Biology subjects

Xu, C.

Publications and source records attributed to Xu, C..

At least 55 records · Page 3Linked to original sources

bioRxiv2026

HLA-G engineering reprograms CAR-T cells with an immune privilege

Personalized T cell therapy empowered by chimeric antigen receptor (CAR) that recognizes specific tumor antigen has cured numerous blood cancer patients since its initial approval in 2017. However, its access to a broader population has been limited by the unavailability of an off-the-shelf product derived from an allogeneic donor that can evade immune rejection, which is mediated by polymorphic class I and class II human leukocyte antigens (HLAs). Since class II HLAs are only expressed in specialized antigen-presenting cells but not T cells, it might suffice to evade T cells by deleting the common class I HLA light chain Beta-2 Microglobulin (B2M) (1). However, B2M-deficient cells can trigger a "missing-self" response to activate natural killer (NK) cells (2), a second function that was evolved to compensate loss of T cell response. Inserting a less polymorphic class I HLA gene encoding a known NK inhibitory ligand, namely HLA-E or HLA-G (3), into the B2M locus so that the endogenous B2M expression is disrupted could theoretically allow evasion of both T and NK cells. Despite being a seemingly better candidate in that HLA-G is uniquely expressed in immune-privileged sites such as the placenta with a believed function in protecting the fetus from immune rejection by the pregnant mother, whereas ubiquitously-expressing HLA-E is known to bind both inhibitory and activating NK receptors (4, 5), only HLA-E engineering has been attempted yet without convincing success in vivo (6, 7). Here, we generate an off-the-shelf CAR-T product with B2M replaced by a gene fusion encoding an HLA-G single-chain trimer under minimally impacted B2M epigenetic landscape, and observe its immune evasion property and a tumor-inhibitory function that is equivalent to its autologous control using a humanized mouse model for the first time with T and NK cells reconstituted from a donor with a distant HLA haplotype. HLA-G engineering may thus reprogram T cells into an immune-privileged state that can be utilized for all cell-based therapies.

immunology↗

bioRxiv2026

Integrated RNA-seq analysis identifies ABC transporters mediating taxane export in Taxus species

RNA-seq datasets from medicinal yews are crucial for studying paclitaxel biosynthesis. However, cross-study data analyses are hindered by pronounced batch effects. Here, we compiled 45 RNA-seq samples from three studies across four tissues (bark, leaf, root, stem) and assessed 35 preprocessing pipelines combining six normalization strategies with five batch-effect correction approaches. Unsupervised clustering (HCA, k-means, Grade-of-Membership), evaluated using Jaccard and Adjusted Rand indices, revealed significant variability in batch effect removal. Supervised classification of tissue and project labels (Random Forest and linear/radial SVM) demonstrated improved accuracy in tissue type prediction, highlighting the effectiveness of correction methods. The processed data facilitated the identification of 189 putative ABC transporters across samples, six of which showing a strong correlation to the gene encoding 10-deacetylbaccatin-III-10{beta}-O-acetyltransferase, a key biosynthetic enzyme in the taxol pathway. High expression levels in leaf and bark further support their role in taxane intermediates trafficking in taxol biosynthesis. Structural analysis and molecular docking further supported the selection of these candidates, and the agreement between transcriptomic ranking and docking-based prioritization suggests that these transporters may participate in taxane intermediate recognition, trafficking, or export. These findings demonstrate the importance of normalization and batch effect correction in RNA-seq analysis to advance gene discovery in Taxus species and, more broadly, in plant research. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=152 SRC="FIGDIR/small/723993v1_ufig1.gif" ALT="Figure 1"> View larger version (54K): org.highwire.dtl.DTLVardef@1469162org.highwire.dtl.DTLVardef@1f2c4deorg.highwire.dtl.DTLVardef@15ad821org.highwire.dtl.DTLVardef@123676d_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

bioRxiv2026

Modular Albumin-Chaperoned NIR-II Nanofluorophores Enables Pan-Ovarian Cancer Imaging Across Multiscale Tumor Models

