Biology subjects

Wang, A.

Publications and source records attributed to Wang, A..

At least 55 records · Page 3Linked to original sources

bioRxiv2026

A Manifold-Based Measure of Transcriptional Entropy for Quantifying Aging in Single Cells

Aging reshapes tissues through changes in cellular composition, coordinated transcriptional reprogramming, and loss of transcriptional coordination. Whereas the first two have been characterized across aging tissues, the third remains difficult to quantify. We introduce an unsupervised, first-principles framework for measuring transcriptional dyscoordination in single cells as deviation from a learned, predictable structure accounting for technical noise. Orthogonal validation links transcriptional dyscoordination to classical intrinsic noise and distinguishes it from coordinated change. In controlled perturbations, dyscoordination rises after genotoxic injury and senescence induction, then falls following senolytic depletion. Across mouse, rat, and human tissues, dyscoordination increases with chronological age, especially in regenerative compartments. In human T cells, dyscoordination increases with clonal expansion and effector function yet declines within persisting clones after checkpoint blockade. Cross-modal analyses further link dyscoordination to chromatin-based mitotic age and genome instability. These results identify loss of transcriptional coordination as a distinct and dynamic feature of cellular aging.

genomics↗

bioRxiv2026

Footprint-seq: a simple method to quantitatively map in vitro protein-DNA interactions on a genome-wide scale at high spatial resolution

Protein-DNA interactions underlie essential cellular processes. The position and/or strength of protein interactions with DNA have historically been studied for short DNA regions using in vitro assays. More recent microarray- and sequencing-based assays have been developed to map protein-DNA interactions on a genome-wide scale. However, these genome-scale methods offer limited spatial resolution and have not been effectively applied to determine dissociation constants for individual sites. Here, we introduce Footprint-seq, a simple, sequencing-based method that maps and quantifies protein-DNA interactions in vitro with high resolution on a genome-wide scale. Footprint-seq measures local protection from transposition in the presence of a DNA-binding protein. Using the well-studied Escherichia coli DNA-binding protein, CRP, as a test case, we show that Footprint-seq detects CRP binding sites with high resolution across plasmid or genomic DNA. Moreover, we show that Footprint-seq enables inference of dissociation constants for hundreds of genomic sites. Thus, Footprint-seq provides a rapid, accessible, and quantitative method for mapping protein-DNA interactions in bacteria and other systems.

genomics↗

bioRxiv2026

Functional organization underlying superior performance in a memory champion

Memory athletes can achieve superior performance (e.g., memorizing 339 digits in 5 minutes) with extensive daily training, by converting abstract information into vivid scenes, and placing them along a mental path, that is later retraced (Method of Loci). Understanding the brain mechanisms underlying such training-derived mastery would increase our understanding of the brains memory systems and could suggest novel approaches to improving cognition in other domains. As memory athletes use personalized training techniques, it has been challenging to study them with standard group paradigms. Fortunately, precision functional mapping (PFM) enables detailed investigation of individual brains through repeated sampling of resting-state functional connectivity and task fMRI. Here, we precisely mapped the brain organization of a 6-time U.S. Memory Champion (>13 hours fMRI). Relative to controls, the Memory Champions network functional connectivity (FC) was strengthened with the retrosplenial, extrastriate visual, and dorsal frontal cortex (area 55b), as well as with the caudate nucleus. The Memory Champion had modules related to scene and semantic processing not seen in controls, alongside stronger connectivity between the caudate and classical memory networks. During rote memorization, the Champions task fMRI patterns were typical, with the hippocampus active during encoding. This pattern was reversed when he used his Method of Loci technique, with greater hippocampal activity during recall than encoding. Hence, intense practice at converting abstract information into more memorable formats can develop a procedural memory skill that utilizes brain regions typically reserved for navigation, language, social cognition, and associative learning.

neuroscience↗

bioRxiv2026

P-glycoprotein exofection between fetal and maternal cells as a mechanism of intercellular material transfer at the feto maternal interface

