Biology subjects

Long, Y.

Publications and source records attributed to Long, Y..

At least 55 records · Page 3Linked to original sources

bioRxiv2024

A nanobody-enzyme fusion protein targeting PD-L1 and sialic acid exerts anti-tumor effects by affecting tumor associated macrophages

Cancer cells employ various mechanisms to evade immune surveillance. Their surface features, including a protective "sugar coat" and immune checkpoints like PD-L1 (programmed death ligand 1), can impede immune cell recognition. Sialic acids, which carry negative charges, may hinder cell contact through electrostatic repulsion, while PD-L1 transmits immunosuppressive signals to T cells. Furthermore, cancer cells manipulate macrophages within the tumor microenvironment to facilitate immune escape. Prior research has demonstrated the effectiveness of separately blocking the PD-L1 and sialic acid pathways in eliciting anti-tumor effects. In this study, we investigated the relationship between PD-L1 expression and genes associated with sialic acid in clinical databases. Subsequently, we developed a novel nanobody enzyme fusion protein termed Nb16-Sia to simultaneously target both PD-L1 and sialic acid pathways. In vivo experiments confirmed the anti-tumor activity of Nb16-Sia and highlighted its dependence on macrophages. Further investigations revealed that Nb16-Sia could polarize macrophages towards the M1 phenotype through the C-type lectin pathway in vitro and eliminate tumor-associated macrophages in vivo. In conclusion, our findings demonstrate that the fusion of PD-L1 nanobody with sialidase effectively targets tumor-associated macrophages, resulting in significant anti-tumor effects. This approach holds promise for drug development aimed at enhancing immune responses against cancer.

pharmacology and toxicology↗

bioRxiv2024

The novel role of Kallistatin in linking metabolic syndromes and cognitive memory deterioration by inducing amyloid-β plaques accumulation and tau protein hyperphosphorylation

Accumulation of amyloid {beta} (A{beta}) peptides and hyperphosphorylated tau proteins in the hippocampus triggers cognitive memory decline in Alzheimers disease (AD). The incidence and mortality of sporadic AD were tightly associated with diabetes and hyperlipidemia, while the exact linked molecular is uncertain. Here, we reported that serum Kallistatin concentrations were meaningfully higher in AD patients, with a higher concentration of fasting blood glucose and triglyceride. In addition, the constructed Kallistatin-transgenic (KAL-TG) mice defined its cognitive memory impairment phenotype and lower LTP in hippocampal CA1 neurons accompanied by increased A{beta} deposition and tau phosphorylation. Mechanistically, Kallistatin could directly bind to the Notch1 receptor and thereby upregulate BACE1 expression by inhibiting PPAR{gamma} signaling, resulting in A{beta} cleavage and production. Besides, Kallistatin could promote the phosphorylation of tau by activating GSK-3{beta}. Fenofibrate, a hypolipidemic drug, could alleviate cognitive memory impairment by down-regulating A{beta} and tau phosphorylation of KAL-TG mice. Collectively, our data clarified a novel mechanism for A{beta} accumulation and tau protein hyperphosphorylation regulation by Kallistatin, which might play a crucial role in linking metabolic syndromes and cognitive memory deterioration, and suggested that fenofibrate might have the potential for treating metabolism-related AD. HighlightsO_LIKallistatin-transgenic (KAL-TG) mice defined its cognitive memory impairment phenotype accompanied by increased A{beta} deposition and tau phosphorylation. C_LIO_LIKallistatin could directly bind to the Notch1 receptor and thereby upregulate BACE1 expression by inhibiting PPAR{gamma} signaling. C_LIO_LIFenofibrate could alleviate cognitive memory impairment and down-regulate the serum Kallistatin level. C_LI

