Biology subjects

Zhang, H.

Publications and source records attributed to Zhang, H..

At least 703 records · Page 39Linked to original sources

bioRxiv2024

Identification of a distinct cluster of GDF15high macrophages exhibiting anti-inflammatory activities

Macrophage-mediated inflammatory response may have crucial roles in the pathogenesis of a variety of human diseases. Growth differentiation factor 15 (GDF15) is a cytokine of the transforming growth factor-{beta} superfamily, with potential anti-inflammatory activities. Previous studies observed in human lungs some macrophages which expressed a high level of GDF15. In the present study, we employed multiple techniques, including immunofluorescence, flow cytometry, and single-cell RNA sequencing, in order to further clarify the identity of such GDF15high macrophages. We demonstrated that macrophages derived from human peripheral blood mononuclear cells and rat bone marrow mononuclear cells by in vitro differentiation with granulocyte-macrophage colony stimulating factor contained a minor population ([~]1%) of GDF15high cells. GDF15high macrophages did not exhibit a typical M1 or M2 phenotype, but had a unique molecular signature as revealed by single-cell RNA sequencing. Functionally, GDF15high macrophages were associated with reduced responsiveness to pro-inflammatory activation; furthermore, GDF15high macrophages could inhibit the pro-inflammatory functions of other macrophages via a paracrine mechanism. We further confirmed that GDF15 per se was a key mediator of the anti-inflammatory effects of GDF15high macrophage. Also, we provided direct evidence showing that GDF15high macrophages were also present in other macrophage-residing human tissues in addition to the lungs. Our results suggest that the GDF15high macrophage may represent a distinct cluster of macrophage cells with intrinsic anti-inflammatory functions. The (patho)physiological importance of these cells in vivo warrants further investigation.

immunology↗

bioRxiv2024

Circatidal control of gene expression in the deep-sea hot vent shrimp Shinkaicaris leurokolos

Biological clocks are a ubiquitous feature of all life, enabling the use of natural environmental cycles to track time. Although studies on circadian rhythms have contributed greatly to the knowledge of chronobiology, biological rhythms in dark biospheres such as the deep sea remain poorly understood. Here, based on a laboratory free-running experiment, we reveal potentially endogenous rhythms in gene expression of the deep-sea hydrothermal vent shrimp Rimicaris leurokolos. Oscillations with [~]12-hour periods, likely reflecting tidal influence, greatly prevail over others in the temporal transcriptome, indicating R. leurokolos likely depends on a circatidal clock consisting of at least some components independent of the circadian clocks. The tidal transcripts exhibit an antiphased expression pattern divided into two internally synchronized clusters, correlated with wide-ranging biological processes that occur in the nucleus and cytoplasm, respectively. In addition, comparing the tidal transcripts with the [~]12-hour ultradian rhythms genes in fruit flies and mice shows large similarity, indicating the likely scenario of broad impact of the tide on the [~]12-hour oscillations across the metazoan. These findings not only provide new insights into the temporal adaptations in deep-sea organisms but also highlight deep-sea hydrothermal vent organisms as intriguing models for chronobiological, particularly 12-hour ultradian rhythms, studies.

ecology↗

bioRxiv2024

A removable and cosmopolitan dsRNA Toti-like virus causes latent infection in a model diatom strain

