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Huang, C.

Publications and source records attributed to Huang, C..

At least 145 records · Page 8Linked to original sources

Targeting TR4-induced RCC cells-derived exosomally initiated signaling increases Sunitinib efficacy

Sunitinib is the first-line therapy for metastatic clear cell renal cell carcinoma (RCC) via suppressing neoangiogenesis and tumor growth. The detailed mechanisms, especially whether and how RCC cells can impact endothelial cells sensitivity to Sunitinib, remain unclear. Here, we found that TR4 was commonly upregulated in RCC tissue and relative to tumor angiogenesis. Tube formation and Mouse aortic ring assay showed that the overexpression or knockdown of TR4 in RCC cells enhanced or reduced the angiogenesis of endothelial cells and their resistance to Sunitinib in vitro. Mechanistically, We found that TR4 transcriptionally increase ADAM15 expression, as a consequence, exosomes carrying relatively large amounts of ADAM15 secreted from RCC cell resulted in activating the EGFR phosphorylation and reducing the efficacy of Sunitinib in endothelial cells. Targeting the TR4-induced renal cancers-derived exosomelly initiated signaling with a small molecular, CRM197, increases sunitinib efficacy in vitro and xenograft tumor models. Taken together, our findings indicate a novel function of TR4 in RCC blunted the efficacy of sunitinib via exosomal ADAM15-induced activation of EGFR signaling pathway in endothelial cells.

cancer biology↗

Small Molecule Screen Identifies Pyrimethamine as an Inhibitor of NRF2-driven Esophageal Hyperplasia

ObjectiveNRF2 is a master transcription factor that regulates the stress response. NRF2 is frequently mutated and activated in human esophageal squamous cell carcinoma (ESCC), which drives resistance to chemotherapy and radiation therapy. Therefore, a great need exists for NRF2 inhibitors for targeted therapy of NRF2high ESCC. DesignWe performed high-throughput screening of two compound libraries from which hit compounds were further validated in human ESCC cells and a genetically modified mouse model. The mechanism of action of one compound was explored by biochemical assays. ResultsUsing high-throughput screening of two small molecule compound libraries, we identified 11 hit compounds as potential NRF2 inhibitors with minimal cytotoxicity at specified concentrations. We then validated two of these compounds, pyrimethamine and mitoxantrone, by demonstrating their dose- and time-dependent inhibitory effects on the expression of NRF2 and its target genes in two NRF2Mut human ESCC cells (KYSE70 and KYSE180). RNAseq and qPCR confirmed the suppression of global NRF2 signaling by these two compounds. Mechanistically, pyrimethamine reduced NRF2 half-life by promoting NRF2 ubiquitination and degradation in KYSE70 and KYSE180 cells. Expression of an Nrf2E79Q allele in mouse esophageal epithelium (Sox2CreER;LSL-Nrf2E79Q/+) resulted in an NRF2high phenotype, which included squamous hyperplasia, hyperkeratinization, and hyperactive glycolysis. Treatment with pyrimethamine (30mg/kg/day, p.o.) suppressed the NRF2high esophageal phenotype with no observed toxicity. ConclusionWe have identified and validated pyrimethamine as an NRF2 inhibitor that may be rapidly tested in the clinic as a radiation and chemotherapy sensitizer for NRF2high ESCC. SummaryO_ST_ABSWhat is already known on this topic - summarise the state of scientific knowledge on this subject before you did your study and why this study needed to be doneC_ST_ABSO_LIMutational activation of the NRF2 transcription factor drives ESCC progression and therapeutic resistance. Targeted therapies to block NRF2 have not yet been realized, despite great needs. C_LI What this study adds - summarise what we now know as a result of this study that we did not know beforeO_LIA screen of >35,000 small molecules identified eleven potential NRF2 inhibitors. Pyrimethamine and mitoxantrone were validated to inhibit the expression of NRF2 and NQO1 in human ESCC cells in both dose- and time-dependent manners. C_LIO_LIPyrimethamine enhanced NRF2 protein ubiquitination and degradation, resulting a decreased half-life. C_LIO_LIA genetically modified mouse model was established to express the Nrf2E79Q mutant allele in the mouse esophageal epithelium upon tamoxifen induction. Pyrimethamine suppressed the NRF2high esophageal phenotype induced by the mutant allele. C_LI How this study might affect research, practice or policy - summarise the implications of this studyO_LIAs an FDA-approved drug, Pyrimethamine has the potential for immediate translation to a clinical trial on NRF2high ESCC in humans. C_LIO_LIFurther exploration of its mechanisms of action may lead to more potent NRF2 inhibitors for future use. C_LI