neuroscience↗

bioRxiv2024

CMTM6 maintains B cell intrinsic CD40 expression to regulate anti-tumor immunity

HighlightsO_LIB cells participate in anti-tumor immunity by influencing the intratumoral infiltration and function of T cells; C_LIO_LICMTM6 cis-interacts with CD40 and inhibits ubiquitin/proteasome-mediated CD40 degradation to maintain CD40 cell membrane levels; C_LIO_LILoss of B cell-intrinsic CMTM6 significantly reduces CD40 signaling-mediated B cell activation, survival, differentiation, T/B cell interaction and anti-tumor immunity; C_LIO_LIB cell-intrinsic CMTM6 deficiency leads to a significant reduction in the anti-tumor activity CD40 agonists and ICB therapy. C_LI In BriefLong et al. demonstrate that B-cell intrinsic CMTM6 regulates CD40 signaling and function via maintaining the cell membrane level of B-cell CD40 through ubiquitin-proteasome pathway inhibition, thereby affecting B cell function, anti-tumor B-cell immunity and the efficacy of CD40 agonist and ICB therapy. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=137 SRC="FIGDIR/small/583639v2_ufig1.gif" ALT="Figure 1"> View larger version (35K): org.highwire.dtl.DTLVardef@7639cdorg.highwire.dtl.DTLVardef@1ccddaaorg.highwire.dtl.DTLVardef@ecc9f3org.highwire.dtl.DTLVardef@1be8cb0_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOGraphic AbstractsC_FLOATNO C_FIG The essential role of B cells and B cell intrinsic molecules in tumor immunity is beginning to be recognized. Tumor cell CMTM6 is a novel tumor immunoregulator involved in maintaining membrane levels of several important molecules, such as PD-L1 and CD58. Host CMTM6 may also play a function in the tumor microenvironment. Here, we found that CMTM6 was highly expressed in splenic B cells and tumor-infiltrating B cells. CMTM6 deficiency resulted in impaired splenic development, germinal center B cell differentiation, memory B cell differentiation, T/B cell interaction and B cell anti-tumor immune responses. Through multi-omics data mining and B-cell agonist screening, we identified that CMTM6 interacted with CD40 and maintained CD40 membrane levels in B cells. CMTM6 cis-interacts with CD40 and inhibits ubiquitin/proteasome-mediated CD40 degradation. CMTM6 deficiency led to impaired CD40 signaling-mediated B cell activation, survival, proliferation, differentiation and T/B cell interaction. In vivo, CMTM6 deficiency leads to a significant decrease in the anti-tumor activity of ICB therapy and B cell-dependent CD40 agonists. Collectively, B-cell intrinsic CMTM6 maintains B cell CD40 levels and signaling to promote B cell function and anti-tumor immunity.

immunology↗

bioRxiv2023

A Day in the Life of Arabidopsis: 24-Hour Time-lapse Single-nucleus Transcriptomics Reveal Cell-type specific Circadian Rhythms

Functional circadian clock is fundamental to the adaptation and survival of organisms. In land plants, the comprehensive profiling of circadian gene expression at the single-cell level is largely unknown partly due to the challenges in obtaining precisely-timed single cells from plant cells embedded within cell walls. To bridge this gap, we employed single-nucleus RNA sequencing (snRNA-seq) on twelve seedling samples collected at 2-hour intervals over a 24-hour day in Arabidopsis, yielding a total of over 130,000 nuclei. From this data, we found that three cell clusters in the shoot share a coherent rhythm, while more than 3,000 genes display cell-type specific rhythmic expression. Only 19 genes are oscillating in more than ten different cell types, and the majority of them are well-documented core oscillators, suggesting the snRNA-seq circadian data could be used to identify key circadian regulators in a broad range of plant systems. Our data provides the first comprehensive resource for plant circadian rhythms at the single-cell level (hosted at https://zhailab.bio.sustech.edu.cn/sc_circadian).

plant biology↗

bioRxiv2023

INHBA/Activin A promotes tumor growth and induces resistance to anti-PD-L1 therapy by suppressing IFN-γ signaling

Inhibin beta A (INHBA) and its homodimer activin A have pleiotropic effects on modulation of immune responses and tumor progression, respectively, but it remains uncertain whether tumors may release activin A to regulate anti-tumor immunity. As evidenced by our RNA-Seq and in vitro results, the interferon-{gamma} (IFN-{gamma}) signaling pathway was significantly down-regulated by tumor intrinsic activin A. Tumor INHBA deficiency led to lower expression of PD-L1 induced by IFN-{gamma}, resulting in poor responsiveness to anti-PD-L1 therapy. On the other hand, decreased secretion of IFN-{gamma}-stimulated chemokines, including C-X-C motif chemokine 9 (CXCL9) and 10 (CXCL10), impaired the infiltration of effector T cells into the tumor microenvironment. Furthermore, the activin A-specific antibody garetosmab improved anti-tumor immunity and its combination with the anti-PD-L1 antibody atezolizumab showed a superior therapeutic effect to monotherapy. Our findings reveal that INHBA/activin A is involved in anti-tumor immunity by inhibiting the IFN-{gamma} signaling pathway and considered to be a potential target to overcome anti-PD-L1 resistance in clinical cancer treatment.

