Biology subjects

Cao, L.

Publications and source records attributed to Cao, L..

At least 37 records · Page 2Linked to original sources

bioRxiv2025

Evolutionarily Conserved T-tubule-Mitochondria Contacts in Striated Muscle

The intricate architecture of skeletal muscle is essential for its contractile function, with the spatial organization of organelles such as T-tubules and mitochondria playing a crucial role in maintaining muscle performance and health1,2. T-tubules propagate electrical signals deep into muscle fibers to ensure synchronous contraction, while mitochondria provide the necessary energy for muscle contraction3-5. Previous studies have extensively documented the interactions between T-tubules and the sarcoplasmic reticulum (SR), which are essential for excitation-contraction coupling6,7. However, the detailed spatial relationship between T-tubules and mitochondria has remained relatively unexplored. In this study, we utilized zebrafish and mice as model organisms to investigate the contacts between T-tubules and mitochondria. Using array tomography, deep learning-based analysis, and advanced microscopy techniques, we discovered extensive membrane contact sites, termed T-tubule-Mitochondria (TTM) contacts. These contacts are evolutionarily conserved across vertebrates, including skeletal and cardiac muscles. Our findings reveal a previously unrecognized, intimate spatial coupling between T-tubules and mitochondria, with significant implications for muscle physiology and pathology. Understanding these TTM contacts could provide new insights into the mechanisms underlying muscle function and the development of muscle-related diseases.

cell biology↗

bioRxiv2025

TUPAD: A Tn5-Mediated, Pre-amplification/Adapter-Dimer-Free Platform for Ultra-Uniform, One-Step PGT Profiling with High Stability and Broad Compatibility

High-throughput sequencing stands as a cornerstone of clinical molecular diagnostics, particularly in preimplantation genetic testing (PGT)--a key application where the selection of chromosomally normal embryos is critical to enhancing in vitro fertilization (IVF) success rates. A fundamental challenge inherent to PGT, however, lies in the ultra-low gDNA input (typically <100 pg) from embryo biopsies. To mitigate this limitation, traditional workflows rely on whole genome amplification (WGA) technologies, such as MDA, PicoPlex, and MALBAC. Yet these WGA-based protocols inherently entail pre-amplification of gDNA prior to standard library construction---a step that introduces significant coverage bias and compromised uniformity. These are intrinsic flaws irreparable by downstream library preparation or bioinformatics analysis, ultimately leading to clinical uncertainty in the interpretation of copy number variations (CNVs). In this study, we developed TUPAD (Tn5-Mediated, Uniform Pre-amplification-free and Adapter-Dimer-Free Library preparation), a transformative technology that bypasses the limitations of traditional WGA. By engineering a novel adapter-dimer-free transposon system, TUPAD enables high-efficiency library construction from as little as 1 picogram (pg) of gDNA. This breakthrough allows for a pre-amplification-free workflow, effectively eliminating the primary source of amplification bias. Compared to existing WGA standards, these advantages are fully retained in embryo biopsy and positive sample testing, TUPAD consistently generates highly uniform library data, significantly enhancing the detection limit and accuracy of CNVs and other genomic variants. Beyond these performance advantages, TUPAD also cuts wet-lab processing time by 50%. Practical validation confirms TUPAD results are stable, reliable, with proven practical utility in PGT testing.

molecular biology↗

bioRxiv2025

SPIN90 modulates the architecture of lamellipodial actin in an ARPC5L dependent fashion.

When stimulated by nucleation-promoting factors such as WAVE, the Arp2/3 complex generates branched actin networks. In contrast, when activated by SPIN90, the Arp2/3 complex generates linear actin filaments. The Arp2/3 complex in mammals, consists of 8 iso-complexes with dieerent properties as there are two isoforms of Arp3, ArpC1 and ArpC5. Here, using recombinant Arp2/3 iso-complexes with defined compositions, we show that SPIN90 selectively activates ArpC5L- rather than ArpC5- containing complexes to generate linear actin filaments. Consistent with this, SPIN90 at the leading edge of migrating cells enhances the recruitment of ArpC5L-, but not ArpC5- containing, Arp2/3 complexes to lamellipodia. These SPIN90-Arp2/3-ArpC5L complexes generate linear actin filaments that integrate into lamellipodia and impact protrusion eeiciency. Moreover, using polarised light microscopy, we show that loss of SPIN90 leads to an enrichment in actin filaments oriented more perpendicular to the plasma membrane. Our results demonstrate that SPIN90 regulates the architecture and dynamics of lamellipodial actin in an Arp2/3 iso-complex dependent fashion. SummarySPIN90 selectively recruits and activates ArpC5L containing Arp2/3 to shape the architecture and dynamics of lamellipodial actin.

