Biology subjects

Yu, J.

Publications and source records attributed to Yu, J..

At least 55 records · Page 3Linked to original sources

bioRxiv2026

Origin of the GPR15LG-GPR15 signaling axis in ancient fish ancestors

The chemokine-like peptide GPR15LG is a known agonist of G protein-coupled receptor 15 (GPR15), a ligand-receptor pair primarily implicated in mammalian mucosal immunity and lymphocyte homing. However, the evolutionary origin and phylogenetic distribution of this signaling system remain poorly understood due to the extreme sequence diversity of GPR15LG orthologs. In this study, we identified GPR15LG orthologs in several fish species for the first time according to their conserved gene synteny, genomic organization, and amino acid sequence features. A representative ortholog from the spotted gar (Lepisosteus oculatus), termed Lo-GPR15LG, was recombinantly prepared and functionally characterized using NanoLuc Binary Technology (NanoBiT)-based {beta}-arrestin recruitment assay and homogenous ligand-receptor binding assay. Our results demonstrated that Lo-GPR15LG directly binds to and efficiently activates its cognate receptor, Lo-GPR15, with a dissociation constant (Kd) of approximately 60 nM and an EC50 value of approximately 10 nM. Functional assays further revealed that receptor activation is critically dependent on the conserved C-terminal residues. Notably, human and fish orthologs exhibited no cross-species activity, consistent with their high sequence divergence. These findings reveal that the GPR15LG-GPR15 signaling system originated in ancient fish ancestors and has remained a conserved signaling axis throughout vertebrate evolution, suggesting a fundamental role in immunity across all vertebrate lineages.

biochemistry↗

bioRxiv2026

PETase Kubu enables near-complete enzymatic depolymerization of commercial PLA/PBAT blend mulch film

Agricultural mulch films improve crop productivity, but post-use recovery and recycling remain difficult because the films are thin, fragmented, dispersed across fields, and contaminated. Commercial PLA/PBAT blends are increasingly used as biodegradable mulch film materials, yet these films exhibit slow or incomplete degradation under environmental conditions. Here, we show that Kubu, a thermostable PETase from Kutzneria buriramensis, rapidly depolymerizes commercial PLA/PBAT mulch film without pretreatment at 60 {degrees}C, achieving 95% mass loss within 96 h and releasing terephthalate, adipate, and lactate, detected by LC-MS/MS and HPLC, as the major monomeric products of both PBAT and PLA components. GPC and SEM revealed extensive degradation at the polymer-water interface. DiffDock docking against Kubu, IsPETase, and TfCut indicates that the canonical W/F(Y) cleft of the PETase/Cutinase fold accommodates aliphatic and aromatic ester bonds with comparable geometry, suggesting that substrate promiscuity is an inherent property of the cleft architecture. Kubus distinctive contribution combines this permissive cleft with catalytic activity sufficient for near-complete blend depolymerization within 24 h. Integration with a socioeconomic analysis shows that complete enzymatic depolymerization could avoid social costs up to $4,087 per ton of mulch film. These findings establish a single-enzyme approach to end-of-life management of heterogeneous polyester blends.

bioengineering↗

bioRxiv2026

Atomic layer deposition for core-shell microparticle vaccines enabling programmable antigen delivery to lymph nodes enhance humoral immune responses

Technologies that simplify complex dosing regimens as single-shot immunizations may be important for vaccines against difficult to neutralize pathogens. Here we characterized delivery mechanisms of core-shell microparticles comprising clinically-relevant HIV immunogen formulations spray-dried to form solid spherical microparticles and subsequently coated with a nanoscopic alumina shell using atomic layer deposition (ALD). ALD particles exhibited a time delay in antigen release programmed by the alumina shell followed by prolonged antigen release, which steadily accumulated in antigen-presenting cells at the injection site and draining lymph nodes and accumulated on follicular dendritic cells in B cell follicles. ALD vaccines elicited continuous expansion of antigen-specific germinal center B cells over 8 weeks, serum antibody responses with >10-fold slower antigen-binding off-rates, and 2-fold more long-lived plasma cells compared to traditional bolus vaccination with potent adjuvants. Single administration ALD technology thus promotes key events in the primary immune response important for vaccines against HIV and other challenging pathogens.

immunology↗

bioRxiv2026

A Monoclonal Antibody Panel to Track Ongoing Antigenic Evolution of SARS-CoV-2 Variants

