Biology subjects

Zhang, Z.

Publications and source records attributed to Zhang, Z..

At least 73 records · Page 4Linked to original sources

bioRxiv2026

Prot-LAMBDA: Explicit Distance Learning Enhances Structural Reasoning in Protein Language Models

Protein language models (PLMs) learn evolutionary information from large-scale sequence data, but three-dimensional relationships are encoded only implicitly. Here, we introduce Prot-LAMBDA (Protein LAnguage Model Boosted with Distance Awareness), a PLM that explicitly incorporates spatial relationships by coupling residue embeddings with inter-residue contacts. Prot-LAMBDA improves performance across diverse structure-related tasks, including contact, secondary structure, backbone geometry, solvent accessibility, and protein fold prediction. Notably, it achieves a twofold improvement in long-range contact recall and an 11.7% reduction in {psi}-angle prediction error relative to ESM2-3B. Despite having approximately fivefold fewer parameters, Prot-LAMBDA also improves 3D structure prediction over ESM2-3B by 5-7% in TM-score when coupled to the same structure-prediction module. Building on these representations, we developed LambdaFold, a lightweight distance-guided structure prediction framework that achieves performance comparable to ESMFold on proteins strictly non-redundant to the training data. Finally, retrieval-augmented integration of structural templates increases mean TM-score substantially for targets with high template coverage and rescues several incorrect folds. Together, these results demonstrate that explicit spatial constraints enable efficient and generalizable structural representation learning and protein structure prediction.

bioinformatics↗

bioRxiv2026

A pharmacokinetics-informed ODE extrapolates long-term fenofibrate transcriptomic responses

Long-term in vivo transcriptomic time courses are costly, limiting assessment of chronic molecular responses from short studies. We developed a pharmacokinetics-informed transcriptomic ordinary differential equation model (PKT-ODE) that links an oral pharmacokinetic profile and Hill drug-effect function to first-order turnover of co-expression modules. The model was fitted to rat liver responses to fenofibrate at three doses in Open TG-GATEs through day 8. At the held-out day-29 endpoint, PKT-ODE achieved Pearson r = 0.960 and mean squared error (MSE) = 0.148. In this dataset, these values achieved lower prediction error and higher correlation than four statistical baselines and validation-selected linear and multilayer-perceptron transition models. Literature-curated peroxisome proliferator-activated receptor target genes occurred only in modules with positive fitted drug effects. These results provide a proof of concept for pharmacokinetics-informed transcriptomic extrapolation; cross-compound, cross-organ and alternative-regimen performance remain to be tested.

systems biology↗

bioRxiv2026

Evolution profile of 13415 SNVs in 33 language/cognition genes measured by five types of distance calculation

This study aims to quantify the genetic similarity of different species (from fish to humans) to the human reference genome (pp6, Homo sapiens.GRCh38) based on the allele presence/absence patterns of 13,415 SNV loci from 33 language/cognition-related genes, identify key breakpoints during evolution, and evaluate the enrichment of language and cognition genes at these breakpoints. We designed a similarity calculation method relying on binary features (four columns for A/T/C/G), adopted five difference/distance measures (Sorensen, Rogers, Nei, Reynolds, and Hellinger), and converted them into similarity values (1/(1+distance)). For each method, samples were independently ranked, the first derivative of similarity was computed, and the top 12 peaks were selected as candidate breakpoints. Results show that the similarity curves from the five methods are highly consistent (correlation coefficients >0.9), with major peaks concentrated at positions 355, 363, 381, 382, 390, 400, etc., where the corresponding samples are predominantly ancient hominins and primates. Furthermore, we defined 13 peak groups (starting positions 355-401). For each peak within a group, pairwise SNV differences between the peak apex sample and its immediate left neighbor were compared, and the intersection F_INTERSECTION (shared differential loci) was obtained. For each F_INTERSECTION, we calculated the proportions of language genes and cognition genes. In addition, we computed the differential sets between adjacent groups' F_INTERSECTION to trace the gradual emergence of new loci. In F_INTERSECTION, language genes accounted for an average of 59.5%, and cognition genes for an average of 62.9%. The proportion of language genes reached a peak at position 383 (61.2%), while cognition genes peaked at position 386 (64.9%). High-frequency peak samples include c25, c27, and ja2, suggesting that language-cognition genes may have undergone independent intensification during Eurasian evolution. Differential analysis between adjacent F_INTERSECTION revealed a stepwise acquisition of new loci from position 355 to 401, with three bursts of newly added loci along the entire evolutionary axis. These molecular patterns carry implications beyond evolutionary genetics. The absence of robust enrichment for either language or cognition genes at any breakpoint is compatible with the hypothesis that language and cognition are not separable functional modules, but rather constitute an integrated symbolic-cognitive system. This distinction matters for artificial intelligence research: if language, understood as an internal symbolic system, is inseparable from cognition, then treating large language models' linguistic performance as a direct proxy for cognitive capacity may be theoretically problematic. The present study therefore provides not only a quantitative evolutionary framework based on similarity curves, but also a methodological caution for AI foundations-namely, that the competence-performance distinction must be carefully preserved when interpreting what large language models can and cannot do. The results highlight the potential importance of East Asian archaic hominins in the evolution of language-cognition genes, and suggest that future AI research may benefit from distinguishing between the mastery of deep symbolic regularities (closer to I-language) and the imitation of surface statistical patterns (closer to externalized behavior).

