bioRxiv Science⌕ Search

Biology subjects

Fang, Z.

Publications and source records attributed to Fang, Z..

At least 73 records · Page 4Linked to original sources

Multi-omics analysis reveals novel interplays between intratumoral bacteria and glioma

Emerging evidence highlights the potential impact of intratumoral microbiota on cancer. However, the microbial composition and function in glioma remains elusive. Consequently, our study aimed to investigate the microbial community composition in glioma tissues and elucidate its role in glioma development. We parallelly performed microbial profiling, transcriptome sequencing and metabolomics detection on tumor and adjacent normal brain tissues obtained from 50 glioma patients. We employed immunohistochemistry, multicolor immunofluorescence and FISH staining to observe the presence and location of bacteria. Furthermore, an animal model was employed to validate the impact of key bacteria on glioma development. Six genera were found to be significantly enriched in glioma tissues compared to its adjacent normal brain tissues, including Fusobacterium, Longibaculum, Intestinimonas, Pasteurella, Limosilactobacillus and Arthrobacter. Both bacterial RNA and LPS were observed in glioma tissues. Multicolor immunofluorescence analysis showed higher bacterial LPS levels in tumor cells than in macrophages and in glioma tissue than in adjacent normal brain tissue. Integrated microbiomics, transcriptomics, and metabolomics revealed that genes associated with intratumoral microbes were enriched in multiple synapse-associated pathways and that metabolites associated with intratumoral microbes were (R)-N-methylsalsolinol, N-acetylaspartylglutamic acid, and N-acetyl-L-aspartic acid. Further mediation analysis suggested that intratumoral microbiome may affect the expression of neuron-related genes through bacteria-associated metabolites. In addition, a glioma mouse model suggested that Fusobacterium nucleatum promoted glioma growth by increasing the levels of N-acetylneuraminic acid and the expression levels of CCL2, CXCL1, and CXCL2. In conclusion, our findings shed light on the intricate interplays between intratumoral bacteria and glioma.

neuroscience↗

Adeno-to-squamous transition drives resistance to KRAS inhibition in LKB1 mutant lung cancer

KRASG12C inhibitors including adagrasib and sortorasib have shown clinical promise in targeting KRASG12C-mutated lung cancers, however, most patients eventually develop drug resistance. In lung adenocarcinoma patients with co-occurring KRASG12C and STK11/LKB1 mutations, we found a high squamous gene signature at baseline significantly correlated with poor adagrasib response. Through integrative studies of Lkb1-deficient KRASG12Cand KrasG12D lung cancer mouse models and/or organoids treated with KRAS inhibitors, we found tumor cells invoked a lineage plasticity program: adeno-to-squamous transition (AST) that mediated resistance to KRAS inhibition. Transcriptomic and epigenomic analyses revealed {Delta}Np63 drives AST and modulates response to KRAS inhibition. We identified an intermediate high-plasticity cell state with distinct gene expression program marked by Krt6a upregulation. Notably, higher KRT6A expression at baseline correlated with shorter overall survival in KRAS-mutant patients receiving adagrasib. These data support the role of AST in KRAS inhibitor resistance and provide predictive biomarker for KRAS-targeted therapies in lung cancer.

cancer biology↗

The phase of tACS-entrained pre-SMA beta oscillations modulates motor inhibition

Inhibitory control has been linked to beta oscillations in the fronto-basal ganglia network. Here we aim to investigate the functional role of the phase of this oscillatory beta rhythm for successful motor inhibition. We applied 20 Hz transcranial alternating current stimulation (tACS) to the pre-supplementary motor area (pre-SMA) while presenting stop signals at 4 (Experiment 1) and 8 (Experiment 2) equidistant phases of the tACS entrained beta oscillations. Participants showed better inhibitory performance when stop signals were presented at the trough of the beta oscillation whereas their inhibitory control performance decreased with stop signals being presented at the oscillatory beta peak. These results are consistent with the communication through coherence theory, in which postsynaptic effects are thought to be greater when an input arrives at an optimal phase within the oscillatory cycle of the target neuronal population. The current study provides mechanistic insights into the neural communication principles underlying successful motor inhibition and may have implications for phase-specific interventions aimed at treating inhibitory control disorders such as PD or OCD.

