Biology subjects

Xiao, Z.

Publications and source records attributed to Xiao, Z..

At least 55 records · Page 3Linked to original sources

bioRxiv2025

Weak and tunable adhesion-clutch drives rapid cell migration and glioblastoma motility

To move forward, migrating cells must exert backward forces against the extracellular environment. Recent studies have highlighted the importance of integrin-independent forces for cell migration; but the molecular machinery that exerts forces remains unclear. Here, we show that the clutch-linker molecule shootin1 and the cell adhesion molecule L1 transmit the backward force of treadmilling actin filaments to the adhesive environment for rapid dendritic cell migration. Notably, shootin1 and L1 transmit weak traction forces, [~]100 times weaker than integrin-based forces, by constituting an integrin-independent slippery adhesion-clutch. This adhesion-clutch system is tunable in response to the chemoattractant CCL19 and the adhesive ligand laminin and mediates chemotaxis through its polarized activation within cells. Furthermore, its aberrant activity enhances glioblastoma cell motility. Our results show that the weak adhesion-clutch is well-suited for rapid cell migration, without forming strong adhesions that impede cell motility, and provides a potential target for inhibiting abnormal cell motility.

cell biology↗

bioRxiv2025

Replay builds an efficient cognitive map offline to avoid computation online

How do humans integrate fragmented experiences into a coherent structure that supports novel inferences? Addressing this question requires tracking learning from the very first encounters. Using magnetoencephalography, we recorded human neural activity throughout the full process - from initial learning to inference. Participants first learned one-dimensional, pairwise rank relationships that collectively formed a two-dimensional (2D) conceptual map, and then inferred unobserved relationships. During rest, offline replay integrated piecemeal memories into a coherent 2D representation, predicting the emergence of a grid-cell-like code that reflected a generalizable task schema. This schema reduced the need for effortful computations during subsequent inference. During inference, two types of on-task replay emerged: a fast replay, resembling offline replay and representing the full map, and a slow replay, focused on trial-specific details. Notably, slow replay negatively correlated with both grid-like coding and inference performance. Together, these results suggest that replay builds an efficient cognitive map offline, thereby reducing reliance on deliberate computation online.

neuroscience↗

bioRxiv2025

Human hippocampal ripples predict the alignment of experience to a grid-like schema

Humans create internal cognitive maps that allow us to make inferences beyond direct experience. These maps often rely on hexagonal grid-cell-like neural codes, serving as a schema for two-dimensional (2D) spaces. Yet it remains unclear how new experiences become aligned with this schema, especially in non-spatial contexts. Here, we show that hippocampal ripples - brief bursts of neuronal activity during rest - predict the emergence of grid-like codes in a novel 2D inference task. We recorded intracranial neuronal activity in 42 epilepsy patients as they learned rank relationships among feature objects (for example, objects differing in "magic" or "speed"). After learning, these objects were combined to form "compounds" occupying a 2D conceptual space defined by two feature dimensions. During learning, hippocampal ripple activity increased during pauses between trials, suggesting that ripples integrated newly acquired information offline. Subsequently, ripple activity during post-learning rest predicted the later emergence of grid-like codes in the entorhinal cortex (EC) and medial prefrontal cortex (mPFC), a core region of the default mode network (DMN), when participants inferred unseen relationships among the compounds. Critically, coordination during rest between hippocampal ripples and DMN activity in the mPFC predicted participants ability to infer complex relationships beyond direct memory retrieval. These findings provide the first direct evidence that hippocampal ripples, working with the DMN, align new experiences with a grid-like schema offline, transforming discrete learning events into structured knowledge that supports flexible and adaptive reasoning in human cognition.