Diatoms contribute to 20% of global primary productivity. Although some diatom viruses have been identified, the molecular mechanisms underlying their interactions with the host remain poorly understood. In this study, we report the discovery of an RNA molecule in the DNA extracts of the Phaeodactylum tricornutum strain Pt1, which possesses a well-annotated genome and has been used as a diatom model system since 1956. We confirmed this molecule to be a double-stranded linear RNA molecule and, through sequencing, demonstrated it to be a virus in the Totiviridae family that is prevalent among marine stramenopiles. We also detected this virus in Phaeodactylum tricornutum strain Pt3, which was collected in 1930s from a similar geographic location to Pt1, suggesting its prevalence within the region. By employing various inhibitors of the viral RNA-dependent RNA polymerase, we successfully generated a virus-free line isogenic to Pt1, establishing a model system to investigate the impact of RNA viruses on diatom physiology. The virus-free lines did not display obvious growth advantages or defects, indicating a tendency of the virus towards latent infection. Furthermore, we generated a robust antibody against the coat protein of this virus. By performing immunoprecipitation coupled with mass spectrometry, we found that translation-related proteins are enriched as potential interacting partners of the coat protein. Our results suggest that potential viral impacts in molecular research should be considered when Pt1 and Pt3 are used for studying translation-related processes. Additionally, our study unveiled a temperate mode of interaction between viruses and marine algal hosts that differs from the commonly-reported virulent, lytic infections. HighlightsO_LIprevalent dsRNA virus belonging to the Totiviridae family was discovered in the Pt1 and Pt3 strains of the model diatom Phaeodactylum tricornutum. C_LIO_LIvirus is absent in eight other strains of P. tricornutum, highlighting the importance of studying multiple accessions. C_LIO_LIvirus can be eliminated using a nucleotide analogue, resulting in a virus-free isogenic strain that allows us to investigate how viruses may affect diatom physiology. C_LIO_LIrobust antibody against the coat protein of this virus was developed to assist mechanistic studies of diatom-virus interactions. C_LI

microbiology↗

bioRxiv2024

A Phased, Chromosome-scale Genome for Malus domestica 'WA 38'

Genome sequencing for agriculturally important Rosaceous crops has made rapid progress both in completeness and annotation quality. Whole genome sequence and annotation gives breeders, researchers, and growers information about cultivar specific traits such as fruit quality, disease resistance, and informs strategies to enhance postharvest storage. Here we present a haplotype-phased, chromosomal level genome of Malus domestica, WA 38, a new apple cultivar released to market in 2017 as Cosmic Crisp (R). Using both short and long read sequencing data with a k-mer based approach, chromosomes originating from each parent were assembled and segregated. This is the first pome fruit genome fully phased into parental haplotypes in which chromosomes from each parent are identified and separated into their unique, respective haplomes. The two haplome assemblies, Honeycrisp originated HapA and Enterprise originated HapB, are about 650 Megabases each, and both have a BUSCO score of 98.7% complete. A total of 53,028 and 54,235 genes were annotated from HapA and HapB, respectively. Additionally, we provide genome-scale comparisons to Gala, Honeycrisp, and other relevant cultivars highlighting major differences in genome structure and gene family circumscription. This assembly and annotation was done in collaboration with the American Campus Tree Genomes project that includes WA 38 (Washington State University), dAnjou pear (Auburn University), and many more. To ensure transparency, reproducibility, and applicability for any genome project, our genome assembly and annotation workflow is recorded in detail and shared under a public GitLab repository. All software is containerized, offering a simple implementation of the workflow.

genomics↗

bioRxiv2024

Cytochrome P450 Enzyme Design by Constraining Catalytic Pocket in Diffusion model

Although cytochrome P450 enzymes are the most versatile biocatalysts in nature, there is insufficient comprehension of the molecular mechanism underlying their functional innovation process. Here, by combining ancestral sequence reconstruction, reverse mutation assay and structure analysis, we identified five founder residues in the catalytic pocket of flavone 6-hydroxylase (F6H) and proposed a "three-point fixation" model to elucidate the functional innovation mechanisms of P450s in nature. According to this design principle of catalytic pocket, we further developed a de novo diffusion model (P450Diffusion) to generate artificial P450s. Ultimately, among the 17 non-natural P450s we generated, ten designs exhibited significant F6H activity and six exhibited a 1.3- to 3.5-fold increase in catalytic capacity compared to the natural CYP706X1. This work not only explores the design principle of catalytic pockets of P450s, but also provides an insight into the artificial design of P450 enzymes with desired functions.

molecular biology↗

bioRxiv2024

Deciphering the diversity and sequence of extracellular matrix and cellular spatial patterns in lung adenocarcinoma using topological data analysis