cancer biology↗

dsRNA-induced immunity targets plasmodesmata and is suppressed by viral movement proteins

Emerging evidence indicates that in addition to the well-recognized antiviral RNA silencing, dsRNA elicits responses of pattern-triggered immunity (PTI), likely contributing plant resistance against virus infections. However, compared to bacterial and fungal elicitor-mediated PTI, the mode-of-action and signaling pathway of dsRNA-induced defense remain poorly characterized. Here, using multi-color in vivo imaging by GFP mobility, staining of callose and plasmodesmal marker lines, we show that dsRNA-induced PTI restricts the progression of virus infection by triggering callose deposition at plasmodesmata, thereby likely limiting the macromolecular transport through these cell-to-cell communication channels. The plasma membrane-resident kinase module of SERK1 and BIK1/PBL1, plasmodesmata-localized proteins PDLP1/2/3 and calmodulin-like CML41, and Ca2+ signals are involved in the dsRNA-induced signaling leading to callose deposition at plasmodesmata and antiviral defense. In addition, unlike classical bacterial elicitor flagellin, dsRNA does not trigger detectable reactive oxygen species (ROS) burst, further substantiating a partially shared immune signaling framework with distinct features triggered by different microbial patterns. Likely as a counteract strategy, viral movement proteins from different viruses suppress the dsRNA-induced host response leading to callose deposition to achieve infection. Thus, our data support the new model of how plant immune signaling constrains the virus movement by inducing callose deposition at plasmodesmata and how viruses counteract this layer of immunity. One-sentence summarydsRNA-induced antiviral PTI targets plasmodesmata for callose deposition and is suppressed by virus-encoded movement proteins. IN A NUTSHELLO_ST_ABSBackgroundC_ST_ABSPlants use different defense mechanisms pathogens. The major mechanism that plants use for defense against viruses is known as RNA silencing. This mechanism is triggered by the presence of viral double-stranded (ds)RNA and uses small RNAs to inhibit viral replication by targeting the viral genome for degradation. Recently, it was found that dsRNA elicits antiviral defense also through a protein-mediated mechanism known as pattern-triggered immunity (PTI). However, the underlying mechanism of antiviral PTI and how viruses overcome this plant defense mechanism to cause infection is unknown. QuestionIn this study we asked how dsRNA-induced PTI acts to inhibit virus infection and whether we can identify components of the PTI signaling pathway. Moreover, we wanted to know how viruses overcome this plant host defense response in order to cause infection. FindingsWe demonstrate that dsRNA-induced PTI targets plasmodesmata (PD), the intercellular communication conduits in plant cell walls that viruses use to spread infection from cell to cell. By inducing the deposition of callose, dsRNA-induced PTI reduces PD permeability, thus restricting virus movement. We identified PTI signaling components required for dsRNA-induced PD callose deposition and delineate a PTI pathway showing important difference to PTI pathways triggered by microbial elicitors. Moreover, viral movement proteins (MPs) suppress the dsRNA-induced callose deposition response at PD. This leads to a new model of how plant immune signaling constrains virus movement and how viruses counteract this layer of immunity. Next stepsThis study calls upon the identification of the PTI dsRNA receptor and the mechanisms of PTI signaling (involving identified components such as SERK1, BIK1, calcium channels, CML41, PDLP1/2/3) and PTI suppression by MPs, and how dsRNA-induced PTI and RNA silencing are controlled during the spread of infection.

plant biology↗

A tRNA Modification-based strategy for Identifying amiNo acid Overproducers (AMINO)

