bioRxiv Science⌕ Search

Biology subjects

Ding, R.

Publications and source records attributed to Ding, R..

At least 37 records · Page 2Linked to original sources
bioRxiv2024

Stearoyl coenzyme A desaturase 1 (SCD1) regulates foot-and-mouth disease virus replication by modulating host cell lipid metabolism and 2C-mediated replication complex formation

The life cycle of foot-and-mouth disease virus (FMDV) is tightly regulated by host cell lipid metabolism. In a previous study, we successfully established a BHK-21 cell model (BHK-Op) for persistent FMDV infection by single-cell clone selection and isolated a virus-negative cell line (BHK-VEC cells) from high-passage BHK-Op cells. BHK-VEC cells could be not infected with FMDV. By conforming the transcriptome data of BHK-VEC cells and BHK-21 cells, we identified that the stearoyl coenzyme A desaturase 1 (SCD1), a key enzyme for the fatty acid metabolism, regulates FMDV replication. SCD1 overexpression or exogenous addition of oleic acid (OA), a product of SCD1 enzyme activity, promoted or upregulated FMDV replication in BHK-21 cells or SCD1 knockdown cells, respectively. Interestingly, overexpression of SCD1 or exogenous addition of OA restored the FMDV infection and replication in BHK-VEC cells. Exogenous addition of OA also promoted FMDV replication in BHK-Op. SCD1 recruited the nonstructural FMDV protein 2C to the detergent-resistant membrane located in the perinuclear nucleus to form replication complex. Inhibition of SCD1 enzyme activity resulted in significantly decreased number of FMDV replication complexes with also abnormal morphology. Importantly, inhibition of SCD1 enzyme activity effectively suppressed replication of other positive-sense RNA viruses, such as REO176, PV1 and EV71. Our results demonstrated that, as a key host regulator of RNA virus replication, SCD1 is a potential target for developing novel drugs against positive-sense RNA virus infection.

microbiology↗
bioRxiv2024

Spatiotemporal transcriptomic maps of mouse intracerebral hemorrhage at single-cell resolution

Intracerebral hemorrhage (ICH) is a severe and widespread disease that results in high mortality and morbidity. Despite significant advances made in clinical and preclinical research, the prognosis of ICH remains poor due to an incomplete understanding of the complex pathological responses. To address this challenge, we generated single-cell resolution spatiotemporal transcriptomic maps of mouse brain 1, 3, 7, 14, and 28 days after ICH. Our analysis revealed the cellular constituents and their dynamic responses following ICH. We found changes in gene expression that are indicative of active phagocytosis and lipid processing in the lesion core and identified genes associated with brain repair at the lesion border. Persistent lipid accumulation culminated in the phenotypic transition of macrophages into foam cells. Furthermore, our results demonstrate that ICH could stimulate neural stem cells in the subventricular zone, thereby enhancing neurogenesis in this niche. This study provides a spatiotemporal molecular atlas of mouse ICH that advances the understanding of both local and global responses of brain cells to ICH and offers a valuable resource that can aid the development of novel therapies for this devastating condition.

neuroscience↗
bioRxiv2024

Structural basis for CCR6 modulation by allosteric antagonists

The CC chemokine receptor 6 (CCR6) is a potential target for chronic inflammatory diseases such as psoriasis and inflammatory bowel disease. Previously, we reported an active CCR6 structure in complex with its cognate chemokine CCL20, revealing the molecular basis of CCR6 activation mediated by CCL20. Here, we present two inactive CCR6 structures determined by cryo-EM in ternary complexes with different allosteric antagonists, CCR6/SQA1/OXM1 and CCR6/SQA1/OXM2. OXM1 and OXM2 are oxomorpholine (OXM) analogues which are highly selective for CCR6 and disrupt the molecular network critical for receptor activation by binding to an extracellular allosteric pocket within the transmembrane domain. A U-shaped conformation stabilized by intramolecular interactions was revealed by structural and NMR studies of active OXM analogues. SQA1 is a squaramide (SQA) derivative with close-in analogues that were previously reported to be antagonists of CCR6 and other chemokine receptors. Our structures reveal an intracellular pocket occupied by SQA1 that overlaps with the G protein binding site. In addition, SQA1 stabilizes a closed conformation of the intracellular pocket, a hallmark of the inactive state of GPCRs. Minimal communication was found between the two allosteric pockets. Overall, our work provides new evidence of the versatility of GPCR antagonism by small molecules, complementing previous knowledge on CCR6 activation, and sheds light on drug discovery approaches to target CCR6 for autoimmune disorders.

