Biology subjects

He, Z.

Publications and source records attributed to He, Z..

At least 145 records · Page 8Linked to original sources

bioRxiv2024

Biologically Driven In Vivo Occlusion Design Provides a Reliable Experimental Glaucoma Model

Fluid transport through the trabecular meshwork is a major regulator of intraocular pressure in healthy and glaucomatous eyes. Existing microbead occlusion models enable in vivo study of pressure-related glaucomatous pathology, but their long-term reliability is limited by inadequate bead-tissue interface design. Inspired by the graded porous architecture and fluid-transport function of the trabecular meshwork, we develop an injectable Viscobeads platform for sustained modulation of aqueous humor outflow. These composite microbeads integrate a non-degradable polystyrene core for structural support with a biodegradable poly(lactic-co-glycolic acid) viscoelastic shell that improves mechanical adaptation to heterogeneous trabecular meshwork fenestrations. This biologically informed design enhances outflow obstruction and enables stable IOP elevation for at least 8 weeks after a single injection. In mice, Viscobeads induce sustained ocular hypertension (average 21.4 mm Hg) and lead to a 34% loss of retinal ganglion cells by day 56. Pattern electroretinogram and flash visual evoked potential measurements further reveal early retinal ganglion cell dysfunction followed by later visual pathway impairment. Beyond disease induction, this platform supports in vivo gene screening for retinal ganglion cell survival and identifies altered sleep behavior during glaucoma progression. This work establishes a materials-driven strategy for chronic ocular hypertension modeling and therapeutic evaluation.

biophysics↗

bioRxiv2024

Brain transcriptomics reveals features of the host response after dengue virus type I infection induced central nervous system injury in AGB6 mice

Dengue viruses are the causative agents of dengue fever, dengue hemorrhagic fever, and dengue shock syndrome, which are mainly transmitted by Aedes aegypti and Aedes albopictus mosquitoes, and cost billions of dollars annually in medical and mosquito control. It is estimated that up to 20% of dengue virus infections affect the brain. The incidence of DENV infection of the nervous system is increasing, suggesting that more people are at risk for neurological complications of the infection. Currently, understanding the pathogenic mechanisms of dengue virus infection of the nervous system is hampered by the lack of suitable small animal models. Here, we analyzed the pathogenicity of dengue virus in type I and type interferon receptor-deficient mice by intraperitoneal inoculation of DENV-I. Infected mice showed such neurological symptoms as opisthotonus, hunching, ataxia, and paralysis of one or both hind limbs. Viremia can be detected 3 days after infection. The virus showed evident brain tropism post-inoculation and viral loads peaked at 14 days post-inoculation in infected mice brain. Significant histopathologic changes were observed in brain tissue (hippocampal region and cerebral cortex). Immunohistochemistry and fluorescence showed clear fluorescent signals. Hematological analysis showed hemorrhage and hemoconcentration in DENV-I infected mice. Subsequently, brain tissue transcriptome sequencing was performed to assess host response characteristics in DENV-I infected AGB6 mice. Functional enrichment analysis and analysis of significantly differentially expressed genes (DEGs) were used to identify the key molecular mechanisms of brain tissue injury. Transcriptional patterns in brain tissue suggest that aberrant expression of pro-inflammatory cytokines induces antiviral responses to dengue virus and tissue damage. Combined with the KEGG results, it was hypothesized that the probable cause of the neurological damage affecting the neurological system and hindlimb paralysis was the marked enrichment of upregulated DEGs in the cytokine-cytokine receptor interaction signaling pathway. Screening of hub genes and their characterization by qPCR and ELISA, it was hypothesized that IL-6 and IFN-{gamma} might be the key factors in dengue virus-induced neurological manifestations.

