategies by which SADS-CoV evaded innate immunity. The viral N protein inhibited the antiviral effect of MOV10 by disrupting interaction between MOV10 and TRAF3, and by promoting K48-linked polyubiquitination of TRAF3, leading to TRAF3 degradation via the ubiquitin-proteasome pathway. Collectively, our findings reveal the role of MOV10 in antiviral immunity and how SADS-CoV evades host immune defense.

molecular biology↗

bioRxiv2026

Early multi-omic signatures and machine learning models predict cardiomyocyte differentiation efficiency and enable robust hPSC differentiation to cardiomyocytes

Protocols for generating cardiomyocytes (CMs) from human pluripotent stem cells (hPSCs) have existed for nearly two decades, yet manufacturing variability in terminal cell identity continues to limit clinical translation. To uncover the origin of fate divergence during hPSC-CM differentiation, we performed temporal transcriptomics, proteomics, and metabolomics of high and low efficiency differentiations. We identified significant early multi-omic divergence between differentiation batches and key pathways underlying fate divergence at critical differentiation stages included Wnt, MAPK, and glucose metabolism. Machine learning models trained on early candidate gene markers predicted hPSC-CM purity better than models using canonical cardiac development markers. Lastly, multi-omic insights informed perturbations, including Wnt and MAPK inhibition, which produced higher CM purities and yields. Our results showcase multi-omic analysis coupled with machine learning models as a powerful tool to identify cell fate determinants and enable robust manufacturing of complex cell products such as hPSC-derived cell therapies. TeaserMulti-omic analysis of hPSC-CM differentiation efficiency reveals early predictive features and enables robust differentiation.

cell biology↗

bioRxiv2026

Pan-cancer silencer transcription atlas reveals leukemia silencer hijacking FOXP1 to enhance MYC oncogene

Numerous non-coding regulatory elements have been identified in the human genome. However, our understanding of silencers remains largely incomplete. Here, we proposed the concept of silencer transcriptional activity (STA) to investigated silencers from a new perspective using >20,000 transcriptomes. We demonstrated that lower STAs predicted better patient outcomes in most cancers, and a subset of STAs distinguished tumors from noncancerous tissues for most cancer types. Importantly, we discovered a silencer-linked RNA (slRNA) of a leukemia cell-specific silencer (LeSSi). Knocking down (KD) of the slRNA significantly decreased leukemia cell viability and migration and increased cellular apoptosis. Furthermore, the direct link and functional similarity between LeSSi and slRNA were established by CRISPR/Cas9 knocking out (KO) of LeSSi. Mechanistically, the slRNA hijacked FOXP1, which functions here both as a known transcription factor (TF), and more importantly, as a novel RNA binding protein (RBP), thereby preventing FOXP1 from binding to the promoter of proto-oncogene MYC and subsequently promoting MYC transcription. Collectively, our work provides insights into the functions of silencers in cancer and identified a slRNA hijacking FOXP1 to enhance MYC expression in leukemia cells.

genomics↗

bioRxiv2026

Unlocking Ultrasensitive Phosphoproteomics of Nanoscale Samples: A Rapid IMAC Enrichment Platform Using Ti-PAN Tip

