Biology subjects

Yu, T.

Publications and source records attributed to Yu, T..

At least 55 records · Page 3Linked to original sources

bioRxiv2024

Personalized Medicine for Meningiomas: Drug Screening on Tumor Organoids Exposes Therapeutic Vulnerabilities to HDAC1/2i Panobinostat

Managing aggressive meningiomas remains challenging due to limited treatment options besides surgical tumor removal and radiotherapy. To identify novel therapies for aggressive meningiomas, we established a multi-step drug screening workflow, focusing on targetable genes obtained from transcriptome data of highly aggressive grade 3 meningiomas. In vitro screening of 107 targeted drugs identified nine effective inhibitors. To study these drugs in a more natural environment, we established a standardized patient-derived tumor organoid (TO) model preserving accurately the original tissues genotype and phenotype. Individual drug responses were assessed in TOs from 60 molecularly characterized meningioma cases. Especially the FDA-approved epigenetic drug panobinostat demonstrated high antimeningioma efficacy in 70% of TOs, mediated through HDAC1/2 inhibition. In addition, treatment in an orthotopic in vivo model revealed a significantly improved survival. In a heavily pretreated patient suffering from an anaplastic meningioma, oral panobinostat treatment could delay the tumor growth rate. In search of the molecular mechanism underlying a potential intrinsic panobinostat resistance, we identified upregulation of the HDAC8-TGF{beta}-EMT axis in the TO model and subsequent HDAC8 depletion substantially increased the sensitivity to panobinostat. These data highlight the utility of personalized drug screenings on TOs to identify suitable drug targets and inhibitors for a more effective treatment of clinically aggressive meningiomas and help to advance our understanding of counteracting resistance mechanisms. One Sentence SummaryThis study provides strong in vitro, in vivo, ex vivo, and patient evidence for the efficacy of the HDACi panobinostat to treat clinically aggressive meningiomas and uncovered a potential intrinsic resistance mechanism by activation of the HDAC8-TGF{beta}-EMT axis.

cancer biology↗

bioRxiv2024

Heat Acclimation in Mice Requires Preoptic BDNF Neurons and Postsynaptic Potentiation

Heat acclimation (HA) is a key adaptive response in mammals to repeated heat exposure, essential for fitness and survival1-3. HA improves cardiovascular function, thermal comfort, and exercise capacity4, 5. However, the lack of a genetically tractable model has hindered understanding of the molecular and neural mechanisms underlying HA. Here, we show that 10 days of daily 38{degrees}C exposure lowers core body temperature (Tcore) and reduces anxiety during subsequent heat exposures in mice. HA increases brain-derived neurotrophic factor (BDNF) expression in the medial preoptic area (MPO). BDNF-expressing MPO neurons (MPOBDNF) show increased intrinsic heat sensitivity after HA. These neurons orchestrate downstream targets in the dorsomedial hypothalamus (DMH) and rostral raphe pallidus (rRPa) to mediate HA effects. BDNF, acting through its receptor tropomyosin-related kinase B (TrkB) in the DMH, facilitates the anxiolytic effect of HA by enhancing excitatory synaptic connections between MPOBDNF and DMH neurons. This study provides new insights into HA mechanisms, setting the stage for future research on heat stress reduction and exercise optimization.

neuroscience↗

bioRxiv2024

Aurora kinase A promotes trained immunity via regulation of endogenous S-adenosylmethionine metabolism

Innate immune cells can acquire a memory phenotype, termed trained immunity, but the mechanism underlying the regulation of trained immunity remains largely elusive. Here, we demonstrate that inhibition of Aurora kinase A (AurA) dampens trained immunity induced by {beta}-glucan. ATAC-seq and RNA-seq analysis reveals that AurA inhibition restricts chromatin accessibility of genes associated with inflammatory pathways such as JAK-STAT, TNF and NF-{kappa}B pathways. Specifically, AurA inhibition promotes nuclear localization of FOXO3 and the expression of glycine N-methyltransferase (GNMT), a key enzyme responsible for S-adenosylmethionine (SAM) consumption. Metabolomic analysis confirms a reduction in SAM level upon AurA inhibition. As a result of SAM deficiency, trained mouse macrophages exhibit decreased H3K4me3 and H3K36me3 enrichment on gene regions of Il6 and Tnf. Additionally, the tumor inhibition effect of {beta}-glucan is notably abolished by AurA inhibition. Together, our findings identify an essential role of AurA in regulating trained immunity via a methylation-dependent manner by maintaining endogenous SAM level through mTOR-FOXO3-GNMT axis.