Amino acids have a multi-billion-dollar market with rising demand, prompting the development of high-performance microbial factories. However, a general screening strategy applicable to all proteinogenic and non-proteinogenic amino acids is still lacking. Modification of the critical structure of tRNA could decrease the aminoacylation level of tRNA catalyzed by aminoacyl-tRNA synthetases. Involved in a two-substrate sequential reaction, amino acids with increased concentration could elevate the reduced aminoacylation rate caused by specific tRNA modification. Here, we developed a selection system for overproducers of specific amino acids using corresponding engineered tRNAs and reporter genes. As a proof-of-concept, overproducers of five amino acids such as L-tryptophan were screened out by growth-based and/or fluorescence-activated cell sorting (FACS)-based screening from random mutation libraries of Escherichia coli and Corynebacterium glutamicum, respectively. This study provided a universal strategy that could be applied to screen overproducers of proteinogenic and non-proteinogenic amino acids in amber-stop-codon-recoded or non-recoded hosts.

synthetic biology↗

Novel mRNA vaccines encoding Monkeypox virus M1R and A35R protect mice from a lethal virus challenge

The outbreak of Monkeypox virus infection urgently need effective vaccines. However, the vaccines so far approved are all based on whole-virus, which raises safety concerns. MRNA vaccines has demonstrated its high efficacy and safety against SARS-Cov-2 infection. Here, we developed three mRNA vaccines encoding Monkeypox proteins M1R and A35R, including A35R-M1R fusions (VGPox1 and VGPox 2) and a combination of encapsulated full-length mRNAs for A35R and M1R (VGPox 3). All three vaccines induced anti-A35R total IgGs as early as day 7 following a single vaccination. However, only VGPox 1 and 2 produced anti-M1R total IgGs at early dates following vaccination while VGPox 3 did not show significant anti-M1R antibody till day 35. Similar results were also found in neutralizing antibodies and T cell immune response. However, all mRNA vaccine groups completely protected mice from a lethal dose virus challenge and effectively cleared virus in lungs. Collectively, our results indicate that the novel mRNA vaccines coding for a fusion protein of A35R and M1R had a better anti-virus immunity than co-expression of the two individual proteins. The mRNA vaccines are highly effective and can be an alternative to the current whole-virus vaccines to defend Monkeypox virus infection.

immunology↗

A novel antidepressant acting via allosteric inhibition of GluN2D-incorporated NMDA receptors at GABAergic interneurons

N-methyl-D-aspartate receptors (NMDARs) are glutamate-gated calcium-permeable excitatory channels. They have attracted great interest as potential targets for the treatment of depression in recent years. NMDARs typically assemble as heterotetramers composed of two GluN1 and two alternative GluN2 (2A-2D) subunits, the latter of which endow various subtypes with diverse gating and pharmacological properties. To date, limited molecules with GluN2 specificity have been identified to show antidepressant effects. Here, we identify a compound termed YY-23 extracted from Rhizoma Anemarrhenae allosterically inhibited the channel activities of GluN2C- or GluN2D-incorporated NMDARs, an effect that was presumably influenced by the S2 segment in the ligand-binding domain of the GluN2 subunit. We found that prefrontal GluN2D-containing NMDARs were predominantly expressed at GABAergic interneurons rather than pyramidal neurons. Furthermore, we revealed that YY-23 suppressed the activity of GluN2D-containing NMDARs and GABAergic neurotransmission in the medial prefrontal cortex (mPFC). As a consequence, this GABAergic disinhibition facilitated the excitatory transmission. Behavioural experiments showed that YY-23 acted as a rapid antidepressant in both stress-naive and stressed animal models, which was abolished in Grin2d-knockout mice. Together, our findings suggest that GluN2D-incorporated NMDARs on GABAergic interneurons might be promising therapeutic targets for the treatment of depression.

neuroscience↗

Single-fibre proteomics reveals a greater fibre-type specific mitochondrial remodelling with moderate than high-intensity training.

