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Sun, D.

Publications and source records attributed to Sun, D..

At least 73 records · Page 4Linked to original sources

Establishing remote communication between human operator and engineered intestinal microbe via bio-electronic optical language

Synthetic biology enables microbes to be engineered to detect biomarkers and deliver therapies in situ, offering advantages such as self-replication and localized response and treatment. However, the engineered microbes in the intestine remains a "black box", the status of microbial functionality is inaccessible, and the activation of microbial functions is uncontrollable. There is a demand of a "language" between microbes and human for real-time and in-situ monitoring and controlling engineered microbes in the intestine. Light, due to its advantages of specificity and accuracy in the body, was chosen as the language to establish an interactive communication path between human and the microbes with the features of sophisticated monitoring and controlling. For effectively remote operation of this "language" in the intestine, we introduced an electronic capsule as the intermedia, translating information and instructions understandable for human operator into bacterial regulatory and detectable signals in vivo. In this paper, the electronic capsule and the engineered Escherichia coli Nissle 1917 (EcN) strains were designed in a collaborative manner. An EcN-to-capsule bioluminescent signal transmission was established and testified as the language to report the status of engineered EcN, especially the response of EcN to intestinal environment. Similarly, another capsule-to-EcN optogenetic signal transmission was established and testified as the language to control the function of engineered EcN, especially the secretion of therapeutic substances. On this basis, bidirectional communication between human operator and intestinal microbes was achieved via bidirectional bio-electronic optical language. The communication was established to monitor and regulate engineered EcN community in the intestine in 50-90 kg live pigs. The in vitro and in vivo estimations demonstrated the capabilities of monitoring and regulating the engineered microbes, offering a remotely controllable language-based communication between human operator and internal intestinal microbes.

synthetic biology↗

Enhanced Recognition of a Herbal Compound Epiberberine by a DNA Quadruplex-Duplex Structure

The small molecule epiberberine (EPI) is a natural alkaloid with versatile bioactivities against several diseases, including cancer and bacterial infection. EPI can induce the formation of a unique binding pocket at the 5' side of a human telomeric G-quadruplex (HTG) sequence Q4, resulting in a nanomolar binding affinity (KD approximately 26 nM) with significant fluorescence enhancement upon binding. It is important to understand (1) how EPI binding affects HTG structural stability and (2) how enhanced EPI binding may be achieved through the engineering of the DNA binding pocket. In this work, the EPI binding-induced HTG structure stabilization effect was probed by a peptide nucleic acid (PNA) invasion assay in combination with a series of biophysical techniques. We show that the PNA invasion-based method may be useful for the characterization of compounds binding to DNA (and RNA) structures in physiological conditions without the need to vary the solution temperature or buffer components, which are typically needed for structural stability characterization. Importantly, the combination of theoretical modeling and experimental quantification allows us to successfully engineer the Q4 derivative Q4-ds-A by a simple extension of a duplex structure to Q4 at the 5' end. Q4-ds-A is a superb EPI binder with a KD of 8 nM, with the binding enhancement achieved through the preformation of a binding pocket and a reduced dissociation rate. The tight binding of Q4 and Q4-ds-A with EPI allows us to develop a novel magnetic bead-based affinity purification system to effectively extract EPI from Rhizoma coptidis (Huang Lian) extracts.

biochemistry↗

Engineering probiotic Escherichia coli Nissle 1917 to block transfer of multiple antibiotic resistance genes by exploiting a type I CRISPR-Cas system

Many multidrug-resistant (MDR) bacteria evolved through accumulation of antibiotic-resistance genes (ARGs). Although the potential risk of probiotics as reservoirs of ARGs has been recognized, strategies for blocking transfer of ARGs while using probiotics have rarely been explored. The probiotic Escherichia coli Nissle 1917 (EcN) has long been used for treating intestinal diseases. Here, we showed frequent transfer of ARGs into EcN both in vitro and in vivo, raising its potential risk of accumulating antibiotic resistance. Given that no CRISPR-Cas system is found in natural EcN, we integrated the endogenous type I-E CRISPR-Cas system derived from E. coli BW25113 into EcN, and showed that the engineered EcN was able to efficiently cleave multiple ARGs (i.e., mcr-1, blaNDM-1 and tet(X)). By co-incubation of EcN expressing Cas3-Cascade and that expressing Cas9, we showed that the growth of the former strain outcompeted the latter strain, demonstrating better clinical application prospect of EcN expressing the type I-E CRISPR-Cas system. Finally, the engineered EcN exhibited immunity against transfer of targeted ARGs in the intestine of a model animal (i.e. zebrafish). Our work provides a new strategy for restricting transfer of ARGs in EcN, paving the way for safe use of this probiotic and development of probiotics as living therapeutics.