immunology↗

bioRxiv2024

Gene therapy for targeting a prenatally enriched potassium channel associated with severe childhood epilepsy and premature death

Dysfunction of the sodium-activated potassium channel KNa1.1 (encoded by KCNT1) is associated with a severe condition characterized by frequent seizures (up to hundreds per day) and is often fatal by age three years. We defined the early developmental onset of KNa1.1 channels in prenatal and neonatal brain tissue, establishing a timeline for pathophysiology and a window for therapeutic intervention. Using patch-clamp electrophysiology, we observed age-dependent increases in KNa1.1 K+conductance. In neurons derived from a child with a gain-of-function KCNT1 pathogenic variant (p.R474H), we detected abnormal excitability and action potential afterhyperpolarization kinetics. In a clinical trial, two individuals with the p.R474H variant showed dramatic reductions in seizure occurrence and severity with a first-in-human antisense oligonucleotide (ASO) RNA therapy. ASO-treated p.R474H neurons in vitro exhibited normalized spiking and burst properties. Finally, we demonstrated the feasibility of ASO knockdown of KNa1.1 in midgestation human neurons, suggesting potential for early therapeutic intervention before the onset of epileptic encephalopathy. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=97 SRC="FIGDIR/small/620125v1_ufig1.gif" ALT="Figure 1"> View larger version (30K): org.highwire.dtl.DTLVardef@eaf38corg.highwire.dtl.DTLVardef@11b7e3corg.highwire.dtl.DTLVardef@1fcce20org.highwire.dtl.DTLVardef@40d364_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

bioRxiv2024

Leveraging large language models for metabolic engineering design

Establishing efficient cell factories involves a continuous process of trial and error due to the intricate nature of metabolism. This complexity makes predicting effective engineering targets a challenging task. Therefore, it is vital to learn from the accumulated successes of previous designs for advancing future cell factory development. In this study, we developed a method based on large language models (LLMs) to extract metabolic engineering strategies from research articles on a large scale. We created a database containing over 29006 metabolic engineering entries, 1210 products and 751 organisms. Using this extracted data, we trained a hybrid model combining deep learning and mechanistic approaches to predict engineering targets. Our model outperformed traditional metabolic engineering target prediction algorithms, excelled in predicting the effects of gene modifications, and generalized well to out-of-distribution products and multiple gene combinations. Our study provides a valuable dataset, a chatbot, and an engineering target prediction model for the metabolic engineering field and exemplifies an efficient method for leveraging existing knowledge for future predictions.

systems biology↗

bioRxiv2024

ADM: Adaptive Graph Diffusion for Meta-Dimension Reduction

Dimension reduction is ubiquitous in high dimensional data analysis. Divergent data characteristics have driven the development of various techniques in this field. Although individual techniques can capture specific aspects of data, they often struggle to grasp all the intricate and complex patterns and structures. To address this limitation, we introduce ADM (Adaptive graph Diffusion for Metadimension reduction), a novel meta-dimension reduction method grounded in graph diffusion theory. ADM integrates results from diverse dimension reduction techniques to leverage the unique strength of each individual technique. By employing dynamic Markov processes, ADM simulates information propagation for each dimension reduction result, thereby transforming traditional spatial measurements into dynamic diffusion distances. Importantly, ADM incorporates an adaptive mechanism to tailor the time scale of information diffusion according to sample-specific attributes. This improvement facilitates a more thorough exploration of the datasets overall structure and allows the heterogeneity among samples.

bioinformatics↗

bioRxiv2024

Fast-scBatch: Batch Effect Correction Using Neural Network-Driven Distance Matrix Adjustment

