Biology subjects

Zheng, X.

Publications and source records attributed to Zheng, X..

At least 145 records · Page 8Linked to original sources

bioRxiv2024

Inducible deletion of Ezh2 in CD4+ T cells inhibits kidney T cell infiltration and prevents interstitial nephritis in MRL/lpr lupus-prone mice

Systemic lupus erythematosus is a remitting relapsing autoimmune disease characterized by autoantibody production and multi-organ involvement. T cell epigenetic dysregulation plays an important role in the pathogenesis of lupus. We have previously demonstrated upregulation of the key epigenetic regulator EZH2 in CD4+ T cells isolated from lupus patients. To further investigate the role of EZH2 in the pathogenesis of lupus, we generated a tamoxifen-inducible CD4+ T cell Ezh2 conditional knockout mouse on the MRL/lpr lupus-prone background. We demonstrate that Ezh2 deletion abrogates lupus-like disease and prevents T cell differentiation. Single-cell analysis suggests impaired T cell function and activation of programed cell death pathways in EZH2-deficient mice. Ezh2 deletion in CD4+ T cells restricts TCR clonal repertoire and prevents kidney-infiltrating effector CD4+ T cell expansion and tubulointerstitial nephritis, which has been linked to end-stage renal disease in patients with lupus nephritis.

immunology↗

bioRxiv2024

STCC: consensus clustering enhances spatial domain detection for spatial transcriptomics data

The rapid advance of spatially resolved transcriptomics technologies has yielded substantial spatial transcriptomics data. Deriving biological insights from these data poses non-trivial computational and analysis challenges, of which the most fundamental step is spatial domain detection (or spatial clustering). Although a number of tools for spatial domain detection have been proposed in recent years, their performance varies across datasets and experimental platforms. It is thus an important task to take full advantage of different tools to get a more accurate and stable result through consensus strategy. In this work, we developed STCC, a novel consensus clustering framework for spatial transcriptomics data that aggregates outcomes from state-of-the-art tools using a variety of consensus strategies, including Onehot-based, Average-based, Hypergraph-based and wNMF-based methods. Comprehensive assessments on simulated and real data from distinct experimental platforms show that consensus clustering significantly improves clustering accuracy over individual methods under varied input parameters. For normal tissue samples exhibiting clear layered structure, consensus clustering by integrating multiple baseline methods leads to improved results. Conversely, when analyzing tumor samples that display scattered cell type distribution patterns, integration of a single baseline method yields satisfactory performance. For consensus strategies, Average-based and Hypergraph-based approaches demonstrated optimal precision and stability. Overall, STCC provides a scalable and practical solution for spatial domain detection in spatial transcriptomic data, laying a solid foundation for future research and applications in spatial transcriptomics.

bioinformatics↗

bioRxiv2024

High performance TadA-8e derived cytosine and dual base editors with undetectable off-target effects in plants

Cytosine base editors (CBEs) and adenine base editors (ABEs) are powerful tools to install precise C-to-T and A-to-G base edits in living organisms. In recently years, a highly efficient ABE based on engineered TadA-8e, known as ABE8e, has been developed to confer highly efficient A-to-G editing in mammalian cells and plants. Interestingly, TadA-8e can be further evolved and engineered to confer cytosine base editing. In this study, we compare in rice and tomato cells a serial of engineered CBEs derived from TadA-8e and identify TadCBEa, TadCBEd, and TadCBEd_V106W as efficient CBEs with high editing purity, while maintaining the relatively narrow editing window of ABE8e. Excitingly, we show TadDE is a new class of dual base editor where a single deaminase domain promotes simultaneous C-to-T and A-to-G base editing in plant cells. Multiplexed base editing is demonstrated in transgenic rice plants with TadCBEa and TadDE. Furthermore, no off-target effects of TadCBEa and TadDE can be detected by whole genome and transcriptome sequencing of the transgenic lines, suggesting high editing specificity. Finally, we demonstrate two gain-of-function crop engineering applications in rice by using the efficient dual base editor, TadDE. In the first case, herbicide resistance alleles of OsALS are introduced by TadDE. In the second case, synonymous mutations are generated in OsSPL14, making its transcript resistant to OsMIR156-mediated degradation. Together, this study reports TadA-8e derived CBEs and a dual base editor with high editing activity, purity, and specificity. They are valuable additions to the expanding plant base editing toolbox.