immunology↗

bioRxiv2024

Predicting Alu exonization in the human genome with a deep learning model

Alu exonization, or the recruitment of intronic Alu elements into gene sequences, has contributed to functional diversification; however, its extent and the ways in which it influences gene regulation are not fully understood. We developed an unbiased approach to predict Alu exonization events from genomic sequences implemented in a deep learning model, eXAlu, that overcomes the limitations of tissue or condition specificity and the computational burden of RNA-seq analysis. The model captures previously reported characteristics of exonized Alu sequences and can predict sequence elements important for Alu exonization. Using eXAlu, we estimate the number of Alu elements in the human genome undergoing exonization to be between 55-110K, 11-21 fold more than represented in the GENCODE gene database. Using RT-PCR we were able to validate selected predicted Alu exonization events, supporting the accuracy of our method. Lastly, we highlight a potential application of our method to identify polymorphic Alu insertion exonizations in individuals and in the population from whole genome sequencing data.

bioinformatics↗

bioRxiv2023

MERITS: a web-based integrated MycobacterialPE/PPE protein database

MotivationPE/PPE proteins, highly abundant in the Mycobacterium genome, play a vital role in virulence and immune modulation. Understanding their functions is key to comprehending the internal mechanisms of Mycobacterium. However, a lack of dedicated resources has limited research into PE/PPE proteins. ResultsAddressing this gap, we introduce MERITS, a comprehensive 3D structure database specifically designed for PE/PPE proteins. MERITS hosts 22,353 non-redundant PE/PPE proteins, encompassing details like physicochemical properties, subcellular localisation, post-translational modification sites, protein functions, and measures of antigenicity, toxicity, and allergenicity. MERITS also includes data on their secondary and tertiary structure, along with other relevant biological information. MERITS is designed to be user-friendly, offering interactive search and data browsing Features to aid researchers in exploring the potential functions of PE/PPE proteins. MERITS is expected to become a crucial resource in the field, aiding in developing new diagnostics and vaccines by elucidating the sequence-structure-functional relationships of PE/PPE proteins. Availability and implementationMERITS is freely accessible at http://merits.unimelb-biotools.cloud.edu.au/.

bioinformatics↗

bioRxiv2023

The P2 protein of wheat yellow mosaic virus acts as a VSR to facilitate virus infection in wheat plants

Wheat yellow mosaic virus (WYMV) causes severe viral wheat disease in Asia. The WYMV P1 protein encoded by RNA2 has viral suppressor of RNA silencing (VSR) activity to facilitate virus infection; however, VSR activity has not been identified for P2 protein encoded by RNA2. In this study, P2 protein exhibited strong VSR activity in Nicotiana benthamiana at the four-leaf stage, and point mutants P70A and G230A lost VSR activity. Protein P2 interacted with calmodulin (CaM) protein, a gene-silencing associated protein, while point mutants P70A and G230A did not interact with it. Competitive bimolecular fluorescence complementation and competitive co-immunoprecipitation experiments showed that P2 interfered with the interaction between CaM and calmodulin-binding transcription activator 3 (CAMTA3), but the point mutants P70A and G230A could not. Mechanical inoculation of wheat with in vitro transcripts of WYMV infectious cDNA clone further confirmed that VSR-deficient mutants P70A and G230A decreased WYMV infection in wheat plants compared with the wild type. In addition, RNA silencing, temperature, and autophagy had significant effects on accumulation of P2 protein in N. benthamiana leaves. In conclusion, WYMV P2 plays a VSR role in wheat and promotes virus infection by interfering with calmodulin-related antiviral RNAi defense. One-sentence summaryWYMV P2 protein exerts VSR activity by interfering with the CaM-CAMTA3 interaction to facilitate virus efficient systemic infection in wheat plants.

