Biology subjects

Li, R.

Publications and source records attributed to Li, R..

At least 379 records · Page 21Linked to original sources

bioRxiv2022

Hyperuricemia triggers Renal Tubular Epithelial Pyroptosis by using ROS to activate the NLRP3 inflammasome

Renal injury resulting from hyperuricemia has gained a lot of interest. Pyroptosis refers to inflammatory cell death. The activated caspase-1 cleavage, and the pivotal protein - GSDMD could have an association with the hyperuricemic kidney lesion pathogenesis. ROS is a vital NLRP3 inflammasome antagonist in various cells. We investigated the mechanism through which ROS stimulates NLRP3 to modulate pyroptosis in renal tubular epithelial cells as well as hyperuricemic rat kidneys. MethodsIn vitro cultured renal tubular epithelial cells (NRK-52E cells) were incubated with a gradient concentration of uric acid for 24 hr to investigate the pyroptosis through flow cytometry. Next, we used the inhibitors of ROS, mitochondrial ROS, NLRP3 and Caspase-1 respectively to intervene in uric acid treated cells to analyse pyproptosis and activation of ROS- NLRP3 inflammasome signal pathway. Finally, we evaluated the mechanism of hyperuricemia triggering renal tubular epithelial pyroptosis in rat kidney tissues. ResultsThe levels of ROS and mitochondrial ROS, the mRNA and protein expression of pyroptosis-associated factors Caspase-1 (p45, p20/10), NLRP3, and GSDMD were upregulated in uric acid, the induced NRK-52E cells as well as hyperuricemic model kidneys. The inhibition of ROS, mitochondrial ROS, NLRP3, or caspase-1 in the uric acid-induced NRK-52E cells may help in controlling pyroptosis. The expression of mRNA and protein by the cytokines IL-18 and IL-1{beta} also increased. ConclusionsGenerally, hyperuricemia triggered renal tubular epithelial pyroptosis via excessive ROS to modulate NLRP3 inflammasome activation in uric acid stimulated renal tubular epithelial cells as well as the oxonic acid potassium induced hyperuricemia.

pathology↗

bioRxiv2022

Single-cell multiome of the human retina and deep learning nominate causal variants in complex eye diseases

Genome-wide association studies (GWAS) of eye disorders have identified hundreds of genetic variants associated with ocular disease. However, the vast majority of these variants are noncoding, making it challenging to interpret their function. Here, we present a joint single-cell atlas of gene expression and chromatin accessibility of the adult human retina with >50,000 cells, which we used to analyze noncoding single-nucleotide polymorphisms (SNPs) implicated by GWAS of age-related macular degeneration, glaucoma, diabetic retinopathy, myopia, and type 2 macular telangiectasia. We integrate this atlas with a HiChIP enhancer connectome, expression quantitative trait loci (eQTL) data, and base-resolution deep learning models to predict noncoding SNPs with causal roles in eye disease, assess SNP impact on transcription factor binding, and define their known and novel target genes. Our efforts nominate pathogenic SNP-target gene interactions for multiple vision disorders and provide a potentially powerful resource for interpreting noncoding variation in the eye.

genomics↗

bioRxiv2022

On-chip engineered human lymphatic microvasculature for physio-/pathological transport phenomena studies

The human vasculature constitutes an integral part of fluid, protein and cellular transport throughout a variety of physiological processes and pathological events. While the blood vascular system has been the topic of numerous studies in connection to its role in physio-/pathological transport phenomena, our secondary vascular system, the lymphatics, has yet to gain similar attention, in part due to a lack of adequate models to study its biological function. Despite their considerable value, animal models limit the ability to perform parametric studies, whereas current in vitro systems are lacking in physiological mimicry. Here, a microfluidic-based approach is developed that allows for precise control over the transport of growth factors and interstitial fluid flow, which we leverage to recapitulate the in vivo growth of lymphatic capillaries. Using this approach, physiological tissue functionality is validated by characterizing the drainage rate of extracellular solutes and proteins. Finally, lymphatic-immune interactions are studied to affirm inflammation-driven responses by the lymphatics, which recruit immune cells via chemotactic signals, similarly to in vivo, pathological events. Results demonstrate the utility of this platform to study lymphatic biology and disease, as well as use as a screening assay to predict lymphatic absorption of therapeutic biologics.