cell biology↗

bioRxiv2025

Siglec-engaging immunosuppressive sialoglycans are upregulated in prostate cancer and are targetable to suppress bone metastasis

Prostate cancer is a leading cause of male cancer-related deaths over the age of 50. New treatment options for prostate cancer are urgently needed, especially for tumours that have spread to bone. Aberrant sialylation holds substantial potential for the discovery of new therapeutic targets but has remained relatively unexplored in the context of prostate cancer, primarily due to the lack of reliable reagents for detecting tumour sialoglycans in clinical tissue. Here, we address this knowledge gap using high-affinity Siglec-based sialoglycan-binding reagents (HYDRAs) to quantify tumour sialoglycans in tissues representing the full clinical heterogeneity of prostate tumours. Using HYDRA immunohistochemistry, we show that sialoglycans that can engage Siglec-3, -7, and -9 are upregulated in primary prostate cancer tissue and sialoglycan ligands for Siglec-7 correlate with prostate cancer bone metastasis and poorer patient prognosis. Analysis of prostate-derived tumours growing in bone reveals Siglec receptors are expressed by immune cells in the bone metastatic tumour microenvironment, suggesting that this axis may play a role in immune cell functions in bone metastatic prostate cancer. Indicating this is clinically actionable, an engineered bisialidase (E-612) can effectively strip Siglec ligands from prostate cancer cells and prolong survival times of mice with bone metastasis. Our findings identify a novel mechanism involving Siglec-engaging sialoglycans in driving the growth of prostate cancer bone metastasis and demonstrate how this axis can be targeted to impede lethal prostate cancer progression.

cancer biology↗

bioRxiv2025

Cell-type-resolved NRXN1 isoforms across human brain tissues and hiPSC organoids

NRXN1 undergoes extensive alternative splicing that generates a highly diverse repertoire of isoforms, diversifying protein-protein interactions, shaping synaptic specialization, and contributing to neuropsychiatric disease when disrupted. However, the splicing landscape of NRXN1 across distinct human brain cell types remains poorly defined. Because NRXN1 expression level is relatively low in adult brains and human induced pluripotent stem cell (hiPSC) derived neurons, single-cell long-read cDNA sequencing often provides insufficient coverage to capture its full isoform diversity, particularly across heterogeneous cell populations. To address this gap, we developed an integrative sequencing strategy that combines single-cell transcriptomics, targeted enrichment of NRXN1 transcripts, and long-read sequencing. This approach reveals a comprehensive catalog of cell-type resolved NRXN1 isoforms across adult and fetal human postmortem brains as well as hiPSC-derived cortical organoids. From the adult prefrontal cortex (PFC) region, our analyses reveal distinct splicing programs across interneuron subtypes, pyramidal neurons, and glial lineages. Comparisons between prenatal and adult brains indicate that NRXN1 isoform profiles are established during early development and remain stable throughout neuronal maturation. In hiPSC organoid models, splicing profiles partially mirror both developmental and mature brain patterns, with a subset of splice sites exhibiting cell type - and stage-specific divergence. In the cerebellum of an autism case and in organoids derived from schizophrenia patients, carrying non-recurrent heterozygous NRXN1 deletions, we identify disrupted isoform expression and mutant NRXN1 isoforms and characterize their distribution across diverse cell types. Using this integrated long-read sequencing framework in patient-derived organoids, we further show that antisense oligonucleotide (ASO) targeting of mutant splice junctions reduces gain-of-function NRXN1 isoforms and reshapes splicing patterns in a cell type-specific manner, providing a platform for evaluating ASO efficiency. Together, these findings help understand the cell type-specific splicing landscape of NRXN1 and establish a framework for decoding cell type-specific isoform diversity and assessing transcript-targeted therapies for genes with low expression levels.