Analyses of mitochondrial adaptations in human skeletal muscle have mostly used whole-muscle samples, where results may be confounded by the presence of a mixture of type I and II muscle fibres. Using our adapted mass spectrometry-based proteomics workflow, we provide new insights into fibre-specific mitochondrial differences in human skeletal muscle before and after training. Our findings challenge previous conclusions regarding the extent of fibre-type-specific remodelling of the mitochondrial proteome and highlight that most baseline differences in mitochondrial protein abundances between fibre types reported by us, and others, might be due to differences in total mitochondrial content or a consequence of adaptations to habitual physical activity (or inactivity). Most training-induced changes in different mitochondrial functional groups, in both fibre types, were stoichiometrically linked to changes in markers of mitochondrial content.

physiology↗

Subpopulation Codes Permit Information Modulation Across Cortical States

Cortical state is modulated by myriad cognitive and physiological mechanisms. Yet it is still unclear how changes in cortical state relate to changes in neuronal processing. Previous studies have reported state dependent changes in response gain or population-wide shared variability, motivated by the fact that both are important determinants of the performance of any population code. However, if the state-conditioned cortical regime is well-captured by a linear input-output response (as is often the case), then the linear Fisher information (FI) about a stimulus available to a decoder is invariant to state changes. In this study we show that by contrast, when one restricts a decoder to a subset of a cortical population, information within the subpopulation can increase through a modulation of cortical state. A clear example of such a subpopulation code is one in which decoders only receive projections from excitatory cells in a recurrent excitatory/inhibitory (E/I) network. We demonstrate the counterintuitive fact that when decoding only from E cells, it is exclusively the I cell response gain and connectivity which govern how information changes. Additionally, we propose a parametrically simplified approach to studying the effect of state change on subpopulation codes. Our results reveal the importance of inhibitory circuitry in modulating information flow in recurrent cortical networks, and establish a framework in which to develop deeper mechanistic insight into the impact of cortical state changes on information processing in these circuits.

neuroscience↗

SpatialSort: A Bayesian Model for Clustering and CellPopulation Annotation of Spatial Proteomics Data

Emerging spatial proteomics technologies have created new opportunities to move beyond quantifying the composition of cell types in tissue and begin probing spatial structure. However, current methods for analysing such data are designed for non-spatial data and ignore spatial information. We present SpatialSort, a spatially aware Bayesian clustering approach that allows for the incorporation of prior biological knowledge. SpatialSort clusters cells by accounting for affinities of cells of different types to neighbours in space. Additionally, by incorporating prior information about cell types, SpatialSort outperforms current methods and can perform automated annotation of clusters.

bioinformatics↗

Nonlinear effect of light intensity on normal axial development of rhesus monkeys

PurposeTo investigate the effects of different indoor lighting intensity (500 lx, 750 lx and 1,000 lx) on normal ocular axial length growth by using juvenal rhesus monkeys. MethodsTwenty-four juvenile monkeys were exposed continuously to normal intensity light (NIL, 500 lx, n=16), medium intensity light (MIL, 750 lx, n=8) and high intensity light (HIL, 1 000 lx, n=8), with a same CCT value (about 3000 K) for 246 days. Axial length, anterior chamber depth, corneal curvature radius were measured at about a monthly interval. ResultsAfter 246 days of light exposure, the growth of axial length of the MIL group (750 lx) were 0.151 {+/-} 0.081 mm and 0.139 {+/-} 0.070 mm in the right and left eyes, respectively, and significantly larger in comparison with the NIL group (500lx, OD: 0.068 {+/-} 0.055 mm, OS: 0.074 {+/-} 0.057 mm) and the HIL group (1000lx,OD:0.063 {+/-} 0.093 mm, OS: 0.084 {+/-} 0.052 mm) monkeys. This effect was stable and robust during the whole experimental period. ConclusionThe effects of different intensity lighting on normal ocular axial development was not linear as most people currently think. We must be cautious when it comes to elevate light intensity in classrooms. Whether this conclusion is correct under lights of other CCT value needs further study.

developmental biology↗

Distinct Single-cell Immune Ecosystems Distinguish True and De Novo HBV-related Hepatocellular Carcinoma Recurrences