biochemistry↗
bioRxiv2024

Unbiased, Cell-free Profiling of Single Influenza Genomes at High-throughput

The segmented structure of the Influenza A virus (IAV) genome facilitates reassortment, segment exchange during co-infection. When divergent strains mix across human, agricultural, and wildlife reservoirs novel strains are generated, which has been the source of pandemics. Due to the limited throughput and infection-based assays, IAV reassortment studies has been limited to permissive reassortment. We have developed DE-flowSVP to achieve extremely high throughput, direct profiling of as many as 105 IAV particles in a single-day experiment and enabled quantitative profiling of reassortment propensity between divergent strains for the first time. By profiling reassortants between two naturally circulating low-pathogenicity avian IAVs, we confirmed that molecular incompatibility yields strong preference toward within-strain mixing. Surprisingly, we revealed that two-to-three particle aggregation contributed primarily to genome mixing (75-99%), suggesting that aggregation mediated by sialic acid binding by viral surface proteins provides a secondary pathway to genome mixing while avoiding the co-packaging fitness cost. We showed that genome mixing is sensitively dependent on co-infection timing, relative segment abundances, and viral surface-protein background. DE-flowSVP enables large-scale survey of reassortment potential among the broad diversity of IAV strains informing pandemic strain emergence.

molecular biology↗
bioRxiv2024

Multi-omic characterization of allele-specific regulatory variation in hybrid pigs

Genetic variation in the regulation of gene expression contributes substantially to phenotypic variation. Understanding how variation in DNA sequences and epigentic modifications leads to gene expression variation remains a challenging task. In hybrid animals where cellular environments are homogeneous, differences between the expression of paternal and maternal alleles must be due to cis sequence or epigenic differences. Therefore, hybrid mapping is a powerful approach to efficiently identify and characterize genes under regulation through mechanisms in cis. In this study, using reciprocal crosses of the phenotypically divergent Duroc and Lulai pig breeds, we performed a comprehensive multi-omic characterization of regulatory variation across brain, liver, muscle, and placenta in four developmental stages. We produced one of the largest multi-omic datasets to date in pigs, including 16 whole genome sequenced genomes, 48 whole genome bisulfite sequencing, 168 ATAC-Seq and 168 RNA-Seq samples. We developed a novel read count-based method to reliably assess allele-specific methylation, chromatin accessibility, and RNA expression. We showed that tissue specificity was much stronger than developmental stage specificity in all of DNA methylation, chromatin accessibility, and gene expression. We identified 573 genes showing allele specific expression, including those influenced by parent-of-origin as well as allele genotype effects. By integrating methylation, chromatin accessibility, and gene expression data, many of these allele specific expression can be explained by allele specific methylation and/or chromatin accessibility. This study provides one of the most comprehensive characterizations of regulatory variation across multiple tissues and developmental stages in pigs and offers new opportunity of genetic improvement for this important food animal species.

developmental biology↗
bioRxiv2023

eRNA-IDO: a one-stop platform for identification, interactome discovery and functional annotation of enhancer RNAs

Increasing evidence proves the transcription of enhancer RNA (eRNA) and its important role in gene regulation. However, we are only at the infancy stage of understanding eRNA interactions with other biomolecules and the corresponding functionality. To accelerate eRNA mechanistic study, we present the first integrative computational platform for human eRNA identification, interactome discovery, and functional annotation, termed eRNA-IDO. eRNA-IDO comprises two modules: eRNA-ID and eRNA-Anno. Functionally, eRNA-ID identifies eRNAs from de novo assembled transcriptomes. The bright spot of eRNA-ID is indeed the inclusion of 8 kinds of enhancer makers, whose combination enables users to personalize enhancer regions flexibly and conveniently. In addition, eRNA-Anno provides cell/tissue specific functional annotation for any novel and known eRNAs through discovering eRNA interactome from the prebuilt or user-defined eRNA-coding gene networks. The pre-built networks include GTEx-based normal co-expression networks, TCGA-based cancer co-expression networks, and omics-based eRNA-centric regulatory networks. Our eRNA-IDO carries sufficient practicability and significance for understanding the biogenesis and functions of eRNAs. The eRNA-IDO server is freely available at http://bioinfo.szbl.ac.cn/eRNA_IDO/.

bioinformatics↗
bioRxiv2023

A pipeline for constructing reference genomes for large cohort-specific metagenome compression