bioengineering↗

bioRxiv2022

Engineering bacterial blight-resistant plants through CRISPR/Cas9-targeted editing of the MeSWEET10a promoter in cassava

Cassava starch is a widely used raw materials for industrial production. However, cassava bacterial blight (CBB) caused by Xanthomonas axonopodis pv. manihotis (Xam) results in severe yield losses and is the most destructive bacterial disease in all worldwide cassava planting regions. This study showed that editing of the promoter in the disease-susceptibility gene MeSWEET10a of SC8 cassava confers resistance to CBB. All mutated cassava lines had normal morphological and yield-related traits as the wild type. The results lay a research foundation for breeding cassava resistant to bacterial blight. HighlightsMeSWEET10a gene in SC8 cultivar is hijacked by TALE20 from Xam11 strain. Editing of the MeSWEET10a promoter in SC8 cultivar confers resistance to CBB. All the mutated cassava lines had similar yield-related traits compared to wild-type.

plant biology↗

bioRxiv2022

Neonatal Peyer's patch cDC activation as a pacemaker of postnatal immune maturation

Marked differences exist between the mucosal immune system of the neonate and adult host. The pronounced influence of the enteric microbiota in adults suggests a causal relationship between postnatal colonization and immune maturation. However, using metagenomic, metaproteomic, and functional immunological analyses we demonstrate an early presence of bacteria and immunogenic microbial antigens preceding immune maturation in the small intestine, the primary inductive site of intestinal immunity. Instead, transcriptomic, flow cytometric and histological analysis indicated neonatal Peyers patch (PP) mononuclear phagocytes (MNP) as rate limiting factor of postnatal immune maturation. Despite the early presence of MNPs, conventional dendritic cells (cDC) of type 1, 2a and 2b exhibited significant age-dependent differences in tissue distribution and cellular composition. Single cell transcriptional profiling and functional assays revealed decreased antimicrobial and antigen processing/presentation capacity, an overall retarded cell maturation and reduced antigen uptake. In cDC2a this resulted in a reduced proportion of CCR7+ migratory cells and a consequent defect in CD4 T cell priming. Interestingly, transcriptional profiling of neonatal DC subsets identified reduced expression of type I interferon (IFN)-stimulated genes (ISG). Type I IFN induction by oral administration of the TLR7 agonist R848 accelerated MNP maturation and enhanced cognate antigen CD4 T cell priming. However, humoral responses to oral vaccination in the presence of R848 were significantly reduced. Together, our results identify PP MNP maturation as pacemaker of postnatal mucosal immune priming, indicate the biological role of delayed maturation and demonstrate that targeted interventional strategies allow manipulation of mucosal responses in early life.

immunology↗

bioRxiv2022

Inserting Cre Recombinase into the Prolactin 8a2 gene for Decidua-Specific recombination in Mice

An estimated 75% of unsuccessful pregnancies are due to implantation failure. Investigating the causes of implantation failure is difficult as decidualization and embryo implantation is a dynamic process. Here we describe a new decidua specific iCre recombinase mouse strain. Utilizing CRISPR/Cas9-based genome editing, a mouse strain was developed that expresses iCre recombinase under the control of the endogenous prolactin family 8, subfamily a, member 2 (Prl8a2) promoter. iCre recombinase activity was examined by crossing with mTmG or Sun1-GFP reporter alleles. iCre activity initiated reporter expression at gestational day 5.5 in the primary decidual zone and continued into mid-gestation (gestational day 9.5), with expression highly concentrated in the anti-mesometrial region. No reporter expression was observed in the ovary, oviduct, pituitary, or skeletal muscle, supporting the tissue specificity of the Prl8a2iCre in the primary decidual zone. This novel iCre line will be a valuable tool for in vivo genetic manipulation and lineage tracing to investigate functions of genetic networks and cellular dynamics associated with decidualization and infertility.