SARS-CoV-2 continues to evolve, generating successive variants with enhanced resistance to antibody-mediated neutralization. However, many existing monoclonal antibody (mAb) repertoires were derived from exposures to ancestral or early Omicron strains and thus incompletely capture the antigenic landscape of newly emerging strains. Here, we generated a mAb panel by immunizing naive, unimprinted VelocImmune humanized mice with spike from the KP.3.1.1 variant, and isolated and characterized 11 neutralizing antibodies targeting diverse epitopes of recently evolved antigenic variants. We then integrated these antibodies with previously characterized mAbs to establish an expanded toolbox for profiling antigenic evolution among emerging variants. Application of this panel to currently emerging SARS-CoV-2 variants provided mechanistic insight into recent antigenic evolution, highlighting the potential role of altered receptor-binding domain conformation. Our data also revealed clear differences in antibody-evasion profiles between JN.1-derived lineages and BA.3.2 lineages. Together, our findings establish an updated mAb panel for monitoring SARS-CoV-2 antigenic evolution.

microbiology↗

bioRxiv2026

From unsupervised clustering to atlas-guided annotation in cohort-scale spatial omics with HiCAT

Pathologist-annotated tissue regions provide a fundamental reference for examining spatial omics data, yet such annotations are available for a limited number of samples due to the substantial manual effort required. Moreover, these annotations are derived from morphology within individual histology images, which can overlook molecularly defined regions and obscure intra-sample heterogeneity. To address these limitations, we present HiCAT, a machine-learning framework that automatically generates pathologist-informed region annotations and characterizes regional heterogeneity in spatial omics data. Across seven datasets, HiCAT consistently outperforms state-of-the-art methods, achieving a median relative improvement of 107% in accuracy. Beyond transferring pathologist annotations, HiCAT uncovers molecularly informed regional heterogeneity not captured by original annotations, including tumor subregions associated with clinical outcomes and brain subregions aligned with spatiotemporal disease progression. By generating consistent, highly granular, and biologically informative region annotations across large cohorts, HiCAT enables scalable downstream analysis and provides training labels for foundation models in spatial biology.

genomics↗

bioRxiv2026

Microbiota-derived TMAO links PM2.5 exposure to cognitive impairment: A gut liver brain axis

Although fine particulate matter (PM2.5) is linked to cognitive impairment, the mechanistic links between pulmonary exposure and neurodegeneration remain poorly understood. This study investigates the role of the gut-liver-brain axis in mediating PM2.5-induced neurotoxicity. We demonstrate that three weeks of intratracheal PM2.5 instillation in mice causes significant memory deficits, impaired hippocampal adult neurogenesis, and reduced synaptic plasticity in both sexes. Metagenomic analysis revealed that PM2.5 alters gut microbiota composition, specifically by upregulating pathways involved in trimethylamine (TMA) synthesis. This microbial shift led to a systemic increase in the metabolite trimethylamine N-oxide (TMAO) and its accumulation in the hippocampus. Mechanistic experiments revealed that TMAO drives neurotoxicity by activating the hippocampal PERK-mediated endoplasmic reticulum (ER) stress pathway. Critically, these deficits were reversed by suppressing hepatic TMAO production via either pharmacological inhibitors or genetic knockdown. Additionally, hippocampal-specific PERK silencing or dietary resveratrol intervention attenuated hippocampal ER stress, thereby protecting against PM2.5-induced cognitive and hippocampal impairments. These results identify the microbial metabolite TMAO as a key mediator of air pollution-related neurotoxicity and highlight the gut-liver-brain axis as a promising therapeutic strategy to counteract the neurological impacts of air pollution.

animal behavior and cognition↗

bioRxiv2026

Decoding Immune Reconstitution Failure in People Living with HIV through Single-cell Genomics