Cells can recover lost protein functions through a process we term exofection, in which extracellular vesicles deliver functional molecular cargo to recipient cells and transiently reprogram their activity. Here we show that exosomes derived from fetal chorion trophoblast cells (CTCs) restore P-glycoprotein (P-gp) efflux transporter function in inflammation-impaired maternal decidual cells (DECs) at the feto-maternal interface. CTCs maintain high P-gp expression under inflammatory stress, whereas DECs exhibit marked downregulation of transporter genes and proteins. Proteomic analysis revealed that CTC-derived exosomes package P-gp as a stable cargo that enters DECs through clathrin- and heparan sulfate-dependent uptake pathways. Delivery of CTC exosomes reinstated P-gp abundance and efflux capacity in LPS-stimulated or P-gp-deficient DECs, as shown by calcein efflux and immunofluorescence assays. In pregnant P-gp knockout mice, exosome treatment restored systemic clearance of the P-gp substrate tacrolimus and improved pharmacokinetic parameters. These findings establish exofection as a naturally occurring mechanism of transporter rescue at the feto-maternal interface, where fetal exosomes compensate for inflammation-induced maternal loss of efflux capacity. By restoring P-gp-mediated barrier function, exofection provides a protective strategy that limits the accumulation of xenobiotics and cytokines in maternal tissues and safeguards the fetus. This work reveals a previously unrecognized form of intercellular communication with broad implications for fetal protection, placental biology, cellular engineering, and the delivery of therapeutic proteins. One Sentence SummaryExofection is identified as a novel mechanism of transient cellular engineering via exosome-mediated functional protein delivery between cells.

developmental biology↗

bioRxiv2025

Aging-induced hepatocyte CD44 drives IL6/STAT3 signaling and associates with impaired neighboring T cell function.

Liver cancer incidences increase dramatically beyond 55 years of age, suggesting that age-associated changes contribute critically to tumor initiation. However, the mechanisms linking liver aging and cancer initiation are not well defined. This study investigates the role of CD44, a marker of liver tumor-initiating cells (TIC), in age-associated liver pathophysiology. Aged livers showed accumulation of CD44-expressing hepatocytes exhibiting enrichment of immune modulatory genes and activation of the immunosuppressive IL6/JAK/STAT3 pathway. Indeed, in adoptive transfer assays, antigen-exposed CD8+ T cells mounted a lower IFN-{gamma} response in aged livers than in young livers, indicating an immunosuppressive aged milieu. Concordantly, spatial analyses showed that the proximal neighbourhoods of Cd44-expressing hepatocytes are enriched in T cells exhibiting reduced cytokine and chemokine gene expression. Finally, hepatocyte-specific knock out of Cd44 mitigated the IL6/JAK/STAT3 gene signature in aged livers. Overall, these findings suggest that CD44 expression in aged hepatocytes promotes activation of the immunosuppressive IL6/JAK/STAT3 pathway and this is associated with impaired T cell effector function.

cell biology↗

bioRxiv2025

Single cell and spatial characterization of the human pancreas reveals drivers of beta cell dysfunction in cystic fibrosis

Cystic fibrosis (CF) causes severely damaged pancreas morphology and results in high rates of cystic fibrosis-related diabetes (CFRD), but the cellular pathways and regulatory programs driving CFRD pathogenesis in the pancreas are not understood. In this study, we performed single cell multiomic and spatial profiling of 2.04M cells in the pancreas from 23 non-disease and CF donors and defined regulatory programs and tissue niches of specific cell types and sub-types in CF. A high-mucin sub-type of ductal cells had relatively preserved abundance, altered localization and up-regulated stress, secretion and pro-fibrotic activity in CF, and conventional ductal cells showed evidence for transition to the high-mucin state. Increased inflammatory and fibrotic pathway activity in CF was linked to closer proximity and crosstalk between immune and stellate cells in specific niches. Beta cells had extensive genomic changes in CF, including increased stress and insulin secretion-related processes, and these changes were broadly distinct from those in type 1 and type 2 diabetes. Islets in CF preferentially localized near large adipose tissue and collagen structures, and both areas were strongly linked to beta cell loss in CF due to signaling from adipocytes, macrophages, stellate, and high-mucin ductal cells. Overall, our results reveal cellular drivers of pancreatic dysfunction in CF and offer new in-roads to preserving beta cells in CFRD.