genetics↗

bioRxiv2022

Evaluation of the anti-tumor activities of Sulfonylurea Derivatives

This study prepared 25 sulfonylurea compounds to evaluate anti-tumor activity. Through experimental investigations in MDA-MB-231 and MCF-7, i.e., cell lines of breast carcinoma of human, we have concluded that some compounds can significantly suppress breast carcinoma cells from growing and proliferating. Moreover, the compound Ms inhibitory effect on cells of breast carcinoma is concentration-dependent under a certain treatment time; and the inhibitory effect of the compound M on breast carcinoma cells is time-dependent under a certain concentration. In addition, we also found that the compound M can effectively suppress cells of breast carcinoma from migration and independent survival. The results can show the prospect of research and development of new breast carcinoma treatment drug.

biochemistry↗

bioRxiv2022

Two-photon patterned photostimulation with low-power, high-efficiency and reliable single-cell optogenetic control

Two-photon optogenetics enables selectively stimulating individual cells for manipulating neuronal ensembles. As the general photostimulation strategy, the patterned two-photon excitation has enabled millisecond-timescale activation for single or multiple neurons, but its activation efficiency is suffered from high laser power due to low beam-modulation efficiency. Here, we develop a high- efficiency beam-shaping method based on the Gerchberg-Saxton (GS) algorithm with spherical-distribution initial phase (GSSIP) to reduce the patterned two-photon excitation speckles and intensity. It can well control the phase of shaped beams to attain speckle-free accurate patterned illumination with an improvement of 44.21% in the modulation efficiency compared with that of the traditional GS algorithm. A combination of temporal focusing and the GSSIP algorithm (TF-GSSIP) achieves patterned focusing through 500-m-thickness mouse brain slices, which is 2.5 times deeper than the penetration depth of TF-GS with the same signal-to-noise ratio (SNR). With our method, the laser power can be reduced to only 55.56% of that with traditional method (the temporal focusing with GS, TF-GS) to reliably evoke GCaMP6s response in C1V1-expressing cultured neurons with single-cell resolution. Besides, the photostimulation efficiency is remarkably increased by 80.19% at the same excitation density of 0.27 mW/m2. This two-photon stimulation method with low-power, reliable and patterned illumination may pave the way for analyzing neural circuits and neural coding and decoding mechanism.

neuroscience↗

bioRxiv2022

Core Microbiota Drive the Prevalence of Extracellular Antibiotic Resistome in the Water Compartments

Unlike intracellular chromosome, extracellular DNA (eDNA) may accelerate the spreading of antibiotic resistance genes (ARGs) through natural transformation, but one of the core issues regarding to the bacterial taxonomic characterization of eDNA in the complex water environments is largely unknown. Hence, Illumina Miseq sequencing was used to identify the genotype of eDNA from wastewater (WW), river water (RW) and stormwater (SW) runoff. High-throughput qPCR targeting 384 genes was implemented to detect extracellular ARGs (eARGs) and mobile genetic elements (eMGEs). We obtained 2,708,291 high quality sequences from 66 eDNA samples. The SW exhibited the significant higher Shannon Index. Subsequently, we identified 34 core bacteria sources of eDNA widely distributed in the three water compartments. Among which, Pseudomonas, Flavobacterium, Limnohabitans, Burkholderiaceae_unclassified, Methylotenera and Acinetobacter were the most prevalent. A total of 302 eARGs and eMGEs were detected, suggesting that eDNA is an important antibiotic resistance reservoir. Among the 127 shared genes of the three groups, 15 core resistance genes were filtered, including IS6100, sul1 NEW, intI1, ISPps1-pseud, aac3-Via, qacH_351 and ISSm2-Xanthob. The Procrustes analysis and Variance Partitioning Analysis (VPA) demonstrated that core bacteria and MGEs were significantly correlated with eARGs. These results suggested that the occurrence and changes of eARGs in the water compartments may be largely attributed to the core microbiota and eMGEs. SynopsisThe identification of bacterial taxa of extracellular DNA is the preliminary issue for the natural transformation of extracellular antibiotic resistome.