immunology↗

bioRxiv2023

Golgi-associated retrograde protein (GARP) complex recruits retromer to trans-Golgi network for FgKex2 and FgSnc1 recycling, necessary for development and pathogenicity of Fusarium graminearum

In eukaryotic cells, the retromer complex plays a crucial role in orchestrating the sorting and retrograde transport of cargo proteins from endosomes to the trans-Golgi network (TGN). Despite its significance, the molecular details of this intracellular trafficking process remain unclear. Here, we identified a Golgi-associated retrograde protein (GARP) complex as a mediator of vesicular transport, facilitating the recruitment of the retromer complex to TGN to exert its functions. The GARP complex is mainly localized to the TGN, where it interacts with the retromer complex. This interaction is evolutionarily conserved across different species. Furthermore, we identified FgKex2 and Fgsnc1 as cargo proteins in the GARP/retromer-mediated recycling pathway. Loss of GARP or retromer results in a complete mis-sorting of FgKex2 and FgSnc1 to the vacuolar degradation pathway, which affects the growth, development, toxisome biogenesis, and pathogenicity of F. graminearum. In summary, we assert that GARP facilitates the recruitment of retromer from endosomes to the TGN, orchestrating the recycling of FgKex2 and FgSnc1. This is integral to sustaining continuous growth, development and contributes significantly to the pathogenicity of F. graminearum.

microbiology↗

bioRxiv2023

Rapid and prolonged response of oligodendrocyte lineage cells in standard acute cuprizone demyelination model revealed by in situ hybridization

Dietary administration of a copper chelator, cuprizone (CPZ), has long been reported to induce intense and reproducible demyelination of several brain structures such as the corpus callosum (CC) in mice, followed by spontaneous remyelination after drug withdrawal. Despite the widespread use of CPZ as an animal model for demyelinating diseases such as multiple sclerosis (MS), the mechanism by which it induces demyelination and then allows robust remyelination is still unclear. An intensive mapping of the oligodendrocyte (OL) lineage cell dynamics during the de-and remyelination course would be of particular importance for a deeper understanding of this model. Here, using a panel of OL lineage cell markers as in situ hybridization (ISH) probes, including Pdgfra, Plp, Mbp, Mog, Enpp6, combined with immunofluorescence staining of CC1, SOX10, we provide a detailed dynamic profile of OL lineage cells during the entire course of the model from 3.5 days, 1, 2, 3, 4,5 weeks of CPZ treatment, i.e. the demyelination period, as well as after 1, 2, 3, 4 weeks of recovery (drug withdrawal) from 5 weeks of CPZ treatment, i.e. the remyelination period. The result showed an unexpected early death of mature OLs and response of OL progenitor cells (OPCs) in vivo upon CPZ challenge, and a prolonged upregulation of myelin-forming OLs compared to the intact control even 4 weeks after CPZ withdrawal. These data may point to the need to optimize the timing windows for the introduction of pro-remyelination therapies in demyelinating diseases such as MS, and may serve as a basic reference system for future studies of the effects of any intervention on demyelination and remyelination using the CPZ model.

neuroscience↗

bioRxiv2023

Benchmarking Machine Learning Methods for Synthetic Lethality Prediction in Cancer

Synthetic lethality (SL) is a type of genetic interaction that occurs when defects in two genes cause cell death, while a defect in a single gene does not. Targeting an SL partner of a gene mutated in cancer can selectively kill tumor cells. Traditional wet-lab experiments for SL screening are resource-intensive. Hence, many computational methods have been developed for virtual screening of SL gene pairs. This study benchmarks recent machine learning methods for SL prediction, including three matrix factorization and eight deep learning models. We scrutinize model performance using various data splitting scenarios, negative sample ratios, and negative sampling methods on both classification and ranking tasks to assess the models generalizability and robustness. Our benchmark analyzed performance differences among the models and emphasized the importance of data and real-world scenarios. Finally, we suggest future directions to improve machine learning methods for SL discovery in terms of predictive power and interpretability.