plant biology↗

bioRxiv2023

An integrated transcriptomic cell atlas of human endoderm-derived organoids

Human stem cells can generate complex, multicellular epithelial tissues of endodermal origin in vitro that recapitulate aspects of developing and adult human physiology. These tissues, also called organoids, can be derived from pluripotent stem cells or tissue-resident fetal and adult stem cells. However, it has remained difficult to understand the precision and accuracy of organoid cell states through comparison with primary counterparts, and to comprehensively assess the similarity and differences between organoid protocols. Advances in computational single-cell biology now allow the integration of datasets with high technical variability. Here, we integrate single-cell transcriptomes from 218 samples covering organoids of diverse endoderm-derived tissues including lung, pancreas, intestine, liver, biliary system, stomach, and prostate to establish an initial version of a human endoderm organoid cell atlas (HEOCA). The integration includes nearly one million cells across diverse conditions, data sources and protocols. We align and compare cell types and states between organoid models, and harmonize cell type annotations by mapping the atlas to primary tissue counterparts. To demonstrate utility of the atlas, we focus on intestine and lung, and clarify ontogenic cell states that can be modeled in vitro. We further provide examples of mapping novel data from new organoid protocols to expand the atlas, and showcase how integrating organoid models of disease into the HEOCA identifies altered cell proportions and states between healthy and disease conditions. The atlas makes diverse datasets centrally available, and will be valuable to assess organoid fidelity, characterize perturbed and diseased states, and streamline protocol development.

cell biology↗

bioRxiv2023

Reprogramming of 3D chromatin domains by antagonizing the β-catenin/CBP interaction attenuates insulin signaling in pancreatic cancer

The therapeutic potential of targeting the {beta}-catenin/CBP interaction has been demonstrated in a variety of preclinical tumor models with a small molecule inhibitor, ICG-001, characterized as a {beta}-catenin/CBP antagonist. Despite the high binding specificity of ICG-001 for the N-terminus of CBP, this {beta}-catenin/CBP antagonist exhibits pleiotropic effects. Our recent studies found global changes in three-dimensional (3D) chromatin architecture in response to disruption of the {beta}-catenin/CBP interaction in pancreatic cancer cells. However, an understanding of the functional crosstalk between antagonizing the {beta}-catenin/CBP interaction effect changes in 3D chromatin architecture and thereby gene expression and downstream effects remains to be elucidated. Here we perform Hi-C analyses on canonical and patient-derived pancreatic cancer cells before and after the treatment with ICG-001. In addition to global alteration of 3D chromatin domains, we unexpectedly identify insulin signaling genes enriched in the altered chromatin domains. We further demonstrate the chromatin loops associated with insulin signaling genes are significantly weakened after ICG-001 treatment. We finally elicit the deletion of a looping of IRS1, a key insulin signaling gene, significantly impede pancreatic cancer cell growth, indicating that looping-mediated insulin signaling might act as an oncogenic pathway to promote pancreatic cancer progression. Our work shows that targeting aberrant insulin chromatin looping in pancreatic cancer might provide a therapeutic benefit.

cancer biology↗

bioRxiv2023

One infusion of engineered long-lasting and multifunctional T cells cures asthma in mice

The majority of common chronic human diseases are incurable, which affect a large portion of population and require life-long treatments that impose huge disease, economic and social burden. For example, asthma is the most common respiratory disease affecting over 300 million people and accounts for > 250,000 death annually, for which there is no cure. Unlike traditional therapyies, engineered T cells, such as chimeric antigen receptor CAR T (CAR-T) cells, function as living drugs and can cure some hematological malignancies, but whether engineered T cells can cure common diseases beyond cancer remains elusive. Here, we develop a curative therapy for asthma based on enginerred T cell. With IL-5 as the targeting domain and depletion of BCOR and ZC3H12A, we produce long-lasting CAR-T cells eradicating IL-5R+ eosinophils, termed Immortal-like and Functional IL-5 CAR-T cells (5TIF) cells. We further enginerred 5TIF cells to secrete an IL-4 mutein that blocks the singaling of both IL-4 and IL-13, two driver inflammatory cytokines in asthma, named as 5TIF4 cells. In multiple models of asthma, one infusion of 5TIF4 cells in fully immunocompetent mice, in the absence of any conditioning regimen, confers long-term depletion of pathological eosinophils and blockade of IL-4/IL-13 actions, resulting in sustained repression of type 2 inflammation and asthmatic symptoms. Furthurmore, 5TIF4 cells can also be induced in human T cells in NSG mice. Our data demonstrate that asthma, a common noncancerous disease, can be cured by a single infusion of engineered long-lasting and multifunctional T cells, which paves the way for curing common chronic diseases by engineered long-lived T cells.