Batch effect is a frequent challenge in deep sequencing data analysis that can lead to misleading conclusions. Existing methods do not correct batch effects satisfactorily, especially with single-cell RNA sequencing (scRNA-seq) data. To address this challenge, we introduce fast-scBatch, a novel and efficient two-phase algorithm for batch-effect correction in scRNA-seq data, designed to handle non-linear and complex batch effects. Specifically, this method utilizes the inherent correlation structure of the data for batch effect correction and employs a neural network to expedite the process. It outputs a corrected expression matrix, facilitating downstream analyses. We validated fast-scBatch through simulation studies and on two scRNA-seq datasets, demonstrating its superior performance in batch-effect correction compared to current methods, as evidenced by visualization using UMAP plots, and metrics including Adjusted Rand Index (ARI) and Adjusted Mutual Information (AMI).

bioinformatics↗

bioRxiv2024

Fast and Tuning-free Nonlinear Data Embedding and Integration based on DCOL

The rapid progress of single-cell technology has facilitated faster and more cost-effective acquisition of diverse omics data, enabling biologists to unravel the intricacies of cell populations, disease states, and developmental lineages. Additionally, the advent of multimodal single-cell omics technologies has opened up new avenues for studying interactions within biological systems. However, the high-dimensional, noisy, and sparse nature of single-cell omics data poses significant analytical challenges. Therefore, dimension reduction (DR) techniques play a vital role in analyzing such data. While many DR methods have been developed, each has its limitations. For instance, linear methods like PCA struggle to capture the highly diverse and complex associations between cell types and states effectively. In response, nonlinear techniques have been introduced; however, they may face scalability issues in high-dimensional settings, be restricted to single omics data, or primarily focus on visualization rather than producing informative embeddings for downstream tasks. Here, we formally introduce DCOL (Dissimilarity based on Conditional Ordered List) correlation, a functional dependency measure for quantifying nonlinear relationships between variables. Based on this measure, we propose DCOL-PCA and DCOL-CCA, for dimension reduction and integration of single- and multi-omics data. In simulation studies, our methods outperformed eight other DR methods and four joint dimension reduction (jDR) methods, showcasing stable performance across various settings. It proved highly effective in extracting essential factors even in the most challenging scenarios. We also validated these methods on real datasets, with our method demonstrating its ability to detect intricate signals within and between omics data and generate lower-dimensional embeddings that preserve the essential information and latent structures in the data.

bioinformatics↗

bioRxiv2024

Simulations reveal the flexible domain architecture of full-length nuclear receptor complexes

Nuclear receptors are multidomain transcription factors whose full-length quaternary architecture is poorly described and understood. Most nuclear receptors bind DNA as heterodimers or homodimers, which could encompass a variety of arrangements of the individual domains. Only a handful of experimental structures currently exist describing these architectures. Given that domain interactions and protein-DNA interactions within transcriptional complexes are tightly linked to function, understanding the arrangement of nuclear receptor domains on DNA is of utmost importance. Here, we employ modeling and molecular dynamics (MD) simulations to describe the structure of the full-length farnesoid X receptor (FXR) and retinoid X receptor alpha (RXR) heterodimer bound to DNA. Combining over 100 microseconds of atomistic MD simulations with enhanced sampling simulations, we characterize the dynamic behavior of eight FXR-RXR-DNA complexes, showing that these complexes support a range of quaternary architectures. Our simulations reveal critical roles for the hinge in the DNA-bound dimer in facilitating interdomain allostery, mediating DNA binding and driving the dynamic flexibility of the complex. These roles have been hard to appreciate previously due to experimental limitations in studying the flexible hinge. These studies provide a much-needed framework that will enable the field to obtain a complete understanding of nuclear receptor quaternary architectures.

biophysics↗

bioRxiv2024

A Robust Statistical Approach for Finding Informative Spatially Associated Pathways

Spatial transcriptomics offers insights into functional localization of cells by mapping gene expression to spatial locations. Traditional focus on selecting spatially variable genes often misses the complexity of biological pathways and biological network dynamics. We introduce a novel framework that shifts the focus towards identifying functional pathways associated with spatial variability, by adapting the Brownian distance covariance test to explore the heterogeneity of biological functions over space. The statistical approach is free of parameter selection. It allows for a deeper understanding of how cells coordinate their activities across different spatial domains through biological processes. By analyzing real human and mouse datasets, the method found significant pathways that were associated with spatial variation, as well as different pathway patterns among inner- and edge-cancer regions. This innovative framework offers a new perspective on analyzing spatial transcriptomic data, contributing to our understanding of tissue architecture and disease pathology.