molecular biology↗

bioRxiv2024

Comparative transcriptome database for Camellia sinensis reveals genes important for flavonoid synthesis in tea plants

Tea, as one of the most popular beverages in the world, possesses a plethora of secondary metabolites that are beneficial to human health. Tea plants (Camellia sinensis) exhibit rich genetic diversity, where different cultivars can vary significantly in terms of yield, adaptability, morphology, and composition of secondary metabolites. Many tea cultivars have been the subject of much research interest, which have led to the accumulation of publicly available RNA-seq data. As such, it has become possible to systematically summarize the characteristics of different cultivars at the transcriptomic level, identify valuable functional genes, and infer gene functions through co-expression analysis. Here, the transcriptomes of 9 cultivars of Camellia sinensis were assembled and combined with the coding sequences of 13 cultivars of Camellia sinensis to study the differences and similarities of gene expression and biological functions among cultivars. To give access to this data, we present TeaNekT (https://teanekt.sbs.ntu.edu.sg/), a web resource that provides user-friendly tools and interactive visualizations that facilitates the prediction of gene functions of various tea cultivars. We used TeaNekT to perform cross-cultivar comparison of co-expressed gene neighborhoods, clusters, and tissue-specific gene expression. We show that the members of the chalcone synthase (CHS) gene family, important for flavonoid synthesis, exhibit the highest expression variability, specific expression in leaves and buds, and significant modulation by methyl jasmonate (MeJA) treatment. By using comparative co-expression tools of TeaNekT, we identified multiple conserved genes involved in flavonoid biosynthesis among cultivars that have not been previously studied, warranting further research.

bioinformatics↗

bioRxiv2024

A method for mining condition-specific co-expressed genes in Camellia sinensis based on K-means clustering: A case study of "Anji Baicha" tea cultivar

As one of the worlds most important beverage crops, tea plants (Camellia sinensis) are renowned for their unique flavors and numerous beneficial secondary metabolites, attracting researchers to investigate the formation of tea quality. With the increasing availability of transcriptome data on tea plants in public databases, conducting large-scale co-expression analyses has become feasible to meet the demand for functional characterization of tea plant genes. However, as the multidimensional noise increases, larger-scale co-expression analyses are not always effective. Analyzing a subset of samples generated by effectively downsampling and reorganizing the global sample set often leads to more accurate results in co-expression analysis. Meanwhile, global-based co-expression analyses are more likely to overlook condition-specific gene interactions, which may be more important and worthy of exploration and research. Here, we employed the k-means clustering method to organize and classify the global samples of tea plants, resulting in clustered samples. Metadata annotations were then performed on these clustered samples to determine the "conditions" represented by each cluster. Subsequently, we conducted gene co-expression network analysis (WGCNA) separately on the global samples and the clustered samples, resulting in global modules and cluster-specific modules. Comparative analyses of global modules and cluster-specific modules have demonstrated that cluster-specific modules exhibit higher accuracy in co-expression analysis. To measure the degree of condition specificity of genes within condition-specific clusters, we introduced the correlation difference value (CDV). By incorporating the CDV into co-expression analyses, we can assess the condition specificity of genes. This approach proved instrumental in identifying a PPR-type RNA editing factor gene (CWM1) that specifically functions during the bud-prealbinism stage of the Camellia sinensis cultivar "Anji Baicha". We hypothesize that this gene may be upregulated and play a role in inhibiting chloroplast development, ultimately resulting in albino phenotypes in "Anji Baicha".

bioinformatics↗

bioRxiv2024

Primary oocytes with cellular senescence features are involved in ovarian aging in mice