Metagenomic data compression is very important as metagenomic projects are facing the challenges of larger data volumes per sample and more samples nowadays. The reference-based compression is a promising method to obtain a high compression ratio. However, existing microbial reference genome databases are not suitable to be directly used as references for compression due to their large size and redundancy, and different metagenomic cohorts often have various microbial compositions. We presented a novel pipeline that generated simplified and tailored reference genomes for large metagenomic cohorts, enabling reference-based compression for metagenomic data. We constructed customized reference genomes, ranging from 2.4 to 3.9GB, for 29 real metagenomic datasets, and evaluated their compression performance. Reference-based compression achieved an impressive compression ratio of over 20 for human whole-genome data and up to 33.8 for all samples, demonstrating a remarkably 4.5 times improvement than the standard Gzip compression. Our method provides new insights into reference-based metagenomic data compression and has a broad application potential for faster and cheaper data transfer, storage, and analysis.

genomics↗
bioRxiv2023

Identification of cytokine predominant immunosuppressive class and prognostic risk signatures in glioma

PurposeThe advent of immune checkpoint blockade (ICB) therapies this year has changed the way glioblastoma (GBM) is treated. Meanwhile, some patients with strong PD-L1 expression remain immune checkpoint resistant. To better understand the molecular processes that influence the immune environment, there is an urgent need to characterize the immunosuppressive tumor microenvironment and identify biomarkers to predict patient survival outcomes. Patients and methodsOur study analyzed RNA-sequencing data from 178 GBM samples. Their unique gene expression patterns in the tumor microenvironment were analyzed by an unsupervised clustering algorithm. Through these expression patterns, a panel of T-cell exhaustion signatures, immunosuppressive cells, and clinical features correlates with immunotherapy response. The presence or absence of immune status and prognostic signatures was then validated with the test dataset. Results38.2% of GBM patients showed increased expression of anti-inflammatory cytokines, significant enrichment of T cell exhaustion signals, higher proportion of immunosuppressive cells (macrophages and CD4 regulatory T cells) and nine inhibitory checkpoints (CTLA4, PDCD1, LAG3, BTLA, TIGIT, HAVCR2, IDO1, SIGLEC7, and VISTA). The immunodepleted class (IDC) was used to classify these immunocompromised individuals. Despite the high density of tumor-infiltrating lymphocytes shown by IDC, such patients have a poor prognosis. Although PD-L1 was highly expressed in IDC, it suggested that there might be ICB resistance. There are many IDC predictive signatures to discover. ConclusionPD-1 is strongly expressed in a novel immunosuppressive class of GBM, but this cluster may be resistant to ICB therapy. A comprehensive description of this drug-resistant tumor microenvironment could provide new insights into drug resistance mechanisms and improved immunotherapy techniques.

immunology↗
bioRxiv2023

xQTLbiolinks: a comprehensive and scalable tool for integrative analysis of molecular QTLs

Genome-wide association studies (GWAS) have identified thousands of disease-associated non-coding variants, posing urgent needs for functional interpretation. Molecular quantitative trait loci (xQTLs) such as eQTLs serve as an essential intermediate link between these non-coding variants and disease phenotypes and have been widely used to discover disease-risk genes from many population-scale studies. However, mining and analyzing the xQTLs data presents several significant bioinformatics challenges, particularly when it comes to integration with GWAS data. Here, we developed xQTLbiolinks as the first comprehensive and scalable tool for xQTLs data retrieval, quality controls, and pre-processing from 75 human tissues and cell types. In addition, xQTLbiolinks provided a robust colocalization module through integration with GWAS data. The result generated by xQTLbiolinks can be flexibly visualized or stored in standard R objects that can easily be integrated with other R packages and custom pipelines. We applied xQTLbiolinks to cancer GWAS summary statistics as case studies and demonstrated its robust utility and reproducibility. xQTLbiolinks will profoundly accelerate the interpretation of disease-associated variants, thus promoting a better understanding of disease etiologies. xQTLbiolinks is available at https://github.com/lilab-bioinfo/xQTLbiolinks.

bioinformatics↗
bioRxiv2023

Pronoun resolution via reinstatement of referent-related activity in the delta band

Human language offers a variety of ways to create meaning, one of which is referring to entities, objects, or events in the world. One such meaning maker is understanding to whom or to what a pronoun in a discourse refers to. To understand a pronoun, the brain must access matching entities or concepts that have been encoded in memory from previous linguistic context. Models of language processing propose that internally stored linguistic concepts, accessed via exogenous cues such as phonological input of a word, are represented as (a)synchronous activities across a population of neurons active at specific frequency bands. Converging evidence suggests that delta band activity (1-3Hz) is involved in temporal and representational integration during sentence processing. Moreover, recent advances in the neurobiology of memory suggest that recollection engages reinstatement of neural dynamics that occurred during memory encoding. Integrating from these two research lines, we here predicted that neural dynamic patterns, especially in delta frequency range, underlying referential meaning representation would be reinstated during pronoun resolution. By leveraging neural decoding techniques (i.e., representation similarity analysis) on a magnetoencephalogram (MEG) dataset acquired during a naturalistic story-listening task, we provide evidence that delta-band activity underlies referential meaning representation. Our findings suggest that, during spoken language comprehension, endogenous linguistic representations such as referential concepts may be retrieved and represented via reinstatement of dynamic neural patterns.