molecular biology↗

bioRxiv2026

Patterns and environmental drivers of amphibian alpha and beta diversity in the Huangshan Mountains, southern Anhui, China

Understanding the spatial patterns of biodiversity and their environmental determinants is fundamental to ecology and conservation, particularly in mountainous transitional zones where species assemblages can shift rapidly. Amphibians, as highly sensitive organisms, are excellent indicators of environmental change, yet quantitative assessments of their diversity in the Huangshan Mountains-a biodiversity hotspot at the junction of the Palaearctic and Oriental realms in southern Anhui, China-remain limited. We conducted systematic line-transect surveys across 200 grids (5 km x 5 km) during the spring and autumn of 2023 and 2024, recording a total of 10,342 individuals belonging to 23 species, 20 genera, 9 families, and 2 orders. Three species (Fejervarya multistriata, Microhyla fissipes, and Bufo gargarizans) were identified as dominant, and two nationally protected species (Hoplobatrachus chinensis and Andrias davidianus) were detected. Inter-annual alpha diversity did not differ significantly, but pronounced seasonal variation was observed, with spring supporting higher Shannon-Wiener and Pielou evenness than autumn in both years. Using generalized additive models and model averaging, we found that annual precipitation and the normalized difference vegetation index (NDVI) were consistently the strongest positive predictors of Shannon-Wiener diversity, Simpson dominance, and species richness, while species richness also declined significantly with increasing human footprint. Total beta diversity (Soerensen dissimilarity) was very high (0.981) and overwhelmingly driven by species turnover (97.86%) rather than nestedness. Partial Mantel tests and distance-based redundancy analysis further revealed that environmental distances-particularly annual precipitation-significantly shaped overall beta diversity and its turnover component after accounting for geographic distance. These results highlight the predominant role of climatic and vegetation gradients in structuring amphibian assemblages in this subtropical mountainous region, providing baseline data to inform local conservation strategies.

ecology↗

bioRxiv2026

In situ Discovery of Immune Repertoire Reveals Antitumor Immunity and Therapeutic Antibodies

Spatial transcriptomics offers a glimpse into the immunology of tissues. However, limitations in spatial transcriptomics preclude the detection of highly diverse, low-abundance, and previously unknown sequences, including immune repertoires and microbiota. Here, we introduce Archimap, a spatial transcriptomic platform that simultaneously profiles spatial transcriptomes, immune repertoires, and microbiota from formalin-fixed paraffin-embedded (FFPE) tissues. Using Archimap, we profile the spatial localization of TCRs, BCRs, and the microbiota landscape in archived clinical tissues at single-cell resolution. Through comprehensive benchmarking, we validate Archimaps performance and fidelity. Archimap in situ assembles the immune complex and reconstructs the clonal evolution of antibodies. Together, Archimap shows the power of in situ discovery of functional immune repertoires for their antitumor immunity.

bioinformatics↗

bioRxiv2026

Ablation and Seed-driven Restoration of an Alpha-Satellite Devoid Human Centromere Reveals Size Homeostasis Mechanisms