In mammalian females, quiescent primordial follicles serve as the ovarian reserve and sustain normal ovarian function and egg production via folliculogenesis. The loss of primordial follicles causes ovarian aging. Cellular senescence, characterized by cell cycle arrest and production of the senescence-associated secretory phenotype (SASP), is associated with tissue aging. In the present study, we report that some quiescent primary oocytes in primordial follicles become senescent in adult mouse ovaries. The senescent primary oocytes share senescence markers characterized in senescent somatic cells. The senescent primary oocytes were observed in young adult mouse ovaries, remained at approximately 15% of the total primary oocytes during ovarian aging from 6 months to 12 months, and accumulated in aged ovaries. Administration of a senolytic drug ABT263 to 3-month-old mice reduced the percentage of senescent primary oocytes and the transcription of the SASP cytokines in the ovary. In addition, led to increased numbers of primordial and total follicles and a higher rate of oocyte maturation and female fertility. Our study provides experimental evidence that primary oocytes, a germline cell type that is arrested in meiosis, become senescent in adult mouse ovaries and that senescent cell clearance reduced primordial follicle loss and mitigated ovarian aging phenotypes.

cell biology↗

bioRxiv2024

Appropriate glycemic management protects the germline but not uterine environment in type 1 diabetes

Emerging evidence indicates that parental diseases can impact the health of subsequent generations through epigenetic inheritance. Recently, it was shown that maternal diabetes alters the metaphase II oocyte transcriptome, causing metabolic dysfunction in offspring. However, the type 1 diabetes (T1D) mouse models frequently utilized in previous studies may be subject to several confounding factors as a result of severe hyperglycemia. This limits clinical translatability due to improvements in glycemic control for T1D subjects. Therefore, we optimized a T1D mouse model to investigate the effects of appropriately managed maternal glycemic levels on oocytes and intrauterine development. We show that diabetic mice with appropriate glycemic control exhibited better long-term health outcomes, which maintains the oocyte transcriptome and chromatin accessibility. Moreover, we find that human oocytes undergoing in vitro maturation challenged with mildly increased levels of glucose, reflecting appropriate glycemic management, also retained their transcriptome. However, the fetal growth and placental function were still affected despite appropriate glycemic control, underscoring the uterine environment rather than the germline as a pathological factor for developmental programming in appropriately managed diabetes.

developmental biology↗

bioRxiv2023

Biosynthesis of the proteins containing neurotoxin β-N-methylamino-L-alanine in marine diatoms

Neurotoxin {beta}-N-methylamino-L-alanine (BMAA) has been deemed a pathogenic factor for human neurodegenerative diseases. It is an important issue to disclose the biosynthesis mechanism of BMAA in marine diatoms. In the present study, the iron (Fe) limitation (1/3 x Fe) was found to suppress the growth of diatoms but stimulate the production of BMAA-containing proteins, maximum 7.7 fold in Thalassiosira minima. Transcriptome analysis showed that energy metabolism, protein biosynthesis and carbon fixation functions were mainly affected by the Fe limitation in the diatom. Analysis of subcellular distribution of BMAA showed that BMAA-containing proteins were mainly detected in the endoplasmic reticulum and the Golgi apparatus. Combination results of the responses of the diatom to Fe deficiency and co-culture with cyanobacteria in our previous study, we speculate that cysteine embedded in peptide chains and methylamine produced by the diatom itself are possibly catalyzed by the cysteine synthase (cysK) to form the BMAA structure in situ. Spiked methylamine in culture media significantly stimulated the production of BMAA, and BMAA amounts were correlated with the expression of cysK gene in different diatoms. The reduced ubiquitination-mediated proteolysis and vesicle trafficking precision through the COPII system would aggravate the accumulation of BMAA-containing proteins in the diatom. Significance StatementWith the detection of neurotoxin BMAA in diverse marine diatoms, the pathogenic risk of BMAA has been further concerned to human neurodegenerative diseases such as Alzheimers disease. Interestingly, BMAA-containing proteins are the dominant forms of this neurotoxin in diatoms. It is a keystone issue to disclose the biosynthesis mechanism of BMAA in marine diatoms. We found Fe-limitation could stimulate the production of BMAA-containing proteins in diatoms and explored its biosynthesis using transcriptomics in this study. Results suggested that cysteine embedded in peptides and methylamine in cytoplasm were catalyzed by the cysteine synthase (cysK) to form BMAA. This study hints that the biosynthesis of BMAA would be improved by the worldwide prevalence of iron deficiency in the coastal waters.