Immune non-responders (INRs), a subset of people living with HIV (PLWH), fail to achieve full immune reconstitution and remain at increased risk of morbidity, mortality, and non-AIDS-related illnesses. As the mechanisms underlying this impaired immune recovery remain poorly understood, we performed single-cell multi-omics profiling on peripheral blood mononuclear cells from 43 INRs, 47 immune responders and 53 healthy donors. Our dataset comprises 2,744,009 transcriptomes and 1,226,658 chromatin-accessibility profiles across 58 identified immune cell types. INRs exhibited markedly elevated inflammatory signaling, increased apoptotic activity, and dysregulation of immune-activating ligand-receptor interactions. Additionally, we identified 2,996 interaction cis-eGenes and 5,938 cis-caPeaks, and validated key cell type-specific cis-xQTL effects associated with immune reconstitution failure. Furthermore, we identified 3,551 sc-eQTLs and 872 cell-state interaction eQTLs (ieQTLs) in CD4+ T cells. A genotype-specific upregulation of OAS3 in INRs, likely regulated by STAT1, was identified based on these results. We developed scPRISM (single cell Predictive Reconstitution Immune Status Model), a multi-modal framework that integrates scRNA-seq and scATAC-seq data to perform the dual tasks of differentiating disease states and predicting gene expression from chromatin accessibility, thereby deciphering the cell type-specific cis-regulatory basis of the disease. Our study delineates the transcriptional and epigenomic landscape of immune dysregulation in INRs and provides new genetic insights into HIV-associated immune reconstitution failure. These findings offer a foundation for developing biomarkers and precision therapies to restore immune function in PLWH.

genetics↗

bioRxiv2026

Generalist large language models complement tailor-made predictors for tumor genomics interpretation

General-purpose large language models (LLMs) are trained on large corpora to acquire broad knowledge, but whether LLMs can replace, or augment, task-specific models is unclear. We evaluated LLMs on three real-world, clinically important tumor genomic interpretation tasks, in order of increasing difficulty: (i) distinguishing tumor from non-tumor mutations (n=34,415 variants), (ii) distinguishing driver from passenger mutations (n=13,469 variants), and (iii) inferring cancer type from tumor sequencing reports across multiple assays and institutions (n=102,791 samples). The best general-purpose LLMs performed as well as the benchmark tailor-made predictor for task (i). Ensembling tailor-made models with zero-shot LLMs improved their performance for tasks (i) and (ii). For task (iii), LLMs outperformed or supplemented tailor-made models on out-of-distribution data. Without fine-tuning, current LLMs already can be useful in clinical genomic interpretation by adding complementary expertise to tailor-made, state-of-the-art predictors.

genomics↗

bioRxiv2026

Ratiometric transcriptional activation by protein degradation

Cells can respond to alterations in the abundances of specific proteins through transcriptional outputs. Synthetic approaches inspired by native post-transcriptional circuits that convert protein abundance changes into programmable gene expression would be transformative. Here, we discover and describe design principles that effectively convert protein degradation into transcriptional outputs in live cells. We define ratiometric transcriptional activation, where control over the ratio between a transcriptional inhibitor-protein of interest fusion and transcription factor enables detection of abundance changes with high sensitivity at scale. We show that ratiometric transcriptional activation can be implemented in single cells using triply orthogonal circuits or in multicellular pools, operating independently of mechanism of protein downregulation and enabling simultaneous detection of multiple protein downregulation events through outputs such as cell survival, fluorescent protein expression, or barcode sequencing. These circuits can be applied to oncogenic targets and enable discovery of new molecular glue degraders.

synthetic biology↗

bioRxiv2026

Evolutionary Conservation and Divergence of CXCL17 orthologs: Functional Evidence in Reptiles and Loss in the Avian Lineage

The mucosal chemoattractant C-X-C motif chemokine ligand 17 (CXCL17) was recently identified as a ligand for the orphan G protein-coupled receptor 25 (GPR25). Although our recent studies have identified non-mammalian CXCL17 orthologs in fishes and amphibians, their presence in reptiles and birds remains unclear. In this study, we employed bioinformatic searches based on gene synteny and sequence features to identify reptilian and avian CXCL17 orthologs in public databases. We identified intact CXCL17 orthologs in 46 reptilian species, including lizards, snakes, turtles, and alligators. In contrast, we found only CXCL17 gene relics in 22 bird species, suggesting the avian lineage lost functional CXCL17 during evolution. A recombinant reptilian CXCL17 from the loggerhead turtle (Caretta caretta), termed Cc-CXCL17, directly bound to and efficiently activated its corresponding receptor, Cc-GPR25, in a C-terminal fragment-dependent manner. Activation of Cc-GPR25 by recombinant Cc-CXCL17 also induced chemotactic movement of transfected human embryonic kidney (HEK) 293T cells. In cross-species activity assays, recombinant CXCL17s from other species had almost no activity towards Cc-GPR25; Cc-CXCL17 and human CXCL17 had low activity towards mallard GPR25, but all tested CXCL17s had no detectable activity towards chicken GPR25. Our findings demonstrate the presence of functional CXCL17 orthologs in extant reptiles and provide evidence for their evolutionary loss in the avian lineage, offering new insights into the phylogenetic distribution of the newly identified CXCL17-GPR25 signaling system. -

biochemistry↗

bioRxiv2026

An Engineered Halotolerant Chimeric T7 RNA Polymerase for High-Yield, Low-Immunogenicity Synthesis of RNA via Simple Batch Transcription