Human centromeres are epigenetically defined chromatin domains marked by nucleosomes containing the histone H3 variant CENP-A, which recruit the constitutive centromere-associated network (CCAN) to assemble functional kinetochores. Maintaining centromere function, including chromatin domain size and the ability to assemble the kinetochore, is essential for proper mitotic division across eukaryotes. In humans however, mechanistic studies of centromere establishment, maintenance, and size regulation have been hindered by the highly repetitive nature of canonical alphoid centromeres. Here, we develop a genetically tractable human neocentromere system which is devoid of repetitive DNA sequences. Using targeted genetic manipulation of a monoallelic naturally occurring neocentromere, we show that partial loss of centromeric chromatin triggers restoration of the residual CENP-A domain through seed-driven, sequence-independent expansion into adjacent naive chromatin. In contrast, creation of new domain boundaries without loss of centromeric chromatin mass results only in local boundary remodeling, without substantial domain expansion. These findings indicate that centromere formation proceeds through two mechanistically distinct steps, beginning with acquisition of a CENP-A seed and followed by regulated domain expansion to generate a mature centromere. More broadly, our results support a model in which centromeres transition between a maintenance state that preserves domain size and a restoration state that rebuilds centromeric chromatin following perturbation. Together, this study establishes a genetically tractable platform for dissecting the mechanisms governing human centromere formation, chromatin domain dynamics, and size homeostasis.

cell biology↗

bioRxiv2026

Ori-Finder-Arch: An Updated Web Server for the Annotation and Visualization of Archaeal Replication Origins

Archaea are promising chassis organisms in biotechnology, and the accurate annotation of their chromosomal replication origins (oriCs) is the key to unlocking their full potential. However, the existing Ori-Finder 2 web server suffers from low accuracy, slow speed, and limited scalability. In this study, we present Ori-Finder-Arch, an updated web server for high-performance oriC prediction in archaea. This pipeline integrates HMMER-based replication initiation protein (RIP) annotation, refined consensus motif recognition, and GC profile-based DNA unwinding element (DUE) detection. On a benchmark set of experimentally validated oriCs, Ori-Finder-Arch achieved a recall of 95.6% and a precision of 86.0%, substantially outperforming Ori-Finder 2 (62.2% and 63.6%, respectively), while running 4.75 times faster and supporting diverse assembly levels. When applied to the available archaeal assemblies, it successfully annotated 17,472 oriCs. Meanwhile, the web server provides interactive visualizations at different levels. In conclusion, Ori-Finder-Arch offers an efficient, accurate, and user-friendly platform for advanced studies of archaeal DNA replication initiation and synthetic biology applications, and is freely available at https://tubic.org/Ori-Finder-Arch/ and https://tubic.tju.edu.cn/Ori-Finder-Arch/.

bioinformatics↗

bioRxiv2026

Detection of Spatially Aberrant Cells in Spatial Transcriptomics Data by Conformal Prediction

The hexagonal organization of epithelial cells represents a fundamental feature of normal tissue architecture, reflecting the precise spatial coordination that underlies healthy biological structure. Disruptions to this organization--manifesting as spatially aberrant spots with abnormal gene expression and misplaced positioning--are closely associated with disease initiation and progression. Here, we introduce SPADE, a computational framework that integrates single-cell RNA sequencing and spatial transcriptomics data to quantitatively characterize and detect spatial aberrancy. SPADE leverages a variational autoencoder coupled with Gaussian mixture modeling for cell-type embedding and spatial deconvolution, and incorporates conformal prediction to enable uncertainty-calibrated identification of aberrant spots. Through extensive validation, SPADE demonstrates superior performance in identifying biologically meaningful aberrant spots.

bioinformatics↗

bioRxiv2026

The Y chromosome gene KDM5D restrains CD8+ T cell antitumor immunity through TCR and cholesterol-exhaustion programs

Sex differences in immunity shape cancer risk, autoimmunity, and responses to immunotherapy, yet the sex-chromosome genes that regulate antitumor T cell function remain incompletely defined. Here, we identify the Y chromosome-encoded KDM5D histone demethylase as a male-specific suppressor of CD8+ T cell antitumor immunity. In murine colorectal cancer (CRC) models, male CD8+ T cells displayed reduced cytokine production, proliferation, cytotoxicity, TCR{beta} abundance, and proximal TCR signaling relative to female CD8+ T cells. CRISPR-RNP-mediated KDM5D depletion in male CD8+ T cells enhanced effector function, increased TCR{beta} expression, augmented TCR signaling, and improved tumor control after adoptive transfer. Transcriptomic and functional analyses further linked KDM5D to cholesterol biosynthesis and exhaustion-associated programs, with KDM5D depletion reducing SREBP2/XBP1-associated cholesterol and exhaustion signatures. Correspondingly, human CRC single-cell analyses supported the clinical relevance of this axis, showing enrichment of exhausted and cholesterol-associated CD8+ T cell states in male tumors. Pharmacologic inhibition of cholesterol biosynthesis with lovastatin partially attenuated select exhaustion-associated markers in male CD8+ T cells and delayed tumor growth in vivo. Together, these findings define KDM5D as a sex chromosome-encoded regulator of male CD8+ T cell dysfunction and point to cholesterol-exhaustion programs as a potential therapeutic vulnerability in male CRC.