microbiology↗

Reconstitution of the uterine immune milieu after transplantation

Maintenance of tissue-specific immunity is important for immunological fitness, but its establishment have been difficult to assess in humans. Here, we investigated reconstitution of the human uterine immune system by studying women undergoing uterus solid organ transplantation (UTX) or hematopoietic stem cell transplantation (HSCT). Through single-cell identification based on SNPs and disparate HLA expression using single-cell RNA sequencing or high-parameter flow cytometry, donor vs recipient cell origin was determined, and features of these cells were studied. A full uterine immune cell reconstitution occurred after both UTX and HSCT, both at transcriptomic and phenotypic level. This occurred despite tacrolimus-induced calcineurin-mediated NFAT pathway inhibition, which affected de novo induction of tissue-residency features in vitro. Intriguingly, after HSCT, immune cells of male origin could reconstitute the uterine immune milieu. Collectively, our results proved insights into tissue immune system persistence and reconstitution capabilities in an organ undergoing continuous regeneration.

immunology↗

Activity of DNA polymerase κ across the genome in human fibroblasts

DNA polymerase {kappa} (Pol {kappa}) is a specialized polymerase that has multiple cellular roles such as translesion DNA synthesis, replicating repetitive sequences, and nucleotide excision repair. We have developed a method for capturing DNA synthesized by Pol {kappa} utilizing a Pol {kappa} - specific substrate, N2-(4-ethynylbenzyl)-2'-deoxyguanosine (EBndG). After shearing of the DNA into 200-500bp lengths, the EBndG-containing DNA was covalently bound to biotin using the Cu(I)- catalyzed alkyne-azide cycloaddition reaction, and isolated with streptavidin beads. Isolated DNA was then ligated to adaptors, followed by PCR amplification and next-generation sequencing (NGS) to generate genome-wide repair maps. We have termed this method polymerase {kappa} sequencing (polK-seq). Here we present the human genome maps for pol {kappa} activity in an undamaged cell line. We found that pol {kappa} activity was enhanced in euchromatin regions, the promoter of genes, and in DNA that is replicated early in S-phase.

cell biology↗

Dual Targeting of STING and PI3Kγ Eliminates Regulatory B Cells to Overcome STING Resistance for Pancreatic Cancer Immunotherapy

The immune suppression in tumors and lymph nodes of pancreatic ductal adenocarcinoma (PDAC), regulated by suppressive myeloid cells and regulatory B (Breg) cells, hinders the effectiveness of immunotherapy. Although STING agonists activate myeloid cells to overcome immune suppression, it expands Breg cells, conferring STING resistance in PDAC. We discovered that blocking PI3K{gamma} during STING activation abolished IRF3 phosphorylation to eliminate Breg cells, while PI3K{gamma} inhibition sustained STING-induced IRF3 phosphorylation to preserve STING function in myeloid cells. Therefore, we developed a dual functional compound SH-273 and its albumin nanoformulation Nano-273, which stimulates STING to activate myeloid cells and inhibits PI3K{gamma} to eliminates Breg cells overcoming STING resistance. Nano-273 achieved systemic antitumor immunity through intravenous administration, which decreases Breg cells and remodels microenvironment in tumors and lymph nodes. Nano-273, combined with anti-PD-1, extended median survival to 200 days in transgenic KPC PDAC mice (KrasG12D-P53R172H-Cre), offering potential for PDAC treatment.

pharmacology and toxicology↗

Natural selection exerted by historical coronavirus epidemic(s): comparative genetic analysis in China Kadoorie Biobank and UK Biobank