neuroscience↗

GenomeMUSter mouse genetic variation service enables multi-trait, multi-population data integration and analyses

Hundreds of inbred laboratory mouse strains and intercross populations have been used to functionalize genetic variants that contribute to disease. Thousands of disease relevant traits have been characterized in mice and made publicly available. New strains and populations including the Collaborative Cross, expanded BXD and inbred wild-derived strains add to set of complex disease mouse models, genetic mapping resources and sensitized backgrounds against which to evaluate engineered mutations. The genome sequences of many inbred strains, along with dense genotypes from others could allow integrated analysis of trait - variant associations across populations, but these analyses are not feasible due to the sparsity of genotypes available. Moreover, the data are not readily interoperable with other resources. To address these limitations, we created a uniformly dense data resource by harmonizing multiple variant datasets. Missing genotypes were imputed using the Viterbi algorithm with a data-driven technique that incorporates local phylogenetic information, an approach that is extensible to other model organism species. The result is a web- and programmatically-accessible data service called GenomeMUSter (https://muster.jax.org), comprising allelic data covering 657 strains at 106.8M segregating sites. Interoperation with phenotype databases, analytic tools and other resources enable a wealth of applications including multi-trait, multi-population meta-analysis. We demonstrate this in a cross-species comparison of the meta-analysis of Type 2 Diabetes and of substance use disorders, resulting in the more specific characterization of the role of human variant effects in light of mouse phenotype data. Other applications include refinement of mapped loci and prioritization of strain backgrounds for disease modeling to further unlock extant mouse diversity for genetic and genomic studies in health and disease.

genetics↗

Integrated Organ Immunity: Antigen-specific CD4-T cell-derived IFN-γ induced by BCG imprints prolonged lung innate resistance against respiratory viruses

Bacille Calmette-Guerin (BCG) vaccination can confer non-specific protection against heterologous pathogens. However, the underlying mechanisms remain mysterious. Here, we show that mice immunized intravenously with BCG exhibited reduced weight loss and/or improved viral clearance when challenged with SARS-CoV-2 and influenza. Protection was first evident between 14 - 21 days post vaccination, and lasted for at least 42 days. Remarkably, BCG induced a biphasic innate response in the lung, initially at day 1 and a subsequent prolonged phase starting at [~]15 days post vaccination, and robust antigen-specific Th1 responses. MyD88-dependent TLR signaling was essential for the induction of the innate and Th1 responses, and protection against SARS-CoV-2. Depletion of CD4+ T cells or IFN-{gamma} activity prior to infection obliterated innate activation and protection. Single cell and spatial transcriptomics revealed CD4-dependent expression of interferon-stimulated genes (ISGs) in myeloid, type II alveolar and lung epithelial cells. Thus, BCG elicits "integrated organ immunity" where CD4+ T cells act on local myeloid and epithelial cells to imprint prolonged antiviral innate resistance.

immunology↗

A KDELR-mediated ER retrieval system guides the signaling pathways of UPR and AMPK to maintain cellular homeostasis

KDELR (Erd2 in yeasts) mediates the retrieval of ER-resident proteins from the Golgi apparatus, yet how the KDELR-mediated ER retrieval system is involved in regulating cellular homeostasis has been unclear. Here we report that the loss of the Erd2-mediated ER retrieval system induces the unfolded protein response (UPR) and increases mitochondrial respiration and reactive oxygen species (ROS) in an UPR-dependent manner. Moreover, transcriptomic analysis revealed that expression of the genes involved in mitochondrial respiration and the tricarboxylic acid cycle is enhanced in an UPR-dependent manner in cells lacking Erd2. In cells lacking Erd2, the enhancement of mitochondrial respiration and ROS is required for maintaining cell viability. The loss of the Erd2-mediated ER retrieval system also activates AMPK, and consequently derepresses carbon catabolite repression. Hence, our work establishes a role of the KDELR/Erd2-mediated ER retrieval system in guiding the signalling pathways of AMPK and UPR and underscores the crucial role of the KDELR/Erd2-mediated ER retrieval system in the maintenance of cellular homeostasis.

