Biology subjects

Yi, Y.

Publications and source records attributed to Yi, Y..

At least 37 records · Page 2Linked to original sources

bioRxiv2024

Intranasal dantrolene nanoparticles inhibit lipopolysaccharide-induced depression and anxiety behavior in mice

This study investigates the therapeutic effectiveness of intranasal dantrolene nanoparticles pretreatment to inhibit lipopolysaccharide (LPS)-induced pathological inflammation and synapse destruction and depressive and anxiety behavior in mice. B6SJLF1/J adult mice were pretreated with intranasal dantrolene nanoparticles (dantrolene: 5mg/kg), daily, Monday to Friday, 5 days per week, for 4 weeks. Then, mice were treated with intraperitoneal injection of LPS (5mg/kg) for one time. Behavioral tests for depression and anxiety were performed 24 hours after a one-time LPS injection. Biomarkers for pyroptosis-related inflammation cytokines (IL-1{beta} and IL-18) in blood and brains were measured using enzyme-linked immunosorbent assay (ELISA) and immunoblotting, respectively. The changes of primary proteins activation inflammatory pyroptosis (NLRP3: NLR family pyrin domain containing 3, Caspase-1, N-GSDMD: N terminal protein gasdermin D) and synapse proteins (PSD-95 and synpatin-1) in brains were measured using immunoblotting. Intranasal dantrolene nanoparticles robustly inhibited LPS-induced depression and anxiety behavior. Intranasal dantrolene nanoparticles significantly inhibited LPS-induced pathological elevation of IL-1{beta} and IL-18 in the blood and brain and inhibited LPS induced activation of pyroptosis. Intranasal dantrolene nanoparticles significantly ameliorated decrease of PSD-95 and synpatin-1 proteins in brains. Thus, intranasal dantrolene nanoparticles has demonstrated neuroprotection against inflammation mediated depression and anxiety behaviors and should be studied furthermore as a future effective drug treatment of major depression disorder or anxiety psychiatric disorder.

animal behavior and cognition↗

bioRxiv2024

Development of a humanized anti-FABP4 monoclonal antibody for treatment of breast cancer

BackgroundBreast cancer, lung cancer, and colorectal cancer are the primary contributors to newly diagnosed cases among women, with breast cancer representing the second highest proportion of the total. The treatment protocols vary depends on different stages of breast cancer, and numerous clinical trials are ongoing based on the data derived from laboratory. Our studies demonstrate that circulating adipose fatty acid binding protein (A-FABP, or FABP4) links obesity-induced dysregulated lipid metabolism and breast cancer risk, thus offering a new target for breast cancer treatment. MethodsWe immunized FABP4 knockout mice with recombinant human FABP4 and screened hybridoma clones with specific binding to FABP4. The potential effects of antibodies on breast cancer cells in vitro were evaluated using migration, invasion, and limit dilution assays. Tumor progression in vivo was evaluated in various types of tumorigenesis models including C57BL/6 mice, Balb/c mice, and SCID mice. The phenotype and function of immune cells in tumor microenvironment were characterized with multi-color flow cytometry. Tumor stemness was detected by ALDH assays. To characterize antigen-antibody binding capacity, we determined the dissociation constant of S-V9 against FABP4 via surface plasmon resonance. Further analyses in tumor tissue were performed using 10X Genomics Visium spatial single cell technology. ResultsHerein, we report the generation of humanized monoclonal antibodies blocking FABP4 activity for breast cancer treatment in mouse models. One clone, named 12G2, which significantly reduced circulating levels of FABP4 and inhibited mammary tumor growth, was selected for further characterization. After confirming the therapeutic efficacy of the chimeric 12G2 monoclonal antibody consisting of mouse variable regions and human IgG1 constant regions, 16 humanized 12G2 monoclonal antibody variants were generated by grafting its complementary determining regions to selected human germline sequences. Humanized V9 monoclonal antibody showed consistent results in inhibiting mammary tumor growth and metastasis by affecting tumor cell mitochondrial metabolism. ConclusionsOur current evidence suggest that targeting FABP4 with humanized monoclonal antibodies represents a novel strategy for the treatment of breast cancer and possibly other obesity- associated diseases.