The rapid advancement of mRNA therapeutics has imposed stringent requirements on both the quality and scalability of in vitro transcription (IVT) products. However, the accumulation of double-stranded RNA (dsRNA) byproducts and 3-terminal heterogeneity during T7 RNA polymerase (T7 RNAP)-mediated transcription can robustly trigger deleterious innate immune responses and compromise translation efficiency. Existing enzyme engineering strategies frequently struggle to reconcile the trade-offs between salt tolerance, volumetric productivity, and product purity. Here, we report a novel engineering strategy for halotolerant T7 RNAP by fusing optimized mutant polymerases with diverse DNA-binding domains (e.g., Sso7d, MC1). This approach orchestrated the development of a series of chimeric T7 RNAP mutants designed to bolster catalytic activity and template selectivity under high-salt conditions while concurrently suppressing RNA-dependent RNA polymerase (RdRP) activity. Our lead chimeric mutants exhibited exceptional salt tolerance and processivity in the presence of up to 270 mM NaCl. Notably, these mutants significantly diminished dsRNA formation to less than 0.001%, while markedly improving transcript integrity and 3 homogeneity, thereby facilitating superior translation efficiency for both linear mRNA and circular RNA (circRNA). Crucially, this heightened salt tolerance does not necessitate a trade-off in RNA yield, affording broader flexibility for downstream process optimization. In an enzymatic circRNA synthesis system, these mutants enabled a non-fed-batch configuration with high initial rNTP concentrations (15 mM each), resulting in a 50% increase in yield and achieving an unprecedented titer of 15 mg/mL. This research provides a robust enzymological solution that harmonizes quality and productivity for the industrial-scale manufacturing of high-concentration, low-immunogenicity RNA.

genomics↗

bioRxiv2026

A Panel of Human Monoclonal Antibodies for Tracking the Antigenic Evolution of Influenza H5N1 Clade 2.3.4.4b

The ongoing panzootic of clade 2.3.4.4b H5N1 influenza has resulted in widespread infection of birds, mammals, and livestock, underscoring the need for tools to interpret its real-time evolution. Here, we describe the isolation and characterization of a panel of 19 human monoclonal antibodies that potently neutralize current isolates. Competition immunoassays and cryo-electron microscopy analyses revealed their collective near-complete epitope coverage of the H5-hemagglutinin surface. Neutralization profiling across multiple historical and contemporary H5 viruses defined their epitope-specific patterns of virus neutralization. One cluster of antibodies potently neutralized only clade 2.3.4.4b viruses, while many others exhibited broadly neutralizing activity against diverse H5N1 clades. Application of this structurally calibrated antibody panel to recent North American human isolates revealed genotype-specific antigenic divergence between lineages that have spread among cattle (B3.13) and poultry (D1.1). Together, the findings of this study establish a structurally grounded antibody reference panel spanning major vulnerable sites of H5 hemagglutinin and provide a toolbox for interpreting emergent mutations, monitoring ongoing antigenic drift, and anticipating the evolutionary trajectory of circulating H5N1 influenza viruses.

microbiology↗

bioRxiv2026

Ligand stabilization enables physiological GITR signaling and antitumor immunity

Agonistic antibodies targeting the costimulatory receptor GITR have failed in clinical trials despite a strong preclinical rationale, revealing fundamental limitations of receptor-targeted approaches to TNF superfamily agonism. Here, we demonstrate that pharmacological stabilization of the trimeric structure of human GITRL represents a mechanistically distinct strategy to overcome these limitations. Small-molecule stabilization of GITRL preserves its membrane residency. It enables bidirectional signaling between antigen-presenting cells and T cells, a physiological context that receptor-targeted antibodies bypass through non-physiological clustering of GITR. In humanized GITR/GITRL double-knock-in mice bearing syngeneic tumors, GITRL stabilization expands cytotoxic CD8 T cells, selectively depletes intratumoral regulatory T cells, activates APCs, and restructures the immune spatial architecture. In patient-derived tumor explants, GITRL stabilization reactivates suppressed CD8 T cells in an APC-dependent manner. Our findings establish ligand stabilization as a mechanistically distinct therapeutic strategy and provide a framework for engaging TNF receptor superfamily costimulatory pathways by modulating their native ligands.