neuroscience↗

bioRxiv2024

Structure-Based Design of Small-Molecule Inhibitors of Human Interleukin-6

Human Interleukin-6 (hIL-6) is a pro inflammatory cytokine that binds to its receptor, IL-6R followed by binding to gp130 and subsequent dimerization to form a hexamer signaling complex. A critical inflammation mediator, hIL-6 is associated with a diverse range of diseases and monoclonal antibodies are in clinical use that either target IL-6R or hIL-6 to inhibit signaling. Here, we perform high throughput structure-based computational screening using ensemble docking for small molecule antagonists for which the target conformations were taken from 600 ns long molecular dynamics simulations of the apo protein. Prior knowledge of the contact sites from binary complex studies and experimental work was incorporated into the docking studies. The top 20 scored ligands from the in silico studies after post analysis were subjected to in vitro functional assays. Among these compounds, the ligand with second-highest calculated binding affinity showed experimentally [~]84% inhibitory effect on IL6-induced STAT3 reporter activity at 10-5 molar concentration. This finding may pave the way for designing small molecule inhibitors of hIL-6 of therapeutic significance.

bioinformatics↗

bioRxiv2024

Motor compensations, not sensory errors, regulate serial dependence in naturalistic speech production

Motor control is essential for organisms to efficiently interact with the environment by maintaining accurate action and adjusting to future changes. Speech production, one of the most complex motor behaviors, relies on a feedback control process to detect sensory errors and trigger updates in a feedforward control process that implements compensations. However, the specific contributions of these critical processes in sensorimotor learning during continuous vocal production remain debated. Here, we used two experimental designs in five experiments to dissociate these mechanisms. First, we employed a serial-dependence design with randomized pitch perturbations, dissociating the influences of sensory errors and motor compensation on subsequent vocalizations on a trial-by-trial basis. We found that motor compensation, rather than sensory errors, predicted the compensatory responses in the subsequent trials, suggesting instantaneous serial learning mediated by updates in the feedforward process. This compensation-driven serial learning was generalized across productions of different vowel categories. Second, we further implemented a serial-dependence adaptation design in a sentential context, where auditory perturbation occurred only on a preceding syllable. Any learning effects in its subsequent syllable without pitch perturbation would reflect changes in the speech motor representation. Our results consistently revealed that compensation in the preceding syllable predicted pitch changes in the subsequent syllable, but only when the two adjacent syllables were embedded within a word boundary. Collectively, the study provides ecological-valid evidence supporting that error-based motor compensation, incorporating cognitive and linguistic constraints, directly regulates the speech motor representation and mediates the instantaneous serial learning in successive actions.

neuroscience↗

bioRxiv2024

Single cell genome and epigenome co-profiling reveals hardwiring and plasticity in breast cancer

Understanding the impact of genetic alterations on epigenomic phenotypes during breast cancer progression is challenging with unimodal measurements. Here, we report wellDA-seq, the first high-genomic resolution, high-throughput method that can simultaneously measure the whole genome and chromatin accessibility profiles of thousands of single cells. Using wellDA-seq, we profiled 22,123 single cells from 2 normal and 9 tumors breast tissues. By directly mapping the epigenomic phenotypes to genetic lineages across cancer subclones, we found evidence of both genetic hardwiring and epigenetic plasticity. In 6 estrogen-receptor positive breast cancers, we directly identified the ancestral cancer cells, and found that their epithelial cell-of-origin was Luminal Hormone Responsive cells. We also identified cell types with copy number aberrations (CNA) in normal breast tissues and discovered non-epithelial cell types in the microenvironment with CNAs in breast cancers. These data provide insights into the complex relationship between genetic alterations and epigenomic phenotypes during breast tumor evolution.

genomics↗

bioRxiv2024

Impact of Acetate and Optimized Nitrate Levels on Mixotrophic Growth and Protein Dynamics in Chlorella Sorokiniana