cell biology↗

The involvement of the human prefrontal cortex in the emergence of visual awareness

Exploring the neural mechanisms of awareness is a fundamental task of cognitive neuroscience. There is an ongoing dispute regarding the role of the prefrontal cortex (PFC) in the emergence of awareness, which is partially raised by the confound between report- and awareness-related activity. To address this problem, we designed a visual awareness task that can minimize report-related motor confounding. Our results show that saccadic latency is significantly shorter in the aware trials than in the unaware trials. Local field potential (LFP) data from 6 patients consistently show early (200-300 ms) awareness-related activity in the PFC, including event-related potential and high-gamma activity. Moreover, the awareness state can be reliably decoded by the neural activity in the PFC since the early stage, and the neural pattern is dynamically changed rather than being stable during the representation of awareness. Furthermore, the enhancement of dynamic functional connectivity, through the phase modulation at low frequency, between the PFC and other brain regions in the early stage of the awareness trials may explain the mechanism of conscious access. These results indicate that the PFC is critically involved in the emergence of awareness.

neuroscience↗

Complement C3 reduces apoptosis in human cardiomyocytes

Complement C3 is a key factor in complement system. Our recently animal study found that C3 may regulate myocardial apoptosis through the intrinsic apoptosis pathway. The current work investigated if C3 regulation of apoptosis occurred in human cardiomyocytes. Our results showed that incubation of exogenous C3 reduced apoptosis in a cell culture system of human cardiomyocytes which did not inherently express C3. In addition, C3 inhibited intrinsic apoptosis pathway in a cell-free apoptosis system. Furthermore, pro-C3 was found to bind with an apoptotic factor, pro-caspase 3, in a cell-free system. Thus, we presented firsthand evidence that exogenous C3 is readily reduce apoptosis in human cardiomyocytes via interaction with the intrinsic apoptotic pathway.

cell biology↗

Syntheses of Pyrimidine-Modified Seleno-DNAs as Stable Antisense Molecules

Chemically modified antisense oligonucleotides (ASO) currently in pre-clinical and clinical experiments mainly focus on the 2-position derivatizations to enhance stability and targeting affinity. Considering the possible incompatibility of 2-modifications with RNase H stimulation and activity, we have hypothesized that the atom specific modifications on nucleobases can retain the complex structure and RNase H activity, while enhancing ASOs binding affinity, specificity, and stability against nucleases. Herein we report a novel strategy to explore our hypothesis by synthesizing the deoxynucleoside phosphoramidite building block with the seleno-modification at 5-position of thymidine, as well as its Se-oligonucleotides. Via X-ray crystal structural study, we found that the Se-modification was located in the major groove of nucleic acid duplex and didnt cause the thermal and structural perturbations. Surprisingly, our nucleobase-modified Se-DNAs were exceptionally resistant to nuclease digestion, while compatible with RNase H activity. This affords a novel avenue for potential antisense modification in the form of Se-antisense oli-gonucleotides (Se-ASO).

biochemistry↗

Characterization of Pro-Fibrotic Signaling Pathways using Human Hepatic Organoids

Due to the limitations of available in vitro systems and animal models, we lack a detailed understanding of the pathogenetic mechanisms and have minimal treatment options for liver fibrosis. To overcome this barrier, we engineered a live cell imaging system that identifies collagen producing cells in a human multi-lineage hepatic organoid. This system was adapted for use as a microwell-based platform (i.e., microHOs) where exposure to PDGF or TGF{beta}1 induced the formation of thick collagen fibers. Transcriptomic analysis revealed that TGF{beta}1 exposure converted mesenchymal cells into myofibroblast-like cells that contribute to the development of liver fibrosis. When pro-fibrotic intracellular signaling pathways were examined using pharmacological probes, the anti-fibrotic effect of receptor-specific tyrosine kinase inhibitors was limited to the fibrosis induced by the corresponding growth factor, which indicates that their anti-fibrotic efficacy would be limited to fibrotic diseases that were solely mediated by that growth factor. Transcriptomic and transcription factor activation analyses were used to identify pathways that were jointly activated by PDGF and TGF{beta}1. GSK3{beta} or p38 MAPK inhibitors could prevent TGF{beta}1- or PDGF-induced fibrosis in microHOs because they block intracellular signaling pathways that are commonly utilized by the TGF{beta}1 and PDGF receptors. Hence, these studies identified GSK3{beta} and p38 MAPK inhibitors as potential new broad-spectrum therapies for liver fibrosis, and it is likely that other new therapies could subsequently be identified using this microHO system.