microbiology↗

bioRxiv2021

The first sheep graph pan-genome reveals the spectrum of structural variations and their effects on different tail phenotypes

Structural variations (SVs) are a major contributor to genetic diversity and phenotypic variations, but their prevalence and functions in domestic animals are largely unexplored. Here, we assembled 26 haplotype-resolved genome assemblies from 13 genetically diverse sheep using PacBio HiFi sequencing. We constructed a graph-based ovine pan-genome and discovered 142,422 biallelic insertions and deletions, 7,028 divergent alleles and 13,419 multiallelic variations. We then used a graph-based approach to genotype the biallelic SVs in 684 individuals from 45 domestic breeds and two wild species. Integration with RNA-seq data allows to identify candidate expression-associated SVs. We demonstrate a direct link of SVs and phenotypes by localizing the putative causative insertion in HOXB13 gene responsible for the long-tail trait and identifying multiple large SVs associated with the fat-tail. Beyond generating a benchmark resource for ovine structural variants, our study highlights that animal genetic research will greatly benefit from using a pan-genome graph rather than a single reference genome.

genomics↗

bioRxiv2021

Multi-omics Analyses Provides Insight into the Biosynthesis Pathways of Fucoxanthin in Isochrysis galbana

Isochrysis galbana is considered an ideal bait for functional foods and nutraceuticals in humans because of its high fucoxanthin (Fx) content. However, multi-omics analysis of the regulation networks for Fx biosynthesis in I. galbana has not been reported. In this study, we report a high-quality genome sequence of I. galbana LG007, which has a 92.73 Mb genome size, with a contig N50 of 6.99 Mb and 14,900 protein-coding genes. Phylogenomic inferences confirmed the monophyly of Haptophyta, with I. galbana sister to Emiliania huxleyi and Chrysochromulina tobinii. Evolutionary analysis revealed an estimated divergence time between I. galbana and E. huxleyi of ~ 133 million years ago (Mya). Gene family analysis indicated that lipid metabolism-related genes exhibited significant expansion, including IgPLMT, IgOAR1 and {Delta}-4 desaturase. Metabolome analysis showed that the content of carotenoid in I. galbana cultured under green light for 7 days was higher than that of white light, and {beta}-carotene was the main carotenoids, accounting for 79.09% of the total carotenoids. Comprehensive analysis of multi-omics analysis revealed that {beta}-carotene, antheraxanthin, zeaxanthin, and Fx content was increased by green light induction, which was significantly correlated with the expression of IgMYB98, IgZDS, IgPDS, IgLHCX2, IgZEP, IgLCYb, and IgNSY. These findings contribute to understanding Fx biosynthesis and its regulation, providing a valuable reference for food and pharmaceutical applications.

bioinformatics↗

bioRxiv2021

Multi-regional characterisation of renal cell carcinoma and microenvironment at single cell resolution

Tumour behaviour is dependent on the oncogenic properties of cancer cells and their multicellular interactions. These dependencies were examined through 270,000 single cell transcriptomes and 100 micro-dissected whole exomes obtained from 12 patients with kidney tumours. Tissue was sampled from multiple regions of tumour core, tumour-normal interface, normal surrounding tissues, and peripheral blood. We found the principal spatial location of CD8+ T cell clonotypes largely defined exhaustion state, with clonotypic heterogeneity not explained by somatic intra-tumoural heterogeneity. De novo mutation calling from single cell RNA sequencing data allows us to lineagetrace and infer clonality of cells. We discovered six meta-programmes that distinguish tumour cell function. An epithelial-mesenchymal transition meta-programme, enriched at the tumour-normal interface appears modulated through macrophage expressed IL1B, potentially forming a therapeutic target. Single sentence summaryKidney cancer evolution, prognosis and therapy are revealed by a single cell multi-regional study of the microenvironment.

genomics↗

bioRxiv2021

Spatiotemporal mapping of gene expression landscapes and developmental trajectories during zebrafish embryogenesis