Extracellular matrix (ECM) organization influences cancer development and progression. It modulates the invasion of cancer cells and can hinder the access of immune cells to cancer cells. Effective quantification of ECM architecture and its relationship to the position of different cell types is, therefore, important when investigating the role of ECM in cancer development. Using topological data analysis (TDA), particularly persistent homology and Dowker persistent homology, we develop a novel analysis pipeline for quantifying ECM architecture, spatial patterns of cell positions, and the spatial relationships between distinct constituents of the tumour microenvironment. We apply the pipeline to 44 surgical specimens of lung adenocarcinoma from the lung TRACERx study stained with picrosirius red and haematoxylin. We show that persistent homology effectively encodes the architectural features of the tumour microenvironment. Inference using pseudo-time analysis and spatial mapping to centimetre scale tissues suggests a gradual and progressive route of change in ECM architecture, with two different end states. Dowker persistent homology enables the analysis of spatial relationship between any pair of constituents of the tumour microenvironment, such as ECM, cancer cells, and leukocytes. We use Dowker persistent homology to quantify the spatial segregation of cancer and immune cells over different length scales. A combined analysis of both topological and non-topological features of the tumour microenvironment indicates that progressive changes in the ECM are linked to increased immune exclusion and reduced oxidative metabolism.

cancer biology↗

bioRxiv2024

A Novel Mouse Model for LAMA2-Related Muscular Dystrophy: Analysis of Molecular Pathogenesis and Clinical Phenotype

Our understanding of the molecular pathogenesis of LAMA2-related muscular dystrophy (LAMA2-MD) requires improving. Here, we report the phenotype, neuropathology and transcriptomics data (scRNA-seq and bulk RNA-seq) of a new Lama2 knockout mouse (dyH/dyH) which was created based on the human LAMA2-MD mutation hotspot region using CRISPR-Cas9. The dyH/dyH mice presented severe phenotype with muscular dystrophy. Mouse brain scRNA-seq showed that Lama2 gene was expressed predominantly and specifically in vascular and leptomeningeal fibroblasts and vascular smooth muscle cells, and weakly in astrocytes in wild-type mouse. Laminin 2 expression on the cortical surface was observed with immunofluorescence. In dyH/dyH, Lama2 expression was decreased in those cell types, which might be associated with the disruption of gliovascular basal lamina assembly. Additionally, transcriptomic investigation of muscles showed 2020 differentially expressed genes, mainly associated with the impaired muscle cytoskeleton and development. In summary, this study provided potentially useful information for understanding the molecular pathogenesis of LAMA2-MD.

neuroscience↗

bioRxiv2024

Insights into Human Epileptogenesis with Proteomic Profiling

Epilepsy affects millions globally, and drug-resistant epilepsy remains a challenge. Molecular mechanisms underlying epilepsy remain elusive. Protein profiling through proteomics offers insight into biomarkers and therapeutic targets. Human brain tissue from epilepsy surgeries was analyzed using data-independent acquisition (DIA) proteomics. Samples were categorized into Core (epileptogenic focus), Border (marginal excision tissue), and Nonepileptic control groups. Differential expression proteins (DEPs) were identified and shared proteins were analyzed. 163 DEPs were identified which may has potential roles in the initiation of epileptic electrical firing, 412 DEPs which indicating the difference between epilepsy and Nonepilepsy patients and 10 DEPs consistently altered in Core which indicating potential roles in epileptogenesis. Notably, P35754/GLRX, O75335/PPFIA4, and Q96KP4/CNDP2 were consistently expressed differently in all group pairs. From validation experiments, the expression of Kv3.2 significant reduced in the Core group compare to border group by immunohistochemistry and knockdown of Kv3.2 increased seizure susceptibility and altered neuronal excitability through our cellular and animal experimentation.

neuroscience↗

bioRxiv2024

MemBrain v2: an end-to-end tool for the analysis of membranes in cryo-electron tomography