neuroscience↗

bioRxiv2025

HalluDesign: Protein Optimization and de novo Design via Iterative Structure Hallucination and Sequence design

Deep learning has revolutionized biomolecular modeling, enabling the prediction of diverse structures with atomic accuracy. However, leveraging the atomic-level precision of the structure prediction model for de novo design remains challenging. Here, we present HalluDesign, a general all-atom framework for protein optimization and de novo design, which iteratively update protein structure and sequence. HalluDesign harnesses the inherent hallucination capabilities of AlphaFold3-style structure prediction models and enables fine-tune free, forward-pass only sequence-structure co-optimization. Structure conditioning at different noise level in the structure prediction stage allows precise control over the sampling space, facilitating tasks from local and global protein optimization to de novo design. We demonstrate the versatility of this framework by optimizing suboptimal structures, rescuing previously unsuccessful designs, designing new biomolecular interactions and generating new protein structures from scratch. Experimental characterization of a diverse set of proteins--including protein binders for small molecules, a metal ion and proteins; antibody design of phosphorylation-specific peptide; and monomeric proteins--revealed high design success rates and excellent structural accuracy. Together, our comprehensive computational and experimental results highlight the broad utility of this framework. We anticipate that HalluDesign will further unlock the modeling and design potential of AlphaFold3-like models, enabling the robust creation of complex biomolecules for a wide range of biotechnological applications.

bioinformatics↗

bioRxiv2025

Inhibition of CGRP receptor ameliorates AD pathology by reprogramming lipid metabolism through HDAC11/LXRβ/ABCA1 signaling

The Calcitonin gene-related peptide (CGRP) receptor has gained attention in Alzheimers Disease (AD) research due to its involvement in regulating neuroinflammation. However, its role and mechanism in AD pathology remain unclear. Here, we demonstrate that CALCRL, a core component of the CGRP receptor, is upregulated in the hippocampus of AD dementia patients and 5xFAD mice. Knockout of the CGRP receptor ligand Calca or pharmacological blockade using Rimegepant (Rim), reduces soluble A{beta}1-42 oligomer-induced neuronal death and glial inflammation. Rim treatment also rescues neurobehavioral impairments, neurodegeneration, and lipid metabolism dysfunction in 5xFAD mice. Mechanistically, these effects are mediated through HDAC11 inhibition, which enhances LXR{beta} acetylation and ABCA1 expression, promoting the reprogramming of neuronal lipid metabolism. Importantly, this CALCRL/HDAC11/LXR{beta}/ABCA1 axis is conserved across both humans and mice. Our findings uncover a novel mechanism underlying AD pathogenesis and highlight the therapeutic potential of targeting CGRP signaling in AD. HIGHLIGHTSInhibition of CGRP receptor ameliorates disease pathology in models of AD HDAC11 mediates CGRP receptor function in AD HDAC11 is a pivotal regulator in lipid metabolism by LXR{beta}/ABCA1 signaling The HDAC11/LXR{beta}/ABCA1 axis is conserved in AD humans and mice

neuroscience↗

bioRxiv2025

Dynamic Meta-Networking Identifies Distinct Network Correlates of Positive and Negative Formal Thought Disorder in Schizophrenia

Formal thought disorder (FTD) is a core symptom of schizophrenia, yet the neural network mechanisms underlying this phenotype remain poorly understood. In this study, we applied a dynamic meta-networking framework, which captures temporally recurring functional network states, to investigate alterations in the language and executive control networks and their associations with positive and negative FTD. Resting-state fMRI data were collected from three independent cohorts: a discovery cohort comprising 150 first-episode, drug-naive patients with schizophrenia and 175 healthy controls (HCs); a replication cohort including 183 first-episode, drug-naive patients and 109 HCs; and a third cohort consisting of 71 patients who had received two weeks of antipsychotic treatment and 71 HCs. Meta-networking analysis identified four distinct resting-state meta-states within both the language and executive control networks. Connectivity-behavior correlation analyses and machine-learning regression models revealed that positive FTD was associated with aberrant connectivity across specific meta-states in both networks. In contrast, negative FTD was linked exclusively to dysfunction within two meta-states of the executive control network. Notably, these polarity-specific, multi-state connectivity disruptions normalized following short-term antipsychotic treatment, highlighting their potential as clinically relevant neuroimaging biomarkers.