BackgroundPathogens have been one of the primary sources of natural selection affecting modern humans. The footprints of historical selection events - "selective sweeps" - can be detected in the genomes of present-day individuals. Previous analyses of 629 samples from the 1000 Genomes Project suggested that an ancient coronavirus epidemic [~]20,000 years ago drove multiple selective sweeps in the ancestors of present-day East Asians, but not in other worldwide populations. ResultsUsing a much larger genetic dataset of 76,719 unrelated individuals from each of the China Kadoorie Biobank (CKB) and UK Biobank (UKB) to identify regions of long-range linkage disequilibrium, we further investigated signatures of past selective sweeps and how they reflect previous viral epidemics. Using independently-curated lists of human host proteins which interact physically or functionally with viruses (virus-interacting proteins; VIPs), we found enrichment in CKB for regions of long-range linkage disequilibrium at genes encoding VIPs for coronaviruses, but not DNA viruses. By contrast, we found no clear evidence for any VIP enrichment in UKB. These findings were supported by additional analyses using saltiLASSi, a selection-scan method robust to false positives caused by demographic events. By contrast, for GWAS signals for SARS-Cov2 susceptibility (critical illness, hospitalisation, and reported infection), there was no difference between UKB and CKB in the number located at or near signals of selection, as expected for a novel virus which has had no opportunity to impact the CKB/UKB study populations. ConclusionsTogether, these results provide evidence of selection events consistent with historical coronavirus epidemic(s) originating in East Asia. These results show how biobank-scale datasets and evolutionary genomics theory can provide insight into the study of past epidemics. The results also highlights how historic infectious diseases epidemics can shape the genetic architecture of present-day human populations.

genomics↗

BioKG: a comprehensive, high-quality biomedical knowledge graph for AI-powered, data-driven biomedical research

To address the rapid growth of scientific publications and data in biomedical research, knowledge graphs (KGs) have become a critical tool for integrating large volumes of heterogeneous data to enable efficient information retrieval and automated knowledge discovery (AKD). However, transforming unstructured scientific literature into KGs remains a significant challenge, with previous methods unable to achieve human-level accuracy. In this study, we utilized an information extraction pipeline that won first place in the LitCoin NLP Challenge (2022) to construct a large-scale KG named iKraph using all PubMed abstracts. The extracted information matches human expert annotations and significantly exceeds the content of manually curated public databases. To enhance the KGs comprehensiveness, we integrated relation data from 40 public databases and relation information inferred from high-throughput genomics data. This KG facilitates rigorous performance evaluation of AKD, which was infeasible in previous studies. We designed an interpretable, probabilistic-based inference method to identify indirect causal relations and applied it to real-time COVID-19 drug repurposing from March 2020 to May 2023. Our method identified 600-1400 candidate drugs per month, with one-third of those discovered in the first two months later supported by clinical trials or PubMed publications. These outcomes are very challenging to attain through alternative approaches that lack a thorough understanding of the existing literature. A cloud-based platform (https://biokde.insilicom.com) was developed for academic users to access this rich structured data and associated tools.

bioinformatics↗

In vivo evaluation of Clostridioides difficile enoyl-ACP reductase II (FabK) Inhibition by phenylimidazole unveils a promising narrow-spectrum antimicrobial strategy

Clostridioides difficile infection (CDI) is a leading cause of hospital-acquired diarrhea, which often stem from disruption of the gut microbiota by broad-spectrum antibiotics. The increasing prevalence of antibiotic-resistant C. difficile strains, combined with disappointing clinical trials results for recent antibiotic candidates, underscore the urgent need for novel CDI antibiotics. To this end, we investigated C. difficile enoyl ACP reductase (CdFabK), a crucial enzyme in de novo fatty acid synthesis, as a drug target for microbiome-sparing antibiotics. To test this concept, we evaluated the efficacy and in vivo spectrum of activity of the phenylimidazole analog 296, which is validated to inhibit intracellular CdFabK. Against major CDI-associated ribotypes 296 had an MIC90 of 2 {micro}g/ml, which was comparable to vancomycin (1 {micro}g/ml), a standard of care antibiotic. In addition, 296 achieved high colonic concentrations and displayed dosed-dependent efficacy in mice with colitis CDI. Mice that were given 296 retained colonization resistance to C. difficile and had microbiomes that resembled the untreated mice. Conversely, both vancomycin and fidaxomicin induced significant changes to mice microbiomes, in a manner consistent with prior reports. CdFabK therefore represents a potential target for microbiome-sparing CDI antibiotics, with phenylimidazoles providing a good chemical starting point for designing such agents.