Cryo-electron tomography (cryo-ET) provides unique insights into macromolecular complexes in their native environments, yet membrane analysis remains a major bottleneck due to low signal-to-noise ratios, missing wedge artifacts, and the complexity of membrane-associated proteins. Existing tools often require extensive manual annotation, struggle with generalization across datasets, and lack integrated solutions for segmentation, protein localization, and quantitative analysis. We introduce MemBrain v2, a deep learning-enabled framework that unifies these tasks into a streamlined pipeline. MemBrain-seg leverages a diverse, collaboratively generated training dataset and specialized model training strategies to achieve generalizable membrane segmentation across variable tomographic conditions. MemBrain-pick enables data-efficient localization of membrane-bound proteins by integrating geometric constraints with deep learning, reducing the need for extensive manual annotation. MemBrain-stats provides quantitative insights into protein distributions, computing spatial metrics to analyze intra-membrane particle organization. MemBrain v2 integrates seamlessly into cryo-ET workflows, providing an accessible and structured approach to membrane analysis. The full package is available at https://github.com/CellArchLab/MemBrain-v2.

bioinformatics↗

bioRxiv2024

Intraoperative Ablation Control Based on Real-time Necrosis Monitoring Feedback: Numerical Evaluation

Ablation therapy is a type of minimally invasive treatment, utilized for various organs including the brain, heart, and kidneys. The accuracy of the ablation process is critically important to avoid both insufficient and excessive ablation, which may result in compromised efficacy or complications. The thermal ablation is formulated by two theoretical models: the heat transfer (HT) and necrosis formation (NF) models. In modern medical practices, feed-forward (FF) and temperature feedback (TFB) controls are primarily used as ablation control methodologies. FF involves pre-therapy procedure planning based on previous experiences and theoretical knowledge without monitoring the intraoperative tissue response, hence, it cant compensate for discrepancies in the assumed HT or NF models. These discrepancies can arise due to individual patients tissue characteristic differences and specific environmental conditions. Conversely, TFB control is based on the intraoperative temperature profile. It estimates the resulting heat damage based on the monitored temperature distribution and assumed NF model. Therefore, TFB can make necessary adjustments even if there is an error in the assumed HT model. TFB is thus seen as a more robust control method against modeling errors in the HT model. Still, TFB is limited as it assumes a fixed NF model, irrespective of the patient or the ablation technique used. An ideal solution to these limitations would be to actively monitor heat damage to the tissue during the operation and utilize this data to control ablation. This strategy is defined as necrosis feedback (NFB) in this study. Such real-time necrosis monitoring modalities making NFB possible are emerging, however, there is an absence of a generalized study that discusses the integration and quantifies the significance of the real-time necrosis monitor techniques for ablation therapy. Such an investigation is expected to clarify the universal principles of how these techniques would improve ablation therapy. In this study, we examine the potential of NFB in suppressing errors associated with the NF model as NFB is theoretically capable of monitoring and suppressing the errors associated with the NF models in its closed control loop. We simulate and compare the performances of TFB and NFB with artificially generated modeling errors using the finite element method (FEM). The results show that NFB provides more accurate ablation control than TFB when NF-oriented errors are applied, indicating NFBs potential to improve the ablation control accuracy and highlighting the value of the ongoing research to make real-time necrosis monitoring a clinically viable option.

bioengineering↗

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↗

bioRxiv2024

Direct interrogation of context-dependent GPCR activity with a universal biosensor platform

G protein-coupled receptors (GPCRs) are the largest family of druggable proteins in the human genome, but progress in understanding and targeting them is hindered by the lack of tools to reliably measure their nuanced behavior in physiologically-relevant contexts. Here, we developed a collection of compact ONE vector G-protein Optical (ONE-GO) biosensor constructs as a scalable platform that can be conveniently deployed to measure G-protein activation by virtually any GPCR with high fidelity even when expressed endogenously in primary cells. By characterizing dozens of GPCRs across many cell types like primary cardiovascular cells or neurons, we revealed new insights into the molecular basis for G-protein coupling selectivity of GPCRs, pharmacogenomic profiles of anti-psychotics on naturally-occurring GPCR variants, and G-protein subtype signaling bias by endogenous GPCRs depending on cell type or upon inducing disease-like states. In summary, this open-source platform makes the direct interrogation of context-dependent GPCR activity broadly accessible.

biochemistry↗

bioRxiv2023

Dispersal and evolution of the invasive snail Pomacea canaliculata, an intermediate host of Angiostrongylus cantonensis: A field study around its initial introduction site in China