cancer biology↗

bioRxiv2024

Structure-aware protein sequence alignment using contrastive learning

Protein alignment is indispensable for biological discovery, supporting structure comparison, functional annotation, and evolutionary inference. While structure-based methods are highly effective at detecting structural similarity, their applicability is constrained by the limited availability of experimentally resolved protein structures and high computational cost. Sequence-based approaches using pretrained protein language models (pLMs) provide scalable alternatives, yet supervised methods based on differentiable dynamic programming have not consistently outperformed simpler unsupervised strategies. Here, we present CLAlign, a structure-aware protein alignment framework based on contrastive learning. CLAlign fine-tunes a pretrained pLM to generate structure-aware residue-level embeddings enriched with structural context, without relying on differentiable dynamic programming. It represents the first supervised approach to consistently outperform unsupervised pLM-based methods, and it naturally extends to both sequence- and structure-based alignment by flexibly adopting different protein language model encoders. CLAlign achieves state-of-the-art accuracy on the MALIDUP and MALISAM benchmarks, outperforming existing sequence-based methods by large margins while remaining highly efficient. Moreover, its alignment scores show clear biological interpretability: in remote homology detection on SCOPe, CLAlign performs comparably to structure-based methods such as TM-align while far exceeding all sequence-based baselines. Together, these results establish CLAlign as a simple, extensible, and biologically meaningful framework for protein alignment.

bioinformatics↗

bioRxiv2024

Role of Hepatocyte RIPK1 in Maintaining Liver Homeostasis during Metabolic Challenges

As a central hub for metabolism, the liver exhibits strong adaptability to maintain homeostasis in response to food fluctuations throughout evolution. However, the mechanisms governing this resilience remain incompletely understood. In this study, we identified Receptor interacting protein kinase 1 (RIPK1) in hepatocytes as a critical regulator in preserving hepatic homeostasis during metabolic challenges, such as short-term fasting or high-fat dieting. Our results demonstrated that hepatocyte-specific deficiency of RIPK1 sensitized the liver to short-term fasting-induced liver injury and hepatocyte apoptosis in both male and female mice. Despite being a common physiological stressor that typically does not induce liver inflammation, short-term fasting triggered hepatic inflammation and compensatory proliferation in hepatocyte-specific RIPK1-deficient (Ripk1{Delta}hep) mice. Transcriptomic analysis revealed that short-term fasting oriented the hepatic microenvironment into an inflammatory state in Ripk1{Delta}hep mice, with upregulated expression of inflammation and immune cell recruitment-associated genes. Single-cell RNA sequencing further confirmed the altered cellular composition in the liver of Ripk1{Delta}hep mice during fasting, highlighting the increased recruitment of macrophages to the liver. Mechanically, our results indicated that ER stress was involved in fasting-induced liver injury in Ripk1{Delta}hep mice. Overall, our findings revealed the role of RIPK1 in maintaining liver homeostasis during metabolic fluctuations and shed light on the intricate interplay between cell death, inflammation, and metabolism.

immunology↗

bioRxiv2024

Mesenchymal stem cell-derived extracellular vesicles attenuate symptoms in dextran sodium sulfate-induced ulcerative colitis mouse model

Inflammatory bowel disease (IBD) refers to a group of multifactorial and chronic inflammation affecting intestinal tract. Based on the pathogenic mechanisms, IBD mainly comprised of two categories: ulcerative colitis (UC) and Crohns disease (CD). In this study, we established a dextran sulfate sodium (DSS)-induced colitis model to mimic UC. Mesenchymal stem cell-derived extracellular vesicles (MSC-EVs) as therapeutic vectors have shown regenerating effect of damaged tissues. Here, intravenous administration of MSC-EVs ameliorated IBD symptoms including gaining weight, reducing disease activity index and restoring colon length. In addition, the protective effect of MSC-EVs were demonstrated by repairing colon mucosa and reducing the infiltration of macrophages in submucosa. Collectively, MSC-EV shows a therapeutic potential for IBD.

physiology↗

bioRxiv2024

Therapeutic targeting of KRAS mutation-driven tumorigenesis by extracellular vesicles loaded with small interfering RNA