microbiology↗

Prosocial Decision-Making and Human Brain: A Graph Theory Analysis on Resting-State Functional Magnetic Resonance Image

Prosocial behavior is the cornerstone of a harmonious society. However, the functional organization of the brain underlying prosocial decision-making needs to be further explored. Here, we used graph theory analysis to investigate the brain functional connectivity derived from functional magnetic resonance imaging (fMRI) scans during rest in 55 female Chinese university students. The behavioral responses were collected in another fMRI scan during which participants completed an economic exchange game task by making multiple choices between a prosocial and a selfish option against either human counterparts (i.e., social environment) or robot counterparts (i.e., non-social environment). We found that making more prosocial decisions is accompanied by a longer path length in the right anterior superior temporal gyrus (aSTG), higher degree centrality in the posterior cingulate cortex (PCC), and higher betweenness centrality in the left aSTG. Our results suggest that human prosocial decisions are associated with greater inter-regional collaborations that are dominated by a few core nodes within the brain network of Theory of Mind (ToM). Moreover, an individuals preference for making prosocial decisions could be uncovered by graph theory analysis of the functional brain network even without explicit task requirements.

neuroscience↗

A novel human fetal lung-derived alveolar organoid model reveals mechanisms of surfactant protein C maturation relevant to interstitial lung disease

Alveolar type 2 (AT2) cells maintain lung health by acting as stem cells and producing pulmonary surfactant1-3. AT2 dysfunction underlies many lung diseases including interstitial lung disease (ILD), in which some inherited forms result from mislocalisation of surfactant protein C (SFTPC) variants4,5. Disease modelling and dissection of mechanisms remains challenging due to complexities in deriving and maintaining AT2 cells ex vivo. Here, we describe the development of expandable adult AT2-like organoids derived from human fetal lung which are phenotypically stable, can differentiate into AT1-like cells and are genetically manipulable. We use these organoids to test key effectors of SFTPC maturation identified in a forward genetic screen including the E3 ligase ITCH, demonstrating that their depletion phenocopies the pathological SFTPC redistribution seen for the SFTPC-I73T variant. In summary, we demonstrate the development of a novel alveolar organoid model and use it to identify effectors of SFTPC maturation necessary for AT2 health.

cell biology↗

Emerging Threat of Ranavirus: Prevalence, Genetic Diversity, and Climatic Drivers of Ranavirus (Family Iridoviridae) in ectothermic vertebrates of Asia

Ranavirus disease, caused by viruses within the genus Ranavirus (family Iridoviridae), is considered a globally emerging infectious disease linked to mass mortality events in both wild and cultured ectothermic vertebrates. Surveillance work is however limited in Asia hence prevalence and the dynamics of the disease remains poorly understood. To understand disease burden and the potential biotic and abiotic drivers in southern China region, we conducted a systematic surveillance of the ranavirus across Guangxi Zhuang Autonomous region (GAR). For this, we used a multifaceted approach involving screening of amphibians and other potential reservoirs, diagnostic tests, phylogenetic analyses, prevalence estimation, co-infection assessments, and climatic niche analyses. Over one thousand individuals were sampled across 25 sampling sites. We found ninety-two individuals from 18 species of ectothermic vertebrates to be infected with ranavirus. Two lineages were responsible - Rana nigromaculata ranavirus and Tiger frog virus were identified using phylogenetic analysis based on the major capsid protein (MCP) gene fragment. We also found evidence of a co-infection with ranavirus and Bd that can be highly detrimental to host populations; possibly the first such documentation in Asia. Our niche modelling analysis suggests that precipitation and seasonality play an important role in ranavirus prevalence in Guangxi region - southwestern, southeastern, central and northeastern regions of GAR can be considered to be optimum habitats for ranaviruses. Infection rates in wild frog species have reached 100% in some areas, even in nature reserves. Our research also indicates that culture facilities and pet farms are frequently infected, serving as likely vectors for the regional and global spread of ranaviruses. The knowledge generated suggests the need for systematic surveillance, stringent biosecurity measures, and control of international animal trade to prevent further transmission and protection of biodiversity and aquaculture industries across Asia.