immunology↗

bioRxiv2023

MetalPrognosis: a Biological Language Model-based Approach for Disease-Associated Mutations in Metal-Binding Site prediction

Protein-metal ion interactions play a central role in the onset of numerous diseases. When amino acid changes lead to missense mutations in metal-binding sites, the disrupted interaction with metal ions can compromise protein function, potentially causing severe human ailments. Identifying these disease-associated mutation sites within metal-binding regions is paramount for understanding protein function and fostering innovative drug development. While some computational methods aim to tackle this challenge, they often fall short in accuracy, commonly due to manual feature extraction and the absence of structural data. We introduce MetalPrognosis, an innovative, alignment-free solution that predicts disease-associated mutations within metal-binding sites of metalloproteins with heightened precision. Rather than relying on manual feature extraction, MetalPrognosis employs sliding window sequences as input, extracting deep semantic insights from pre-trained protein language models. These insights are then incorporated into a convolutional neural network, facilitating the derivation of intricate features. Comparative evaluations show MetalPrognosis outperforms leading methodologies like MCCNN and PolyPhen-2 across various metalloprotein test sets. Furthermore, an ablation study reiterates the effectiveness of our model architecture. To facilitate public use, we have made the datasets, source codes, and trained models for MetalPrognosis online available at http://metalprognosis.unimelb-biotools.cloud.edu.au/.

bioinformatics↗

bioRxiv2023

cisDynet: an integrated platform for modeling gene-regulatory dynamics and networks

Chromatin accessibility sequencing has been widely used for uncovering genetic regulatory mechanisms and inferring gene regulatory networks. However, effectively integrating large-scale chromatin accessibility datasets has posed a significant challenge. This is due to the lack of a comprehensive end-to-end solution, as many existing tools primarily emphasize data pre-processing and overlook downstream analyses. To bridge this gap, we have introduced cisDynet, a holistic solution that combines streamlined data pre-processing using Snakemake and R functions with advanced downstream analysis capabilities. cisDynet excels in conventional data analyses, encompassing peak statistics, peak annotation, differential analysis, motif enrichment analysis and more. Additionally, it allows to perform sophisticated data exploration such as tissue-specific peak identification, time-course data fitting, integration of RNA-seq data to establish peak-to-gene associations, constructing regulatory networks, and conducting enrichment analysis of GWAS variants. As a proof of concept, we applied cisDynet to re-analyze the comprehensive ATAC-seq datasets across various tissues from the ENCODE project. The analysis successfully delineated tissue-specific open chromatin regions (OCRs), established connections between OCRs and target genes, and effectively linked these discoveries with 1,861 GWAS variants. Furthermore, cisDynet was instrumental in dissecting the time-course open chromatin data of mouse embryonic development, revealing the dynamic behavior of OCRs over time and identifying key transcription factors governing differentiation trajectories. In summary, cisDynet offers researchers a user-friendly solution that minimizes the need for extensive coding, ensures the reproducibility of results, and greatly simplifies the exploration of epigenomic data. Graphical AbstractcisDynet enables the exploration of the cis-regulatory chromatin dynamics and networks. It offers a streamlined preprocessing pipeline built on Snakemake, along with an R package for advanced downstream data analysis and visualization. It is free to access on GitHub (https://github.com/tzhu-bio/cisDynet). HighlightsO_LIThe cisDynet enables comprehensive and efficient processing of chromatin accessibility data, including pre-processing, advanced downstream data analysis and visualization. C_LIO_LIcisDynet provides a range of analytical features such as processing of time course data, co-accessibility analysis, linking OCRs to genes, building regulatory networks, and GWAS variant enrichment analysis. C_LIO_LIcisDynet simplifies the identification of tissue/cell type-specific OCRs or dynamic OCR changes over time and facilitates the integration of RNA-seq data to depict temporal trajectories. C_LI