Eosinophilic meningitis caused by Angiostrongylus cantonensis is an emerging infectious disease in mainland China. The invasive snail (Pomacea canaliculata) is one of the main intermediate host of the zoonotic nematode. To gain insights into the spatial distribution, phenotypic variation and dispersal pattern of the snail populations. A field survey was conducted using modified nested sampling and selecting ditches as the main habitats. Snail distribution and abundance were displayed with predictions based on an inverse distance-weighted model. Correlation and spatial autocorrelation were analyzed among the measured parameters. The findings of this study demonstrate the well-established and abundant presence of P. canaliculata in ditches. A total of 564 sampling sites were assessed, with measurements taken on 10,145 snails having shell heights greater than 1.5 cm. The average population density was determined to be 20.31 {+/-} 11.55 snails per square meter. Morphological analysis revealed an average snail body mass of 8.93 {+/-} 3.95 g, shell height of 3.38 {+/-} 0.66 cm, a sex ratio of 2.39 {+/-} 1.01 female to male, and a shell color ratio of 9.34 {+/-} 7.52 brown to yellow. Among these measurements, body mass was found to be significantly correlated with shell height (r = 0.88, p < 0.01) and shell color (r = 0.55, p < 0.05). Spatial-correlation analysis proved that shell height was the only factor significantly spatially autocorrelated (MI = 0.27, z = 2.20, p = 0.03), although weak autocorrelations appeared in body mass and shell color. The observed geographic variations of phenotypic traits indicated a human-mediated evolving process of the snail populations and a potential complexity of the parasite transmission system. These findings may enhance the assessment of the epidemiological health risk posed by angiostrongyliasis and inform strategies for controlling infectious snails.

ecology↗

bioRxiv2023

Thermo-Responsive Polymers Targeting Inflammation in Murine Colitis

Targeting the site of inflammation is an ideal approach for treating inflammatory bowel disease (IBD). Inflammation targeting enables maximal drug-on-target effects while minimizing off-target side effects. Negatively charged drug carriers have been shown to facilitate drug delivery to inflamed colon mucosa after local administration. To modulate the negative charges and integrate responsiveness to stimuli, here we describe thermo-responsive, inflammation-targeting (TRIT) hydrogels based on functionalized poly(N-isopropylacrylamide-co-methacrylic acid) (PNIPAM-MAA). We show that both chemical modification types and polymer molecular weights affect the resultant microgels adhesion to the inflamed colon in dextran sulfate sodium (DSS)-induced murine colitis in vivo. Further, we quantified the correlations between microgels adhesion and colitis severity for individual mice, demonstrating that the microgels adhesion correlated directly with weight loss percentage in DSS-treated mice. By exploiting charge-mediated interaction and thermo-responsiveness, TRIT hydrogels represent a promising strategy to target inflamed colon mucosa as a drug delivery platform for colonic IBD treatment. TeaserThis study developed thermo-responsive, inflammation-targeting (TRIT) hydrogels that harness charge-mediated interaction and sol-to-gel transition to target inflamed colon mucosa as a new approach for treating inflammatory bowel disease.

bioengineering↗

bioRxiv2023

TaNF-Y-PRC2 orchestrates temporal control of starch and protein synthesis in wheat

The endosperm in cereal grains is instrumental in determining grain yield and seed quality, as it controls the production of starch and protein. In this study, we identified a specific TaNF-Y trimeric complex, consisting of TaNF-YA3-D, TaNF-YB7-B, and TaNF-YC6-B, exhibiting robust expression within endosperm during grain filling stage in wheat. Knock-down of either TaNF-YA3 or TaNF-YC6 led to less starch but more gluten proteins. Detailed analyses have unveiled that the TaNF-Y indirectly boosts starch biosynthesis genes by reducing TaNAC019, a repressor of TaAGPS1a, TaSuS2, thereby regulating starch biosynthesis. Conversely, the TaNF-Y directly inhibits the expression of gliadin and low molecular weight (LMW)-GS coding genes, including TaGli-{gamma}-700 and TaLMW-400. Furthermore, the TaNF-Y components interact with TaSWN, the histone methyltransferase subunit of Polycomb repressive complex 2 (PRC2), to repress the expression of TaNAC019, TaGli-{gamma}-700, and TaLMW-400 through H3K27me3 modification. Notably, weak mutation of TaFIE, core subunit of PRC2, has reduced starch but elevated gliadin and LMW-GS levels. Intriguingly, DNA variations of TaNF-Y components are widely associated with seed developmental traits. In particular, variation within the coding region of TaNF-YB7-B is linked to differences in starch and protein content. Distinct haplotypes of TaNF-YB7-B affect its interaction with TaSWN, influencing the repression of targets like TaNAC019 and TaGli-{gamma}-700. Our findings illuminate the intricate molecular mechanisms governing epigenetic regulation by the TaNF-Y-PRC2 for wheat endosperm development. Manipulating the TaNF-Y complex holds potential for optimizing grain yield and enhancing quality.