neuroscience↗
bioRxiv2022

Bright and sensitive red voltage indicators for imaging action potentials in brain slices and pancreatic islets

As fast developing tools for observing cellular membrane potential, red-emitting genetically encoded voltage indicators (GEVIs) reduce auto-fluorescence background, allow multiplexed recordings, and enable all-optical electrophysiology, but have been limited by either insensitivity or dimness. Here, we report a pair of red GEVIs, Cepheid1b/s, with improved sensitivity, brightness, and photostability. Cepheid1 indicators faithfully report cellular excitability in pancreatic islets and neural activity in acute brain slices.

neuroscience↗
bioRxiv2022

Nucleotide resolution genetic mapping in pigs by publicly accessible whole genome imputation

Genetic mapping to identify genes and alleles associated with or causing economically important quantitative trait variation in livestock animals such as pigs is a major goal in the genetic improvement animals. Despite recent advances in high throughput genotyping technologies, resolution of genetic mapping in pigs remains poor due in part to the low density of genotyped variant sites. In this study, we overcame this limitation by developing a reference haplotype panel for pigs based on 2,259 whole genome sequenced animals representing 44 pig breeds. We optimized the imputation procedure to achieve an average concordance rate in excess of 97%, non-reference concordance rate 91%, and r2 0.89. We demonstrated that genotype imputation using this resource can dramatically improve resolution of genetic mapping. Finally, we developed a public web server (swimgeno.org) to allow the pig genetics community to fully utilize this resource. We expect the resource and server to significantly facilitate genetic mapping and accelerate genetic improvement in pigs.

genomics↗
bioRxiv2022

Novel MBLs inhibitors screened from FDA-approved drug library restore the susceptibility of carbapenems to NDM-1-harbouring bacteria

The production of metallo-{beta}-lactamases (MBLs) is one of the major mechanisms adopted by bacterial pathogens to resist carbapenems. One promising strategy to overcome MBLs-mediated carbapenems resistance is to develop effective inhibitors. Repurposing approved drugs to restore the efficacy of carbapenems represents an efficient and cost-effective approach to fight infections caused by carbapenem resistant pathogens. Here, twelve FDA-approved compounds were screened to neutralize the ability of NDM-1. Among these compounds, dexrazoxane, embelin, candesartan cilexetil (CAN) and nordihydroguaiaretic acid (NDGA) were further demonstrated to inhibit all tested MBLs, and showed an in vitro synergistic bactericidal effect with meropenem against MBLs-producing bacteria. Mechanistic studies revealed that dexrazoxane, embelin and CAN are metal ion chelating agents, while the inhibition of NDM-1 by NDGA involves its direct binding with the active region of NDM-1. Furthermore, dexrazoxane, embelin and CAN and NDGA dramatically rescued the treatment efficacy of meropenem in three infection models. Our observations indicated that dexrazoxane, embelin, CAN and NDGA are promising carbapenem adjuvants against MBLs-positive carbapenem resistant bacterial pathogens.

microbiology↗
bioRxiv2021

Zinc finger protein Zfp335 controls early T cell development and survival through beta-selection-dependent and -independent mechanisms

T cell development in the thymus undergoes the process of differentiation, selective proliferation and survival from CD4-CD8- double negative (DN) stage to CD4+CD8+ double positive (DP) stage prior to the formation of CD4+ helper and CD8+ cytolytic T cells ready for circulation. Each developmental stage is tightly regulated by sequentially-operating molecular networks, of which only limited numbers of transcription regulators have been deciphered. Here we identified Zfp335 transcription factor as a new player in the regulatory network controlling thymocyte development. We demonstrate that Zfp335 intrinsically controls DN to DP transition, as T cell-specific deficiency in Zfp335 leads to a substantial accumulation of DN3 along with reduction of DP, CD4+ and CD8+ thymocytes. This developmental blockade at DN stage results from the impaired intracellular TCR{beta} expression as well as increased susceptibility to apoptosis in thymocytes. Transcriptomic and ChIP-seq analyses revealed a direct regulation of transcription factors Bcl6 and Rorc by Zfp335. Importantly, enhanced expression of TCR{beta} and Bcl6/Ror{gamma}T restores the developmental defect during DN3 to DN4 transition and improves thymocytes survival, respectively. These findings identify a critical role of Zfp335 in controlling T cell development by maintaining intracellular TCR{beta} expression-mediated {beta}- selection and independently activating cell survival signaling.