bioinformatics↗

bioRxiv2024

Describing interdomain communication and allostery in full-length FXR

Nuclear receptors are ligand-induced transcription factors that bind directly to target genes and regulate their expression. Ligand binding initiates conformational changes that propagate to other domains, allosterically regulating their activity. The nature of this interdomain communication in nuclear receptors is poorly understood, largely owing to the difficulty of experimentally characterizing full-length structures. We have applied computational modeling approaches to describe and study the structure of the full length farnesoid X receptor (FXR), approximated by the DNA binding domain (DBD) and ligand binding domain (LBD) connected by the flexible hinge region. Using extended molecular dynamics simulations (> 10 microseconds) and enhanced sampling simulations, we provide evidence that ligands selectively induce domain rearrangement, leading to interdomain contact. We use protein-protein interaction assays to provide experimental evidence of these interactions, identifying a critical role of the hinge in mediating interdomain contact. Our results illuminate previously unknown aspects of interdomain communication in FXR and provide a framework to enable characterization of other full length nuclear receptors.

biochemistry↗

bioRxiv2024

Hypermigration of macrophages through the concerted action of GRA effectors on NF-κB/p38 signaling and host chromatin accessibility potentiates Toxoplasma dissemination

Mononuclear phagocytes facilitate the dissemination of the obligate intracellular parasite Toxoplasma gondii. Here, we report how a set of secreted parasite effector proteins from dense granule organelles (GRA) orchestrates dendritic cell-like chemotactic and pro-inflammatory activation of parasitized macrophages. These effects enabled efficient dissemination of the type II T. gondii lineage, a highly prevalent genotype in humans. We identify novel functions for effectors GRA15 and GRA24 in promoting CCR7-mediated macrophage chemotaxis by acting on NF-{kappa}B and p38 MAPK signaling pathways, respectively, with contributions of GRA16/18 and counter-regulation by effector TEEGR. Further, GRA28 boosted chromatin accessibility and GRA15/24/NF-{kappa}B-dependent transcription at the Ccr7 gene locus in primary macrophages. In vivo, adoptively transferred macrophages infected with wild-type T. gondii outcompeted macrophages infected with a GRA15/24 double mutant in migrating to secondary organs in mice. The data show that T. gondii, rather than being passively shuttled, actively promotes its dissemination by inducing a finely regulated pro-migratory state in parasitized human and murine phagocytes via co-operating polymorphic GRA effectors. ImportanceIntracellular pathogens can hijack cellular functions of infected host cells to their advantage, for example, for intracellular survival and for dissemination. However, how microbes orchestrate the hijacking of complex cellular processes, such as host cell migration, remains poorly understood. As such, the common parasite Toxoplasma gondii actively invades immune cells of humans and other vertebrates and modifies their migratory properties. Here, we show that the concerted action of a number of secreted effector proteins from the parasite, principally GRA15 and GRA24, act on host cell signaling pathways to activate chemotaxis. Further, the protein effector GRA28 selectively acted on chromatin accessibility in the host cell nucleus to selectively boost host gene expression. The joint activities of effectors culminated in pro-migratory signaling within the infected phagocyte. We provide a molecular framework delineating how T. gondii can orchestrate a complex biological phenotype, such as the migratory activation of phagocytes to boost dissemination.

microbiology↗

bioRxiv2024

A single-cell 3D spatiotemporal multi-omics atlas from Drosophila embryogenesis to metamorphosis

The development of a multicellular organism is a highly intricate process tightly regulated by numerous genes and pathways in both spatial and temporal manners. Here, we present Flysta3D, a comprehensive multi-omics atlas of the model organism Drosophila, spanning its developmental lifespan from embryo to pupa. Our datasets encompass 3D single-cell spatial transcriptomic, single-cell transcriptomic, and single-cell chromatin accessibility information. By integrating these multi-dimensional data, we constructed cell state trajectories that uncover the detailed profiles of tissue development. With a focus on the central nervous system (CNS) and midgut, we dissected the spatiotemporal dynamics of gene regulatory networks, cell type diversity, and morphological changes from a multi-omics perspective. This extensive atlas provides an unprecedentedly rich resource and serves as a systematic platform for studying Drosophila development with integrated single-cell data at an ultra-high spatiotemporal resolution.