bioinformatics↗

bioRxiv2023

Predicting Affinity Through Homology (PATH): Interpretable Binding Affinity Prediction with Persistent Homology

Accurate binding affinity prediction is crucial to structure-based drug design. Recent work used computational topology to obtain an effective representation of protein-ligand interactions. While algorithms using algebraic topology have proven useful in predicting properties of biomolecules, previous algorithms employed uninterpretable machine learning models which failed to explain the underlying geometric and topological features that drive accurate binding affinity prediction. Moreover, they had high computational complexity which made them intractable for large proteins. We present the fastest known algorithm to compute persistent homology features for protein-ligand complexes using opposition distance, with a runtime that is independent of the protein size. Then, we exploit these features in a novel, interpretable algorithm to predict protein-ligand binding affinity. Our algorithm achieves interpretability through an effective embedding of distances across bipartite matchings of the protein and ligand atoms into real-valued functions by summing Gaussians centered at features constructed by persistent homology. We name these functions internuclear persistent contours (IPCs). Next, we introduce persistence fingerprints, a vector with 10 components that sketches the distances of different bipartite matching between protein and ligand atoms, refined from IPCs. Let the number of protein atoms in the protein-ligand complex be n, number of ligand atoms be m, and{omega} {approx} 2.4 be the matrix multiplication exponent. We show that for any 0 < {varepsilon} < 1, after an [O] (mn log(mn)) preprocessing procedure, we can compute an{varepsilon} -accurate approximation to the persistence fingerprint in [O] (m log6{omega}(m/{varepsilon})) time, independent of protein size. This is an improvement in time complexity by a factor of [O] ((m+ n)3) over any previous binding affinity prediction that uses persistent homology. We show that the representational power of persistence fingerprint generalizes to protein-ligand binding datasets beyond the training dataset. Then, we introduce PATH, Predicting Affinity Through Homology, a two-part algorithm consisting of PATH+ and PATH-. PATH+ is an interpretable, small ensemble of shallow regression trees for binding affinity prediction from persistence fingerprints. We show that despite using 1,400-fold fewer features, PATH+ has comparable performance to a previous state-of-the-art binding affinity prediction algorithm that uses persistent homology. Moreover, PATH+ has the advantage of being interpretable. We visualize the features captured by persistence fingerprint for variant HIV-1 protease complexes and show that persistence fingerprint captures binding-relevant structural mutations. PATH-, in turn, uses regression trees over IPCs to differentiate between binding and decoy complexes. Finally, we benchmarked PATH versus established binding affinity prediction algorithms spanning physics-based, knowledge-based, and deep learning methods, revealing that PATH has comparable or better performance with less overfitting, compared to these state-of-the-art methods. The source code for PATH is released open-source as part of the osprey protein design software package.

bioinformatics↗

bioRxiv2023

MYC amplifies mitotic perturbations elicited by LXY18 to enable synthetic lethality

The MYC oncoprotein represents an intriguing target for cancer treatment, but its therapeutic potential has been hindered by the absence of specific pharmacological inhibitors. In this study, we demonstrate that the phenoxy quinoline compound LXY18 selectively targets and eliminates cells overexpressing MYC, leaving non-transformed cells unharmed. This synthetic lethality arises from an acute induction of multipolarity, resulting in a persistent arrest in early mitosis followed by cell death in mitosis or after mitotic slippage. Distinctively, LXY18s action contrasts with other antimitotic compounds, as they either fail to induce mitotic arrest or elicit mitotic arrest irrespective of MYC abundance. Furthermore, the MYC abundance in a panel of 98 tumor cell lines correlates with their sensitivity to LXY18. Collectively, our findings uncover LXY18 as an MYC- enabled mitotic blocker and open a new avenue to selectively target MYC-overexpressing tumor cells without affecting normal cells.

cancer biology↗

bioRxiv2023

Transport and inhibition mechanism for VMAT2-mediated synaptic loading of monoamines