neuroscience↗

bioRxiv2025

DynPerturb:Dynamic Perturbation Modeling for Spatiotemporal Single-Cell Systems

Perturbation responses in multicellular systems are inherently spatiotemporal, governed by temporal dynamics, perturbation intensity, and tissue context. However, existing approaches rarely capture explicit spatiotemporal perturbation dynamics, limiting the ability to reconstruct how perturbations propagate over time, spread across space, and induce feedback at multiple biological scales. Here we introduce DynPerturb, a dynamic inference framework for single-cell and spatial transcriptomics that systematically models the "when-how strong-where" dimensions of perturbations. DynPerturb incorporates temporal encoding, spatial adjacency, and memory modules to capture nonlinear signal propagation and cross-regional feedback with mechanistic interpretability. Across temporal benchmarking datasets, DynPerturb consistently outperformed existing methods in regulatory link prediction, demonstrated zero-shot generalization to unseen nodes, and preserved accuracy under varying sparsity conditions and temporal resolutions. Applied to representative biological systems, DynPerturb uncovers dynamic regulatory rewiring in kidney disease, highlighting a mid-age sensitivity window and potential reversibility with early intervention; delineated a temporal fate-switching boundary between megakaryocyte-erythroid progenitors (MEPs) and granulocyte-monocyte progenitors (GMPs) during hematopoiesis; and revealed spatiotemporal interchamber signaling in murine heart development, where Igf2 perturbations induced spatial feedback shaping chamber proportioning. Collectively, these results establish DynPerturb as a unified and versatile system for dissecting dynamic perturbation effects and guiding precision intervention strategies in multicellular systems.

bioinformatics↗

bioRxiv2025

Targeting the TEA DNA binding Domain of TEAD with a Peptide Inhibitor TEAi Suppresses Oncogenic Transcription and Tumor Growth

The Hippo pathway is a critical regulator of organ size and tumorigenesis, with the TEAD-YAP/TAZ transcriptional complex serving as a key effector frequently hyperactivated in cancers. Targeting this complex has emerged as a promising anticancer strategy. Here, we develop TEAi, a 64-amino acid peptide derived from Drosophila Nerfin-1, which directly binds the TEA DNA-binding domain of TEAD. TEAi potently suppressed TEAD-YAP-driven transcriptional activity, as evidenced by luciferase reporter and qPCR assays targeting canonical downstream genes CTGF and CYR61. Mechanistically, TEAi inhibited the DNA-binding capacity of TEAD2 without direct DNA interaction, thereby abolishing promoter recruitment of the TEAD-YAP complex. unexpectedly, TEAi induced nuclear export and cytoplasmic accumulation of TEAD2, suggesting a non-canonical mechanism distinct from native Nerfin-1 function. Functionally, TEAi significantly suppressed cancer cell proliferation in vitro and tumor growth in vivo. Unlike inhibitors targeting the YAP-binding interface, TEAi directly blocks the DNA-binding activity of TEAD, offering a potential advantage by comprehensively inhibiting all TEAD-dependent oncogenic transcription. Our findings establish TEAi as a promising prototype for therapeutics targeting TEAD, with implications for treating cancers driven by Hippo pathway dysregulation.

cell biology↗

bioRxiv2025

Spatial Transcriptomics Reveal Developmental Dynamics of the Human Cerebral Cortex and Striatum