bioinformatics↗

bioRxiv2023

An integrated transcriptomic cell atlas of human neural organoids

Neural tissues generated from human pluripotent stem cells in vitro (known as neural organoids) are becoming useful tools to study human brain development, evolution and disease. The characterization of neural organoids using single-cell genomic methods has revealed a large diversity of neural cell types with molecular signatures similar to those observed in primary human brain tissue. However, it is unclear which domains of the human nervous system are covered by existing protocols. It is also difficult to quantitatively assess variation between protocols and the specific cell states in organoids as compared to primary counterparts. Single-cell transcriptome data from primary tissue and neural organoids derived with guided or un-guided approaches and under diverse conditions combined with large-scale integrative analyses make it now possible to address these challenges. Recent advances in computational methodology enable the generation of integrated atlases across many data sets. Here, we integrated 36 single-cell transcriptomics data sets spanning 26 protocols into one integrated human neural organoid cell atlas (HNOCA) totaling over 1.7 million cells. We harmonize cell type annotations by incorporating reference data sets from the developing human brain. By mapping to the developing human brain reference, we reveal which primary cell states have been generated in vitro, and which are under-represented. We further compare transcriptomic profiles of neuronal populations in organoids to their counterparts in the developing human brain. To support rapid organoid phenotyping and quantitative assessment of new protocols, we provide a programmatic interface to browse the atlas and query new data sets, and showcase the power of the atlas to annotate new query data sets and evaluate new organoid protocols. Taken together, the HNOCA will be useful to assess the fidelity of organoids, characterize perturbed and diseased states and facilitate protocol development in the future.

developmental biology↗

bioRxiv2023

Molecular pathways and cellular subsets associated with adverse clinical outcomes in overlapping immune-related myocarditis and myositis

Immune checkpoint therapies (ICTs) can induce life-threatening immune-related adverse events, including myocarditis and myositis, which are rare but often concurrent. The molecular pathways and immune subsets underlying these toxicities remain poorly understood. To address this need, we obtained heart and skeletal muscle biopsies for single-cell RNA sequencing in living patients with cancers treated with ICTs admitted to the hospital with myocarditis and /or myositis (overlapping myocarditis plus myositis, n=10; myocarditis-only, n=1) compared to ICT-exposed patients ruled out for toxicity utilized as controls (n=9) within 96 hours of clinical presentation. Analyses of 58,523 cells revealed clonally expanded CD8+ T cells with a cytotoxic phenotype expressing activation/exhaustion markers in both myocarditis and myositis. Furthermore, the analyses identified a population of tissue-resident myeloid cells expressed Fc{gamma}RIIIa, which is known to bind IgG and regulate complement activation. Immunohistochemistry of affected cardiac and skeletal muscle tissues revealed protein expression of pan-IgG and complement product C4d that were associated with the presence of high-titer serum autoantibodies against muscle antigens in a subset of patients. We further identified a population of inflammatory IL-1B+TNF+ myeloid cells specifically enriched in myocarditis and associated with greater toxicity severity and poorer clinical outcomes. These results are the first to recognize these myeloid subsets in human immune-related myocarditis and myositis tissues and nominate new targets for investigation into rational treatments to overcome these high-mortality toxicities. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=168 SRC="FIGDIR/small/556590v1_ufig1.gif" ALT="Figure 1"> View larger version (30K): org.highwire.dtl.DTLVardef@b5895forg.highwire.dtl.DTLVardef@4dec8corg.highwire.dtl.DTLVardef@1e50cb9org.highwire.dtl.DTLVardef@a653fd_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

bioRxiv2023

Different populations of midbrain neurons control the production of distinct acoustic categories of vocalization