Monoamine neurotransmitters such as serotonin and dopamine are loaded by vesicular monoamine transporter 2 (VMAT2) into synaptic vesicles for storage and subsequent release in neurons. Impaired VMAT2 function underlies various neuropsychiatric diseases. VMAT2 inhibitors reserpine and tetrabenazine are used to treat hypertension, movement disorders associated with Huntingtons Disease and Tardive Dyskinesia. Despite its physiological and pharmacological significance, the structural basis underlying substrate recognition, and inhibition by varying mechanisms remains unknown. Here we present cryo-EM structures of human apo VMAT2 in addition to states bound to serotonin, tetrabenazine, and reserpine. These structures collectively capture three states, namely the lumen-facing, occluded, and cytosol-facing conformations. Notably, tetrabenazine induces a substantial rearrangement of TM2 and TM7, extending beyond the typical rocker-switch movement. These functionally dynamic snapshots, complemented by biochemical analysis, unveil the essential components responsible for ligand recognition, elucidate the proton-driven exchange cycle, and provide a framework to design improved pharmaceutics targeting VMAT2.

biophysics↗

bioRxiv2023

PRO-LDM: Protein Sequence Generation with Conditional Latent Diffusion Models

AbstractsDeep learning-driven protein design holds enormous potential despite the complexities in sequences and structures. Recent developments in diffusion models yielded success in structure design, but awaits progress in sequence design and are computationally demanding. Here we present PRO-LDM: an efficient framework combining design fidelity and computational efficiency, utilizing the diffusion model in latent space to design proteins with property tuning. The model employs a joint autoencoder to capture latent variable distributions and generate meaningful embeddings from sequences. PRO-LDM (1) learns representations from biological features in natural proteins at both amino-acid and sequence level; (2) generates native-like new sequences with enhanced diversity; and (3) conditionally designs new proteins with tailored properties or functions. The out-of-distribution design enables sampling notably different sequences by adjusting classifier guidance strength. Our model presents a feasible pathway and an integratable tool to extract physicochemical and evolutionary information embedded within primary sequences, for protein design and optimization.

bioengineering↗

bioRxiv2023

Evaluation of the RNA-dependence of PRC2 binding to chromatin in human pluripotent stem cells

Polycomb Repressive Complex 2 (PRC2), an important histone modifier and epigenetic repressor, has been known to interact with RNA for almost two decades. In our previous publication (Long, Hwang et al. 2020), we presented data supporting the functional importance of RNA interaction in maintaining PRC2 occupancy on chromatin, using comprehensive approaches including an RNA-binding mutant of PRC2 and an rChIP-seq assay. Recently, concerns have been expressed regarding whether the RNA-binding mutant has impaired histone methyltransferase activity and whether the rChIP-seq assay can potentially generate artifacts. Here we provide new data that support a number of our original findings. First, we found the RNA-binding mutant to be fully capable of maintaining H3K27me3 levels in human induced pluripotent stem cells. The mutant had reduced methyltransferase activity in vitro, but only on some substrates at early time points. Second, we found that our rChIP-seq method gave consistent data across antibodies and cell lines. Third, we further optimized rChIP-seq by using lower concentrations of RNase A and incorporating a catalytically inactive mutant RNase A as a control, as well as using an alternative RNase (RNase T1). The EZH2 rChIP-seq results using the optimized protocols supported our original finding that RNA interaction contributes to the chromatin occupancy of PRC2.

molecular biology↗

bioRxiv2023

Comparative single-nucleus RNA-seq analysis captures shared and distinct responses to beneficial and pathogenic microbes in roots

Distinguishing and differentially responding to beneficial and pathogenic microbes are fundamental for plants to maintain microbiome homeostasis and promoting plant fitness. Using a recently developed protoplast-free single-nucleus RNA-seq approach, we generated single-cellular atlas of root responses to beneficial and pathogenic microbes. Notably, we identified triterpene biosynthesis as a novel cell type specific response to root pathogens and genetically confirmed the role of triterpene biosynthesis in regulating beneficial/pathogenic microbe ratios in a two-strain mixed community. Our results provide novel insights and vital resources for further elucidating novel regulators of beneficial and pathogenic microbe colonization and microbiome homeostasis.