The human fetal brain undergoes morphological changes that contribute to the development of regional functionalities. However, the features of structural development, the underlying molecular and cellular signatures in the fetal brain remain unclear. With spatial transcriptomics and snRNA-seq, we identified 25 forebrain regions and characterized the dynamic changes in the cortex and striatum during the late first and early second trimesters. In particular, we discovered that temporal lobe enriched NPY-expressing L2/3 EX neuron potentially interacted with L4 EX neurons during cortical expansion and arealization. Additionally, the gyrus and sulcus were developmental asynchronous, in which HOPX and SPARC genes were potentially involved. Further investigation on the striatum showed specific genes and cell types that enriched in patch and matrix compartments, and SST-positive interneurons potentially involved in the development of these structures. Together, our results give insights into the understanding of early fetal brain development.

bioinformatics↗

bioRxiv2025

HerbComb: an integrated database for the discovery of novel combinational therapies from herbal medicines

Drug combinations have gained increasing interest due to their potential for optimal efficacy and the ability to overcome drug resistance. Herbal medicine is a complex system with multiple ingredients and has illustrated apparent therapeutic effects through thousands of years of clinical experience, offering a rich resource for combinational therapies. However, the underlying mechanism of their synergistic therapeutic effects for disease treatment remains obscure for most herbal medicines. To fill this gap, we developed an integrated database named HerbComb (https://herbcomb.com/) to discover combinatorial therapies in herbal medicine, featuring three unique functions: drug prepositioning, customized combinatorial analysis, and biological and pharmacological features. Additionally, transcriptional gene signatures and ADMET properties were also interrogated as interactive functionalities to facilitate combinational analysis. Using Tongxinluo for Stroke as a case study, we identified and validated Oleanolic acid and Ferulic acid as synergistic ingredients. In summary, HerbComb is a versatile data exploration platform designed to characterize synergistic interactions among herbal medicines, enhancing the understanding of synergistic mechanisms and facilitating the discovery of effective drug combinations.

pharmacology and toxicology↗

bioRxiv2025

Hybrid yak-cattle in situ conservation via interspecies somatic cell nuclear transfer at ultra-high-altitude region

Pien-niu, the hybrid offspring of yak (Bos grunniens) and domestic cattle (Bos taurus), possess exceptional adaptability to ultra-high-altitude environments of the Qinghai-Xizang Plateau. In situ conservation is of special significance for ultra-high-altitude region because the offsprings need to possess the ability to adapt to the unique environment. The present study was to clone Pien-niu in Xizang via interspecies somatic cell nuclear transfer (iSCNT) to practice in situ conservation of large animal at ultra-high-altitude region. Ear fibroblast cells were isolated from Pien-niu at Qushui Experimental Station (3650m above sea level), an animal live conservation farm at Xizang, and used as iSCNT donor cells. The iSCNT blastocysts were transferred into the oviduct of surrogate Pien-niu which are maintained at Qushui Experimental Station. A live cloned Pien-niu calf was born on May 12, 2025 and keeps healthy till now. Results of short tandem repeat analysis revealed that the microsatellite loci of cloned calf were completely matched with that of donor fibroblast cells. The successful cloning of Pien-niu can provide a paradigm for in situ germplasm conservation via iSCNT at ultra-high-altitude region.

zoology↗

bioRxiv2025

Gut microbiota and bile acids changes in MASLD mice model with hepatic PLD1 knockout