RAS is a well-known oncogene contributing to significant proportion of cancer incidences, yet it remains as an undruggable target to majority of therapeutic modalities. Here, we explored the potential of extracellular vesicles (EVs) for therapeutic targeting of KRAS mutation-driven tumorigenesis. EVs loaded with small interfering RNA (siRNA) against KRAS successfully inhibited tumor xenograft growth when injected intratumorally in mice models. Intriguingly, when injected intravenously, EVs were still able to accumulate in tumors and deliver KRAS targeting siRNA payload in sufficient amount to show tumor growth inhibition. Therefore, EV-siRNA platform show great promises for therapeutic targeting of KRAS mutations and other undruggable targets.

cancer biology↗

bioRxiv2024

HortGenome Search Engine, a universal genomic search engine for horticultural crops

Horticultural crops comprising fruit, vegetable, ornamental, beverage, medicinal and aromatic plants play essential roles in food security and human health, as well as landscaping. With the advances of sequencing technologies, genomes for hundreds of horticultural crops have been deciphered in recent years, providing a basis for understanding gene functions and regulatory networks and for the improvement of horticultural crops. However, these valuable genomic data are scattered in warehouses with various complex searching and displaying strategies, which increases learning and usage costs and makes comparative and functional genomic analyses across different horticultural crops very challenging. To this end, we have developed a lightweight universal search engine, HortGenome Search Engine (HSE; http://hort.moilab.net), which allows querying genes, functional annotations, protein domains, homologs, and other gene-related functional information of more than 400 horticultural crops. In addition, four commonly used tools, including BLAST, Batch Query, Enrichment analysis, and Synteny Viewer, have been developed for efficient mining and analysis of these genomic data.

bioinformatics↗

bioRxiv2023

Harnessing extracellular vesicles for efficient siRNA delivery in vitro and in vivo

To fulfill the potential of small interference RNA (siRNA) therapeutics, diverse and efficient delivery platforms for siRNA are urgently needed. Extracellular vesicles (EVs) are endogenous, cell secreted nano-vehicles which have been explored for functional siRNA delivery, yet impurities in EVs preparation and lack of efficient siRNA loading method have been limiting its further development into clinical applications. In this work, we have achieved high quality EVs production and an siRNA loading system via EVs. The prepared EV-siRNA system was able to deliver siRNA cargo to model cell lines to silence the expression of targeted genes with high potency. Furthermore, EV-siRNA administration in a tumor xenograft model significantly inhibited tumor growth. Therefore, this study establishes an innovative and efficient EV-siRNA platform for siRNA delivery in vitro and in vivo.

cancer biology↗

bioRxiv2023

Signal Improved ultra-Fast Light-sheet Microscope (SIFT) for large tissue imaging

Light-sheet fluorescence microscopy (LSFM) in conjunction with tissue clearing techniques enables morphological investigation of large tissues faster and with excellent optical sectioning. Recently, cleared tissue axially swept light-sheet microscope (ctASLM) demonstrated three-dimensional isotropic resolution in millimeter-scaled tissues. But ASLM based microscopes suffer from low detection signal and slow imaging speed. Here we report a simple and efficient imaging platform that employs precise control of two fixed distant light-sheet foci to carry out ASLM. This allowed us to carry out full field of view (FOV) imaging at 40 frames per second (fps) which is a four-fold improvement compared to the current state-of-the-art. In addition, in a particular frame rate, our method doubles the signal compared to the current ASLM technique. To augment the overall imaging performance, we also developed a deep learning based tissue information classifier that enables faster determination of tissue boundary. We demonstrated the performance of our imaging platform on various cleared tissue samples and demonstrated its robustness over a wide range of clearing protocols.

biophysics↗

bioRxiv2023

Living cell mTORC1 inhibition reporter mTIR reveals nutrient-sensing targets of histone deacetylase inhibitor

Mammalian or mechanistic target of rapamycin complex 1 (mTORC1) is a clinically effective therapeutic target for diseases such as cancer, diabetes, aging, and neurodegeneration, yet an efficient tool to monitor mTORC1 inhibition in living cells or tissues is still lacking. Here we devised a genetically encoded mTORC1 inhibition reporter termed mTIR that exhibits a highly contrasted fluorescence puncta pattern in response to mTORC1 inhibition. mTIR specifically senses physiological, pharmacological and genetic inhibition of mTORC1 signaling in living cells and tissues. Importantly, mTIR can be applied as an powerful tool for imaging-based visual screening of mTORC1 inhibitors. By this method, we identified histone deacetylase inhibitors (HDACi) that selectively inhibit mTORC1 by inducing nutrient-sensing gene expression. Thus, mTIR is a unique living cell reporter efficiently detecting the inhibition of mTORC1 activity, and the HDACi Panobinostat transcriptionally target mTORC1 signaling via amino acids sensing.