cancer biology↗

bioRxiv2026

MG2Act: A Mechanism-Inspired Sequential Attention Framework for Molecular Glue Degradation Prediction

Molecular glue degraders act by inducing productive proximity between an E3 ligase and a substrate protein. For most characterized degradative glues, a small molecule first engages the E3, conditions its substrate-recognition surface, and only then enables recruitment of a compatible neo-substrate. This directionality is rarely encoded explicitly in computational models, which typically fuse molecule, E3 and target representations simultaneously. We present MG2Act, a structure-independent framework that translates this two-step logic into sequential cross-attention, using CRBN-mediated degradation as the most data-rich representative system. Starting from a curated continuous-valued benchmark of 1,207 pairs across 47 targets, a refined subset of 1,159 pairs was selected to train MG2Act after excluding rare targets. On identical processed data, MG2Act consistently outperforms machine learning baselines, robustly generalizes under strict redundancy-filtering, and responds coherently to mechanism-based perturbations. Prospective screening and zero-shot target-conditioned prioritization identified nanomolar degraders of IKZF1, CK1 and CDK4, including the non-classical IMiD-core CDK4 degrader SWC-202.

bioinformatics↗

bioRxiv2026

Cyclase-generated 3,5-cGMP activates PucsarTIR antiphage defense through a stepwise zig-zag aligned filament assembly

Bacteria use nucleotide second messengers to couple phage recognition to antiviral effector activation. Here, we identify Pucsar, an ofshoot of the Pycsar-related antiphage family, whose cyclases generate 3,5-cGMP from GTP, that are associated with Toll/Interleukin-1 receptor (TIR) and transmembrane (TM) effectors. In the PucsarTIR system, cGMP produced by cyclase PucC, selectively activates the cognate PucTIR NADase. X-ray crystallography shows that PucC adopts a dimeric cyclase scaffold with a guanine-compatible base-recognition pocket. Cryo-EM and mutational analyses revealed that apo-PucTIR, composed of cyclic nucleotide binding and TIR domains, is self-sequestered as an inactive tetramer, in which TIR domains are proximal but misoriented. Sequential cGMP binding remodels this assembly through partially occupied intermediates and stabilizes a fully cGMP-bound dimer, that polymerizes into a zig-zag aligned filament, creating composite NAD+-binding pockets required for efficient NADase activity. These findings establish 3',5'-cGMP as an antiphage second messenger and reveal how cyclic purine signaling converts self-sequestered TIR effectors into a NADase-competent filament.

microbiology↗

bioRxiv2026

Cellular senescence is associated with age-related loss of liver zonation and hepatocyte function

The liver is organized into tightly regulated zones with distinct metabolic functions but zonation erodes with age. Cellular senescence contributes to aging and liver diseases, however, its impact on aging biology is ill-defined. As part of The Cellular Senescence Network Consortium, we used multiple spatial transcriptomics approaches (GeoMx, Visium, CosMx) with snRNA-seq to profile senescence signatures, zonation markers, and metabolic pathways in livers from wild-type (WT) mice of multiple ages. We observed a loss of canonical zone signatures in aged mouse livers characterized by "expansion" of midlobular (zone 2) marker gene expression, accompanied by diminished expression of zone 3 marker genes by middle-age (18 months), indicative of loss of cell identity. Multiple analytic approaches identified distinct age-, zone- and sex-specific senescence signatures, which were significantly associated with zonation markers changes. This was recapitulated in Ercc1 mutant models of accelerated senescence, supporting a causal role of senescent cells in liver aging. A "no-zone" hepatocyte-like cluster expanded with age and with the strongest Senescence-Associated Secretory Phenotype (SASP) profile. Gene expression profiles from senescent hepatocytes implicate decreased WNT signaling and increased BMP as contributing to age-related loss of zonation. Together, these data elucidate the role of senescent cells in driving aging biology in non-diseased liver through disruption of cell:cell signaling and the loss of metabolic and cell identity gene expression necessary for hepatocyte function.