Revealing differential tumor immune microenvironment (TIME) characteristics between true versus de novo hepatocellular carcinoma (HCC) recurrence could help optimal development and use of immunotherapies. Here, we studied the TIME of recurrent HBV-related HCCs by 5and VDJ single-cell and bulk RNA-sequencing, flow cytometry, and multiplexed immunofluorescence. Analyses of mutational profiles, evolutionary trajectories, and clonal architecture using whole-exome sequencing identified de novo versus true recurrences, some of which occurred before clinical diagnosis. The TIME of truly recurrent HCCs was characterized by an increased abundance in KLRB1+CD8+ T cells with memory phenotype and low cytotoxicity. In contrast, we found an enrichment in cytotoxic and exhausted CD8+ T cells in the TIME of de novo recurrent HCCs. Transcriptomic and interaction analyses showed an upregulated GDF15 expression level on HCC cells in proximity to dendritic cells, which may have dampened antigen presentation and inhibited anti-tumor immunity in the TIME of truly recurrent lesions. In contrast, we found that myeloid cells crosstalk with T cells mediated T cell exhaustion and immunosuppression in the TIME of de novo recurrent HCC. In conclusion, our results support genomic diagnosis and immune profiling for guiding immunotherapy implementation based on the type of HCC recurrence and TIME. HighlightsO_LITruly recurrent lesions are seeded before primary tumor diagnosis, and that de novo cancer can occur earlier than the clinically used 2-year limit. C_LIO_LIScRNA-seq unravels distinct immune ecosystems in true versus de novo HCC recurrences, highlighting the need for different immunotherapy strategies for two types of HCC recurrence. C_LIO_LICD8+ T cells in de novo recurrence displayed cytotoxic and exhausted phenotypes while those in truly recurrent lesions showed a memory phenotype with weak cytotoxicity. C_LIO_LIHCC cells expressing the inhibitory molecule GDF15 were in the proximity of DCs only in truly recurrent lesions. C_LIO_LIHigh GDF15 expression level was associated with truly recurrent HCC and worse prognosis. C_LI Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=186 SRC="FIGDIR/small/494526v1_ufig1.gif" ALT="Figure 1"> View larger version (71K): org.highwire.dtl.DTLVardef@1b76bf0org.highwire.dtl.DTLVardef@10f889aorg.highwire.dtl.DTLVardef@d16b52org.highwire.dtl.DTLVardef@dceb7a_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

Disease-modifying effects of sodium selenate in a model of drug-resistant, temporal lobe epilepsy.

There are no pharmacological disease-modifying treatments that can mitigate the seizures and comorbidities associated with established chronic temporal lobe epilepsy (TLE). This study evaluated the effect of sodium selenate in the post-status epilepticus (SE) rat model of chronic drug resistant TLE. Wistar rats underwent kainic acid-induced SE or sham. Ten-weeks post-SE, rats were randomly assigned to receive either sodium selenate, levetiracetam, or vehicle treatments continuously for 4 weeks. To evaluate the effects of the treatments, 1 week of continuous video-EEG was acquired before, during, and 4, 8 weeks post-treatment, followed by behavioral tests. Targeted and untargeted proteomics and metabolomics were performed on post-mortem brain tissue to identify potential pathways associated with modified disease outcomes. Telomere length was investigated as a novel surrogate marker of disease severity. Sodium selenate treatment was able to mitigate disease severity, reducing the number of spontaneous seizures (p< 0.05), cognitive dysfunction (p< 0.05 in both novel object placement and recognition tasks), and sensorimotor deficits (p< 0.01) 8 weeks post-treatment cessation. Moreover, increased protein phosphatase 2A (PP2A) expression, reduced hyperphosphorylated tau, and reversed telomere length shortening caused by SE (p< 0.05). Network medicine integration of multi-omics/ pre-clinical outcomes identified protein-metabolite modules positively correlated with the TLE phenotype. Our results provide evidence that treatment with sodium selenate results in a sustained disease modifying effect in chronically epileptic rats in the post-KA SE model of TLE, including improved comorbid learning and memory deficits.

neuroscience↗

MEAHNE: MiRNA-disease association prediction based on semantic information in heterogeneous networks