plant biology↗

bioRxiv2023

SOAPy: a Python package to dissect spatial architecture, dynamics and communication

Advances in spatial omics technologies have brought opportunities to dissect tissue microenvironment, while also posing more requirements and challenges for computational methods. Here we developed a package SOAPy to systematically dissect spatial architecture, dynamics and communication from spatial omics data. Specifically, it provides analysis methods for multiple spatial-related tasks, including spatial domain, spatial expression tendency, spatiotemporal expression pattern, cellular co-localization, multi-cellular niches, and ligand-receptor-mediated and spatial-constrained cell communication. Applying SOAPy on different spatial omics technologies and diverse biological fields has demonstrated its power on elucidation of biological questions about tumors, embryonic development, and normal physiological structures. Overall, SOAPy is a universal tool for spatial omics analysis, providing a foundation for continued investigation of the microenvironment.

bioinformatics↗

bioRxiv2023

Adapting Nanopore Sequencing Basecalling Models for Modification Detection via Incremental Learning and Anomaly Detection

We leverage machine learning approaches to adapt nanopore sequencing basecallers for nucleotide modification detection. We first apply the incremental learning technique to improve the basecalling of modification-rich sequences, which are usually of high biological interests. With sequence backbones resolved, we further run anomaly detection on individual nucleotides to determine their modification status. By this means, our pipeline promises the single-molecule, single-nucleotide and sequence context-free detection of modifications. We benchmark the pipeline using control oligos, further apply it in the basecalling of densely-modified yeast tRNAs and E.coli genomic DNAs, the cross-species detection of N6-methyladenosine (m6A) in mammalian mRNAs, and the simultaneous detection of N1-methyladenosine (m1A) and m6A in human mRNAs. Our IL-AD workflow is available at: https://github.com/wangziyuan66/IL-AD.

bioinformatics↗

bioRxiv2023

Male-biased recombination at chromosome ends in a songbird revealed by precisely mapping crossover positions

Recombination plays a crucial role in evolution by generating novel haplotypes and disrupting linkage between genes, thereby enhancing the efficiency of selection. Here, we analyse the genomes of twelve great reed warblers (Acrocephalus arundinaceus) in a three-generation pedigree to identify precise crossover positions along the chromosomes. We located more than 200 crossovers and found that these were highly concentrated towards the telomeric ends of the chromosomes. While the number of recombination events was similar between the sexes, the crossovers were located significantly closer to the ends of paternal compared to maternal chromosomes. The frequency of crossovers was similar between intergenic and genic regions, but within genes, they occurred more frequently in exons than in introns. In conclusion, our study of the great reed warbler revealed substantial variation in crossover frequencies within chromosomes, with a distinct bias towards the sub-telomeric regions, particularly on the paternal side. These findings emphasise the importance of thoroughly screening the entire length of chromosomes to characterise the recombination landscape and uncover potential sex-biases in recombination. Article summaryThe genetic exchange between the paternal and maternal chromosomes during meiosis - recombination - plays a crucial role in evolution by generating new haplotypes that natural selection can act upon. By analysing genomic data of a three-generation family of great reed warblers, we detected precise locations of approximately 200 recombination events in the genome of these birds. This unveiled a prominent sex-bias with recombination occurring more often towards chromosome ends in males than in females.

evolutionary biology↗