Vertebrate embryogenesis is a remarkably dynamic process during which numerous cell types of different lineages generate, change, or disappear within a short period of time. A major challenge in understanding this process is the lack of topographical transcriptomic information that can help correlate microenvironmental cues within the hierarchy of cell fate decisions. Here, we employed Stereo-seq, a high-definition spatially resolved transcriptomic technology, to dissect the spatiotemporal dynamics of gene expression and regulatory networks in the developing zebrafish embryos. We profiled 91 embryo sections covering six critical time points during the first 24 hours of development, obtaining a total of 139,391 spots at cellular size ([~]100 m2) with spatial coordinates. Meanwhile, we identified spatial modules and co-varying genes for specific tissue organizations. By performing the integrative analysis of the Stereo-seq and scRNA-seq data from each time point, we reconstructed the spatially resolved developmental trajectories of cell fate transitions and molecular changes during zebrafish embryogenesis. We further investigated the spatial distribution of ligand-receptor pairs for major signaling pathways and identified novel interactions that potentially crosstalk with the Notch signaling pathway during zebrafish development. Our study constitutes a fundamental reference for further studies aiming to understand vertebrate development.

developmental biology↗

bioRxiv2021

An internal expectation guides Drosophila egg-laying decisions

When presented with two egg-laying substrates, Drosophila lay most of their eggs on the option with higher relative value. How do flies make this relative-value decision? Might the strategy they use allow them to choose the best option even when they experience substrates with a more complex spatiotemporal profile than in canonical two-choice paradigms? We measured Drosophila egg-laying behavior in diverse substrate environments. In all cases, we found that flies dynamically increase or decrease their egg-laying rates as they explore substrates for a deposition site so as to target eggs to the best, recently visited option. Visiting the best option typically led to a strong reduction in egg laying on other substrates for several minutes, with this timescale varying across fly strains. Our data support a model in which flies compare the value of the current substrate with an internally constructed expectation on the value of available options to regulate the likelihood of laying an egg. We show that dopamine-neuron activity is critical for learning and/or expressing this expectation, similar to its role in certain tasks in vertebrates. Integrating sensory experiences over minutes to generate an internal sense of the quality of available options, i.e., forming an expectation, allows flies to use a dynamic reference point for judging the current substrate and might be a general way in which decisions are made, even beyond flies and egg laying.

neuroscience↗

bioRxiv2021

Assessing computational variant effect predictors with a large prospective cohort

BackgroundCausal gene/trait relationships can be identified via observation of an excess (or reduced) burden of rare variation in a given gene within humans who have that trait. Although computational predictors can improve the power of such burden tests, it is unclear which are optimal for this task. MethodUsing 140 gene-trait combinations with a reported rare-variant burden association, we evaluated the ability of 20 computational predictors to predict human traits. We used the best-performing predictors to increase the power of genome-wide rare variant burden scans based on [~]450K UK Biobank participants. ResultsTwo predictors--VARITY and REVEL--outperformed all others in predicting human traits in the UK Biobank from missense variation. Genome-scale burden scans using the two best-performing predictors identified 1,038 gene-trait associations (FDR < 5%), including 567 (55%) that had not been previously reported. We explore 54 cardiovascular gene-trait associations (including 15 not reported in other burden scans) in greater depth. ConclusionsRigorous selection of computational missense variant effect predictors can improve the power of rare-variant burden scans for human gene-trait associations, yielding many new associations with potential value in informing mechanistic understanding and therapeutic development. The strategy we describe here is generalizable to future computational variant effect predictors, traits and organisms.