Microalgae are well-known for their role as sustainable bio-factories, offering a promising solution to the global food and nutrition crisis. To clarify the potential of Chlorella sorokiniana UTEX 1230 for food applications, particularly as an alternative protein source, the study employed a mixotrophic cultivation mode with sodium acetate (NaAc) as a cost-effective organic carbon (NaAc-C) source. Varying levels of NaAc-C and nitrate-sourced nitrogen were investigated, optimizing the effect of metabolic characteristics of the microalgal growth. The designed heterotrophic cultivation confirmed the ability of C. sorokiniana UTEX 1230 to grow on NaAc-C, and then the mixotrophic cultures, when supported by both NaAc-C and CO2, exhibited superior growth performance, achieving double the biomass concentration compared to the autotrophic control. The addition of nitrogen (750 mg/L NaNO) facilitated the thorough metabolism of NaAc-C and enhanced photosynthetic activity indicated by a 196% increase in pigment levels, which resulted in a maximum biomass concentration of 2.82 g/L in the 150 mM NaAc-C group. A detailed analysis of nitrogen and protein concentrations over time revealed that higher nitrogen availability led to greater protein accumulation which was then degraded to support essential life activities under nitrogen starvation. Therefore, it is suggested that supplementing nitrate on the 3rd day and harvesting on the 4th day could be strategically implemented to increase protein yield from 0.17 g/L/d to 0.34 g/L/d. These findings offer theoretical guidance for further refining this microalgal strain for use as an alternative protein.

bioengineering↗

bioRxiv2024

Universal features of Alternative splicing in response to diverse environmental stimuli in rice and the vital roles of TFs in AS regulation

BackgroundPre-mRNA alternative splicing (AS) plays essential roles in response to environmental stimuli in plants. However, the universal and specific features of splicing in response to diverse environmental conditions remain not fully understood. Recent studies have shown the co-transcriptional characteristics of splicing, which lead to the reasonable speculation that the elements or factors regulating transcription can also affect splicing. Among of which, the effects of transcription factors on alternative splicing in plants under environmental stimuli are still confusing. A large amount 0f public available RNA sequencing data are valuable resources to be re-analyzed for answering questions beyond the aims of their original studies. ResultsWe explored the universal features of AS using a standard RNA-seq dataset TENOR, which stems from rice samples under controlled diverse conditions to provide comprehensive and comparable AS analysis under various conditions. We found that AS widely occurs in rice under stimuli, with significant tissue specificity, temporal dynamics, commonality among different stresses or treatments as well as significant difference between differential alternative splicing and expressed genes (DASGs and DEGs) in rice under environmental stimuli. The majority of DASGs under various stresses are splicing factors and transcription factors. The correlation analysis shows that the expression level of transcription factors is significantly correlated with the PSI of AS events. The predominant transcription factors correlating with alternative splicing events come from bHLH, bzip and hsfa families. We validated the effects of transcription factors on AS by analyzing RNA-seq data from transcription factor mutants and found substantial differential AS events between mutants and wild type. Furthermore, the significant correlation was discovered between the transcription levels of transcription factors and splicing factors. ConclusionWe found universal features of AS and the predominant AS events of SFs and TFs in plants under diverse environments. We propose that TFs might regulated AS of download genes partly by changing the patterns of their own transcription and splicing to further regulate the transcription of SFs. This work illuminate the studies on the possible mechanisms by which TFs modulate AS in plant, especially under environmental stimuli.

plant biology↗

bioRxiv2024

Silk-Ovarioids: Establishment and characterization of human ovarian primary cells 3D-model system

In vitro models that mimic ovaries are crucial for elucidating the biological mechanisms underlying follicle activation and growth. Three-dimensional (3D) systems are particularly relevant because they can replicate the heterogeneity and cell-cell communication between different ovarian cell types. However, complex models using human ovarian primary cells have not yet been established. In this study, we developed and characterized long-term cultured 3D models of primary ovarian somatic cells isolated from adult tissues, using Biosilk as a scaffold. We successfully established both ovarian cortex- and medulla-derived 3D systems, termed Silk-Ovarioids. The presence of key ovarian somatic cell types - including granulosa, stromal, endothelial, and perivascular cells - was confirmed by transcriptomics, proteomics, and immunostaining. Notably, Silk-Ovarioids exhibited the formation of a pro-angiogenic hypoxic core, as evidenced by the development of vessel-like structures after six weeks of culture. The Silk-Ovarioids demonstrated low intra-batch variability and long-term culture stability, underscoring their potential as a robust step towards creating a bioengineered, patient-specific artificial ovary.