cell biology↗

bioRxiv2022

Onlinemeta: A Web Serve For Meta-Analysis Based On R-shiny

Meta-analysis is a common statistical method used to summarize multiple studies that cover the same topic. It can provide less biased results and explain heterogeneity between studies. Although there exists a variety of meta-analysis softwares, they are rarely both convenient to use and capable of comprehensive analytical functions. As a result, we are motivated to establish a meta-analysis web tool called Meta-Analysis Online (Onlinemeta). Onlinemeta includes three major modules: risk bias analysis, meta-analysis and network meta-analysis. The risk bias analysis module can produce heatmaps and histograms, whereas the meta-analysis module accepts many types of data as input, including dichotomous variables, single-armed dichotomous variables, continuous variables, single-armed continuous variables, survival data, deft method and diagnostic experiments, and outputs well-tuned forest plots, sensitivity analysis forest plots, funnel plots, comparison table of effects, SROC curve, and crosshair plots. For network meta-analysis module, the tool can process dichotomous variables or continuous variables, and generate network plots, forest plots, SUCRA (Surface Under the Cumulative Ranking) plots, rank plots and heatmaps. Onlinemeta is available at https://smuonco.Shinyapps.io/Onlinemeta/.

bioinformatics↗

bioRxiv2022

Epigenetic Landscape of HIV Infection in Primary Human Macrophage

HIV-infected macrophages are long-lived cells that sustain persistent virus expression, which is both a barrier to viral eradication and contributor to neurological complications in patients despite antiretroviral therapy (ART). To better understand the regulation of HIV in macrophages, we compared HIV infected primary human monocyte derived macrophages (MDM) to acutely infected primary CD4 T cells and Jurkat cells latently infected with HIV (JLAT 8.4). HIV genomes in MDM were actively transcribed despite enrichment with heterochromatin-associated H3K9me3 across the complete HIV genome in combination with elevated activation marks of H3K9ac and H3K27ac at the LTR. Macrophage patterns contrasted with JLAT cells, which showed conventional bivalent H3K4me3/H3K27me3, and acutely infected CD4 T cells, which showed an intermediate epigenotype. 5 -methylcytosine (5mC) was enriched across the HIV genome in latently infected JLAT cells, while 5 -hydroxymethylcytosine (5hmc) was enriched in CD4 and MDM. HIV infection induced multinucleation of MDMs along with DNA damage associate p53 phosphorylation, as well as loss of TET2 and the nuclear redistribution of 5-hydoxymethylation. Taken together, our findings suggest that HIV induces a unique macrophage nuclear and transcriptional profile, and viral genomes are maintained in a non-canonical bivalent epigenetic state. ImportanceMacrophages serve as a reservoir for long-term persistence and chronic production of HIV. We found an atypical epigenetic control of HIV in macrophages marked by heterochromatic H3K9me3 despite active viral transcription. HIV infection induced changes in macrophage nuclear morphology and epigenetic regulatory factors. These findings may identify new mechanisms to control chronic HIV expression in infected macrophage.

microbiology↗

bioRxiv2021

The influence factors of mean particle size and positive quality control of bacterial filtration efficiency system