Protein phosphorylation is a critical mechanism in cellular signal transduction, playing essential roles in various cellular processes. However, significant challenges of their low abundance, high dynamic range, and complexity are especially prominent for accurate phosphoproteome analysis in nanoscale samples, such as oocytes, where misregulation of phosphorylation can lead to infertility. In this study, we developed a novel phosphopeptide enrichment tip (Ti-PAN) using highly hydrophilic textile PAN fibers, enabling rapid in-situ one-tip IMAC enrichment in just 8 minutes. This approach not only minimizes sample loss but also enhances analytical sensitivity and is easily adaptable to automation for high-throughput applications, demonstrating excellent recovery (>94%) and outstanding selectivity for phosphopeptides with remarkable resistance to interference up to 1:5000. By integrating it with a compatible sample preparation workflow based on n-dodecyl {beta}-D-maltoside (DDM) lysis with the high-sensitivity MS data acquisition method of turboDDA, comprehensive mapping of phosphosites in microsamples was achieved, including those from the ERK interactome, mouse brain slices, and oocytes. Using this approach, we identified 2,139 to 11,296 phosphosites across 645 to 2,168 phosphoproteins from samples ranging from 100 to 100,000 cells. Furthermore, we successfully applied this strategy to analyze the phosphoproteome of mouse oocytes at different developmental stages, using as few as 5 oocytes per sample. This led to the identification of 2,709 phosphosites on 701 phosphoproteins, revealing several key kinases involved in meiotic resumption and oocyte maturation, including STK4 (serine/threonine kinase 4) and DYRK3 (dual specificity tyrosine phosphorylation-regulated kinase 3). To our knowledge, this represents the deepest coverage of phosphoproteomes from such minimal oocyte material reported to date, offering valuable mechanistic insights into developmental controls during oocyte maturation. This Ti-PAN-based method provides a robust, versatile, and automatable platform for large-scale, highly sensitive phosphopeptide enrichment, substantially advancing phosphoproteomic studies in complex biological systems.

biochemistry↗

bioRxiv2026

Disrupted dynamics of brain structure function coupling link genetic risk of Alzheimer's Disease and aging to cognitive decline in 34,067 adults

AbstractUnderstanding how a stable structural connectome supports flexible cognition, especially in aging, is a fundamental question in neuroscience. While static structure-function coupling (SFC) is well-studied, the dynamic decoupling of functional activity from structural constraints--dynamic SFC (DSFC)--remains poorly understood. Leveraging MRI data from 34,067 UK Biobank participants (ages 45-82), we characterized the distinct roles of SFC and DSFC in aging, cognition, and health. We found that SFC and DSFC followed spatially divergent aging trajectories: SFC declined primarily in sensorimotor systems, whereas DSFC decreased most prominently in higher-order networks. Both SFC and DSFC in higher-order networks were positively correlated with cognitive performance (e.g., fluid intelligence). However, the associations with mental and physical health diverged between the two measures: reduced DSFC was predominantly linked to health burdens in high-order default/limbic networks, whereas weakened SFC was primarily associated with health burdens in low-order sensory-motor networks. Genetic analyses revealed that Alzheimers risk, specifically APOE {varepsilon}4 dosage, significantly reduced DSFC in higher-order cognitive networks and SFC in visual cortex. Mediation analyses further demonstrated that aging and APOE {varepsilon}4-linked cognitive decline were mediated via visual SFC and ventral attention DSFC. These findings position static and dynamic coupling as complementary mechanisms: static SFC preserves network robustness, while dynamic SFC enables transient reconfiguration for complex integration. Together, our results highlight these dual mechanisms as crucial for maintaining cognitive flexibility, providing potential biomarkers for age-related neurodegeneration.

neuroscience↗

bioRxiv2026

All-in-one Single-Cell Proteomic Analysis of Protein Alterations in Human Oocytes Undergoing in Vitro Aging