Prior studies have suggested close associations between miRNAs and diseases. Correct prediction of potential miRNA-disease pairs by computational methods is able to greatly accelerate the experimental process in biomedical research. However, many methods cannot effectively learn the complex information in the multi-source data, and limits the performance of the prediction model. A heterogeneous network prediction model MEAHNE is proposed to make full use of the complex information in multi-source data. We first constructed a heterogeneous network using miRNA-disease associations, miRNA-gene associations, disease-gene associations, and gene-gene associations. Because the rich semantic information in the heterogeneous network contains a lot of relational information of the network. To mine the relational information in heterogeneous network, we use neural networks to extract semantic information in metapath instances. We encode the obtained semantic information into weights using the attention mechanism, and use the weights to aggregate nodes in the network. At the same time, we also aggregate the semantic information in the metapath instances into the nodes associated with the instances, which can make the node embedding have excellent ability to represent the network. MEAHNE optimizes parameters through end-to-end training. MEAHNE is compared with other state-of-the-art heterogeneous graph neural network methods. The values of area under precision-recall curve and receiver operating characteristic curve show the superiority of MEAHNE. Additionally, MEAHNE predicted 50 miRNAs for lung cancer and esophageal cancer each and verified 49 miRNAs associated with lung cancer and 44 miRNAs associated with esophageal cancer by consulting relevant databases. MEAHNE has good performance and interpretability by experimental verification.

bioinformatics↗

Chaotic dynamics in spatially distributed neuronal networks generate population-wide shared variability

Neural activity in the cortex is highly variable in response to repeated stimuli. Population recordings across the cortex demonstrate that the variability of neuronal responses is shared among large groups of neurons and concentrates in a low dimensional space. However, the source of the populationwide shared variability is unknown. In this work, we analyzed the dynamical regimes of spatially distributed networks of excitatory and inhibitory neurons. We found chaotic spatiotemporal dynamics in networks with similar excitatory and inhibitory projection widths, an anatomical feature of the cortex. The chaotic solutions contain broadband frequency power in rate variability and have distancedependent and low-dimensional correlations, in agreement with experimental findings. In addition, rate chaos can be induced by globally correlated noisy inputs. These results suggest that spatiotemporal chaos in cortical networks can explain the shared variability observed in neuronal population responses.

neuroscience↗

Phenethylamine-producing gut bacteria induces diarrhea-predominant irritable bowel syndrome by increasing serotonin biosynthesis

Despite the strong association between gut microbial dysbiosis, serotonin (5-HT) dysregulation and diarrhea-predominant irritable bowel syndrome (IBS-D), the mechanism by which changes in the gut microbiota contribute to the pathogenesis of IBS-D, particularly the role of dysregulated 5-HT production, remains unclear. The present study identified Ruminococcus gnavus in the human gut microbiota as a key risk factor of IBS-D. R. gnavus was significantly enriched in IBS-D patients and exhibited positive correlation with serum 5- HT level and severity of diarrhea symptoms. We showed that R. gnavus induced diarrhea-like symptoms in mice by promoting microbial shunting of essential aromatic amino acids to aromatic trace amines including phenethylamine and tryptamine, thereby stimulating the biosynthesis of peripheral 5-HT, a potent stimulator for gastrointestinal transit. This study identify gut-microbial metabolism of dietary amino acids as a cause of IBS-D and lays a foundation for developing novel therapeutic target for the treatment of IBS-D. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/483096v1_ufig1.gif" ALT="Figure 1"> View larger version (38K): org.highwire.dtl.DTLVardef@48400aorg.highwire.dtl.DTLVardef@1645aedorg.highwire.dtl.DTLVardef@18d878dorg.highwire.dtl.DTLVardef@be4b30_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