biochemistry↗

bioRxiv2023

Comprehensive Multi-Omic Analysis Reveals Distinct Molecular Features in Early and Advanced Stages of Hepatocellular Carcinoma

Hepatocellular Carcinoma (HCC) is a serious primary solid tumor that is prevalent worldwide. Due to its high mortality rate, it is crucial to explore both early diagnosis and advanced treatment for HCC. In recent years, multi-omic approaches have emerged as promising tools to identify biomarkers and investigate molecular mechanisms of biological processes and diseases. In this study, we performed proteomics, phosphoproteomics, metabolomics, and lipidomics to reveal the molecular features of early- and advanced-stage HCC. The data obtained from these omics were analyzed separately and then integrated to provide a comprehensive understanding of the disease. The multi-omic results unveiled intricate biological pathways and interaction networks underlying the initiation and progression of HCC. Moreover, we proposed specific potential biomarker panels for both early- and advanced-stage HCC by overlapping our data with CPTAC database, and deduced novel insights and mechanisms related to HCC origination and development.

cancer biology↗

bioRxiv2023

Adaptive Regularized Tri-Factor Non-Negative Matrix Factorization for Cell Type Deconvolution

Accurate deconvolution of cell types from bulk gene expression is crucial for understanding cellular compositions and uncovering cell-type specific differential expression and physiological states of diseased tissues. Existing deconvolution methods have limitations, such as requiring complete cellular gene expression signatures or neglecting partial biological information. Moreover, these methods often overlook varying cell-type mRNA amounts, leading to biased proportion estimates. Additionally, they do not effectively utilize valuable reference information from external studies, such as means and ranges of population cell-type proportions. To address these challenges, we introduce an Adaptive Regularized Tri-factor non-negative matrix factorization approach for deconvolution (ARTdeConv). We rigorously establish the numerical convergence of our algorithm. Through benchmark simulations, we demonstrate the superior performance of ARTdeConv compared to state-of-the-art semi-reference-based and reference-free methods. In a real-world application, our method accurately estimates cell proportions, as evidenced by the nearly perfect Pearsons correlation between ARTdeConv estimates and flow cytometry measurements in a dataset from a trivalent influenza vaccine study. Moreover, our analysis of ARTdeConv estimates in COVID-19 patients reveals patterns consistent with important immunological phenomena observed in other studies. The proposed method, ARTdeConv, is implemented as an R package and can be accessed on GitHub for researchers and practitioners.

bioinformatics↗

bioRxiv2023

Dynamics of Brain Lateralization and Genetic Underpinnings during Chinese Natural Speech Processing: Preferential Occurrence of Logic-Related Patterns in Males and Emotion-Related Patterns in Females

Though language is considered unique to humans with left dominant lateralization in the brain, the dynamic nature of the interplay between hemispheres during language processing remains largely unknown. Here, we investigated whole-brain functional dynamic lateralization patterns during Chinese language processing and potential sex disparities using functional MRI data of 20 subjects listening to narrative stories in a 7T MRI scanner. Our findings revealed two distinct dynamic lateralization states, with regions of the language system consistently showing the left lateralization but reversed lateralization for other regions. These two states, characterized by higher-level functioning regions exhibiting left- or right-lateralization, corresponded to the processing of rational and emotional contents, respectively. We observed pronounced inclinations towards the former state in males and the latter state in females, especially during the processing of rational contents. Finally, genetic analyses revealed that the sex differences in lateralization states were potentially influenced by sex hormones.

neuroscience↗

bioRxiv2023

Group-common and individual-specific effects of structure-function coupling in human brain networks with graph neural networks

The human cerebral cortex is organized into functionally segregated but synchronized regions bridged by the structural connectivity of white matter pathways. While structure-function coupling has been implicated in cognitive development and neuropsychiatric disorders, it remains unclear to what extent the structure-function coupling reflects a group-common characteristic or varies across individuals, at both the global and regional brain levels. By leveraging two independent, high-quality datasets, we found that the graph neural network accurately predicted unseen individuals functional connectivity from structural connectivity, reflecting a strong structure-function coupling. This coupling was primarily driven by network topology and was substantially stronger than that of the correlation approaches. Moreover, we observed that structure-function coupling was dominated by group-common effects, with subtle yet significant individual-specific effects. The regional group and individual effects of coupling were hierarchically organized across the cortex along a sensorimotor-association axis, with lower group and higher individual effects in association cortices. These findings emphasize the importance of considering both group and individual effects in understanding cortical structure-function coupling, suggesting insights into interpreting individual differences of the coupling and informing connectivity-guided therapeutics.