Hepatocyte phospholipase D1 (PLD1) knockout alleviated metabolic dysfunction-associated steatotic liver disease (MASLD) in mice, but the underlying mechanism is largely unknown. In this study, high-fat diet is fed to wild type (Con) and hepatocyte PLD1 knockout (Con_KO) mice to establish MASLD model (HFHC and HFHC_KO). Intestinal contents of mice are analyzed via metagenomics and metabolomics, the liver bile acids are assessed by mass spectrometry imaging. At phylum level, Bacillota in the intestines of MASLD model mice are significantly increased and Bacteroidota are significantly decreased. However, after the deletion of hepatocyte PLD1, Pseudomonadota and Candidatus Bathyarchaeota are significantly decreased in the MASLD model mice. Then at species level, compared with Con group, the Faecalibaculum rodentium is significantly increased in HFHC group, in which hepatocyte PLD1 knockout causes Desulfovibrionaceae bacterium LT0009 and Lachnospiraceae bacterium 10-1 to significantly decrease. As for intestinal bile acids, two bile acids (Hyodeoxycholic acid and Glycolithocholic acid) are found to be different between the HFHC_KO group and the HFHC group. Association analysis shows the Faecalibaculum co-occurs with DCA, {beta}MCA, {Omega}MCA and MCA, while probiotic Bacteroides uniformis is significantly correlated with UDCA, 12-KetoLCA, 7-KetoLCA. Finally, mass spectrometry imaging reveals that TCA and TDCA in liver are significantly decreased after hepatocyte PLD1 knockout. These findings demonstrate that hepatocyte PLD1 knockout alters gut microbiota and bile acids profiles, suggesting PLD1 deficiency may modulate MASLD progression by changing intestinal microbiota-bile acid homeostasis. HighlightsHere, we show that hepatocyte PLD1 knockout alters gut microbiota and bile acid profiles in metabolic fatty liver disease mouse by high-fat diet. O_LIWild type (Con) and hepatocyte PLD1 knockout (Con_KO) mice were used to establish HFHC and HFHC_KO models, respectively. C_LIO_LIIntestinal contents were collected for metagenomic and metabolomics analysis, and liver tissues were taken for mass spectrometry imaging to investigate gut microbiota-bile acid relationships. C_LIO_LIIn HFHC_KO mice, Desulfovibrionaceae bacterium LT0009 and Lachnospiraceae bacterium 10-1 were significantly reduced, accompanied by altered HDCA and GLCA. C_LIO_LIAssociation analysis revealed Faecalibaculum co-occurred with DCA, {beta}MCA, {Omega}MCA, and MCA, while Bacteroides uniformis was significantly associated with UDCA, 12-KetoLCA, and 7-KetoLCA. C_LIO_LIMass spectrometry imaging showed hepatocyte PLD1 knockout significantly decreased liver TCA and TDCA, suggesting PLD1 deficiency may modulates MASLD progression via microbiota-bile acid homeostasis. C_LI O_FIG O_LINKSMALLFIG WIDTH=199 HEIGHT=200 SRC="FIGDIR/small/663496v1_ufig1.gif" ALT="Figure 1"> View larger version (36K): org.highwire.dtl.DTLVardef@1b5bfa8org.highwire.dtl.DTLVardef@139ed05org.highwire.dtl.DTLVardef@1f7e905org.highwire.dtl.DTLVardef@e34b59_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

bioRxiv2025

Complex I Governs Iron Levels in Bat Mitochondria to Couple Respiration with Lipid Metabolism

The evolution of mitochondrial respiration has been implicated in the remarkable adaptations of bats, including powered flight, longevity and viral tolerance. However, the mechanisms coordinating mitochondrial respiration with lipid metabolism--a critical energy source for flight--remain poorly understood. Here, we discovered that complex I inhibition triggered iron overload into bat mitochondria, inducing a burst of reactive oxygen species (ROS). This iron translocation relied on the VDAC-MCU axis and mitochondrial membrane potential. Intriguingly, disrupting VDAC oligomerization enhanced iron uptake in a complex I-dependent manner. Mitochondrial iron translocation perturbed fatty acid oxidation and upregulated linoleic acid species, which promoted the reversible accumulation of lipid droplets, suggesting metabolic plasticity crucial for bat energetics. Our findings establish complex I as a pivotal regulatory hub that directly couples respiratory efficiency to lipid metabolism by governing mitochondrial iron levels. This mechanism may represent a key evolutionary adaptation supporting the unique metabolic demands of bat physiology. HIGHLIGHTSComplex I inhibition induces unique mitochondrial ROS burst in bat cells. Mitochondrial iron overload is the primary trigger of complex I-linked ROS burst. VDAC-MCU axis couples membrane potential to drive mitochondrial iron influx. Mitochondrial iron translocation remodels lipid metabolism in bat cells.