Ovarian cancer remains the most lethal gynecological malignancy, primarily due to late-stage diagnosis and the challenges of achieving complete cytoreduction. While fluorescence image-guided surgery (FIGS) offers intraoperative visualization, current clinical agents are limited by insufficient brightness, rapid photobleaching, and poor molecular selectivity, particularly in the near-infrared window. Here, we report the rational modular design of ultrabright NIR-II semiconducting polymer (SP) nanofluorophores for high-fidelity ovarian cancer imaging. By nanoconfining of a representative hydrophobic SP within a functional albumin matrix induces a "chaperone" effect that suppresses aggregation-induced quenching and shifts emission in the NIR-II window (1000-1250 nm). This platform integrates a dual-receptor targeting strategy, leveraging intrinsic albumin-receptor interactions (GP60 and SPARC) alongside folate receptor alpha (FR) functionalization. This synergistic approach enables pan-ovarian cancer imaging by ensuring high-affinity binding across diverse tumor phenotypes, regardless of heterogeneous receptor expression. Across a multiscale validation framework, the nanofluorophores demonstrate efficient receptor-mediated endocytosis in 2D cultures and deep interstitial penetration in 3D tumor spheroids. Furthermore, microfluidic tumor-on-chip models incorporating endothelial-like fenestrations confirm controlled extravasation and targeting under physiological shear stress. 3D bioprinted tumor phantoms and ex vivo porcine ovary tissues further confirm that BSA-FA@SP2 provides superior lesion delineation and signal-to-background ratios compared to indocyanine green, a clinical standard. Importantly, the nanofluorophores exhibit excellent hemocompatibility, with minimal hemolysis and negligible complement activation, indicating a non-immunogenic, stealth profile. Collectively, this work establishes albumin-shielded NIR-II nanofluorophores as a robust platform for precision intraoperative pan-ovarian imaging and advances the translational potential of nanotechnology-enabled surgical oncology.

bioengineering↗

bioRxiv2026

NFIC-mediated CaSR endocytosis defines a hyperactive TOMM20highCHGAhigh oxyphil cell state as a pathological driver of autonomous secondary hyperparathyroidism

Secondary hyperparathyroidism (SHPT) is a debilitating complication of chronic kidney disease. Its clinical management is frequently compromised by calcimimetic resistance, a refractory state primarily driven by the progressive downregulation of the membrane calcium-sensing receptor (CaSR). Despite the centrality of CaSR as a therapeutic target, the mechanisms governing its aberrant expression and membrane localization remain incompletely elucidated. Here, we generated a single-cell transcriptomic atlas of human parathyroid tissues from SHPT and primary hyperparathyroidism (PHPT) patients, uncovering a unique stromal-immune niche that is specifically induced by uremic stress in SHPT. Our data also observed a striking dissociation between CaSR mRNA and its abundance as a membrane protein in SHPT tissues. Pseudotime trajectory analysis showed a progressive decline in CaSR pathway activity and a concomitant increase in endo-lysosomal activity along the trajectory, terminating in pathological oxyphil cells as the endpoint of chief cell differentiation in SHPT. Mechanistically, Nuclear Factor I C (NFIC) transcriptionally activated clathrin light chain B (CLTB) and Ras-related protein Rab7a (RAB7A) to trigger clathrin-mediated endocytosis and lysosomal degradation of CaSR, thus reducing its membrane abundance. This degradative program was further validated by multiplex immunofluorescence in TOMM20highCHGAhigh pathological oxyphil cells in human SHPT tissues. To translate these mechanistic findings into a clinically actionable strategy, we repurposed the clinically approved lysosomal inhibitor hydroxychloroquine (HCQ) to block this CaSR degradation pathway. In patient-derived xenograft (PDX) mouse models, co-administration of HCQ and cinacalcet acted synergistically to restore membrane CaSR expression, normalize serum PTH and calcium levels and suppress parathyroid tumor growth more effectively than monotherapies. Collectively, our single-cell-guided study identifies an NFIC-driven endo-lysosomal program as a previously unrecognized mechanism underlying CaSR downregulation and calcimimetic resistance in SHPT, and establishes HCQ repurposing as a clinically tractable therapeutic strategy for patients with refractory SHPT.