Study questionWhat specific proteomic changes and molecular markers associated with in vitro aging occur in human oocytes? Summary answerSingle-cell proteomic analysis revealed the protein dynamics during the in vitro aging of oocytes. Subsequent functional analysis highlighted key biological processes affected in aged oocytes and identified several genes as candidate key factors for oocyte and early embryo quality. What is known alreadyOvulated oocytes undergo a time-dependent degradation process if fertilization does not occur within a specific window. This aging process leads to morphological, molecular, and epigenetic changes that can compromise oocyte quality and subsequent embryo development. In previous studies, transcriptome sequencing in humans and mice has revealed serial changes in aging oocytes including oxidative stress, mitochondrial dysfunction, DNA damage, and alterations in cell cycle regulation. These changes can lead to apoptosis, chromosomal abnormalities, and epigenetic modifications, all of which negatively affect oocyte quality. However, research regarding protein level changes and regulatory mechanisms in human oocytes during in vitro aging remains unclear. Study design, size, durationUtilizing "All-in-one" single-cell proteomics, we investigated the protein expression levels in human oocytes at the germinal vesicle (GV) stage and metaphase II (M II) stage following 24 hours of in-vitro aging. We analyzed four groups of oocytes: fresh GV (n=8), in vitro-aged GV (n=9), fresh M II (n=11), and in vitro-aged M II (n=11). This approach allowed for a detailed comparison of proteomic changes associated with in vitro aging in oocytes at different developmental stages. Participants/materials, setting, methodsOocytes at GV and MII stage were collected for "All-in-one" single-cell quantitative proteomic respectively. Differentially expressed genes were analyzed using the R package DESeq2 or DEP (filtered with q-value[≤]0.05 and Foldchange[≥]1.5). EGSEA package was used to perform pathway analysis. Main results and the role of chanceThe proteomic analysis of fresh and in vitro-aged human GV and MII oocytes identified 3,268 proteins. In GV oocytes, compared to fresh samples, 73 proteins were upregulated and 90 were downregulated. Gene Ontology (GO) enrichment analyses revealed these DEPs were involved in key biological processes such as lysosome organization, spindle assembly and oxidative stress response. Gene Set Enrichment Analysis (GSEA) revealed a significant down regulation of genes associated with protein translation initiation and methylation pathways, while those in the apoptosis mitochondrial changes were upregulated. In MII oocytes, 63 proteins were upregulated and 69 were downregulated. GO analysis highlighted their involvement in cytoplasmic translation, ribosome biogenesis and oocyte development. GSEA showed that aged MII oocytes exhibited a downregulation of gene sets in protein translation but an upregulation in membrane fusion pathways compared to fresh oocytes. Furthermore, we identified proteins with consistent expression trends across both GV and MII stages, including MRFAP1 and MT2A, as candidate biomarkers for human oocyte aging in vitro. Limitations, reasons for cautionSingle cell proteomic techniques may not fully capture the dynamic range of proteins present within oocytes, leading to potential underrepresentation of low-abundance proteins that could play crucial roles. Furthermore, the heterogeneity within oocytes introduces variability that can obscure the identification of consistent proteomic signatures associated with oocyte quality or aging. Wider implications of the findingsThese findings not only provide an understanding of the protein changes underlying the in vitro aging of human oocytes but also offer potential biomarkers and intervention targets for future research and clinical applications in assisted reproductive technologies. Study funding/Competing interest(s)This project received funding from the National Natural Science Foundation of China (NO.82471693, 22574175); the Natural Science Foundation of Hunan Province (NO. 2024JJ4100), the Hunan Provincial Grant for Innovative Province Construction (2019SK4012), the Hundred Youth Talents Program of Hunan Province (to S.Z.), the Major Scientific Program of CITIC Group (No. 2023ZXKYB34100) and Scientific Research Foundation of Reproductive and Genetic Hospital of CITIC-XIANGYA (YNXM-202313, YNXM-202319, YNXM-202211). The authors have no conflicts of interest to declare.

developmental biology↗

bioRxiv2026

Diverse bacterial pattern recognition receptors sense the conserved phage proteome

Recognition of foreign molecules inside cells is critical for immunity across all domains of life. Proteins of the STAND NTPase superfamily1,2, including eukaryotic NOD-like receptors (NLRs), play a central role in this process3,4. In bacteria and archaea, although several STAND families sense phage proteins5-9, their functional diversity remains largely unexplored. We conducted a systematic phylogenetic analysis of prokaryotic STAND NTPases and identified at least 90 structurally distinct families associated with antiviral defense. We first show that the uncharacterized Avs7 family recognizes the major capsid protein (MCP) of tailed phages. Three cryo-EM structures of Salmonella enterica Avs7 reveal an asymmetric, butterfly-shaped tetramer that assembles stepwise via large, MCP-induced conformational changes, incorporating bacterial elongation factor Tu (EF-Tu) as a structural component that enhances defense. Using genetic screens with a library of 687 phage genes, we further show that 13 additional STAND families sense 13 conserved phage proteins, encompassing most of the core structural and replicative components of tailed phages. These include two distinct MCP-sensing families--Avs8 (PD-{lambda}-4) and Avs10 (Erebus/Hypnos/bNACHT64)--and 11 others (Avs11-21) recognizing the portal, portal adaptor, tail nozzle, head-tail connector, tail terminator, tail tube protein, tail assembly chaperone, tape measure protein, DNA polymerase, helicase/RecA-type ATPase, and single-stranded DNA annealing protein, respectively. Together, our findings highlight structurebased pattern recognition and host factor repurposing as fundamental strategies of bacterial immunity.