developmental biology↗

bioRxiv2024

Differential endothelial cell cycle status in postnatal retinal vessels revealed using a novel PIP-FUCCI reporter and zonation analysis

Cell cycle regulation is critical to blood vessel formation and function, but how the endothelial cell cycle integrates with vascular regulation is not well-understood, and available dynamic cell cycle reporters do not precisely distinguish all cell cycle stage transitions in vivo. Here we characterized a recently developed improved cell cycle reporter (PIP-FUCCI) that precisely delineates S phase and the S/G2 transition. Live image analysis of primary endothelial cells revealed predicted temporal changes and well-defined stage transitions. A new inducible mouse cell cycle reporter allele was selectively expressed in postnatal retinal endothelial cells upon Cre-mediated activation and predicted endothelial cell cycle status. We developed a semi-automated zonation program to define endothelial cell cycle status in spatially defined and developmentally distinct retinal areas and found predicted cell cycle stage differences in arteries, veins, and remodeled and angiogenic capillaries. Surprisingly, the predicted dearth of proliferative tip cells at the vascular front was accompanied by an unexpected enrichment for endothelial tip cells in G2, suggesting G2 stalling as a contribution to tip-cell arrest. Thus, this improved reporter precisely defines endothelial cell cycle status in vivo and reveals novel G2 regulation that may contribute to unique aspects of blood vessel network expansion.

cell biology↗

bioRxiv2023

Pu.1/Spi1 dosage controls the turnover and maintenance of microglia in zebrafish and mammals

Microglia are brain-resident macrophages playing pivotal roles in CNS development and homeostasis. Yet, the cellular and molecular basis governing microglia maintenance remains largely unknown. Here, via utilizing a visible conditional knockout allele of pu.1 gene (the master regulator for microglia/macrophage lineage development) to generate mosaic microglia populations in adult zebrafish, we show that while pu.1-deficient microglia are immediate viable, they are less competitive and chronically eliminated through Tp53-mediated cell competition. Interestingly, when conditionally inactivating Pu.1 in adult spi-b (the orthologue of mouse Spi-b) null mutants, microglia are rapidly depleted via apoptosis, suggesting that Pu.1 and Spi-b regulate microglia maintenance in a dosage-dependent manner. The dosage-dependent regulation of microglia maintenance by PU.1 is evolutionarily conserved in mice, as shown by conditionally inactivating single and both Pu.1 alleles in microglia respectively. Collectively, our study reveals the conserved cellular and molecular mechanisms controlling microglia turnover and maintenance in teleost and mammals.

developmental biology↗

bioRxiv2023

E3 ligase ASB3 downregulates antiviral innate immunity by targeting MAVS for ubiquitin-proteasomal degradation

E3 ubiquitin ligases are very important to regulate antiviral immunity during viral infection. Here, we discovered that Ankyrin repeat and SOCS box-containing protein 3 (ASB3), an E3 ligase, are upregulated in the presence of RNA viruses, particularly Influenza A virus (IAV). Notably, overexpression of ASB3 inhibits type I IFN (IFN-I) responses induced by Sendai virus (SeV) and H9N2, and ablation of ASB3 restores SeV and H9N2 infection-mediated transcription of IFN-{beta} and its downstream interferon-stimulated genes (ISGs). Interestingly, animals lacking ASB3 showed a decreased susceptibility to H9N2 and PR8 infections. Mechanistically, ASB3 interacts with MAVS and directly mediates K48-linked polyubiquitination and degradation of MAVS at K297, thereby inhibiting the phosphorylation levels of TBK1 and IRF3, downregulating downstream antiviral signaling. These findings establish ASB3 as a critical negative regulator in controlling the activation of antiviral signaling and describe a novel function of ASB3 that has not been previously reported. IMPORTANCEIAV is a significant zoonotic pathogen that causes infections of the respiratory system. Hosts have evolved multiple strategies to defend against IAV infection. However, not all host proteins play an active defense role. In this study, we found that the E3 ligase ASB3 regulates antiviral immunity by manipulating MAVS stability. Briefly, overexpression of ASB3 degrades MAVS, thereby promoting viral replication. In contrast, ASB3 deletion restores MAVS expression, upregulating IFN-I responses. Additional research revealed that ASB3 mediates the K48-linked polyubiquitination of MAVS at K297, resulting in ASB3 being degraded via the ubiquitin-proteasome pathway. These findings reveal, for the first time, a novel mechanism by which ASB3 negatively regulates antiviral immunity and provides a potential target for anti-IAV drug development.