cell biology↗

bioRxiv2026

Striatal FOXP2 is essential for stable vocal production in non-human primates

The transcription factor FOXP2 is the most well-known language-related gene in humans, yet its role in primate vocalization remains poorly understood. Here we report that knockdown of FOXP2 in the striatum markedly disrupts vocalization stability in the marmoset monkey, a valuable non-human primate model for studying vocal behavior. FOXP2 exhibited high expression in the marmoset striatum, especially during early development. Using the CRISPR-Cas12 system, we achieved specific in vivo editing of the FOXP2 gene and effective knockdown of FOXP2 protein expression in the marmoset striatum. Two neonatal marmosets received bilateral striatal injections of the gene-editing and control virus, respectively, and were raised together in the same family. In three such marmoset pairs, analysis of vocalizations recorded during 6-15 weeks post-injection revealed that striatal FOXP2 knockdown significantly altered vocal features and increased intra-individual variability in phee syllables--the most common marmoset vocalization, often produced repetitively as multi-syllable phee calls. Notably, in FOXP2-edited marmosets, acoustic alterations were minimal in the first syllable of phee calls but became progressively more pronounced in subsequent syllables, which exhibited a marked upward shift in the frequency spectrum over time with progressively steeper slopes. These temporal dynamics in vocal features reflect a reduction in the stability of continuous vocal production. In line with the known striatal functions in motor control, our findings provide the first evidence of FOXP2 in controlling vocalization in non-human primates, thereby opening new avenues for investigating the neural mechanisms underlying FOXP2 function.

neuroscience↗

bioRxiv2026

The Structural Code of Breast Cancer Proteoform: Alternative Splicing-driven Protein Isoform Variation and Functional Diversification

Alternative splicing generates extensive transcript diversity, but the extent to which this diversity contributes to the translated proteome and reshapes protein function remains unclear. Here, we develop 3DisoGalaxy, an atlas integrating transcript reconstruction, ribosome profiling, structural modelling and regulatory annotation in breast cancer. We find that 58,292 of 90,929 transcripts are linked to translation-supported ORFs, 71.9% of which arise from non-canonical transcript structures. These products are broadly accommodated within established protein fold space, indicating that alternative isoforms frequently preserve recognizable protein architectures despite substantial sequence variation. Functional divergence is instead concentrated in domains, intrinsically disordered regions, localization determinants and regulatory motifs. Motif remodelling is biased towards gains and is more extensive in cancer-driver genes than in other genes, linking isoform-associated regulatory variation to cancer-relevant proteins. As an example of domain remodelling, we identify an AKT1-{Delta}PH isoform that lacks the N-terminal PH domain while retaining the kinase core, with immunoblotting revealing a lower-molecular-weight AKT1 species consistent with this isoform. Together, our results show that alternative transcript diversity extensively enters translation-supported proteoform space and establish a systematic link between transcript variation and protein functional diversification.

cancer biology↗

bioRxiv2026

An Isoform-Centric, Structure-Aware Framework for Protein Function Prediction and Evaluation, Instantiated in 3DisoDeepPF

Understanding and accurately predicting function across protein isoforms has been a long-standing challenge with profound implications for both biological and translational research. However, most functional annotations and benchmarks remain tied to genes or reference protein sequences, leaving limited support for distinguishing protein isoforms from the same gene whose sequence, structure and domain composition may lead to different functions. To address this gap, we developed an isoform-centric framework for protein function and domain annotation that integrates a dense graph of sequence and structure similarity with protein features. We implemented this framework as 3DisoDeepPF, a graph-based multimodal model, and applied it to a breast cancer isoform atlas. Across canonical benchmarks and evaluations at isoform resolution, 3DisoDeepPF showed strong performance in predicting GO terms and Pfam domains and remained robust in tests with homology control. It further captured changes in Pfam domain composition among isoforms from the same gene, including reference-relative domain gain and loss. An evidence tracing module links predicted labels to supporting proteins in the graph, as illustrated by the calcium and integrin binding protein 1 (CIB1). Together, this study provides a framework informed by protein structure for function and domain annotation at isoform resolution, converting human protein isoform diversity into traceable functional evidence for cancer atlas interpretation.

cancer biology↗

bioRxiv2026

A cilia-dependent inflammatory programme links bacterial detection to kidney disease

The primary cilium is a microtubule-based sensory organelle projecting from the plasma membrane of most mammalian cells. Genetic defects in ciliary components cause chronic kidney disease (CKD) characterized by heightened production of inflammatory and fibrogenic mediators by tubular epithelial cells. Yet, whether this reflects a physiological role of the primary cilium remains unknown. Here, we show that primary cilia on kidney tubular cells bind uropathogenic Escherichia coli and, in response to bacterial components, initiate a fibro-inflammatory program reminiscent of CKD. Integrating single-cell transcriptomics with conditional mouse models, we observed that epithelial cilia orchestrate a similar fibro-inflammatory response in the absence of infection during CKD. This convergence reveals a shared cilia-dependent signalling axis governing both host-pathogen responses and CKD progression. Mechanistically, cilia ablation selectively impairs tubular responses to ADP-heptose, a pathogen-associated molecular pattern that activates NF-{kappa}B via the cytosolic innate immune receptor ALPK1. In human kidney organoids, ADP-heptose induces robust fibro-inflammation, and genetic or pharmacological inhibition of ALPK1 attenuates this response in a rodent CKD model. Together, these findings identify primary cilia as central orchestrators of a fibro-inflammatory program linking pathogen detection to kidney disease progression.