molecular biology↗

bioRxiv2026

Cryo-EM reveals the structural basis of subtype-specific, noncompetitive inhibition of the human P2X3 receptor

P2X receptors are ATP-gated cation channels, and the P2X3 subtype plays crucial roles in peripheral sensory neurons, including in chronic pain and chronic cough. Accordingly, P2X3 has attracted substantial interest as a therapeutic target. Gefapixant, a negative allosteric modulator (NAM) of P2X3, has been approved in some countries for the treatment of chronic cough; however, its limited selectivity for P2X3 homomers over P2X2/P2X3 heteromers is associated with taste disturbance as a prominent adverse effect. These limitations have motivated the development of next-generation NAMs with improved subtype selectivity, but their subtype-specific allosteric inhibition mechanisms are unclear. Here, we report the cryo-EM structure of the human P2X3 receptor in complex with ATP and the P2X3-selective next-generation NAM sivopixant, an investigational drug. Sivopixant binds to an allosteric site at the portal of the central pocket in the extracellular domain, and structure-based mutational analysis by electrophysiology identifies key residues required for sivopixant-dependent inhibition of human P2X3. Comparisons with P2X structures from other subtypes, together with gain-of-function mutants, define a structural basis for subtype-selective allosteric inhibition of the P2X3 receptor. Furthermore, structural comparisons with apo and ATP-bound open states of P2X3 receptors, together with molecular dynamics simulations, revealed that sivopixant expands the upper body domain to suppress the lower-body movements required for channel activation, thereby preventing channel opening even in the presence of ATP.

biophysics↗

bioRxiv2026

Coordinate Up-regulation of Both TK1 and TS Expression in Cycling Cells: Mechanistic Basis and Implications for Dual-Targeted Cancer Therapy

Our previous study [2] has revealed that various types of cycling cells undergo rapid proliferation and division. Cycling cells can be broadly categorized into two groups: cycling immune cells (CICs) and cycling non-immune cells (CNICs). Cancer cells represent a special type of cycling cells. Based on a set of 26 marker genes, we proposed a simple method for the rapid identification of cycling-cell types. Comparisons across cycling-cell types uncovered novel gene-regulatory mechanisms underlying the cell cycle, development, and differentiation. Notably, we discovered that the coordinate up-regulation of both TS and TK1 expression is indispensable for securing a robust deoxythymidine triphosphate (dTTP) supply required for DNA replication in cycling cells. The compensatory interplay between salvage and de novo synthesis provides a plausible explanation for resistance to 5-fluorouracil (5-FU), a TS inhibitor for cancer chemotherapy. Consequently, blocking dTTP synthesis requires co-inhibition of TK1 and TS. For the first time, we present the crucial single-cell transcriptome evidence for this coordinate up-regulation, thereby establishing the mechanistic basis for developing TK1/TS as a dual target in cancer therapy.

cancer biology↗

bioRxiv2026

Aging, matrix metalloproteinase imaging, and survival prospects in aortic aneurysm