plant biology↗

bioRxiv2023

Integrated analysis of spatial multi-omics with SpatialGlue

Integration of multiple data modalities in a spatially informed manner remains an unmet need for exploiting spatial multi-omics data. We introduce SpatialGlue, a graph neural network with dual-attention mechanism, to learn each modalitys significance at cross-omics and intra-omics integration. We demonstrate that SpatialGlue can accurately aggregate cell types into spatial domains at a higher resolution on different tissue types and technology platforms, as well as gain insights into cross-modality spatial correlations.

bioinformatics↗

bioRxiv2023

Characterization of mitotic phenotypes associated with a MYC synthetic lethal compound

Therapeutic targeting of MYC directly has proven difficult, but several means to target MYC indirectly using a synthetic lethal drug approach have been proposed. Synthetic lethal approaches for MYC have sought to take advantage of vulnerabilities MYC imposes related to either metabolic reprogramming, apoptotic signaling or the cycling of cancer cells. Here, we describe in detail the cell division phenotypes induced by a MYC synthetic lethal compound, dimethylfasudil (diMF). DiMF is a known ROCK inhibitor, but structurally related ROCK inhibitors are not synthetic lethal with MYC, so the activity of diMF is not related to blockade of this family of kinases. Instead, this compound induced multiple cell cycle-related liabilities. These included the early mitotic arrest of cycling cells followed by mitotic catastrophe-induced death and the induction of polyploidy in cells that do manage to pass through mitosis. As early as prometaphase, we noted diminished staining for BUB1 kinase, which binds to kinetochores and regulates the mitotic spindle checkpoint and chromosome congression. Kinetochore proteins, such as CENP-F, failed to localize at the metaphase plate, confirming a deficit in centromere assembly. This, presumably, contributed to the development of segregation anomalies in diMF-treated cells. In anaphase cells, the protein regulator of cytokinesis 1 (PRC1), failed to be recruited to the midzone, leading to a cascade of defects that included failed recruitment of the chromosomal passenger protein complex, the centralspindlin complex and polo-like-kinase 1 (PLK1). These observations correlate well with the cell death phenotypes induced by diMF, which may serve as a prototype MYC synthetic lethal compound to explore synthetic lethal therapy or as a scaffold upon which to build superior compounds. The phenotypes described here serve as examples of MYC synthetic lethal drug effects that can be used to explore and maximize drug discovery programs.

cancer biology↗

bioRxiv2023

2D Effects Enhance Precision of Gradient-Based Tissue Patterning

Robust embryonic development requires pattern formation with high spatial accuracy. In epithelial tissues that are patterned by morphogen gradients, the emerging patterns achieve levels of precision that have recently been explained by a simple one-dimensional reaction-diffusion model with kinetic noise. Here, we show that patterning precision is even greater if transverse diffusion effects are at play in such tissues. The positional error, a measure for spatial patterning accuracy, decreases in wider tissues but then saturates beyond a width of about ten cells. This demonstrates that the precision of gradient-based patterning in two- or higher-dimensional systems can be even greater than predicted by 1D models, and further attests to the potential of noisy morphogen gradients for high-precision tissue patterning.

developmental biology↗

bioRxiv2023

Wireless Electrical-Molecular Quantum Signalling for Cancer Cell Induced Death

Quantum biological tunnelling for electron transfer (QBET) is involved in controlling cellular behaviour. Control of electrical-molecular communication could revolutionise the development of disruptive technologies for understanding and modulating electrically induced molecular signalling. Current communication technology is not appropriate for interfacing with cells at a spatial/temporal level equivalent to the native biological signalling. This limits our ability to tune cell function by controlling single molecular events. Here, we merge wireless nano-electrochemical tools with cancer cells. Gold-bipolar nanoelectrodes functionalised with redox active species were developed as electric field stimulated bio-actuators, that we term bio-nanoantennae. We show that a remote electrical input regulates electron transport between the redox molecules on the bio-nanoantennae in a selective manner. The wireless modulation of electron transport results in QBET triggering apoptosis in patient-derived cancer cells, representing electrical-induced induced controlled molecular signalling. Transcriptomics data highlight the electric field-induced nanoantenna targets the cancer cells in a unique manner. The insight concerning action and functional nanomaterials opens a plethora of applications in healthcare. This approach may lead to new quantum-based medical diagnostics and treatments, as well as a fundamental understanding of biological physics.

biophysics↗