physiology↗

bioRxiv2026

OneGenomeRice (OGR): A Genomic Foundation Model for Rice

The transition of genomics to a predictive intelligence discipline is driven by the advent of genomic foundation models. While substantial progress has been observed in all-life and human-centric models, plant species, particularly for the staple crops, remains hindered by a lack of models. Here we introduce OneGenome-Rice (OGR), a rice (Oryza sativa) genomic foundation model pre-trained on a genomic dataset comprising 422 high-quality genomes of cultivated and wild rice. OGR is engineered upon a Mixture of Experts (MoE) transformer architecture with 1.25-billion parameters and supports an ultra-long context window of up to 1 million base (Mb) pairs at single-nucleotide resolution. A comprehensive benchmark demonstrated that OGR significantly outperforms existing state-of-the-art multi-plant or all-life genome models in 11 categories (e.g. motif identification, sweep detection, etc). We further demonstrated the utility of OGR in several downstream applications, such as indica-japonica subspecies introgression analysis, identification of agronomy trait-associated functional loci and prediction of gene expression from DNA sequences. These results establish OGR as a promising foundational computational infrastructure for rice functional genomics and precision breeding. The OGR and its fine-tuned models, including pretrained weights, training code and the rice genomic benchmark suit, have been fully opened.

genomics↗

bioRxiv2026

HYPER-Net: Physics-Conditioned Self-Supervised Reconstruction for Fourier Light-Field Microscopy

The rapid convergence of optical innovation and machine intelligence is reshaping biological imaging by enabling platforms that jointly advance image formation and computational reconstruction for highspeed, high-resolution volumetric microscopy. However, broadly accessible three-dimensional imaging at high spatiotemporal resolution remains limited by the reliance of existing supervised methods on large modality-matched training datasets, the computational burden of conventional iterative reconstruction, and sensitivity to optical mismatch arising from small deviations in the spatial-angular point spread functions. Here, we introduce HYPER-Net, a physics-conditioned self-supervised framework for Fourier light-field microscopy that integrates scan-free volumetric acquisition with fast, robust three-dimensional reconstruction. HYPER-Net incorporates experiment-specific point-spread functions into the learning process in two complementary roles: as the forward operator that enforces measurement consistency and as a conditioning signal that adaptively modulates intermediate feature representations. This design reduces reliance on paired experimental ground-truth volumes, improves robustness to system variation, and enables generalizable reconstruction across diverse biological contexts. Using human colon organoids, embryonic Xenopus laevis hearts, hiPSC-derived cardiac spheroids, and freely moving Caenorhabditis elegans, we demonstrate high-fidelity volumetric imaging of tissue morphology, cardiac function, calcium-contraction coupling, and locomotion-associated neural and muscular dynamics. These results position HYPER-Net as a versatile framework for rapid volumetric imaging and quantitative analysis of dynamic biological systems across basic research and biomedical applications.

bioengineering↗

bioRxiv2026

The chitin receptor-interacting protein LIK1 regulates extracellular ATP signaling via interaction with P2K1 in Arabidopsis thaliana

Previously, the chitin receptor-interacting protein kinase LIK1 (LysM receptor kinase 1/CERK1-interacting kinase) was shown to play an important role in regulating chitin signaling and plant defense. A limited proteolysis proteomics study revealed several LIK1-derived peptides that showed differential abundance between ATP-treated and mock-treated Arabidopsis samples, suggesting a possible involvement of LIK1 in extracellular ATP (eATP) signaling. To explore this possibility, LIK1 mutants were obtained and examined for their response to ATP. The results showed that mutations in LIK1 significantly reduced the expression of eATP-responsive genes. In addition, LIK1 was found to interact with the eATP receptor P2K1 and to be phosphorylated by it. The LIK1 protein was localized to the plasma membrane and its gene expression appeared to be ubiquitous. Collectively, these findings indicate that LIK1 not only contributes to chitin signaling but also participates in eATP signaling, highlighting its potential role as a shared component in multiple signaling pathways to regulate plant responses to diverse internal and external cues.

plant biology↗

bioRxiv2026

Three photon microscopy of mouse brain structure and function at 2 mm depth and beyond