systems biology↗

bioRxiv2021

m6A modifications regulate intestinal immunity and rotavirus infection

N6-methyladenosine (m6A) is an abundant mRNA modification and affects many biological processes. However, how m6A levels are regulated during physiological or pathological processes such as virus infections, and the in vivo function of m6A in the intestinal immune defense against virus infections are largely unknown. Here, we uncover a novel antiviral function of m6A modification during rotavirus (RV) infection in small bowel intestinal epithelial cells (IECs). We found that rotavirus infection induced global m6A modifications on mRNA transcripts by down-regulating the m6a eraser ALKBH5. Mice lacking the m6A writer enzymes METTL3 in IECs (Mettl3{Delta}IEC) were resistant to RV infection and showed increased expression of interferons (IFNs) and IFN-stimulated genes (ISGs). Using RNA-sequencing and m6A RNA immuno-precipitation (RIP)-sequencing, we identified IRF7, a master regulator of IFN responses, as one of the primary m6A targets during virus infection. In the absence of METTL3, IECs showed increased Irf7 mRNA stability and enhanced type I and III IFN expression. Deficiency in IRF7 attenuated the elevated expression of IFNs and ISGs and restored susceptibility to RV infection in Mettl3{Delta}IEC mice. Moreover, the global m6A modification on mRNA transcripts declined with age in mice, with a significant drop from 2 weeks to 3 weeks post birth, which likely has broad implications for the development of intestinal immune system against enteric viruses early in life. Collectively, we demonstrated a novel host m6A-IRF7-IFN antiviral signaling cascade that restricts rotavirus infection in vivo.

immunology↗

bioRxiv2021

Isolation, identification and molecular characterization of Aeromonas spp. from farmed loach (Misgurnus anguillicaudatus)

Gram-negative Aeromonas bacteria is known to contaminate aquaculture products and retains the ability to infect wide range of host including fishes, shrimps and humans. This study is designed to evaluate the presence of Aeromonas in healthy loaches (Misgurnus anguillicaudatus) collected from the markets in Hainan and Guangdong provinces of China. Based on the molecular sequencing and phylogenetic analysis with single 16S rRNA and concatenated genes (gyrA and ropD), 104 isolates were identified as Aeromonas species followed by further classification to A. veronii (83.65%), A. jandaei (9.62%), A. hydrophila (3.85%) and A. allosaccharophila (2.88%). More than half of the isolates displayed hemolytic activity of 87.5% and were able to form moderate biofilm (78.26%). Fourteen antibiotics from ten representative classes were screened that demonstrated complete resistance to ampicillin, 89.4% and 68.3% to lincomycin and nalidixic acid. Moreover, a notable detection and prevalence was found in screening of ten virulence-related and nine resistance genes. To our knowledge, it is the first report of its kind demonstrating potential threat of the commercial loaches carrying Aeromonas to human health. These findings will assist professionals working in clinical settings to optimize their prescription accordingly and researchers to access the impacts of Aeromonas resistance on human health. ImportanceThis study demonstrates high infection rate of loaches by Aeromonas spp. in Hainan and Guangdong provinces of China. The most prevalent species was Aeromonas veronii. Most of the isolates displayed hemolytic activity and formed moderate biofilm. Multiple virulence genes, resistance genes and multi-antibiotic resistance were detected. Aeromonads risks should be considered in loach industry.

microbiology↗

bioRxiv2021

LIFE-Seq: A universal Large Integrated DNA Fragment Enrichment Sequencing strategy for transgene integration in genetically modified organisms

Molecular characterisation of genetically modified organisms (GMOs) yields basic information on exogenous DNA integration, including integration sites, entire inserted sequences and structures, flanking sequences and copy number, providing key data for biosafety assessment. However, there are few effective methods for deciphering transgene integration, especially for large DNA fragment integration with complex rearrangement, inversion, and tandem repeats. Herein, we developed a universal Large Integrated DNA Fragments Enrichment strategy combined with PacBio Sequencing (LIFE-Seq) for deciphering transgene integration in GMOs. Universal tilling DNA probes targeting transgenic elements and exogenous genes facilitate specific enrichment of large inserted DNA fragments associated with transgenes from plant genomes, followed by PacBio sequencing. LIFE-Seq were evaluated using six GM events and four crop species. Target DNA fragments averaging [~]6275 bp were enriched and sequenced, generating [~]26,352 high fidelity reads for each sample. Transgene integration structures were determined with high repeatability and sensitivity. Compared with whole-genome sequencing, LIFE-Seq achieved better data integrity and accuracy, greater universality, and lower cost, especially for transgenic crops with complex inserted DNA structures. LIFE-Seq could be applied in molecular characterisation of transgenic crops and animals, and complex DNA structure analysis in genetics research.

plant biology↗