cell biology↗

bioRxiv2024

Cholecystokinin modulates age-dependent Thalamocortical Neuroplasticity

The thalamocortical pathways exhibit neuroplasticity not only during the critical period but also in adulthood. In this study, we investigated how cholecystokinin (CCK) modulates age-dependent thalamocortical plasticity. Our findings demonstrated that CCK is expressed in thalamocortical neurons and that high-frequency stimulation (HFS) of the thalamocortical pathway triggers the release of CCK in auditory cortex (ACx), as detected by a CCK sensor. HFS of the medial geniculate body (MGB) induced thalamocortical long-term potentiation (LTP) in wild-type young adult mice. However, knockdown of Cck expression in MGB neurons or blockade of the CCK-B receptor (CCKBR) in the ACx abolished HFS-induced LTP. Interestingly, this LTP could not be elicited in juvenile (3-week-old) or aged mice (over 18-month-old) due to distinct mechanisms: the absence of CCKBR in juveniles and the inability to release CCK in aged mice. Notably, exogenous administration of CCK into the ACx rescued LTP in aged mice and significantly improved frequency discrimination. These findings highlight the potential of CCK as a therapeutic intervention for ameliorating neuroplasticity deficits associated with thalamocortical connectivity.

neuroscience↗

bioRxiv2024

Network for Knowledge Organization (NEKO): an AI knowledge mining workflow for synthetic biology research

Large language models (LLMs) can complete general scientific question-and-answer, yet they are constrained by their pretraining cut-off dates and lack the ability to provide specific, cited scientific knowledge. Here, we introduce Network for Knowledge Organization (NEKO), a workflow that uses LLM Qwen to extract knowledge through scientific literature text mining. When user inputs a keyword of interest, NEKO can generate knowledge graphs and comprehensive summaries from PubMed search. NEKO has immediate applications in daily academic tasks such as education of young scientists, literature review, paper writing, experiment planning/troubleshooting, and new hypothesis generation. We exemplified this workflows applicability through several case studies on yeast fermentation and cyanobacterial biorefinery. NEKOs output is more informative, specific, and actionable than GPT-4s zero-shot Q&A. NEKO offers flexible, lightweight local deployment options. NEKO democratizes artificial intelligence (AI) tools, making scientific foundation model more accessible to researchers without excessive computational power.

bioengineering↗

bioRxiv2024

A host enzyme reduces non-alcoholic fatty liver disease by inactivating intestinal lipopolysaccharide

The incidence of Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) has been increasing world-wide. Since gut-derived bacterial lipopolysaccharides (LPS) can travel via the portal vein to the liver and play an important role in producing hepatic pathology, it seemed possible that (1) LPS stimulates hepatic cells to accumulate lipid, and (2) inactivating LPS can be preventive. Acyloxyacyl hydrolase (AOAH), the eukaryotic lipase that inactivates LPS and oxidized phospholipids, is produced in the intestine, liver, and other organs. We fed mice either normal chow or a high-fat diet for 28 weeks and found that Aoah-/- mice accumulated more hepatic lipid than did Aoah+/+ mice. In young mice, before increased hepatic fat accumulation was observed, Aoah-/-mouse livers increased their abundance of Sterol Regulatory Element-Binding Protein 1 (SREBP1) and the expression of its target genes that promote fatty acid synthesis. Aoah-/- mice also increased hepatic expression of CD36 and Fabp3, which mediate fatty acid uptake, and decreased expression of fatty acid oxidation-related genes Acot2 and Ppar-. Our results provide evidence that increasing AOAH abundance in the gut, bloodstream and/or liver may be an effective strategy for preventing or treating MASLD.