High-resolution noninvasive imaging of neuronal activity at single-cell resolution deep within brain tissue is essential for understanding brain function and disease. Here we show that an improved 1300-nm three-photon microscope for maximal excitation and collection efficiency enables imaging up to the three-photon depth limit in the intact mouse brain. Our platform achieves structural imaging of brain vasculature at depths up to 2.5 mm and functional imaging of neural activities at depths up to 2 mm, reaching deep brain regions previously inaccessible by multiphoton imaging. These advances extend the frontier of deep-tissue functional imaging and open new possibilities for longitudinal and mechanistic studies in neuroscience and beyond.

bioengineering↗

bioRxiv2026

NFATC2 in pancreatic cancer-associated fibroblasts predicts treatment response and facilitates ERBB-targeted therapies

Pancreatic ductal adenocarcinoma (PDAC) remains a lethal malignancy, with therapeutic resistance influenced by a dense desmoplastic stroma dominated by cancer-associated fibroblasts (CAF). Using single-cell RNA-sequencing and gene regulatory network modeling of 42 PDAC tumors, we identified a CAF subpopulation characterized by elevated NFATC2 expression that is enriched in patients with improved therapeutic response and survival. NFATC2+ CAFs exhibited tumor-suppressive features, including enhanced apoptotic signaling and suppression of ERBB pathway activity. Co-culture experiments demonstrated that NFATC2+ CAFs restrain pancreatic cancer cell growth and enhance chemotherapy-induced apoptosis, increasing sensitivity to standard-of-care chemotherapy regimens and synergizing with ERBB-targeted therapies. The favorable effect of NFATC2+ CAFs on chemotherapy response was validated in two other PDAC cohorts and in rectal cancer. Together, these findings identify NFATC2+ CAFs as a therapy-conditioned stromal state linked to improved treatment response and uncover a context-dependent vulnerability within the tumor microenvironment that may be exploited to rationally optimize combination therapies.

cancer biology↗

bioRxiv2026

Prefrontal brain-to-brain synchrony during human group hunting: Evidence from fNIRS hyperscanning

Orca, wolves, chimpanzees and humans share a similarly impressive capacity for group hunting, where individuals coordinate behaviour together to capture prey. Studying hunting behaviours has important implications for understanding how behaviour in group contexts may be indicative of cognitive decline. Despite growing interest in brain circuits for prey capture, the brain regions involved in tracking prey during a hunt and the behaviours in group hunt linked to success remain unclear. Here we combined functional near infrared spectroscopy (fNIRS) and a virtual minecraft world to examine behaviour, brain dynamics and brain synchrony involved in group hunting behaviour. We focused on the prefrontal cortex (PFC) due to its known role in planning and social coordination and recorded from pairs of individuals as they either cooperated to hunt another person (prey) or simply followed another person. Hunters were more successful if they managed to keep a smaller distance to the prey and moved at speeds that were more synchronised with their co-predator. At high-range frequencies for fNIRS (0.1-0.2Hz), we found greater brain-to-brain synchrony in lateral and medial (frontopolar) PFC regions during hunting compared with chance levels. Together, these findings provide insights into what behaviours and brain dynamics associated with successful group hunting.

neuroscience↗

bioRxiv2026

A Haplotype-resolved Telomere-to-Telomere Pig Genome

Haplotype-resolved telomere-to-telomere (T2T) pig genomes have not been reported, but may be essential for xenotransplantation and interspecies chimerism. Here we describe fully phased paternal and maternal T2T assemblies of an Erhualian pig (Ssc_EHL), enabling chromosome-scale reconstruction at base resolution. We uncover 2,498 (paternal haplotype) and 2,577 (maternal haplotype) protein-coding loci previously unresolved in Sscrofa11.1, while maintaining high concordance for anchored gene models between haplotypes. Applying this haplotype-resolved T2T annotation to publicly available pig-to-human kidney xenograft transcriptomes further allows the resolution of xenograft cell states and reveals newly resolved, cell-type-enriched genes. Cross-species synteny and orthology analyses against human identified a subset of high-confidence pig-specific genes with limited human counterparts, thus, refining the genomic basis of interspecies divergence. By integrating these orthology features with organ transcriptomes, we further defined an Interspecies Chimerism Compatibility score to prioritize organ-enriched, highly conserved loci with minimal redundancy imbalance, providing haplotype consistent targets for engineering organ-deficient pigs. Together, this haplotype-resolved T2T pig genome provides a foundational resource for mechanistic studies and rational genome engineering in xenotransplantation and interspecies chimerism.