immunology↗
bioRxiv2021

Plasticity in stomatal behavior across a gradient of water supply is consistent among field-grown maize inbred lines with varying stomatal patterning

Stomata regulate leaf CO2 assimilation (A) and water loss. The Ball-Berry and Medlyn models predict stomatal conductance (gs) with a slope parameter (m or g1) that reflects sensitivity of gs to A, atmospheric CO2 and humidity, and is inversely related to water use efficiency (WUE). This study addressed knowledge gaps about what the values of m and g1 are in C4 crops under field conditions, as well as how they vary among genotypes and with drought stress. m and g1 were unexpectedly consistent in four inbred maize genotypes across a gradient of water supply. This was despite genotypic variation in stomatal patterning, A and gs. m and g1 were strongly correlated with soil water content, moderately correlated with pre-dawn leaf water potential ({Psi}pd), and weakly correlated with midday leaf water potential ({Psi}md). This implied that m and g1 respond to long-term water supply more than short-term drought stress. The conserved nature of m and g1 across anatomically diverse genotypes and water supplies suggests there is flexibility in structure-function relationships underpinning WUE. This evidence can guide simulation of maize gs across a range of water supply in the primary maize growing region and inform efforts to improve WUE. Summary statementParameter values for models simulating stomatal conductance were unexpectedly consistent for anatomically and physiologically diverse genotypes of the model C4 crop maize when they were grown across a range of water supplies in the field.

plant biology↗
bioRxiv2021

The cause of on-target point mutations generated by CRISPR-Cas9 treatment in the yeast Xanthophyllomyces dendrorhous

Recognizing outcomes of DNA repair induced by CRISPR-Cas9 cutting is vital for precise genome editing. Reported DNA repair outcomes after Cas9 cutting include deletions/insertions and low frequency of genomic rearrangements and nucleotide substitutions. Thus far, substitution mutations caused by CRISPR-Cas9 has not attracted much attention. Here, we identified on-target point mutations induced by CRISPR-Cas9 treatment in the yeast Xanthophyllomyces dendrorhous by Sanger and Illumina sequencing. Different from previous studies, our findings suggested that the on-target mutations are not random and they cannot render the gRNA effective. Moreover, these point mutations showed strong sequence dependence that is not consistent with the observations in Hela cells, in which CRISPR-mediated substitutions were considered lacking sequence dependence and conversion preferences. Furthermore, this study demonstrated that the NHEJ components Ku70, Ku80, Mre11, or RAD50, and the overlapping roles of non-essential DNA polymerases were necessary for the emergence of point mutations, increasing the knowledge on CRISPR-Cas9 mediated DNA repair.

microbiology↗
bioRxiv2021

1,25(OH)2D3 attenuates hepatic insulin resistance in rats with streptozotocin -induced diabetes via antioxidation

AimThis study was conducted to explore the mechanism by which 1,25(OH)2D3 ameliorates hepatic insulin resistance in rats with streptozotocin (STZ)-induced type 2 diabetes. MethodsSprague Dawley (SD) rats were randomly divided into five groups: normal, control, and 1,25(OH)2D3 administered at 0.075, 0.15, and 0.3 g/kg/d. Tissue and blood samples were obtained from all five groups after 4 and 12 weeks of treatment. Morphological changes in the livers were observed with HE staining. The levels of fasting blood glucose (FBG), insulin, and lipids were determined using an automatic biochemistry analyzer. The levels of hepatic glycogen, superoxide dismutase (SOD), malondialdehyde (MDA), aspartate aminotransferase (AST), and alanine aminotransferase (ALT) were analyzed by spectrophotometry. Protein expression of AKT and GLUT2 was examined by western blotting. Results1,25(OH)2D3 treatment reduced the FBG content as well as hepatic MDA, AST, and ALT levels, improved the activity of SOD, and enhanced the expression of GLUT2 and AKT in diabetic rats. These findings suggest that 1,25(OH)2D3, exerts antioxidant effects and ameliorates insulin resistance in the liver. Conclusion1,25(OH)2D3 is a potential agent that could be used in the treatment of insulin resistance in the liver.

pharmacology and toxicology↗