immunology↗

bioRxiv2024

BRD8 guards the pluripotent state by sensing and maintaining histone acetylation

Epigenetic control of cell fates is a critical determinant to maintain cell type stability and permissive differentiation. However, the epigenetic control mechanisms are not well understood. Here, we show that the histone acetyltransferase reader protein BRD8 impairs the conversion of primed mouse EpiSCs (epiblast stem cells) to naive mouse ESCs (embryonic stem cells). BRD8 works by maintaining histone acetylation on promoters and transcribed gene bodies. BRD8 is responsible for maintaining open chromatin at somatic genes, and histone acetylation at naive-specific genes. When Brd8 expression was reduced, chromatin accessibility was unchanged, but histone acetylation at primed-specific genes was reduced. Conversely, naive-specific genes had reduced repressive chromatin marks, and acquired accessible chromatin more rapidly during the cell type conversion. We show that this process requires active histone deacetylation to promote the conversion of primed to naive. Our data supports a model for BRD8 reading histone acetylation to accurately localize the genome-wide binding of the histone acetyltransferase KAT5. Overall, this study shows how the reading of the histone acetylation state by BRD8 maintains cell type stability. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=81 SRC="FIGDIR/small/585857v1_ufig1.gif" ALT="Figure 1"> View larger version (22K): org.highwire.dtl.DTLVardef@199139forg.highwire.dtl.DTLVardef@d735c6org.highwire.dtl.DTLVardef@10b6e15org.highwire.dtl.DTLVardef@16863cf_HPS_FORMAT_FIGEXP M_FIG C_FIG Key findingsO_LIBRD8 blocks the primed-to-naive transition. C_LIO_LIReduced Brd8 promoted the suppression of somatic and primed genes through reduced chromatin repression. C_LIO_LIReduced Brd8 enabled the accelerated activation of naive-specific genes by opening chromatin. C_LIO_LIBRD8 anchors the histone acetyltransferase KAT5 to acetylated genomic loci. C_LI

cell biology↗

bioRxiv2024

Restoring O-glycosylation and expression of MUC2 limits progression of colorectal cancer

This study investigated the molecular mechanisms underlying the regulation of MUC2 expression and O-glycosylation modification in colorectal cancer. In addition, the potential of rosiglitazone to inhibit colorectal cancer by improving MUC2 glycosylation to protect intestinal barrier function was explored. In vitro, lectin staining combined with Co-IP assay was used to detect glycosyltransferases regulating MUC2 O-glycosylation. ChIP and Luciferase experiments were used to verify the transcription factors regulating MUC2 expression level. Samples from CRC patients were used to detect differences in multimolecular expression. The AOM/DSS mouse model was used to validate the effect of rosiglitazone on inhibiting colorectal cancer progression. Our results showed that B3GNT6 acts as a glycosyltransferase to enhance the O-glycosylation level of MUC2 and maintain protein stability to resist degradation by StcE secreting from pathogenic bacteria. Furthermore, KLF4 directly promotes the transcription of B3GNT6 and MUC2, which are regulated by PPARg. Rosiglitazone activated PPARg-KLF4-B3GNT6 axis which increased the expression level and glycosylation of MUC2 and further improved the intestinal mucosal barrier function to delay the development of colorectal cancer in mice. These data suggest that O-glycosylation and expression of MUC2 is key to the maintenance of functional intestinal mucosa and rosiglitazone is a potential colorectal cancer therapeutic agent.

cancer biology↗

bioRxiv2024

Testosterone-Induced Metabolic Changes in Seminal Vesicle Epithelial cells Alter Plasma Components to Enhance Sperm Fertility

Male factors account for almost half of the causes of infertility. In rodents and humans, most of the components of semen are supplied by the seminal vesicles, and they support male reproductive ability, but there are many unknown details. In this study, the metabolic changes in the seminal vesicle epithelial cells were focused on, and the mechanisms by which testosterone affected the seminal plasma composition were investigated. A factor improving the linear motility of sperm was secreted from the seminal vesicles, and it was produced in an androgen-dependent manner. Bioassays, gene expression, and flux analysis studies demonstrated that testosterone promotes glucose uptake in seminal vesicle epithelial cells via GLUT4, resulting in fatty acid synthesis. ACLY was a critical factor in this metabolic change, which produced fatty acid, especially oleic acid. In conclusion, the critical role of testosterone-induced metabolic changes in the seminal vesicles is to ensure the synthesis of fatty acid. These findings suggest that testosterone-dependent lipid remodeling may contribute to sperm straight-line motility, and further functional verification is required. One Sentence Summary Testosterone promotes the conversion of glucose to fatty acid by increasing the expression of ACLY in seminal vesicle epithelial cells, thereby regulating the seminal plasma components.