cancer biology↗

bioRxiv2026

Towards autonomous biology: Compiler-Verified Protocols as a Foundation for Real World AI Execution

Artificial intelligence has advanced from analyzing experimental data to autonomously generating hypotheses, designing experiments, and coordinating closed loop discovery. Yet the translation from computational reasoning to physical execution remains bottlenecked by the experimental protocol, which in biology still relies on ambiguous natural-language descriptions: a medium other engineering disciplines abandoned decades ago in favor of compiler verified specification languages. This deficit fragments reproducibility along three axes: protocol accuracy, pre execution verification, and cross platform portability. Existing formalisms address only subsets of these challenges, trading expressiveness for rigor, portability for standardization, or usability for provenance. Here we introduce the Biology Protocol Language (BPL), a domain specific language with a biology-native type system in which every quantity carries physical units, every reagent declares its physical form, and every container maintains compiler-tracked state, so that implicit assumptions must be stated explicitly and physically impossible operations are rejected at compile time. We further develop BPL-COGEN, a pipeline that couples a fine tuned 30 billion parameter language model with the deterministic compiler in a closed generate validate repair loop, iteratively correcting the translation from natural language SOPs to BPL through compiler diagnostics until all physical, dimensional, and state constraints are satisfied. On a benchmark of 300 published Nature Protocols papers, BPL COGEN achieved an overall fidelity score of 95.1 against the source protocols as ground truth. Wet-lab experiment and cross-platform validation in GFP expression library construction and HPLC to UHPLC method translation confirmed that a single BPL source yielded reproducible execution across manual and liquid handler assisted contexts. The results established a novel pipeline that generates compiler-verified protocols, which is an essential prerequisite for physically embodied AI in biology.

synthetic biology↗

bioRxiv2026

Potential of HLA-E-targeting diabodies to induce lysis of HIV-1-infected cells by CD8+ T cells

A long-lived reservoir of cells harboring intact HIV-1 provirus persists throughout decades of antiretroviral therapy and can give rise to rapid viral rebound after treatment interruption. Some cure strategies employ cytotoxic T lymphocytes (CTL) to target this reservoir; however, the applicability and efficacy of immunotherapeutic strategies involving MHC class I-restricted CTL is limited by the polymorphic nature of MHC class I molecules and their downregulation by HIV-1 Nef. The non-polymorphic non-classical class I molecule HLA-E is stably expressed on HIV-1-infected CD4+ T cells and presents a potential universal target. We generated a single-chain diabody RLP-13 that redirects CTLs to target cells presenting a well-characterized peptide derived from Mycobacterium tuberculosis in the context of HLA-E. We verified the affinity and specificity of RLP-13. Through co-culture experiments, we confirmed that RLP-13 mediates polyfunctional, HLA-agnostic CTL responses. Using an HIV-1 reporter construct encoding the target peptide, we demonstrated robust and specific elimination of the HIV-1-expressing cell population. This proof-of-concept study shows that HLA-E antigens are promising immunotherapeutic targets that can bypass the limitations of classical MHC class I antigens - allelic variation and downregulation - and that such bispecific antibodies recognizing HIV-1-derived HLA-E binding epitopes could induce elimination of productively infected cells. SummarySengupta, Bachmann et al. utilize a novel HLA-E-restricted CD3-engaging single-chain diabody to induce antigen-specific polyfunctional CTL-responses that are HLA-type-independent. They further show that such biologics have potential to eliminate HIV-1-infected cells by targeting HLA-E-binding epitopes encoded in the HIV-1 provirus.

microbiology↗

bioRxiv2026

Cell membrane proteome profiling uncovers molecular signatures and GPCR regulators underlying diet-induced obesity and exercise-mediated adaptation