Animals produce different acoustic types of vocalizations in different behavioral contexts. The midbrain periaqueductal gray (PAG) is obligatory for vocal production (Jurgens, 1994, 2002, 2009), but how midbrain circuits are organized to control the production of different vocalization types remains unknown. To test whether a single population of midbrain neurons regulates the production of different vocalization types, we applied intersectional methods to selectively ablate a population of midbrain neurons required for the production of ultrasonic vocalizations (USVs) in mice. We find that although ablation of these PAG-USV neurons blocks USV production in both males and females, these neurons are not required for the production of squeaks. Our findings provide strong evidence that distinct populations of midbrain neurons control the production of different acoustic categories of vocalizations.

neuroscience↗

bioRxiv2023

High-efficiency gene editing in Anopheles sinensis using ReMOT control

CRISPR/Cas9-mediated gene editing provides an effective method for deciphering the molecular mechanisms underlying mosquito development and mosquito-borne disease transmission, as well as for exploring genetic control strategies. However, delivering the Cas9 ribonucleoprotein complex by embryo injection to produce genetic modifications is challenging, is mostly confined to model mosquitoes and specialized laboratories, and has low editing efficiency. Here, we established an effective Receptor-Mediated Ovary Transduction of Cargo (ReMOT) control method, enabling the introduction of heritable mutations into Anopheles sinensis, the major malaria vector in China and Southeast Asia, via the injection of female adult mosquitoes. Injection of a mixture of P2C-DsRed and saponin resulted in red fluorescence in the ovaries, with a 100% success rate. Using this system, we knocked-out the pigment synthesis genes, Aswhite and Asyellow, using injected wild-type (WT) females mated with WT males, resulting in the highest efficiency of gene editing among mosquitoes under the same mating conditions. Furthermore, the gene-editing efficiency was increased by at least 2.1-fold using injected WT females mated with mutant males. This improved ReMOT control method exhibits high editing efficiency, with important benefits in terms of functional genomics research and genetic control strategies in An. sinensis. Moreover, this represents a convenient method for gene manipulation in laboratories that are unable to perform embryo injection or that lack embryo-injection equipment.

genetics↗

bioRxiv2023

Morphodynamics of human early brain organoid development

Brain organoids enable the mechanistic study of human brain development, and provide opportunities to explore self-organization in unconstrained developmental systems. Here, we establish long-term, live light sheet microscopy on unguided brain organoids generated from fluorescently labeled human induced pluripotent stem cells, which enables tracking of tissue morphology, cell behaviors, and subcellular features over weeks of organoid development. We provide a novel dual-channel, multi-mosaic and multi-protein labeling strategy combined with a computational demultiplexing approach to enable simultaneous quantification of distinct subcellular features during organoid development. We track Actin, Tubulin, plasma membrane, nucleus, and nuclear envelope dynamics, and quantify cell morphometric and alignment changes during tissue state transitions including neuroepithelial induction, maturation, lumenization, and brain regionalization. Based on imaging and single-cell transcriptome modalities, we find that lumenal expansion and cell morphotype composition within the developing neuroepithelium are associated with modulation of gene expression programs involving extracellular matrix (ECM) pathway regulators and mechanosensing. We show that an extrinsically provided matrix enhances lumen expansion as well as telencephalon formation, and unguided organoids grown in the absence of an extrinsic matrix have altered morphologies with increased neural crest and caudalized tissue identity. Matrixinduced regional guidance and lumen morphogenesis are linked to the WNT and Hippo (YAP1) signaling pathways, including spatially restricted induction of the Wnt Ligand Secretion Mediator (WLS) that marks the earliest emergence of nontelencephalic brain regions. Altogether, our work provides a new inroad into studying human brain morphodynamics, and supports a view that matrix-linked mechanosensing dynamics play a central role during brain regionalization.