cell biology↗

bioRxiv2023

Multi-task machine learning reveals the neuroanatomy fingerprint of mental processing

Mental processing delineates the functions of human mind encompassing a wide range of motor, sensory, emotional, and cognitive processes, each of which is underlain by the neuroanatomical substrates. Identifying accurate representation of functional neuroanatomy substrates of mental processing could inform understanding of its neural mechanism. The challenge is that it is unclear whether a specific mental process possesses a functional neuroanatomy fingerprint, i.e., a unique and reliable pattern of functional neuroanatomy that underlies the mental process. To address this question, we utilized a multi-task deep learning model to disentangle the functional neuroanatomy fingerprint of seven different and representative mental processes including Emotion, Gambling, Language, Motor, Relational, Social, and Working Memory. Results based on the functional magnetic resonance imaging data of two independent cohorts of 1235 subjects from the US and China consistently show that each of the seven mental processes possessed a functional neuroanatomy fingerprint, which is represented by a unique set of functional activity weights of whole-brain regions characterizing the degree of each region involved in the mental process. The functional neuroanatomy fingerprint of a specific mental process exhibits high discrimination ability (93% classification accuracy and AUC of 0.99) with those of the other mental processes, and is robust across different datasets and using different brain atlases. This study provides a solid functional neuroanatomy foundation for investigating the neural mechanism of mental processing. One-Sentence SummaryThere exists a functional neuroanatomy fingerprint to underlie the mental process.

bioinformatics↗

bioRxiv2023

Coordinated differentiation of human intestinal organoids with functional enteric neurons and vasculature

Human intestinal organoids (HIOs) derived from human pluripotent stem cells co-differentiate both epithelial and mesenchymal lineages in vitro but lack important cell types such as neurons, endothelial cells, and smooth muscle. Here, we report an in vitro method to derive HIOs with epithelium, mesenchyme, enteric neuroglial populations, endothelial cells, and organized smooth muscle in a single differentiation, without the need for co-culture. When transplanted into a murine host, these populations expand and organize to support organoid maturation and function. Functional experiments demonstrate enteric nervous system function, with HIOs undergoing peristaltic-like contractions, suggesting the development of a functional neuromuscular unit. HIOs also form functional vasculature, demonstrated in vitro using microfluidic devices to introduce vascular-like flow, and in vivo following transplantation, where HIO endothelial cells anastomose with host vasculature. Collectively, we report an in vitro model of the human gut that simultaneously co-differentiates epithelial, stromal, endothelial, neural, and organized muscle populations.

bioengineering↗

bioRxiv2023

A foundation model for bioactivity prediction using pairwise meta-learning

Compound bioactivity plays an important role in different stages of drug development and discovery. Existing machine learning approaches have poor generalization ability in compound bioactivity prediction due to the small number of compounds in each assay and incompatible measurements among assays. Here, we propose ActFound, a foundation model for bioactivity prediction trained on 2.3 million experimentally-measured bioactivity compounds and 50, 869 assays from ChEMBL and BindingDB. The key idea of ActFound is to employ pairwise learning to learn the relative value differences between two compounds within the same assay to circumvent the incompatibility among assays. ActFound further exploits meta-learning to jointly optimize the model from all assays. On six real-world bioactivity datasets, ActFound demonstrates accurate in-domain prediction and strong generalization across datasets, assay types, and molecular scaffolds. We also demonstrated that ActFound can be used as an accurate alternative to the leading computational chemistry software FEP+(OPLS4) by achieving comparable performance when only using a few data points for fine-tuning. The promising results of ActFound indicate that ActFound can be an effective foundation model for a wide range of tasks in compound bioactivity prediction, paving the path for machine learning-based drug development and discovery.

bioinformatics↗