Age is a risk factor for aortic aneurysm (AA), and different segments of the aorta exhibit varying susceptibilities to aneurysm. The specific factors that contribute to the higher incidence of AA and its complications with aging remain unclear. Matrix metalloproteinases (MMPs) are elevated in AA. However, the connection between aging, aortic MMP activity, and the increased prevalence of AA and its complications has not been systematically evaluated. This study leveraged MMP-targeted molecular imaging to investigate how aging affects aortic MMP expression and activity, as well as aneurysm development and survival. MethodsAA development and animal survival were monitored for 28 days after Angiotensin (Ang)-II infusion in 8-10-week-old (young) and >51-week-old (old) Apoe-/- mice. Aortic MMP activation was quantified by PET/CT using an MMP-targeted tracer, 64Cu-RYM2, at baseline and 1 week after Ang II infusion. MMP activity and expression were quantified by tissue zymography and quantitative reverse transcription polymerase chain reaction, and compared between different segments of the aorta in young and old animals, and before and after Ang II infusion. ResultsOld animals survival to 28 days was significantly lower than that of young Ang-II-infused Apoe-/- mice (P < 0.05). 64Cu-RYM2 PET/CT showed significantly higher aortic MMP activation before and 1 week after Ang-II infusion in old compared to young Apoe-/-mice. The 64Cu-RYM2 signal was significantly higher in animals that did not survive 28 days than those that did (P < 0.01). MMP activity significantly increased by 4 days after Ang-II infusion, when dissection was found in a subset of Apoe-/- mice; and was significantly higher in the dissected, compared to adjacent, apparently normal, segments of the aorta. MMP activity was also significantly higher in the ascending thoracic aorta of untreated young and old mice, as well as of Ang-II-treated Apoe-/-mice (which was associated with significantly higher Mmp2 gene expression), and of old wild-type mice. ConclusionAging is associated with increased MMP activity along the aorta and worse AA survival. MMP-targeted molecular imaging can inform the aneurysm survival prospects. Selective MMP inhibitors and tracers may help prevent and track aneurysm growth, dissection, and rupture.

bioengineering↗

bioRxiv2025

Focused ultrasound programmed characteristic NIR-IIb lanthanide mechanoluminescence for high sensitivity bioimaging in vivo

Optical imaging techniques for biodetection are hindered by limited sensitivity and resolution in deep tissues, arising primarily from photon scattering and endogenous autofluorescence. Herein, we report a focused ultrasound (FUS) programmable NIR-IIb emissive mechanoluminescent nanoparticle for in vivo bioimaging. Specifically, CaZnOS nanoparticles co-doped with Mn2+ and Er3+ were engineered to exhibit mechanoluminescence (ML) emission peaked at 1550 nm. FUS stimulation elicits ML without the need for optical excitation, thereby enabling deep-tissue imaging devoid of background interference from excitation light. By modulating the excitation frequency of FUS, ML can be programmed as a characteristic signal. Integrated with a Fourier frequency-transform identification reconstruction (FFIR) algorithm, the specific ML signals can be detected with high sensitivity, reaching sub-millimeter spatial resolution and markedly enhanced signal-to-background ratios compared to conventional photoluminescence-based approaches. By macrophage internalization of the ML nanoparticles to yield functional macrophage-nanoparticle (FMNs), a ultralow detection limit of 10 cells can be achieved. In murine tumor models, the FMNs facilitated real-time monitoring of early-stage tumor progression, underscoring their biocompatibility and translational promise for high-precision diagnostics in deep-seated neoplasms.

bioengineering↗

bioRxiv2025

A Comprehensive Treatment-Induced Resistance Atlas of Glioblastoma Reveals a Fibrotic Niche Shielding the Tumor from Immunotherapy