BackgroundThe Coronavirus Disease 2019 (COVID-19) has swept the whole world with high mortality. Since aerosol transmission is the main route of transmission, wearing a mask serves as a crucial preventive measure. An important parameter to evaluate the performance of a mask is the bacteria filtration efficiency (BFE). Aerosol mean particle size (MPS) and positive quality control value are two key indexes of BFE system. AimTo study the major influence factors of the mean particle size of bacterial aerosols and positive quality control value of BFE system. Method and ResultsIn this study, we investigated the influence of Anderson sampler, spray flow, medium thickness, and peristaltic pump flow on the MPS of bacterial aerosols and positive quality control value of BFE system, respectively. The results show that the machining accuracy of Anderson sampler has great influence on aerosol MPS and positive quality control value. With the increase of aerosol spray flow rate, the positive quality control value will increase gradually, but the effect on aerosol MPS is not a simple linear relationship. As the agar medium thickness increased, the positive quality control value and aerosol MPS increased gradually. With the increase of peristaltic pump flow, the positive quality control value increased gradually, while the aerosol MPS was basically in a downward trend. When the peristatic pump flow rate was 0.1mL/min, the spray flow rate was 7.2L/min, the agar plate thickness was 27mL, and the Anderson sampler of Beijing Mingjie was used for the experiment, the aerosol MPS and positive quality control value were both within the acceptable range and were the optimal parameters. ConclusionsThis study provides guidance for the manufacturers of the BFE system and improves the protective performance of masks, which is important for the human health, especially during the occurrence of viral pandemics such as "COVID-19". O_FIG_DISPLAY_L [Figure 1] M_FIG_DISPLAY C_FIG_DISPLAY

immunology↗

bioRxiv2021

Gene Expression Associated with Individual Variability in Intrinsic Functional Connectivity

It has been revealed that intersubject variability (ISV) in intrinsic functional connectivity (FC) is associated with a wide variety of cognitive and behavioral performances. However, the underlying organizational principle of ISV in FC and its related gene transcriptional profiles remain unclear. Using resting-state fMRI data from the Human Connectome Project (299 participants) and microarray gene expression data from the Allen Human Brain Atlas, we conducted a transcription-neuroimaging association study to investigate the spatial configurations of ISV in intrinsic FC and their associations with gene transcriptional profiles. We found that the multimodal association cortices showed the greatest ISV in FC, while the unimodal cortices and subcortical areas showed the least ISV. Importantly, partial least squares regression analysis revealed that the transcriptional profiles of genes associated with human accelerated regions (HARs) could explain 31.29% of the variation in the spatial distribution of ISV in FC. The top-related genes in the transcriptional profiles were enriched for the development of the central nervous system, neurogenesis and the cellular components of synapse. Moreover, we observed that the effect of gene expression profile on the heterogeneous distribution of ISV in FC was significantly mediated by the cerebral blood flow configuration. These findings highlighted the spatial arrangement of ISV in FC and their coupling with variations in transcriptional profiles and cerebral blood flow supply.

neuroscience↗

bioRxiv2021

Transcriptome analysis reveals regulatory networks and hub genes in flavonoid metabolism of Rosa roxburghii

Rosa roxburghii Tratt, the most popular fruit that blooms in the southwest of China, is rich in flavonoids. However, the regulatory network and critical genes involved in the metabolism of flavonoid compounds in R. roxburghii are still unknown. In this study, we revealed that flavonoid, anthocyanin and catechin accumulated at different levels in various tissues of R. roxburghii. We further obtained and analyzed differentially expressed genes (DEGs) involved in flavonoid metabolism from five samples of R. roxburghii by transcriptome sequencing. A total of 1 130 DEGs were identified, including 166 flavonoid pathway biosynthesis genes, 622 transcription factors, 301 transporters, and 221 cytochrome P450 proteins. A weighted gene co-expression network analysis (WGCNA) of the DEGs uncovered different co-expression networks. In terms of biosynthesis enzymes, cytochrome P450 CYP749A22 and CYP72A219 were highlighted in regulation flavonoids content. Anthocyanin 3-O-glucosyltransferase and F3H were the top two critical enzymes for anthocyanin content. In contrast, caffeic acid 3-O-methyltransferase, 4-coumarate-CoA ligase, and shikimate O-hydroxycinnamoyl transferase were essential for catechin accumulation. Additionally, the eigengene network of the "black" module had high correlations with total flavonoid (r= 0.9, p=5e-06). There were 26 eigengenes in the "black" module, including six flavonoid biosynthesis, 14 TFs and six transporters. Among them, besides cytochrome P450 proteins (DN136557_c0_g1, DN135573_c0_g1 and DN145971_c4_g1), isoflavone-hydroxylase (DN143321_c3_g1) was crucial for total flavonoids content based on the high degree of connectivity. The transcription factors RrWRKY45 (DN142829_c1_g5), RrTCP20 (DN146443_c1_g1) and RrERF118 (DN141507_c3_g2) were significantly correlated with flavonoids in R. roxburghii. The present transcriptomic and biochemical data on metabolites should encourage further investigation on functional genomics and breeding of R. roxburghii with strong pharmaceutical potential.