ecology↗

Neural Networks Are Tuned Near Criticality During a Cognitive Task and Distanced from Criticality In a Psychopharmacological Model of Alzheimer's Disease

Dynamical systems exhibit transitions between ordered and disordered states and "criticality" occurs when the system lies at the borderline between these states at which the input is neither strongly damped nor excessively amplified. Impairments in brain function such as dementia or epilepsy could arise from failure of adaptive criticality, and deviation from criticality may be a potential biomarker for cognition-related neurological and psychiatric impairments. Miniscope wide-field calcium imaging of several hundred hippocampal CA1 neurons in freely-behaving mice was studied during rest, a cognitive task of novel object recognition (NOR), and novel object recognition following scopolamine administration that greatly impairs spatial memory encoding. We find that while hippocampal networks exhibit characteristics of a near-critical system at rest, the network activity shifts significantly closer to a critical state when the mice engaged in the NOR task. The dynamics shift away from criticality with impairment of novel object performance due to scopolamine-induced memory impairment. These results support the concept that hippocampal neural networks move closer to criticality when successfully processing increased cognitive load, taking advantage of maximal dynamical range, information content, and transmission that occur in critical regimes.

neuroscience↗

LrhA promotes CRISPR-Cas immunity by promoting reciprocal interplay between interference and primed adaptation in Escherichia coli

The CRISPR-based defense system protects prokaryotes against foreign genetic elements. Previous studies indicated that the activity of the CRISPR-Cas system is the outcome of the combined effect of adaptation and interference. However, it remains unclear how coordination of the two processes is regulated to optimize the efficacy of adaptive immunity. Here, we identify the LysR-type transcriptional regulator LrhA as a new CRISPR-Cas activator which plays an important role in coordinating adaptation and interference. Through directly binding to the promoter of the cas operon, LrhA enhances the CRISPR-Cas adaptive immunity against bacteriophage infection by stimulating the transcription of cas genes. Moderate activation of cas genes by LrhA efficiently promoted the clearance of horizontally transferred CRISPR-targeted plasmid via increasing the acquisition of new spacers by interference-driven adaptation in Escherichia coli. Our results indicate that intermediate level of transcription of cas genes achieved optimal outcomes of the adaptive immunity through triggering positive feedback between adaptation and interference, highlighting the importance of fine-tuning expression of CRISPR-Cas system.

microbiology↗

A frog adaptive radiation: Ecomorphological evolution in Old-World shrub frogs (Rhacophoridae: Pseudophilautus)

Ecomorphs result from divergent natural selection, leading to species-rich adaptive radiations. Identifying ecomorphs and the resulting adaptive radiations in frogs is challenging due to conserved morphology and high species diversity. In this study, we demonstrate the ecological and climate specializations that have driven the diversification of shrub frogs of the genus Pseudophilautus in Sri Lanka, a tropical continental island. We use a time-calibrated phylogeny, morphometric analyses, and climate-niche evolution, and identify five ecomorphological categories, including Tree-shrub, Rock-boulder, Leaf-litter, Habitat Generalists, and Canopy forms, and describe their evolution. Body size is the primary factor separating species, and specific body features correlate with habitat type. Ecomorphs likely evolved multiple times in disparate lineages, and in different regions and altitudes, during cold climatic periods owing to monsoon cycles resulting from the Himalayan-Tibetan orogeny. The common ancestor was a medium-sized, wet-adapted, tree-shrub habitat specialist which originated in the late Oligocene. Extreme size classes (diminutive leaf litter forms and large canopy forms) evolved recently and suggest that morphological disparity arose late in diversification, possibly aided by favorable climates. This work will facilitate understanding of adaptive radiations in frogs, which possibly will help uncover the prevalence of subtle adaptive radiations in frogs, just as in tailed-vertebrates.

evolutionary biology↗

The lncRNA TRG-AS1 promotes the growth of colorectal cancer cells through the regulation of P2RY10/GNA13