developmental biology↗

bioRxiv2023

A highly connected river network continuum is not resilient to non-point source pollution from anthropogenic activity

Urbanization significantly impacts the community structure of aquatic organisms and poses a major threat to river biodiversity. However, the extent to which urbanization is linked to the homogenization of microbial communities and the underlying mechanisms remains poorly understood. In this study, we investigated the bacterial and archaeal communities from cities and neighboring natural rivers across river network located in the Qinling Mountains, Northwest China, and further investigated the alpha and beta diversity patterns and the mechanisms influenced by urbanization. We found that the influx of urban non-point source pollutants created a eutrophic condition, and enhanced the urban river microbial populations. Meanwhile, the rapid urbanization tends to decrease the overall habitat heterogeneity, and imposed stronger homogeneous selection and caused microbial communities biotic homogenization. The mechanisms of biotic homogenization can be attributed to modulating generalist/specialist species and invasion of nonnative species. For instance, the urban river had a greater proportion of fast-growing bacteria, algae, nitrifiers, PAH-degrading bacteria, pathogens, fecal bacteria and antibiotic-resistant bacteria than natural river ecosystems. Overall, urbanization leads to a more uniform river biosphere, causing the extinction of unique local species and a subsequent decrease in the regional species pool.

microbiology↗

bioRxiv2023

Structure and function of the human mitochondrial MRS2 channel

The human Mitochondrial RNA Splicing 2 protein (MRS2) has been implicated in Mg2+ transport across mitochondrial inner membranes, thus playing an important role in Mg2+ homeostasis critical for mitochondrial integrity and function. However, the molecular mechanisms underlying its fundamental channel properties such as ion selectivity and regulation remain unclear. Here, we present structural and functional investigation of MRS2. Cryo-electron microscopy structures in various ionic conditions reveal a pentameric channel architecture and the molecular basis of ion permeation and potential regulation mechanisms. Electrophysiological analyses demonstrate that MRS2 is a Ca2+-regulated, non-selective channel permeable to Mg2+, Ca2+, Na+ and K+, which contrasts with its prokaryotic ortholog, CorA, operating as a Mg2+-gated Mg2+ channel. Moreover, a conserved arginine ring within the pore of MRS2 functions to restrict cation movements, likely preventing the channel from collapsing the proton motive force that drives mitochondrial ATP synthesis. Together, our results provide a molecular framework for further understanding MRS2 in mitochondrial function and disease.

biophysics↗

bioRxiv2023

YiNet: An Integrated Traditional Chinese and Western Medicine Platform for Viral Infectious Diseases

Viral infectious diseases (VIDs) impose a heavy burden on global public health. Traditional Chinese medicine (TCM) has previously and is currently contributing to the prevention and treatment of infectious diseases. Omics and information technology enable the precise identification of virus characteristics, virus-host interactions and TCM mechanisms. In this study, we constructed the YiNet platform to better integrate the novel techniques and historical experience of TCM in infectious diseases. YiNet comprises three modules: knowledge base, database and toolkit. The YiNet knowledge base involves 43 VIDs, thereby systematically integrating the knowledge regarding viruses, host symptoms and TCM and Western medicine (commonly used chemical drugs, 6,899 herbs and 2,481 formulas). The YiNet database module includes multiple databases, comprising 57,340 genome sequences of 45,791 viral strains and 5,726 multi-omics datasets such as RNA-seq, ChIP-seq and ATAC-seq from different tissues and cell models. It also integrates 1,105 real-world TCM clinical cases. We adopted visual analysis tool to investigate pathogen-host-herb relationships. To explore pharmacological mechanisms for the core herbs, we added formula data mining and network pharmacology analysis pipelines and visualisation tools. YiNet can facilitate the mechanistic study of TCM and drug development for VIDs. The YiNet platform is publicly available at http://yinet.gene.ac/.

bioinformatics↗