cell biology↗

Complement C3 interacts with cytochrome c to influence myocardial apoptosis during heart ischemia/reperfusion

Myocardial ischemia/reperfusion (I/R) elicits an acute inflammatory response involving complement factors. Previous animal studies showed that circulation complement C3 was deposited in the ischemic myocardium flooded with oxygenated blood upon reperfusion. Recently, we reported that myocardial necrosis was decreased in C3-/- mice after heart I/R. The current study used in the same heart model to test the effect of C3 on myocardial apoptosis. Our results showed that myocardial apoptosis was increased in C3-/- mice after heart I/R. Further, comparative proteomics analyses found that cytochrome c was present in the myocardial C3-complex following I/R. These results indicate that C3 can interact with cytochrome c in the cytosol of cardiomyocytes during myocardial I/R, which may sequester cytochrome c and thus reduce the number of cells undergoing apoptosis. In summary, our findings raise the possibility of a new mechanism affecting cell death relevant to pathologic conditions such as ischemia: a circulating innate immune factor, i.e. complement, can interact with intracellular factor(s), and influence the types of cell death that occur.

molecular biology↗

Hem25p is a mitochondrial IPP transporter

Coenzyme Q (CoQ, ubiquinone) is an essential cellular cofactor comprised of a redox-active quinone head group and a long hydrophobic polyisoprene tail. How mitochondria access cytosolic isoprenoids for CoQ biosynthesis is a longstanding mystery. Here, via a combination of genetic screening, metabolic tracing, and targeted uptake assays, we reveal that Hem25p--a mitochondrial glycine transporter required for heme biosynthesis--doubles as an isopentenyl pyrophosphate (IPP) transporter in Saccharomyces cerevisiae. Mitochondria lacking Hem25p fail to efficiently incorporate IPP into early CoQ precursors, leading to loss of CoQ and turnover of CoQ biosynthetic proteins. Expression of Hem25p in Escherichia coli enables robust IPP uptake demonstrating that Hem25p is sufficient for IPP transport. Collectively, our work reveals that Hem25p drives the bulk of mitochondrial isoprenoid transport for CoQ biosynthesis in yeast.

biochemistry↗

Analysis of the SARS-CoV-2 spike protein revealed that blocked receptor-binding domain antigenicity decreases the production of neutralizing antibodies in vivo

The identification of SARS-CoV-2 spike protein distribution and function in target cells has raised concerns about its possible impacts on vaccine efficacy and pathogenic effect in host cells. Thus, a better understanding of such consequences is necessary. In this study, we studied the biological characteristics of six variants of SARS-CoV-2 in A549 and HEK293 cells using four different technologies. The results showed that compared to the other fragments, the full-length spike protein exhibited the highest expression on the cell surface and was detectable in the cell supernatant, cytoplasm, and nucleus. Except for the cell surface, the S1 subunit generally expressed higher than the full-length spike protein. RBD and S2 subunits were expressed in the cytoskeleton. The SS-RBD peptide, which consists of a 19-amino acid signal peptide sequence (SS)-linked RBD, exhibited the highest expression in the cell supernatant among all other studied peptides. The SS positively enhanced the expression, migration, and secretion of SS-RBD from the cytoskeleton to the supernatant. Importantly, the FACS assay results showed that neutralizing antibodies (NAbs) could recognize SS-RBD but not RBD in the transfected cells, suggesting that RBD was tightly bound by ACE2 in HEK293 cells. In contrast, the antigenicity of the RBD in the spike protein was revealed and efficiently monitored only by 6-His-tag mAbs. Thus, our findings demonstrated that ACE2 blocks crucial immunogenic epitopes of the RBD, and the full-length spike protein mainly induces non-neutralizing antibodies in vivo. Therefore, we suggest that reducing ACE2 binding affinity and exposing the immunogenicity of the RBD on the spike protein is imperative for improving vaccine efficacy and generating new SARS-CoV-2 mRNA vaccines.