neuroscience↗

bioRxiv2023

Analysis of the comparative strengths of intramural and extramural grant funding mechanisms

Funding agencies use a variety of mechanisms to fund research. The National Institutes of Health in the United States, for example, employs scientists to perform research at its own laboratories (intramural research), and it also awards grants to pay for research at external institutions such as universities (extramural research). Here, using data from 1594 intramural grants and 97054 extramural grants funded between 2009 and 2019, we compare the scholarly outputs from these two funding mechanisms in terms of number of publications, relative citation ratio and clinical metrics. We find that extramural awards are more cost-effective for producing outputs commonly used for academic evaluation, such as publications and citations (per dollar), while intramural awards are more cost-effective for generating research that influences future clinical work, more closely in line with the agencys health goals. These findings provide evidence that institutional incentives associated with different funding mechanisms drive their comparative strengths.

scientific communication and education↗

bioRxiv2023

coRIC map: a framework for the exploration of multifaceted subcellular RNA-binding proteins

The ability of RNA-binding proteins (RBPs) to form complexes with other biomolecules underpins a broad range of functions and remarkable structural properties. Understanding the precise spatiotemporal dynamics of RBPs and their interacting partners in the steady state and upon perturbation is key to deciphering these aspects. Here, we present the coRIC (compartmentalized RNA Interactome Capture) map, an experimental resource and analytical pipeline to study the subcellular dynamics of RBPs through multimodal dataset integration and machine learning. Using this approach, we have generated an atlas comprising 1,768 RBPs distributed in a broad panel of subcellular compartments and delineated their intermolecular and intercompartmental relationships. We have also defined the hierarchy of RBP-containing complexes at multiple scales across the cell, uncovering previously unknown functions of multiple RBPs. Furthermore, we have investigated the changes in RBP complex composition and subcellular distribution in response to C9ORF72 amyotrophic lateral sclerosis/frontotemporal dementia dipeptide repeats and DNA damage stress. The coRIC map provides a valuable new approach for defining the roles of RBPs in homeostasis and disease.

cell biology↗

bioRxiv2023

Transdifferentiation of fibroblasts into muscle cells to constitute cultured meat with tunable intramuscular fat deposition

Current studies on cultured meat mainly focused on the muscle tissue reconstruction in vitro, but lack the formation of intramuscular fat which is a crucial factor in determining taste, texture and nutritional contents. Therefore, incorporating fat into cultured meat is of superior value. In this study, we employed the myogenic/lipogenic transdifferentiation of chicken fibroblasts in 3D to produce muscle mass and deposit fat into the same cells without the co-culture or mixture of different cells or fat substances. The immortalized chicken embryonic fibroblasts were implanted into the hydrogel scaffold and the cell proliferation and myogenic transdifferentiation were conducted in 3D to produce the whole-cut meat mimics. Compare to 2D, cells grown in 3D matrix showed elevated myogenesis and collagen production. We further induced fat deposition in the transdifferentiated muscle cells and the triglyceride content could be manipulated to match and exceed the levels of chicken meat. The gene expression analysis indicated that both lineage-specific and multi-functional signalings could contribute to the generation of muscle/fat matrix. Overall, we were able to precisely modulate muscle, fat, and extracellular matrix contents according to balanced or specialized meat preferences. These findings provide new avenues for customized cultured meat production with desired intramuscular fat contents that can be tailored to meet the diverse demands of consumers. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=90 SRC="FIGDIR/small/564179v2_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@1697f5dorg.highwire.dtl.DTLVardef@128e4a1org.highwire.dtl.DTLVardef@1ba31b4org.highwire.dtl.DTLVardef@11559ba_HPS_FORMAT_FIGEXP M_FIG Graphical Abstract C_FIG

cell biology↗

bioRxiv2023

Vaccination by single dose sporozoite injection of blood stage attenuated malaria parasites