cell biology↗

bioRxiv2025

Towards Unified Neural Decoding with Brain Functional Network Modeling

Recent achievements in implantable brain-computer interfaces (iBCIs) have demonstrated the potential to decode cognitive and motor behaviors with intracranial brain recordings; however, individual physiological and electrode implantation heterogeneities have constrained current approaches to neural decoding within single individuals, rendering interindividual neural decoding elusive. Here, we present Multi-individual Brain Region-Aggregated Network (MIBRAIN), a neural decoding framework that constructs a whole functional brain network model by integrating intracranial neurophysiological recordings across multiple individuals. MIBRAIN leverages self-supervised learning to derive generalized neural prototypes and supports group-level analysis of brain-region interactions and inter-subject neural synchrony. To validate our framework, we recorded stereoelectroencephalography (sEEG) signals from a cohort of individuals performing Mandarin syllable articulation. Both real-time online and offline decoding experiments demonstrated significant improvements in both audible and silent articulation decoding, enhanced decoding accuracy with increased multi-subject data integration, and effective generalization to unseen subjects. Furthermore, neural predictions for regions without direct electrode coverage were validated against authentic neural data. Overall, this framework paves the way for robust neural decoding across individuals and offers insights for practical clinical applications.

neuroscience↗

bioRxiv2025

UniCell: Towards a Unified Solution for Cell Annotation, Nomenclature Harmonization, Atlas Construction in Single-Cell Transcriptomics

Standardizing cell type annotations across single-cell RNA-seq datasets remains a major challenge due to inconsistencies in nomenclature, variation in annotation granularity, and the presence of rare or previously unseen populations. We present UniCell, a hierarchical annotation framework that combines Cell Ontology structure with transcriptomic data for scalable, interpretable, and ontology-aware cell identity inference. UniCell leverages a multi-task architecture that jointly optimizes local and global classifiers, yielding coherent predictions across multiple levels of the ontology-defined hierarchy. When benchmarked across 20 human and mouse datasets, UniCell consistently outperformed state-of-the-art tools, including CellTypist, scANVI, OnClass, and SingleR, in annotation performance, and sensitivity to low-abundance populations. In disease settings, UniCell effectively identified previously unseen cell types through confidence-guided novelty detection. Applied to 45 human and 23 mouse tissue atlases, UniCell enabled cross-dataset and cross-species harmonization by embedding cells into a unified latent space aligned with Cell Ontology structure. Moreover, when used to supervise single-cell foundation models, UniCell substantially improved downstream annotation accuracy, rare cell detection, and hierarchical consistency. Together, these results establish UniCell as a generalizable framework that supports high-resolution annotation, nomenclature standardization, and atlas-level integration, providing a scalable and biologically grounded solution for single-cell transcriptomic analysis across diverse biological systems.

bioinformatics↗

bioRxiv2025

Stromal cells modulate innate immune cell phenotype and function in colorectal cancer via the Sialic acid/Siglec axis