microbiology↗

Polyvalent mRNA vaccination elicited potent immune response to monkeypox surface antigens

The soaring global monkeypox cases lead to a surge in demand for monkeypox vaccine, which far exceeds the supply. mRNA vaccine has achieved great success in prevention of coronavirus disease and holds promise against diverse pathogens. In this study, we generate a polyvalent lipid nanoparticle (LNP) mRNA vaccine candidate for monkeypox virus (MPXV) and evaluate its immunogenicity in animal models. This polyvalent MPXV mRNA vaccine candidate, MPXVac-097, encodes five 2022 MPXV targets that are important surface antigens. Three-dose (prime-boost-booster) MPXVac-097 vaccination elicits strong antibody response to A35R and E8L antigens, moderate response to M1R, but not B6R or A29, highlighting the differences in immunogenicity. Bulk T cell receptor (TCR) sequencing reveals preferential usage of VJ combinations and clonal expansion of peripheral T cells after MPXVac-097 vaccination. These data demonstrate initial feasibility of developing MPXV mRNA vaccine and pave the way for its future optimization.

immunology↗

Isolation and characterization of a novel phage of Vibrio parahaemolyticus with biocontrol potential

Vibrio parahaemolyticus is a major foodborne pathogen that contaminates aquatic products and causes great economic losses to aquaculture. Because of the emergence of multidrug-resistant V. parahaemolyticus strains, bacteriophages are considered promising agents for their biocontrol as an alternative or supplement to antibiotics. Here, a lytic vibriophage, vB_VpaM_R16F (R16F), was isolated from sewage from a seafood market by infecting V. parahaemolyticus 1.1997T. R16F was found to infect V. parahaemolyticus, but not nine other Vibrio spp. The phage belongs to the myovirus morphotype and lysed host cells with a short latent period (<10 min) and a small burst size (13 plaque-forming units). R16F has a linear double-stranded DNA with genome size 139,011 bp and a G+C content of 35.21%. Phylogenetic and intergenomic nucleotide sequence similarity analysis revealed that R16F is distinct from currently known vibriophages and belongs to a novel genus. Several genes (e.g., encoding ultraviolet damage endonuclease and endolysin) that may enhance environmental competitiveness were found in the genome of R16F, while no antibiotic resistance- or virulence factor-related gene was detected. In consideration of its biological and genetic properties, R16F is suggested to be a candidate biocontrol agent for use against V. parahaemolyticus.

microbiology↗

Neuron Navigator 1 Regulates Learning, Memory, and the Response to Multiple Potentially Addictive Drugs

Genetic variation accounts for much of the risk for developing a substance use disorder (SUD). Inbred mouse strains exhibit substantial and heritable differences in the extent of voluntary cocaine intravenous self-administration (IVSA). Computational genetic analysis of IVSA data obtained from an inbred strain panel identified Nav1, a member of the neuron navigator family that regulates dendrite formation and axonal guidance, as a candidate gene. To test this hypothesis, we generated and characterized Nav1 knockout (KO) mice. Nav1 KO mice exhibited increased cocaine intake during IVSA testing. Surprisingly, Nav1 KO mice also displayed a reduced susceptibility to become opioid dependent or develop opioid-induced hyperalgesia after chronic morphine administration, and had impaired spatial learning/memory. Immunohistochemistry and electrophysiology studies revealed that inhibitory synapse density in the cortex of Nav1 KO mice was reduced, and excitatory synaptic transmission was increased in the Nav1 KO cortex and hippocampus. Transcriptomic analysis revealed that Nav1 KO mice had a marked increase in excitatory neurons in a deep cortical layer. Collectively, our results indicate that Nav1 regulates learning, memory, and the response to multiple addictive drugs, and that changes in the excitatory and inhibitory synaptic balance in the cortex and hippocampus could possibly mediate these phenotypic effects.