genomics↗

bioRxiv2026

An integrated single cell and spatial omics atlas of human prenatal development

Single cell genomics has enabled analysis of human prenatal development at unprecedented resolution. However, most studies have relied on dissociated tissues during restricted windows of development, limiting insights into how spatially distributed networks of cells, and multicellular niches emerge and adapt to distinct organ microenvironments in situ. Moreover, existing human developmental atlases have not yet been harmonised, and we thus lack a comprehensive catalogue of known cell types in the developing human body. Here, we introduce the Human Developmental Cell Atlas (HDCA), a unified structural, cellular and molecular resource for prenatal human development. The HDCA integrates published and unpublished single cell/nucleus RNAseq atlases across prenatal organs, and includes a newly generated, spatially resolved, multimodal cell atlas of intact human embryos. Spanning 4-22 post conceptional weeks, capturing embryonic and early to mid fetal stages, the HDCA contains [~]4.6 million cells/nuclei which resolve into [~]450 cell types, explorable with a bespoke web portal. For a global overview of the human embryos multicellular communities, we applied unsupervised deep learning to our intact human embryo spatial data, charting 114 tissue niches that are structural and signalling hubs for the cellular interactions of the embryo. Guided by these niches, we profiled cellular networks over space and time, not examinable using single-organ atlases. In so doing, we revealed tissue-specific fibroblast patterning from previously undescribed mesenchyme progenitors, early diversification of organ-specific blood capillaries and lymphatic vasculature, emergence of neural crest cell fates, the formation of placode-and neural crest-derived peripheral sensory neurons, and how tissue niches guide peripheral neuron maturation and axonal migration. The HDCA thus serves as a comprehensive step towards a comprehensive understanding of human prenatal development, and a template towards unravelling the biology of congenital disorders.

developmental biology↗

bioRxiv2026

Non-invasive MRI mapping of tissue-CSF water exchange reveals glymphatic fluid movement in live human cortex

Efficient metabolic waste clearance, via the postulated glymphatic system, is essential for neural homeostasis. However, direct visualization of tissue-cerebrospinal fluid (CSF) exchange remains limited, leading to ongoing debate in the neuroscientific field. The present work revealed evidence of tissue-CSF water exchange in the live human cortex, by employing a novel MRI technique demonstrating the flux of water molecules across the perivascular interface. We observed robust water exchange inside the cortical ribbon, which was more prominent than white matter and deep brain tissue. We validated that the signal originates from CSF and is independent of cerebral perfusion. Water exchange between tissue and CSF declined with age. Furthermore, we demonstrated for the first time that tissue-CSF exchange was impaired in Alzheimers disease (AD), in particular in regions where the perivascular space is clogged by anti-amyloid immunotherapy.

bioengineering↗

bioRxiv2026

Specific targeting of MR1-antigen complexes using nanobodies

T cell receptor mimic (TCRm) antibodies and nanobodies that specifically bind peptide-HLA complexes have great therapeutic potential, as they can target polymorphic HLA on tumour cells furnishing peptides derived from tumour-associated antigens. MR1 is an MHC class-I-like molecule that exhibits limited polymorphism that binds and presents conserved metabolites, such as 5-OP-RU, derived from microbial riboflavin biosynthesis. Whether antibodies targeting such MR1-5-OP-RU complexes can be generated remains unclear. Using yeast display technology and in vitro affinity maturation, a nanobody with high affinity and fine specificity toward MR1-5-OP-RU complex was generated. These nanobodies bind both mouse and human MR1-5-OP-RU and inhibited MAIT cell responses to 5-OP-RU in vitro and in vivo demonstrating therapeutic potential. Moreover, we provide a molecular basis underpinning the fine specificity of these nanobodies, solving the crystal structures of MR1 in complex with either 5-OP-RU or Ac-6-FP. Here, the nanobody co-bound MR1 and 5-OP-RU, akin to a TCRm antibody. Moreover, we engineer bispecific antibodies targeting both MR1-5-OP-RU and CD3, that drive broad T cell killing of bacterially-infected cells as well as tumour cells treated with 5-OP-RU, thereby providing proof-of-principle for targeting the MR1 molecule with with TCRm-based nanobodies. One Sentence SummaryWe report the development of a nanobody targeting MR1-5-OP-RU complex and demonstrate its utility to modulate MAIT cells responses, and as a bispecific engager.

immunology↗