An efficient malaria vaccine remains elusive. As an alternative to malaria subunit vaccines, vaccination approaches are currently explored using live Plasmodium parasites, either attenuated mosquito-derived sporozoites or attenuated blood stage parasites. Both approaches would profit from the availability of attenuated and avirulent parasites with a reduced blood stage multiplication rate. Ideally, such slow growing parasites would proceed normally through the mosquito but cause a self-limiting infection upon transmission. Here we screened gene-deletion mutants of the rodent parasite P. berghei and the human parasite P. falciparum for slow growth. In addition, we tested the P. berghei mutants for avirulence in mice and self-resolving blood stage infections, while preserving sporozoite formation and liver infection. Targeting fifty genes yielded seventeen P. berghei gene-deletion mutants with two mutants causing self-clearing infections in mice while retaining full transmissibility through mosquitoes. For those, infection of mice by a low number of blood stages, infected-mosquito bites or by single injection of sporozoites led to protection from disease after challenge with wild type sporozoites. Two of six generated P. falciparum gene-deletion mutants showed a slow growth rate. Slow growing, avirulent P. falciparum mutants will constitute valuable tools to inform on the induction of immune responses and aid in developing new as well as safeguarding existing attenuated parasite vaccines.

cell biology↗

bioRxiv2023

Zaxinone Synthase overexpression modulates rice physiology and metabolism, improving growth and productivity under normal and low phosphate supply

The rice Zaxinone Synthase (ZAS) gene encodes a carotenoid cleavage dioxygenase (CCD) that forms the apocarotenoid growth regulator zaxinone. Here, we generated and characterized constitutive ZAS-overexpressing rice lines, to better understand ZAS role in determining zaxinone content and regulating growth and architecture. ZAS overexpression enhanced endogenous zaxinone level, promoted root growth and meristem size, and increased the number of productive tillers, leading to an up to 30% higher grain yield per plant. Hormone analysis revealed a decrease in strigolactone (SL) content, which we confirmed by rescuing the high-tillering phenotype through application of a SL analog. Metabolomics analysis revealed that ZAS overexpressing plants accumulate higher amounts of monosaccharide sugars, in line with transcriptome analysis. Moreover, transgenic plants showed higher carbon (C) assimilation rate and elevated root phosphate, nitrate and sulfate level, enhancing the tolerance towards low phosphate (Pi) and indicating a generally better nutrient uptake. Our study shows that ZAS regulates hormone homeostasis and a combination of physiological processes to promote growth and grain yield, which makes this gene an excellent candidate for sustainable crop improvement. TeaserZaxinone Synthase overexpression modulates rice metabolism and physiology and improves growth and phosphate uptake.

plant biology↗

bioRxiv2023

Proximity proteomics reveals UCH-L1 as an essential regulator of NLRP3 mediated IL-1β production in human macrophages and microglia

Activation of the NACHT, LRR family pyrin domain containing 3 (NLRP3) inflammasome complex is an essential innate immune signalling mechanism. To reveal how human NLRP3 inflammasome assembly and activation are controlled, in particular by components of the ubiquitin system, proximity labelling, affinity purification and RNAi screening approaches were performed. Our study provides an intricate time-resolved molecular map of different phases of NLRP3 inflammasome activation. Also, we show that ubiquitin C-terminal hydrolase 1 (UCH-L1) interacts with the NACHT domain of NLRP3. Downregulation of UCH-L1 decreases pro-IL-1{beta} levels. UCH-L1 chemical inhibition with small molecules interfered with NLRP3 puncta formation and ASC oligomerization, leading to altered IL-1{beta} cleavage and secretion, particularly in microglia cells, which exhibited elevated UCH-L1 expression as compared to monocytes/macrophages. Altogether, we profiled NLRP3 inflammasome activation dynamics and highlight UCH-L1 as an important modulator of NLRP3-mediated IL-1{beta} production, suggesting that a pharmacological inhibitor of UCH-L1 may decrease inflammation-associated pathologies.

biochemistry↗