Gut microbiota-derived tryptamine impairs insulin sensitivity

Gut-microbiota plays a pivotal role in development of type 2 diabetes (T2D), yet the molecular mechanism remains elusive. Here, we show that tryptamine, a microbial metabolite of tryptophan, impairs glucose tolerance and insulin sensitivity. Tryptamine presents a higher level in monkeys with spontaneous diabetes and human with T2D and positively correlated with the glucose tolerance. In parallel, tryptamine level was suppressed by dietary fibers intervention in T2D subjects and negatively correlated with improvement of glucose tolerance. The inhibitory effect of tryptamine on insulin signaling as shown was dependent on a trace amine-associated receptor 1 (TAAR1)-extracellular signal-regulated kinase (ERK) signaling axis. Monoassociation of T2D-associated tryptamine-producing bacteria Ruminococcus gnavus impairs insulin sensitivity in pseudo germ-free mice. Our findings indicate gut microbiota-derived tryptamine contributes to the development of insulin resistance in T2D and may serve as a new target for intervention. Graphical Abstract O_FIG_DISPLAY_L [Figure 1] M_FIG_DISPLAY C_FIG_DISPLAY

microbiology↗

Metabolic Engineering of Oleaginous Yeast Rhodotorula toruloides for Overproduction of Triacetic Acid Lactone

The plant-sourced polyketide triacetic acid lactone (TAL) has been recognized as a promising platform chemical for the biorefinery industry. However, its practical application was rather limited due to low natural abundance and inefficient cell factories for biosynthesis. Here we report the metabolic engineering of oleaginous yeast Rhodotorula toruloides for TAL overproduction. We first introduced a 2-pyrone synthase gene from Gerbera hybrida (GhPS) into R. toruloides and investigated the effects of different carbon sources on TAL production. We then systematically employed a variety of metabolic engineering strategies to increase the flux of acetyl-CoA by enhancing its biosynthetic pathways and disrupting its competing pathways. We found that overexpression of citrate lyase (ACL1) improved TAL production by 45% compared to the GhPS overexpressing strain, and additional overexpression of acetyl-CoA carboxylase (ACC1) further increased TAL production by 29%. Finally, we characterized the resulting strain I12-ACL1-ACC1 using fed-batch bioreactor fermentation in glucose or oilcane juice medium with acetate supplementation and achieved a titer of 28 g/L or 23 g/L TAL, respectively. This study demonstrates that R. toruloides is a promising host for production of TAL and other acetyl-CoA-derived polyketides from low-cost carbon sources. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=57 SRC="FIGDIR/small/481788v1_ufig1.gif" ALT="Figure 1"> View larger version (12K): org.highwire.dtl.DTLVardef@32eb52org.highwire.dtl.DTLVardef@f786dborg.highwire.dtl.DTLVardef@b6d3f5org.highwire.dtl.DTLVardef@115aa67_HPS_FORMAT_FIGEXP M_FIG C_FIG Triacetic acid lactone (TAL) is a promising platform chemical. Cao et al. overexpressed 2-pyrone synthase in oleaginous yeast Rhodotorula toruloides to produce TAL. They systematically evaluated various metabolic gene targets to increase acetyl-CoA and malonyl-CoA levels for TAL production and found that overexpression of both ACL1 and ACC1 led to 28 g/L or 23 g/L of TAL from glucose or oilcane juice with acetate supplementation, respectively, in fed-batch fermentation.

synthetic biology↗

A novel intranasal administration adenoviral vector-based platform for rapid COVID-19 vaccine development

The coronavirus SARS-CoV-2 has a severe impact on global public health, and the emerging variants threaten the efficacy of the circulating vaccines. Here, we report that a single vaccination with a non-replicating chimpanzee adenovirus-based vaccine against the SARS-CoV-2 Delta variant (JS1-delta) elicits potent humoral, cellular and mucosal immunity in mice. Additionally, a single intranasal administration of JS1-delta provides effective protection against the Delta (B.1.617.2) variant challenge in mice. This study indicates that chimpanzee adenovirus type 3 (ChAd3) derived vector represents a promising platform for antiviral vaccine development against respiratory infections and JS1-delta is worth further investigation in human clinical trials. HighlightsO_LIA new chimpanzee adenoviral vaccine against the SARS-CoV-2 Delta variant was developed. C_LIO_LIThe vaccine elicited potent humoral, cellular and mucosal immunity in mice. C_LIO_LIThe vaccine protected mice from the Delta variant challenge. C_LI

immunology↗