genomics↗

bioRxiv2025

Patterns of brain-wide associations reflect socioeconomics

Previous brain-wide association studies (BWAS) cross-sectionally linked a specific behavioral trait, most commonly IQ or psychopathology, to variation in brain function or structure. Here, we expanded the focus of BWAS from effect sizes to interpretability and generalizability by mapping 649 variables to brain function and structure. We compared the resultant BWAS maps to other types of brain data to annotate the BWAS patterns. Socioeconomic status (SES) -- not IQ or psychopathology -- showed the strongest associations with both resting-state functional connectivity (RSFC) and cortical thickness in the Adolescent Brain Cognitive Development (ABCD) Study. A principal exposome brain pattern, anchored to sensory and motor cortex, captured 34% of the variance across all BWAS maps. This exposome pattern was strongly correlated with the SES and IQ BWAS maps and non-BWAS maps of sleep (EEG), norepinephrine (PET), and stimulants (drug trial), but not cognitive activation maps (task fMRI). Adjusting for SES, reduced brain-IQ associations by 40%. Brain with IQ associations did not generalize, as they could no longer be detected in subsamples drawn from only higher SES backgrounds, while brain with SES associations remained strong in higher-IQ-only subsamples. These findings reveal SES as the principal axis of population-level brain variation, possibly stemming from the sleep deprivation and heightened stress associated with lower SES, since socioeconomics can only indirectly affect the brain.

neuroscience↗

bioRxiv2025

Predicting and Designing Red Fluorescent Protein Variants Using Sequence-to-Function Machine Learning Models

Fluorescent proteins (FPs) are widely used reporters for visualizing cellular structures and processes. Traditional wet-lab strategies for FP engineering (rational design and directed evolution) have enabled substantial improvements in photophysical performance but are limited by their requirement for deep expert knowledge or labor-intensive screening. AI-driven approaches have recently gained traction for engineering variants of green FPs, yet applications to red fluorescent proteins (RFPs) remain scarce. Here, we applied machine learning models to an RFP sequence-function dataset and trained these models to predict functional single-mutation variants of the state-of-the-art RFP mScarlet-I3. Guided by model predictions, we identified variants exhibiting red-shifted emission peaks, large Stokes shifts, or brightness comparable to the parental protein. Our findings show that even lightweight, data-efficient models can extract actionable design principles for improving RFPs. This work demonstrates the feasibility of AI-guided design for RFPs and provides a reliable benchmark for future development of more powerful AI-driven strategies for FP engineering.

molecular biology↗

bioRxiv2025

Mapping spatial gradients in spatial transcriptomics data with score matching

Spatial transcriptomics (ST) technologies measure gene expression at thousands of locations within a two-dimensional tissue slice, enabling the study of spatial gene expression patterns. Spatial variation in gene expression is characterized by spatial gradients, or the collection of vector fields describing the direction and magnitude in which the expression of each gene increases. However, the few existing methods that learn spatial gradients from ST data either make restrictive and unrealistic assumptions on the structure of the spatial gradients or do not accurately model discrete transcript locations/counts. We introduce SLOPER (for Score-based Learning Of Poisson-modeled Expression Rates), a generative model for learning spatial gradients (vector fields) from ST data. SLOPER models the spatial distribution of mRNA transcripts with an inhomogeneous Poisson point process (IPPP) and uses score matching to learn spatial gradients for each gene. SLOPER utilizes the learned spatial gradients in a novel diffusion-based sampling approach to enhance the spatial coherence and specificity of the observed gene expression measurements. We demonstrate that the spatial gradients and enhanced gene expression representations learned by SLOPER leads to more accurate identification of tissue organization, spatially variable gene modules, and continuous axes of spatial variation (isodepth) compared to existing methods. Software availabilitySLOPER is available at https://github.com/chitra-lab/SLOPER.

bioinformatics↗

bioRxiv2025

Hidden-driver inference reveals synergistic brain-penetrant therapies for medulloblastoma