immunology↗

bioRxiv2023

NLRP3 Cys126 palmitoylation by ZDHHC7 Promotes Inflammasome Activation

NACHT-, leucine-rich-repeat- (LRR), and pyrin domain-containing protein 3 (NLRP3) mediates inflammasome activation in response to multiple pathogen and damage-associated molecular patterns in macrophages. Hyperactivation of NLRP3 inflammasome contributes to many human chronic inflammatory diseases. Understanding how NLRP3 inflammasome is regulated can potentially provide new strategies to treat inflammatory diseases. Here, we demonstrated that NLRP3 is palmitoylated on Cys126 by palmitoyl-acyltransferase ZDHHC7 in macrophages, which is critical for NLRP3-mediated inflammasome activation. Perturbating NLRP3 Cys126 palmitoylation by ZDHHC7 knockout, pharmacological inhibition, or modification site mutation, diminishes NLRP3 activation and the consequential Caspase-1 and Gasdermin D (GSDMD) cleavage, and IL-1{beta} and IL-18 secretion in mouse primary macrophages and human macrophages. Furthermore, NLRP3 Cys126 palmitoylation is vital for inflammasome activation in vivo, as Zdhhc7 knockout, pharmacological inhibition, or NLRP3 C126A mutation protects mice from LPS-induced endotoxic shock and monosodium urate (MSU)-induced peritonitis. Mechanistically, ZDHHC7-mediated NLRP3 Cys126 palmitoylation promotes resting NLRP3 localizing on the trans-Golgi network (TGN) and activated NLRP3 on the dispersed TGN (dTGN), which is indispensable for the recruitment and oligomerization of adaptor protein ASC after inflammasome activation. The activation of NLRP3 by ZDHHC7-mediated Cys126 palmitoylation is different from the previously reported inhibitory effect by ZDHHC12-mediated Cys841 palmitoylation, highlighting the versatile regulatory roles of S-palmitoylation. Therefore, our study identifies a new regulatory mechanism of NLRP3 activation and suggests targeting ZDHHC7 or NLRP3 Cys126 residue as a potential therapeutic strategy to treat NLRP3-related human disorders. HighlightsO_LINLRP3 Cys126 is palmitoylated by ZDHHC7. C_LIO_LIZDHHC7 promotes NLRP3 activation in macrophages, which can be inhibited by ZDHHCs inhibitors, 2-bromopalmitate and MY-D4. C_LIO_LICys126 palmitoylation of NLRP3 is critical for NLRP3 activation. C_LIO_LINLRP3 TGN/dTGN localization depends on ZDHHC7-mediated Cys126 palmitoylation, which is crucial for ASC recruitment and inflammasome assembly. C_LIO_LINLRP3 inflammasome activation by ZDHHC7 differs from ZDHHC12-mediated NLRP3 inhibition. C_LI

immunology↗

bioRxiv2023

Single-cell transcriptomic and genomic changes in the aging human brain

Aging brings dysregulation of various processes across organs and tissues, often stemming from stochastic damage to individual cells over time. Here, we used a combination of single-nucleus RNA-sequencing and single-cell whole-genome sequencing to identify transcriptomic and genomic changes in the prefrontal cortex of the human brain across life span, from infancy to centenarian. We identified infant-specific cell clusters enriched for the expression of neurodevelopmental genes, and a common down-regulation of cell-essential homeostatic genes that function in ribosomes, transport, and metabolism during aging across cell types. Conversely, expression of neuron-specific genes generally remains stable throughout life. We observed a decrease in specific DNA repair genes in aging, including genes implicated in generating brain somatic mutations as indicated by mutation signature analysis. Furthermore, we detected gene-length-specific somatic mutation rates that shape the transcriptomic landscape of the aged human brain. These findings elucidate critical aspects of human brain aging, shedding light on transcriptomic and genomics dynamics.

genomics↗