PurposeThe lncRNA TRG-AS1 and its co-expressed gene P2RY10 are important for colorectal cancer (CRC) occurrence and development. The purpose of our research was to explore the roles of TRG-AS1 and P2RY10 in CRC progression. MethodsThe abundance of TRG-AS1 and P2RY10 was determined in CRC cell lines. LoVo cells were transfected with si-TRG-AS1 and si-P2RY10 constructs. Subsequently, the viability, colony formation, and migration of the transfected cells were analyzed using cell counting kit-8, clonogenicity, and scratch-wound/Transwell(R) assays, respectively. Cells overexpressing GNA13 were used to further explore the relationship between TRG-AS1 and P2RY10 along with their downstream functions. Finally, nude mice were injected with different transfected cell types to observe tumor formation in vivo. ResultsTRG-AS1 and P2RY10 were significantly upregulated in HT-29 and LoVo compared to FHC cells. TRG-AS1 knockdown and P2RY10 silencing suppressed the viability, colony formation, and migration of LoVo cells. TRG-AS1 knockdown downregulated the expression of P2RY10, GNA12, and GNA13, while P2RY10 silencing downregulated the expression of TRG-AS1, GNA12, and GNA13. Additionally, GNA13 overexpression reversed the cell growth and gene expression changes in LoVo cells induced by TRG-AS1 knockdown or P2RY10 silencing. In vivo experiments revealed that CRC tumor growth was suppressed by TRG-AS1 knockdown and P2RY10 silencing. ConclusionsTRG-AS1 knockdown repressed the growth of CRC cells by regulating P2RY10 and GNA13 expression, thereby controlling CRC occurrence and development.

molecular biology↗

Structural and Biological Evaluations of a Non-Nucleoside STING Agonist Specific for Human STING-A230 Variants

Previously we identified a non-nucleotide tricyclic agonist BDW568 that activates human STING (stimulator of interferon genes) gene variant containing A230 in a human monocyte cell line (THP-1). STINGA230 alleles, including HAQ and AQ, are less common STING variants in human population. To further characterize the mechanism of BDW568, we obtained the crystal structure of the C-terminal domain of STINGA230 complexed with BDW-OH (active metabolite of BDW568) at 1.95 [A] resolution and found the planar tricyclic structure in BDW-OH dimerizes in the STING binding pocket and mimics the two nucleobases of the endogenous STING ligand 2,3-cGAMP. This binding mode also resembles a known synthetic ligand of human STING, MSA-2, but not another tricyclic mouse STING agonist DMXAA. Structure-activity-relationship (SAR) studies revealed that all three heterocycles in BDW568 and the S-acetate side chain are critical for retaining the compounds activity. BDW568 could robustly activate the STING pathway in human primary peripheral blood mononuclear cells (PBMCs) with STINGA230 genotype from healthy individuals. We also observed BDW568 could robustly activate type I interferon signaling in purified human primary macrophages that were transduced with lentivirus expressing STINGA230, suggesting its potential use to selectively activate genetically engineered macrophages in macrophage-based approaches, such as chimeric antigen receptor (CAR)-macrophage immunotherapies.

pharmacology and toxicology↗

Dendrimeric DNA Coordinate Barcoding Design for Spatial RNA Sequencing

Spatially resolved transcriptomic technologies show promise in revealing complex pathophysiological processes, but developing sensitive, high-resolution, and cost-effective methodology is challenging. Here, we report a dendrimeric DNA coordinate barcoding design for spatial RNA sequencing (Decoder-seq). This technology combined dendrimeric nano-substrates with microfluidic coordinate barcoding to generate high-density spatial DNA arrays with deterministically combinatorial barcodes in a resolution-flexible and cost-effective manner ([~]$0.5/mm2). Decoder-seq achieved high RNA capture efficiency, [~]68.9% that of in situ sequencing, and enhanced the detection of lowly expressed genes by [~]five-fold compared to 10x Visium. Decoder-seq visualized a spatial single-cell atlas of mouse hippocampus at near-cellular resolution (15 m) and revealed dendrite-enriched mRNAs. Application to renal cancers dissected the heterogeneous tumor microenvironment of two subtypes, and identified spatial gradient expressed genes with the potential in predicting tumor prognosis and progression. Decoder-seq is compatible with sensitivity, resolution, and cost, making spatial transcriptomic analysis accessible to wider biomedical applications and researchers.

genomics↗