Effective therapies for high-risk medulloblastoma (MB), particularly MYC-driven Group 3 (G3) MB, remain elusive due to limited druggable mutations, poor blood-brain barrier (BBB) penetration, and rapid resistance. We developed SINBA (Synergy Inference by Data-driven Network-Based Bayesian Analysis), a systems biology framework that computationally prioritizes synergistic, BBB-permeable drug combinations by identifying hidden drivers sustaining oncogenic programs. Integrating MB-specific networks, transcriptomic data, and drug-gene interactions, SINBA nominated 32 candidates, of which 19 were experimentally validated as synergistic. Through iterative prioritization and experimental refinement, the MEK inhibitor mirdametinib and p38 inhibitor regorafenib emerged as the top brain-penetrant pair, suppressing G3 MB progression and extending survival in xenograft and immunocompetent models, with efficacy enhanced by low-dose radiation. Single-cell analysis revealed selective targeting of developmental origins and immune reprogramming. These findings establish SINBA as a computationally assisted discovery framework for clinically actionable combinations in high-risk MB.

cancer biology↗

bioRxiv2025

Characterizing spatial functional microniches with SpaceTravLR

The advent of spatial omics has revolutionized our understanding of tissue biology; however, these technologies remain largely descriptive and do not capture how changes in gene regulation propagate across spatial neighborhoods. While in-silico perturbation methods and foundation models aim to model the impact of genetic perturbations, these methods are limited to single-cell approaches that lack spatial resolution. Other studies can delineate morphological domains based on transcriptional similarity, but not spatial functional microniches. We address this major unmet need by developing SpaceTravLR (Spatially perturbing Transcription factors, Ligands and Receptors), a novel interpretable machine learning approach that generalizes across tissues and species, uncovering spatial features linked to functional outcomes, thereby capturing functional microniches with spatial resolution. SpaceTravLR infers how single or combinatorial genetic perturbations rewire signals across the tissue neighborhood, by propagating effects through underlying spatially resolved molecular networks, thereby modeling how perturbations can reshape both the targeted cell and its surrounding neighborhood. SpaceTravLR defines novel spatial microniches across a range of tissues at different scales of organization (niches, neighborhoods and tissues), disease and developmental contexts. SpaceTravLRs perturbation predictions are made solely from spatial omics data and closely align with experimental validation or known outcomes based on mechanistic studies. Critically, our approach enables the generation of mechanistic hypotheses underlying identified niches. We show SpaceTravLR discovered a novel mechanism for Ccr4 that drives the spatial location of a pathogenic population of allergen-specific T helper 2 (Th2) cells as they develop in the lymph node, which was experimentally validated in a murine model. Overall, SpaceTravLR provides a novel interpretable and experimentally validated framework for uncovering how genes act individually and combinatorially through cell-intrinsic and cell-extrinsic circuits to shape spatial tissue organization and function.

systems biology↗

bioRxiv2025

A Precisely Controlled Long-Acting Immunosuppression Platform Enables Prolonged Survival of Vascularized Composite Allografts

Vascularized composite allotransplantation (VCA) restores complex tissue defects but demands lifelong systemic immunosuppression. Oral tacrolimus (TAC) is limited by a narrow therapeutic window, pharmacokinetic variability, adherence challenges, and toxicity. Local delivery could mitigate these issues, yet clinical translation has been hindered by burst release, short duration, and the inability to co-deliver agents. We developed PRECISE (Programmable, REtrievable, Controlled ImmunoSuppression Encapsulator), an injectable, in-situ-forming PLGA depot that achieves long-acting, tightly controlled TAC release via structure-guided co-formulation with drug-binding agents (DBAs). GRAS small molecules (e.g., EGCG, maltotriose) identified by in silico docking and in vitro screening suppressed burst and modulated solvent efflux. Notably, rapamycin (RAPA) served dually as an mTOR inhibitor and a TAC-binding excipient, enabling synchronized dual-agent delivery. PRECISE eliminated burst in vitro and produced coordinated TAC+RAPA release with clinically compatible injectability. In rats, monthly intragraft dosing maintained systemic TAC/RAPA within the therapeutic window ([~]5-10 ng/mL) for >300 days, prolonged hindlimb allograft survival, expanded Tregs, and induced donor-specific hyporesponsiveness. Surgical retrieval of the depot triggered rapid TAC decline, demonstrating reversibility. In a stringent, fully MHC-mismatched porcine VCA model, PRECISE maintained on-target drug levels and extended graft survival beyond 90 days with minimal rejection and preserved vascular integrity. PRECISE is, to our knowledge, the first retrievable, injectable platform to deliver long-acting, dual-agent immunosuppression with controlled kinetics, rapid attainment of therapeutic steady state, and sustained graft protection. Its modular, structure-guided design enables clinical translation across VCA and solid-organ transplantation, delivering precise, durable, and safer immunosuppression.