cell biology↗

bioRxiv2026

Design of high-affinity miniprotein antagonist targeting IL-4Ra for IL-4/IL-13 signal blockade

IL-4Ra is a key regulatory receptor for type 2 inflammatory responses, signal transduce from IL-4 and IL-13 through binding with IL-13Ra or the gamma c chain to activate the downstream JAK1-STAT6 pathway. IL-4Ra is currently the most successful "golden target" in the field of allergic disease therapeutics. Its representative monoclonal antibody drug, dupilumab, through the dual blockade mechanism of IL-4/IL-13 has pioneered a new era of precision therapy for type 2 inflammation. In our manuscript, we employed large-scale deep learning-based computational design methods to de novo design mini-protein antagonists specific for both human and mouse IL-4Ra. The binding affinity was improved from 22.1 nM to 569 pM through partial diffusion. The design accuracy and binding specificity were verified through X-ray crystallography and biochemical studies. In vitro IL4/IL13 signal blockade assays revealed that de novo designed monomeric mini-protein antagonist exhibited comparable blockade ability to bivalent dupilumab. In vivo pharmacokinetic half-life studies demonstrated that fusion to an HSA-binding domain extended the half-life of the mini-protein antagonist from 2.7 hours to 60.6 hours. The IL-4Ra mini-protein antagonist had excellent expression levels, solubility and thermal stability. The IL4/IL13 signal blockade ability remained unchanged even after being heating to 95 degrees. In conclusion, through large-scale cluster computing and deep learning-based de novo design, we developed well-performed IL-4Ra mini-protein antagonist, and demonstrates certain potential for drug development.

synthetic biology↗

bioRxiv2026

The cellular and genetic basis of inflorescence divergence between maize and teosinte

The domestication of maize from teosinte involved dramatic remodeling of the ear, yet the cellular and genetic bases of this transformation remain unclear. Here, we generate a single-nucleus and spatial transcriptome atlas of developing maize and teosinte ears. Comparative analysis reveals divergence in cob-associated cell types, with enhanced cytokinin signaling and reduced growth-inhibitory signals collectively driving cob thickening and enlargement in maize. We further demonstrate that domestication expanded the spatial expression domain of key transcription factors in maize meristem cells, enhancing the potential for increasing kernel number. Additionally, we verified a major domestication gene, ZmSPD1, in which two nonsynonymous SNPs differentiate maize from teosinte and alter jasmonic acid (JA) levels in the ear, thereby suppressing spikelet abortion to effectively double kernel production. These findings provide a cell-resolved mechanistic framework for how cob architecture and kernel number were shaped during maize domestication, offering new insights into the formation of key agronomic traits.

plant biology↗

bioRxiv2026

Phagocytic activity of perivascular cell promotes CNS injury pathology

Injury, stroke, and neurological diseases cause persistent accumulation of cellular debris that deteriorates lesion microenvironment and impedes central nervous system (CNS) repair. Debris clearance in the injured CNS has long been attributed primarily to microglia and infiltrating macrophages. Here, we identify perivascular cells as previously unrecognized phagocytes that expand after injury and exhibit robust phagocytic activity. Perivascular cell phagocytosis is conserved across multiple mouse models of CNS injury and human stroke lesions. These cells exhibit key hallmarks of phagocytosis, including LC3-associated phagocytosis for efficient lysosomal degradation. Mechanistically, phosphatidylserine serves as the eat-me signal and Axl mediates myelin debris uptake. Myelin phagocytosis drives perivascular cell proliferation, fibrosis and lesion progression. Genetic deletion of Axl in perivascular cells or pharmacological inhibition with the FDA-approved Axl inhibitor Gilteritinib reduces pathology and improves functional recovery after spinal cord injury. Together, these findings establish Axl-dependent perivascular cell phagocytosis as a therapeutic target for CNS repair.

