Source tracing of GMM contaminations in food enzyme products
Ontology highlight
ABSTRACT: Strain-level deconvolution and phylogenomic investigation using metagenomics on commercial fermentation products allows source tracing of genetically modified microorganism contaminations
Project description:Retinal organoids have become valuable 3D model for translational and developmental research. The knowledge of the limitations of the system ensures its sensible use. All retinal cell types originate from the differentiation of retinal progenitor cells. The properties of retinal progenitors in 3D culture systems are not well studied. In our project, we created a mouse stem cell line with a Rax-mCherry reporter construct that allows retinal progenitors' isolation, tracing, and in vitro imaging during retinogenesis. For proteomic analysis, we used mCherry-positive cells from dissociated embryoid bodies with formed eye field structures on the fourth day after stem cell aggregation. Information about protein content helped to characterize Rax-expressing cells at this stage and their suitability for further applications.
Project description:To study the dynamics of GBM resistance and identify potential synergistic targets , we transfected PDGFR-amplified, patient-derived glioma neurospheres (TS543) with a barcoded lineage tracing library (CellTag), and treated the neurospheres with ispinesib. These genetically-modified, patient-derived neurospheres, which recapitulate key aspects of GBM heterogeneity, allow for surveillance of resistant phenotype on multiple timescales, and the barcode lineage tracing allows us to selectively analyze clones that are destined for resistance in the drug-naïve setting. We analyzed the phenotypes of the glioma cells during the long-term ispinesib treatment with single-cell RNAseq (scRNAseq), assess the stability and survival impact of drug-resistant phenotypes in the absence of drug and in orthotopic xenografts, and identified molecular markers of resistant clones in the drug-naïve setting to nominate effective drug combination.
Project description:System-wide metabolic homeostasis is crucial for maintaining physiological functions of living organisms. Stable-isotope tracing metabolomics allows to unravel metabolic activity quantitatively by measuring the isotopically labeled metabolites, but has been largely restricted by coverage. Yet, delineating system-wide metabolic homeostasis at the whole-organism level remains non-trivial. Here, we develop a global isotope tracing metabolomics technology to measure labeled metabolites with a metabolome-wide coverage. Using Drosophila as an aging model organism, we probe the in vivo tracing kinetics with quantitative information on labeling patterns, extents and rates on a metabolome-wide scale. We curate a system-wide metabolic network to characterize metabolic homeostasis and disclose a system-wide loss of metabolic coordinations that impacts both intra- and inter-tissue metabolic homeostasis significantly during Drosophila aging. Importantly, we reveal an unappreciated metabolic diversion from glycolysis to serine metabolism and purine metabolism as Drosophila aging. The developed technology facilitates a system-level understanding of metabolic regulation in living organisms.
Project description:Campylobacter jejuni is the leading cause of bacterial gastro-enteritis in the developed world. It is thought to infect 2-3 million people a year in the US alone, at a cost to the economy in excess of US $4 billion. C. jejuni is a widespread zoonotic pathogen that is carried by animals farmed for meat and poultry. A connection with contaminated food is recognized, but C. jejuni is also commonly found in wild animals and water sources. Phylogenetic studies have suggested that genotypes pathogenic to humans bear greatest resemblance to non-livestock isolates. Moreover, seasonal variation in campylobacteriosis bears the hallmarks of water-borne disease, and certain outbreaks have been attributed to contamination of drinking water. As a result, the relative importance of these reservoirs to human disease is controversial. We use multilocus sequence typing to genotype 1,231 cases of C. jejuni isolated from patients in Lancashire, England. By modeling the DNA sequence evolution and zoonotic transmission of C. jejuni between host species and the environment, we assign human cases probabilistically to source populations. Our novel population genetics approach reveals that the vast majority (97%) of sporadic disease can be attributed to animals farmed for meat and poultry. Chicken and cattle are the principal sources of C. jejuni pathogenic to humans, whereas wild animal and environmental sources are responsible for just 3% of disease. Our results imply that the primary transmission route is through the food chain, and suggest that incidence could be dramatically reduced by enhanced on-farm biosecurity or preventing food-borne transmission.
Project description:<p>System-wide metabolic homeostasis is crucial for maintaining physiological functions of living organisms. Stable-isotope tracing metabolomics allows to unravel metabolic activity quantitatively by measuring the isotopically labeled metabolites, but has been largely restricted by coverage. Yet, delineating system-wide metabolic homeostasis at the whole-organism level remains non-trivial. Here, we develop a global isotope tracing metabolomics technology to measure labeled metabolites with a metabolome-wide coverage. Using Drosophila as an aging model organism, we probe the in vivo tracing kinetics with quantitative information on labeling patterns, extents and rates on a metabolome-wide scale. We curate a system-wide metabolic network to characterize metabolic homeostasis and disclose a system-wide loss of metabolic coordinations that impacts both intra- and inter-tissue metabolic homeostasis significantly during Drosophila aging. Importantly, we reveal an unappreciated metabolic diversion from glycolysis to serine metabolism and purine metabolism as Drosophila aging. The developed technology facilitates a system-level understanding of metabolic regulation in living organisms.</p>
Project description:An electrostatic model based on charge density is proposed as a model for future force fields. The model is composed of a nucleus and a single Slater-type contracted Gaussian multipole charge density on each atom. The Gaussian multipoles are fit to the electrostatic potential (ESP) calculated at the B3LYP/6-31G* and HF/aug-cc-pVTZ levels of theory and tested by comparing electrostatic dimer energies, inter-molecular density overlap integrals, and permanent molecular multipole moments with their respective ab initio values. For the case of water, the atomic Gaussian multipole moments Q(lm) are shown to be a smooth function of internal geometry (bond length and bond angle), which can be approximated by a truncated linear Taylor series. In addition, results are given when the Gaussian multipole charge density is applied to a model for exchange-repulsion energy based on the inter-molecular density overlap.
Project description:This lineage tracing experiment focused on studying the transcriptome of cardiac myeloid cells derived from BM HSCs post-MI. We performed Left coronary artery ligation (LAD) in a tamoxifen-inducible in vivo HSC-lineage tracing mouse model which allows HSC-progeny lineage tracing via Tomato expression (Fgd5-CreERT2 tdTomato; PMID: 30561324). This was followed by a 2-day treatment with either vehicle (DMSO) or 4-oxo-RA. On day 3 post-MI, hearts were extracted, and tdTomato-positive and tdTomato-negative myeloid cells (CD11b+) were isolated from the myocardium. scRNA-seq was performed.