bioengineering↗

bioRxiv2025

Accurate processing of ultra-short immune signals by singlemacrophages

Accurately interpreting short-lived signals is challenging within noisy cellular microenvironments. It is not known if cells can distinguish different signaling molecules under transient exposure. Here, we explored the temporal limits of signal detection by single macrophages. Microfluidic experiments monitoring NF-{kappa}B dynamics showed that macrophages strongly respond even to 1-second pulses of cytokine and pathogen ligands. Information theory showed that short-pulse response is highly specific to the stimulating ligand, comparable to that under long-term stimulation. Macrophages were mainly sensitive to the duration of cytokines, and the dose of pathogen ligands. Stimulus duration altered the ranking of response strengths among different pathogenic ligands. Mathematical modeling showed that receptor cooperativity is crucial for robust responses to transient signals, while receptor pathway variability leads to accurate signaling in fluctuating environments. These findings demonstrate that dynamic transcription factor specificity is preserved across varying signal durations and uncover network-level mechanisms that accurately distinguish transiently encountered threats.

systems biology↗

bioRxiv2025

Impaired larval motor function in a zebrafish Stathmin-2 (STMN2) knockout model

Stathmin-2 (STMN2) is a microtubule associated protein that plays a role in the stability of microtubules of axons in the nervous system of animals. In this study we generated a novel zebrafish STMN2 knockout (KO) model. STMN2 is represented by two genes in the zebrafish genome: stmn2a and stmn2b. Using the CRISPR/Cas9 mutagenic system we selected founder fish lines harbouring frameshift mutations in both genes and bred these together to generate a double stmn2a and stmn2b KO model. Using these models, we observed increased developmental lethality in our double stmn2a and stmn2b KO model and impaired motor function at larval stages of development. Examination of the larval neuromuscular junction (NMJ) revealed a slight increase in the number of orphaned NMJs in trunk musculature as well as a reduction in amplitude of miniature endplate currents in our double stmn2a and stmn2b KO model. In a final series of experiments, we show impaired ventral root axon regrowth following transection in double stmn2a and stmn2b KO larvae. Our findings suggest that while not essential for motor axon development, loss of stmn2a and stmn2b expression perturbs the assembly of zebrafish NMJs during development resulting in a minor motor phenotype and impairs that ability to regenerate motor axons following injury.

neuroscience↗

bioRxiv2025

Hepatic ceramide synthesis links systemic inflammation to organelle dysfunction in cancer

Paraneoplastic syndromes arise when tumor-derived cytokines reprogram distant organs. Although mediators such as Interleukin-6 have been implicated, how these signals impair host organ function remains incompletely defined. Here, we identify a cytokine-lipid axis that drives hepatic autophagy dysfunction. Specifically, in Drosophila, the gut tumor-derived interleukin-like cytokine Upd3 induces the expression of the triglyceride lipase CG5SCC, which we named "cancer-associated lipid mobilizer (calm)", and the ceramide synthase schlank in the fat body. This upregulation rewires fat body lipid metabolism, resulting in an autophagic-flux blockade. Genetic reduction of either CG5SCC or schlank restores organelle homeostasis and mitigates paraneoplastic phenotypes. This mechanism is conserved in mammals: in mice, IL-6 upregulates the lipoprotein lipase Lpl and ceramide synthases which in turn trigger a hepatic autophagy-flux blockade; in humans, hepatic LPL and ceramide synthases expression correlates with poorer survival in hepatocellular carcinoma. Our findings position hepatic lipid metabolism rewiring, especially ceramide synthesis as a critical, conserved node coupling systemic inflammation to organelle dysfunction, and suggest this pathway as a possible therapeutic entry point for cancer-associated liver disorders.