BackgroundThe immunosuppressive tumour microenvironment (TME) reduces immune response effectiveness in stromal-rich tumours, including CMS4 colorectal cancer (CRC). Mesenchymal stromal cells (MSCs), precursors to cancer-associated fibroblasts (CAFs), promote cancer progression by suppressing anti-tumour immune responses. Hypersialylation of glycans on tumours engages Siglec receptors on immune cells, driving immune dysfunction, but its role in stromal-mediated immunosuppression remains unclear. MethodsSialic acids and Siglec ligands were measured on CRC tissue, primary human CAFs, and tumour-conditioned-mesenchymal stromal cells (MSCTCS) and CAF using immunohistochemistry and flow cytometry. The effect of stromal cell sialylation on macrophages and NK cells was assessed in ex vivo primary stromal and immune cell co-cultures and expression of Siglec-10 and immune cell phenotype markers and function were measured by flow cytometry. Using an immunocompetent Balb/c CT26 mouse model, we induced tumours with/without conditioned stromal cells, with/without pre-treatment of stromal cells with sialyltransferase inhibitor (3FAX) or sialidase (E610). We assessed the effect of stromal cell sialylation on macrophages and NK cells in the tumour and secondary lymphoid tissues by flow cytometry. ResultsStromal cells, including CAFs, in CRC tumours are highly sialylated compared to epithelial cancer cells and are associated with high expression of ST6GalNAC6. Genetic knockdown of ST6GalNAC6 reduced the expression of stromal cell Siglec-10 ligands in MSCs. CAFs and MSCTCS induced Siglec-10 on macrophages and NK cells and impaired NK cell cytotoxicity. Sialidase treatment reduced Siglec-10 expression, restoring NK cell function. In vivo, desialylation of stromal cells increased macrophage activation (CD11b+CD80+) and reduced immunosuppressive marker expression (CD206, PD-L1, Siglec-G) in lymphoid tissues, indicating sustained systemic anti-tumour immunity. Intratumoural NK cells exhibited high Siglec-G expression and impaired cytotoxicity, and granzyme B expression significantly increased with sialidase treatment of stromal cells. In an inflammatory tumour model, inflammatory tumour-conditioned (iTCS) MSCs promoted metastasis and Siglec-G induction on NK cells and macrophages, both reversed by sialyltransferase inhibition, underscoring the effects of stromal modulation of innate immune cell function in inflammatory tumours. ConclusionStromal cell sialylation modulates innate immune suppression in CRC via the sialic acid/Siglec axis. Targeting stromal sialylation restores NK cytotoxicity and macrophage activation, offering a novel therapeutic strategy for immunosuppressive stromal-rich tumours. What is already known on this topicO_LIThe tumour microenvironment of consensus molecular subtype 4 (CMS4) colorectal cancer (CRC) is associated with high stromal burden, poor immune infiltration, poor response to anti-cancer therapies and thus poor patient prognosis. Immune checkpoint inhibitors (ICIs) have limited impact on stromal-rich CRC tumours, therefore highlighting the need to discover and target novel mechanisms of tumour immune evasion. C_LIO_LIEmerging studies have highlighted that stromal cells in CRC and pancreatic ductal adenocarcinoma (PDAC) are highly sialylated, expressing even higher levels of sialic acid on their cell surface than epithelial cancer cells. Targeting stromal cell sialylation has unveiled promising data in restoring the anti-tumour activity of T cells and macrophages. There is a need to explore the effects of targeting stromal cell sialylation on other immune cells of the TME and to evaluate the Siglec/sialic acid axis of stromal and immune cells in resistant CRC tumours. C_LI What this study addsO_LIWe reveal ST6GalNAC6 as a sialyltransferase enzyme that regulates the production of Siglec-10 ligands in CRC stromal cells. Overexpression of ST6GalNAC6 and Siglec-10 correlated with poor survival in CRC and mesenchymal CRC tumours. C_LIO_LIWe show for the first time an induction of Siglec-10 expression on macrophages and NK cells in stromal-immune co-culture experimental models with hypersialylated MSCs and CAFs in vitro and ex vivo. Targeting stromal cell sialylation increased NK cell cytotoxicity of CRC cells, indicating a direct functional role for stromal cell sialylation in immunosuppression. C_LIO_LIAn immunogenic mouse model of CRC was used to evaluate the potential therapeutic efficacy of targeting stromal cell sialylation in overcoming stromal cell-mediated immunosuppression in CRC. Sialic acid-targeting of stroma slowed tumour growth and reduced inflammation-driven metastasis. This was associated with greater infiltration and activation of macrophages and NK cells with stromal cell sialic acid depletion, highlighting stromal cell sialylation as a mechanism of innate immune cell suppression in stromal-rich CRC. C_LI How this study might affect Research, Practice or PolicyO_LIOur research provides insight into a novel mechanism of stromal cell-mediated immunosuppression of innate immune cells in CRC and may open up new avenues of research for targeting stromal cells in stromal-rich TMEs such as pancreatic, breast and ovarian cancers. C_LIO_LIOur research identifies a stromal cell effect of enhancing Siglec expression on tumour infiltrating innate immune cells as a novel immune checkpoint, which may be useful in identifying potential novel immunotherapeutic combinations in future. C_LI Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=151 SRC="FIGDIR/small/642985v1_ufig1.gif" ALT="Figure 1"> View larger version (54K): org.highwire.dtl.DTLVardef@cbafc3org.highwire.dtl.DTLVardef@80474forg.highwire.dtl.DTLVardef@1c9d050org.highwire.dtl.DTLVardef@8b6551_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