plant biology↗

bioRxiv2021

Hydroxyl-radical scavenging activity of hydrogen does not significantly contribute to its biological function

Since Ohsawa et al. reported a biological antioxidant function of hydrogen in 2007, researchers have now shown it to exert protective effects in a wide range of human and animal disease models. Clinical observations and scientific arguments suggest that a selective scavenging property of H2 cannot adequately explain the beneficial effects of hydrogen. However, there is no experiment challenging the original published data, which suggested that molecular hydrogen dissolved in solution reacts with hydroxyl radicals in cell-free systems. Here we report that a hydrogen-saturated solution (0.6 mM) did not significantly reduce hydroxyl radicals in the Fenton system using 1 mM H2O2. We replicated the same condition as Ohsawas study (i.e. 5 {micro}M H2O2), and observed a decrease in *OH radicals in both the H2-rich and N2-rich solutions, which may be caused by a decreased dissolved oxygen concentration. Finally, we determined the effect of hydrogen on a high-valence iron enzyme, horseradish peroxidase (HRP), and found that hydrogen could directly increase HRP activity in a dose-dependent manner. Overall, these results indicate that although H2 and *OH can react, the reaction rate is too low to have physiological function. The target of hydrogen is more complex, and its interaction with enzymes or other macro-molecules deserve more attention and in-depth study.

biochemistry↗

bioRxiv2021

Self-assembling SARS-CoV-2 nanoparticle vaccines targeting the S protein induces protective immunity in mice

The spike (S), a homotrimer glycoprotein, is the most important antigen target in the research and development of SARS-CoV-2 vaccine. There is no doubt that fully simulating the advanced structure of this homotrimer in the subunit vaccine development strategy is the most likely way to improve the immune protective effect of the vaccine. In this study, the preparation strategies of S protein receptor-binding domain (RBD) trimer, S1 region trimer, and ectodomain (ECD) trimer nanoparticles were designed based on ferritin nanoparticle self-assembly technology. The Bombyx mori baculovirus expression system was used to prepare these three nanoparticle vaccines with high expression levels in the silkworm. The immune results of mice show that the nanoparticle vaccine prepared by this strategy can not only induce an immune response by subcutaneous administration but also effective by oral administration. Given the stability of these ferritin-based nanoparticles vaccine, easy-to-use and low-cost oral immunization strategy can make up for the vaccination blind areas caused by the shortage of ultralow-temperature equipment and medical resources in underdeveloped areas. And the oral vaccine is also a very potential candidate to cut off the spread of SARS-CoV-2 in domestic and farmed animals, especially in stray and wild animals.

immunology↗

bioRxiv2020

Evaluation of exosome-encapsulated miR-23a/b in the diagnosis of human coronary heart diseases

ObjectiveCoronary heart disease (CHD) is currently one of the major causes of death with high morbidity. Due to the increasing heterogeneity and complexity in the CHDs progression, biomarkers for specific diagnosis and monitoring of disease progression need to be developed. The study was aimed to investigate the roles of serum exosomal miR-23a and miR-23b in diagnosis of CHDs. Methods16 healthy individuals and 56 patients with CHDs were enrolled in this study, including the CHDs of stable angina, unstable angina, non-ST elevation myocardial infarction (NSTEMI), ST elevation myocardial infarction (STEMI) and acute myocardial infarction (AMI). Serum exosomal miR-23a and miR-23b were quantified by Q-PCR. The associations of miR-23a/b with multiple clinical parameters were analyzed. ResultsSerum exosomal miR-23a was downregulated in the 56 CHD patients. In the specific prediction of stable angina and AMI, miR-23a achieved the area under the receiver operating characteristic (AUC-ROC) of 0.809 and 0.783, respectively. The levels of serum creatinine (CREA) and miR-23a were associated, which was consistent with risk of kidney injury in CHDs patients. Exosomal miR-23b levels showed no difference among CHD groups. ConclusionsmiR-23a may serve as a non-invasive marker in predicting stable angina and AMI. The level of miR-23a was implicated in CREA-dependent CHD-renal damage.

pathology↗