genetics↗

bioRxiv2025

Loss of tight junction protein claudin 18 uncovers alveolar epithelial stem cell plasticity and emergence of non-fibrogenic transitional progenitors

Persistence of senescent alveolar transitional progenitors following lung injury is implicated in the pathogenesis of fibrosis. We identified transitional cells in uninjured Cldn18 knockout (KO) mouse lungs distinct from previously reported damage-associated transitional progenitors (DATPs) with a less fibrogenic transcriptomic profile. Cldn18 KO mice are protected from bleomycin-induced fibrosis, with early restoration of cellular homeostasis. Lineage tracing implicates accelerated differentiation as a mechanism for protection from fibrosis, leading us to name these cells regeneration-associated transitional progenitors (RATPs). Multiome confirms that RATPs and DATPs are epigenetically distinct, with RATPs comprised of RATP2s and RATP1s based on epigenomic proximity to AT2s and AT1s, respectively, and suggests dynamic regulatory remodeling during AT2-to-AT1 differentiation, with NKX2.1 and AP-1 active in early transitions and TEAD factors in later stages. These results reveal an unexpected role for Cldn18 in regulation of AEC plasticity, while identification of RATPs challenges the notion that persistence of transitional alveolar cells is invariably pathologic.

cell biology↗

bioRxiv2025

Brassinosteroid treatment reveals the importance of xyloglucan transglucosylase/hydrolase (XTH) genes in growth habit determination of twining common bean vines

O_LIBrassinosteroids impact the development of G-fibers --specialized cells that generate tension in plants. To explore the functional and genetic relationships between G-fibers and twining stems of common bean, we applied an active brassinosteroid and a brassinosteroid inhibitor to perturb G-fiber development and probed these phenotypes through gene expression and anatomical analyses. C_LIO_LIBrassinosteroid treatment generated phenotypes that aKected the three key features of twining: elongation, circumnutation, and G-fiber development. We examined anatomical and biochemical changes in the G-fibers through cross-sections, macerations, and immunohistochemistry. RNA sequencing and differential gene expression analysis allowed us to identify unique gene expression patterns for each treatment. C_LIO_LIBrassinosteroid treatment led to significantly elongated internodes with disrupted circumnutation and long, thin-walled G-fibers. In contrast, inhibitor treatment produced short internodes with thick G-fibers. These phenotypes corresponded with significant differential expression of XTH genes, both at the onset of elongation and later, during G-layer deposition. Detection of xyloglucan epitopes in the G-layer, along with in situ hybridization, confirmed active xyloglucan remodeling after twining. C_LIO_LIOur results confirm the presence of xyloglucan in the G-layer of common bean, underscoring its importance in G-fiber function, and suggests a regulatory role for XTH genes in shaping the twining growth habit through modulation of cell wall properties. C_LI

plant biology↗

bioRxiv2025

Mapping CD4+ T Cell Landscapes in Glioblastoma Reveals Effectors and Bystanders

The tumor immune microenvironment (TME) has been demonstrated to significantly shape glioblastoma (GBM) progression and therapeutic response, yet the role of CD4+ T cells remains incompletely defined. Here, by integrating single-cell RNA, surface-protein, and TCR profiling of 39,788 T cells from 16 high-grade gliomas with five matched blood samples, we mapped 23,550 CD4+ T cells across 11 states and revealed predominance of CD4+ T cells in primary, but not recurrent, tumors, alongside pronounced tumor-blood discordance. Clonal analyses revealed expansion of cytotoxic effector CD4+ T cells within tumors and TEMRA CD4+ T cells in blood. A small set of dominant clonotypes (0.2% of unique TCR{beta} sequences) accounted for >6% of all CD4+ T cells across both compartments and were shared across different transcriptional subsets, suggesting diverse transcriptional development stemming from a shared progenitor. In contrast, virally annotated clonotypes were broadly dispersed and largely unexpanded, consistent with bystander populations. Collectively, we investigated the cellular and clonal architecture of human CD4+ T cells in GBM and highlight the contrast between PBMC and TIL compartments.

immunology↗