Cell membrane proteins (CMPs), notably G protein-coupled receptors (GPCRs) and receptor tyrosine kinases (RTKs), represent the largest class of druggable targets. Despite their therapeutic importance, how the CMP landscape is systemically remodeled during metabolic disease progression and in response to exercise remains poorly understood. Here, we constructed the most comprehensive CMP proteome atlas to date across 22 male mouse tissues and established the first multi-tissue map of GPCR-associated protein hormones/prohormones. Integrated CMP proteomic and transcriptomic analysis revealed that diet-induced obesity and its progression to type 2 diabetes remodel the CMP repertoire in patterns distinct from those induced by exercise. We found that numerous GPCRs and RTKs critical for energy homeostasis are dysregulated during obesity in a tissue-specific manner, and these alterations are reversed to varying extents by exercise training. Importantly, our CMP-centric omics study identified two parathyroid hormone receptors (PTHRs) in the hypothalamus as negative regulators of feeding and body weight. Genetically silencing these hypothalamic PTHRs led to severe obesity even on a chow diet and markedly blunted exercise-induced weight loss. Collectively, our study provides not only new insights into systematic CMP regulation underlying metabolic deterioration versus exercise adaptation, but also nominates potential receptor targets for obesity management.

biochemistry↗

bioRxiv2026

Single-crypt evolutionary trajectories of human sporadic and hereditary colorectal precancers

Our understanding of the earliest genomic processes and evolutionary trajectories that distinguish sporadic from hereditary human cancers remains limited, impeding early diagnosis and risk stratification. Here, we performed whole-genome sequencing of 319 single crypts dissected from normal colorectal mucosa, premalignant polyps and malignant colorectal cancers (CRCs) from five sporadic patients and three familial adenomatous polyposis (FAP) patients. We found 66% of premalignant crypts from sporadic polyps did not harbor APC mutations, but frequently accumulated non-canonical but positively selected driver mutations including KMT2C, CACNA1A and FBLN2. In contrast, most premalignant crypts (71%) in FAP indeed acquired one or more somatic APC mutations or 5q loss of heterogeneity (LOH). Sporadic polyps were dominated by clock-like mutational processes at single-crypt level. In contrast, FAP crypts evolved more diverse genomics processes, including reactive oxygen species-associated damages, APOBEC-associated mutagenesis and pks+ Escherichia coli-associated mutagenesis. Premalignant crypts in FAP also exhibited a 2-fold higher burden of LINE-1 retrotranspositions than sporadic ones, despite arising at a substantially younger age. Phylogenetic timing estimations showed that the first somatic APC mutation in FAP often occurs prenatally. Phylogeographic analysis further revealed spatial lineage segregation in early polyclonal polyps, followed by Big-Bang lineage intermixing in later monoclonal ones. Together, these data demonstrate that early colorectal tumorigenesis does not obey a universal APC-first model, where sporadic and hereditary precancers follow distinct evolutionary trajectories. Our study also highlights that polyclonal-to-monoclonal transition in premalignant stages represents the Big-Bang growth of colorectal tumors, offering crucial insight into early diagnosis and risk stratification.

cancer biology↗

bioRxiv2026

FABP4 Couples Lipid Metabolism to PD-L1 Stabilization in Immunosuppressive Macrophages

Metabolic dysregulation in obesity reshapes immune function, but how lipid signals drive immune suppression remains unclear. Here, we identify a FABP4-PD-L1 axis that links lipid metabolism to immune checkpoint regulation in monocytes and macrophages. Single-cell transcriptomics revealed a distinct FABP4high immunosuppressive macrophage subset enriched under high-fat diet (HFD) conditions, characterized by impaired antigen presentation and elevated PD-L1 expression. Mechanistically, palmitic acid (PA) induces FABP4 and promotes PD-L1 palmitoylation, leading to its stabilization on the cell surface independent of transcriptional regulation. FABP4 is essential for this process, which enables PD-L1 surface stabilization, immunosuppression and mammary tumor progression. In humans, a conserved CD14intCD16 monocyte population exhibits elevated FABP4-PD-L1 signaling and correlates with obesity and invasive breast cancer. These findings establish PD-L1 as a metabolically regulated protein and reveal a mechanism by which lipid excess drives immune evasion, suggesting that targeting FABP4 may enhance responses to immune checkpoint blockade. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/717546v1_ufig1.gif" ALT="Figure 1"> View larger version (50K): org.highwire.dtl.DTLVardef@1fe3f2corg.highwire.dtl.DTLVardef@e587a7org.highwire.dtl.DTLVardef@12d0f75org.highwire.dtl.DTLVardef@151f916_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIFABP4 defines a lipid-responsive, immunosuppressive monocyte/macrophage subset C_LIO_LIFABP4 links lipid sensing to PD-L1 expression in macrophages C_LIO_LIFABP4 enables palmitic acid-dependent PD-L1 palmitoylation and stabilization C_LIO_LIFABP4-PD-L1 signaling correlates with obesity and invasive breast cancer in humans C_LI

immunology↗