Therapeutic resistance in IDH-wildtype glioblastoma (GBM) is driven by an intricate interplay between cellular plasticity and protective microenvironmental niches. By constructing the GRIT-Atlas--a massive transcriptomic compendium encompassing nearly one million high-quality single cells across 17 cohorts--and cross-analyzing it with 48 independent Visium spatial transcriptomics sections, we discover a recurrent "Spatial Resistance Triad" comprising mesenchymal-like (MES-like) malignant cells, myeloid-derived suppressor cells (MDSCs), and collagen-secreting cancer-associated fibroblasts (CAFs). This large-scale spatial integration reveals that the triad physically fortifies microvascular proliferation (MVP) and pseudopalisading necrosis (PAN) niches. To substantiate these findings at true single-cell resolution, we deploy high-plex spatial molecular imaging (CosMx SMI) to map over 400,000 single cells across a clinical validation cohort. This high-resolution architecture firmly validates the triads geography and, critically, provides structural gradient evidence unmasking a spatiotemporal continuum wherein PAN emerges as a direct functional consequence of MVP advancement and subsequent vascular collapse. Mechanistically, stromal CAF-derived COL6A1 engages CD44 receptors on MES-like cells to accelerate a potent neural stemness cascade within these protective domains. Utilizing a blood-brain barrier (BBB)-penetrant multi-library compound screen, we identify Lacidipine as a multi-modal stromal disruptor that successfully silences CAF activation and halts matrix secretion. Incorporating Lacidipine into the standard chemo-immunotherapy backbone (TMZ + anti-CSF1R) completely dismantles the protective desmoplastic matrix niche, forcing a profound collapse of intracranial tumor burden and dramatically extending overall survival in orthotopic models. Collectively, our study leverages unprecedented single-cell and spatial scale to provide a definitive blueprint of GBM therapeutic evasion, establishing matrix-targeted intervention as a mandatory prerequisite for successful glioblastoma eradication.

cancer biology↗

bioRxiv2025

Ferritin Nanoparticle-Based Indirect ELISA for Immunodominant Region Screening and B-cell Epitope Validation of African Swine Fever Virus

African swine fever virus (ASFV) poses a severe threat to the global pig industry, creating an urgent need for effective vaccines and reliable diagnostic tools. While numerous ASFV B-cell epitopes have been reported based on murine-derived monoclonal antibodies (mAbs), such epitopes may not fully represent the antibody targets recognized in naturally infected pigs. Therefore, we need an approach to screen immunodominant regions by evaluating the reactivity of pre-defined epitopes with ASFV-infected pigs sera. In this study, we developed an indirect enzyme-linked immunosorbent assay (iELISA) based on recombinant epitope-ferritin nanoparticles (EFNs), as a platform for immunodominant region screening and epitope validation. This assay, hereafter referred to as EFNs-iELISA, shows an approximately twofold improvement in sensitivity compared with synthetic peptide-based ELISA for linear B-cell epitopes, and improved discrimination over GST-His-peptide and BSA-conjugated peptide formats. Using EFNs-iELISA, we evaluated 22 known murine-derived B-cell epitopes and 17 predicted epitopes from ASFV proteins CD2v, P30, P54, and P72 with ASFV-positive and negative porcine sera. According to the calculated cut-off threshold, tested epitopes were classified into different groups with positive or negative reactivity. Our analysis confirmed that among 22 known murine-derived ASFV B-cell epitopes, 16 (72%) also showed positive reactions with porcine-derived sera. Whats more, we also screened 7 new porcine-specific immunoreactive regions on these proteins. The EFNs-iELISA method provides a practical tool for screening immunodominant regions of ASFV, with potential applications in vaccine and diagnostic research.

immunology↗

bioRxiv2025

PocketX: Preference Alignment for Protein Pockets Design through Group Relative Policy Optimization

Designing protein pockets that target specific ligands is crucial for drug discovery and enzyme engineering. Although deep generative models show promise in proposing high-quality pockets, they are usually trained purely to match the data distribution and therefore overlook key biophysical properties, such as binding affinity, expression, and solubility, that ultimately determine developability and success. We introduce PocketX, an online reinforcement learning framework that explicitly aligns a generative model with desired biophysical properties. The framework first trains a base model that co-designs pocket structures and sequences conditioned on a target ligand, and then fine-tunes this model with Group Relative Policy Optimization (GRPO) to reward the desired attributes. Because GRPO employs group-relative rewards, it produces lower-variance policy updates, resulting in more stable and efficient learning than competing alignment strategies. Evaluated on the CrossDocked2020 benchmark, PocketX surpasses existing methods in metrics such as binding energy and evolutionary plausibility. Ablation studies further show that GRPO outperforms alternative alignment strategies, including Direct Preference Optimization (DPO), confirming GRPOs effectiveness for biophysical property alignment.

bioinformatics↗