genetics↗

The critical role of BTRC in hepatic steatosis as an ATGL E3 ligase

ObjectiveNon-alcoholic fatty liver disease (NAFLD), characterized by hepatic steatosis, is one of the most common causes of liver dysfunction. ATGL is closely related to hepatic steatosis as the speed-limited triacylglycerol lipase. Nevertheless, the expression and regulation of ATGL in NAFLD remain unclear. MethodsUsing immunohistochemistry and qRT-PCR to detect the expression of ATGL and BTRC in different models with hepatic steatosis. Co-IP evaluated the binding of ATGL and BTRC. Knockdown of BTRC employed by adenoviruses and then analyzed the ATGL expression, triglyceride levels, and lipid droplets accumulation. ResultsOur results revealed that ATGL protein level was decreased in animal and cellular models of hepatic steatosis and the liver tissues of cholangioma/hepatic carcinoma patients with hepatic steatosis, while the ATGL mRNA level had hardly changed; which means the decreased ATGL mainly degraded through the proteasome pathway. BTRC was identified as the E3 ligase for ATGL, up-regulated, and negatively correlated with ATGL level. Moreover, adenovirus-mediated knockdown of BTRC ameliorated hepatic steatosis via up-regulating ATGL level. ConclusionsOur study demonstrates a crucial role of elevated BTRC in hepatic steatosis through promoting ATGL proteasomal degradation as a new ATGL E3 ligase and suggests BTRC may serve as a potential therapeutic target for NAFLD. FundingThis study was supported by The National Natural Science Foundation of China (Grants 82070888, 82070882, 82100917, 81872165, 82273116, 82203661, 81901557 and 81902693); Key Project of Nature Science Foundation of Guangdong Province, China (Grant 2019B1515120077); National Key R&D Program of China (Grant 2018YFA0800403); Guangdong Special Support Program for Young Top Scientist (Grant 201629046); Guangdong Natural Science Fund (Grant 2019A1515011810, 2021A1515010434, 2022A1515012423 and 2022A1515012513); Key Sci-Tech Research Project of Guangzhou Municipality (Grants 202201010820) Fundamental Research Funds for the Central Universities (Grant 50000-31620106); China Postdoctoral Science Foundation (Grant 2021M703679, 2020M683110).

cell biology↗

A scalable approach for solving chemical master equations based on modularization and filtering

Intracellular gene expression systems are inevitably random due to low molecular counts. Consequently, mechanistic models for gene expression should be stochastic, and central to the analysis and inference of such models is solving the Chemical Master Equation (CME), which characterizes the probability evolution of the randomly evolving copy-numbers of the reacting species. While conventional methods such as Monte-Carlo simulations and finite state projections exist for estimating CME solutions, they suffer from the curse of dimensionality, significantly decreasing their efficacy for high-dimensional systems. Here, we propose a new computational method that resolves this issue through a novel divide-and-conquer approach. Our method divides the system into a leader system and several conditionally independent follower subsystems. The solution of the CME is then constructed by combining Monte Carlo estimation for the leader system with stochastic filtering procedures for the follower subsystems. We develop an optimized system decomposition, which ensures the low-dimensionality of the sub-problems, thereby allowing for improved scalability with increasing system dimension. The efficiency and accuracy of the method are demonstrated through several biologically relevant examples in high-dimensional estimation and inference problems. We demonstrate that our method can successfully identify a yeast transcription system at the single-cell resolution, leveraging mRNA time-course microscopy data, allowing us to rigorously examine the heterogeneity in rate parameters among isogenic cells cultured under identical conditions. Furthermore, we validate this finding using a novel noise decomposition technique introduced in this study. This technique exploits experimental time-course data to quantify intrinsic and extrinsic noise components, without requiring supplementary components, such as dual-reporter systems.

systems biology↗