neuroscience↗

bioRxiv2026

Working memory adaptively recomputes plans amid distraction

Navigating daily tasks requires working memory to retain information, formulate plans, and execute goal-directed actions. While frequent distractions may momentarily disrupt planned actions, individuals typically exhibit the cognitive resilience necessary to regroup and resume goal-directed behavior. How people adapt to these perturbations in dynamic environments remains unclear. To address this, we developed a working memory paradigm inspired by the arcade game Snake, in which participants navigated an agent to collect memorized targets while EEG and eye-tracking data were recorded. On each trial, participants encoded the location of one or two targets (apples), maintained them during a delay, and then guided a virtual agent (snake) to collect them. Critically, on 50% of trials, a secondary task introduced high-value novel targets that required immediate pursuit; these interruptions altered the agents spatial position, necessitating a re-evaluation of the original plan upon returning to the primary goal. Behaviorally, participants prioritized the target proximal to the agent and flexibly revised their collection order after distraction according to the agents updated position. Eye-movement analyses showed structured gaze sweeps during encoding that were consistent with efficient route planning. Representational similarity analyses of EEG data revealed that agent-centered object vectors were represented more strongly than absolute object locations during the delay. Following distraction, object vectors were recomputed relative to the agents new position, and representational strength was redistributed when the action plan was updated. Whereas neural representations were biased toward the distal, future-relevant target, gaze was preferentially directed toward the proximal, immediately relevant target, suggesting complementary roles for internal attention and external attention in multistep planning. During distraction, backward gaze sweeps revisited memorized target locations, indicating that replanning unfolded dynamically while the intervening task was still ongoing. These data demonstrate that prospective neural coding and attentional sampling coordinate to adapt behaviors to the shifting demands of goal pursuit in dynamic environments.

neuroscience↗

bioRxiv2026

Restoration of Capacity to Build Muscle Strength in Geriatric Mice by Inhibition of the Gerozyme 15-Prostaglandin Dehydrogenase

Loss of skeletal muscle mass and strength with age drives sarcopenia, a syndrome affecting >100 million people worldwide that leads to loss of mobility, independence, and increased mortality. Mechanical overload induces hypertrophy in young muscle, but this response is markedly attenuated with age--a poorly understood phenomenon termed "anabolic resistance." Here we test whether impaired paracrine communication between myofibers and their niche underlies this loss of plasticity in geriatric mice. In aged muscle, pharmacological inhibition of 15-PGDH restores prostaglandin E2 (PGE2) bioavailability and rescues the anabolic response, increasing muscle growth and contractile strength. Single-nuclei RNA-seq revealed a paracrine circuit: PGE2 drives IGF1 synthesis in type IIb myonuclei, which signals to stromal, myogenic, myonuclear, and immune cells. Blocking IGF1 receptor signaling abolished these gains, placing PGE2 upstream of an IGF1-mediated circuit that coordinates multicellular hypertrophy. Thus, 15-PGDH inhibition is a pharmacological strategy to overcome the anabolic resistance and rebuild muscle in aging.

cell biology↗

bioRxiv2026

LTBP isoforms differentially encode TGF-β spatial localization and activation

TGF-{beta} signals through a conserved pathway yet produces diverse outcomes, pointing to regulatory mechanisms upstream of receptor engagement. A family of four latent TGF-{beta} binding proteins (LTBPs) tether pro-TGF-{beta}s and control their localization and activation, but how distinct LTBPs contribute to this regulation is unclear. Here we combine cryo-electron microscopy with functional assays to dissect LTBP-pro-TGF-{beta} interactions. We resolve the LTBP-1/pro-TGF-{beta}1 and LTBP-3/pro-TGF-{beta}3 complex structures, revealing a conserved yet plastic hydrophobic binding interface, and systematically map key residues across all four LTBP and three pro-TGF-{beta} subtypes that determine binding specificity and affinity. Unexpectedly, LTBP-2, previously thought incapable of TGF-{beta} binding, engages pro-TGF-{beta}1 through a covalent linkage via its 16th EGF-like domain, providing a mechanistic link between LTBP-2 function and TGF-{beta} signaling. Beyond tethering, LTBP-3 shifts pro-TGF-{beta}3 from spontaneous activation toward integrin dependence, establishing LTPBs as dynamic modulators that dictate not only where but also how TGF-{beta} is unleashed. Collectively, these findings establish that LTBPs are not redundant ECM scaffolds but a family of functionally distinct regulators that differentially encode TGF-{beta} spatial localization and activation, with implications for isoform-selective therapeutic strategies.

biochemistry↗