69 research outputs found

    Insulation of a synthetic hydrogen metabolism circuit in bacteria

    Get PDF
    <p>Abstract</p> <p>Background</p> <p>The engineering of metabolism holds tremendous promise for the production of desirable metabolites, particularly alternative fuels and other highly reduced molecules. Engineering approaches must redirect the transfer of chemical reducing equivalents, preventing these electrons from being lost to general cellular metabolism. This is especially the case for high energy electrons stored in iron-sulfur clusters within proteins, which are readily transferred when two such clusters are brought in close proximity. Iron sulfur proteins therefore require mechanisms to ensure interaction between proper partners, analogous to many signal transduction proteins. While there has been progress in the isolation of engineered metabolic pathways in recent years, the design of insulated electron metabolism circuits <it>in vivo </it>has not been pursued.</p> <p>Results</p> <p>Here we show that a synthetic hydrogen-producing electron transfer circuit in <it>Escherichia coli </it>can be insulated from existing cellular metabolism via multiple approaches, in many cases improving the function of the pathway. Our circuit is composed of heterologously expressed [Fe-Fe]-hydrogenase, ferredoxin, and pyruvate-ferredoxin oxidoreductase (PFOR), allowing the production of hydrogen gas to be coupled to the breakdown of glucose. We show that this synthetic pathway can be insulated through the deletion of competing reactions, rational engineering of protein interaction surfaces, direct protein fusion of interacting partners, and co-localization of pathway components on heterologous protein scaffolds.</p> <p>Conclusions</p> <p>Through the construction and characterization of a synthetic metabolic circuit <it>in vivo</it>, we demonstrate a novel system that allows for predictable engineering of an insulated electron transfer pathway. The development of this system demonstrates working principles for the optimization of engineered pathways for alternative energy production, as well as for understanding how electron transfer between proteins is controlled.</p

    Towards a Synthetic Chloroplast

    Get PDF
    The evolution of eukaryotic cells is widely agreed to have proceeded through a series of endosymbiotic events between larger cells and proteobacteria or cyanobacteria, leading to the formation of mitochondria or chloroplasts, respectively. Engineered endosymbiotic relationships between different species of cells are a valuable tool for synthetic biology, where engineered pathways based on two species could take advantage of the unique abilities of each mutualistic partner.We explored the possibility of using the photosynthetic bacterium Synechococcus elongatus PCC 7942 as a platform for studying evolutionary dynamics and for designing two-species synthetic biological systems. We observed that the cyanobacteria were relatively harmless to eukaryotic host cells compared to Escherichia coli when injected into the embryos of zebrafish, Danio rerio, or taken up by mammalian macrophages. In addition, when engineered with invasin from Yersinia pestis and listeriolysin O from Listeria monocytogenes, S. elongatus was able to invade cultured mammalian cells and divide inside macrophages.Our results show that it is possible to engineer photosynthetic bacteria to invade the cytoplasm of mammalian cells for further engineering and applications in synthetic biology. Engineered invasive but non-pathogenic or immunogenic photosynthetic bacteria have great potential as synthetic biological devices

    Association testing of the protein tyrosine phosphatase 1B gene (PTPN1) with type 2 diabetes in 7,883 people

    No full text
    Protein tyrosine phosphatase (PTP)-1B, encoded by the PTPN1 gene, inactivates the insulin signal transduction cascade by dephosphorylating phosphotyrosine residues in insulin signaling molecules. Due to its chromosomal location under a chromosome 20 linkage peak and the metabolic effects of its absence in knockout mice, it is a candidate gene for type 2 diabetes. Recent studies have associated common sequence variants in PTPN1 with type 2 diabetes and diabetes-related phenotypes. We sought to replicate the association of common single nucleotide polymorphisms (SNPs) and haplotypes in PTPN1 with type 2 diabetes, fasting plasma glucose, and insulin sensitivity in a large collection of subjects. We assessed linkage disequilibrium, selected tag SNPs, and typed these markers in 3,347 cases of type 2 diabetes and 3,347 control subjects as well as 1,189 siblings discordant for type 2 diabetes. Despite power estimated at > 95% to replicate the previously reported associations, no statistically significant evidence of association was observed between PTPN1 SNPs or common haplotypes with type 2 diabetes or with diabetic phenotypes

    Association testing of common variants in the insulin receptor substrate-1 gene (IRS1) with type 2 diabetes

    No full text
    Aims/hypothesis Activation of the insulin receptor substrate-1 (IRS1) is a key initial step in the insulin signalling pathway. Despite several reports of association of the G972R polymorphism in its gene IRS1 with type 2 diabetes, we and others have not observed this association in well-powered samples. However, other nearby variants might account for the putative association signal. Subjects and methods We characterised the haplotype map of IRS1 and selected 20 markers designed to capture common variations in the region. We genotyped this comprehensive set of markers in several family-based and case-control samples of European descent totalling 12,129 subjects. Results In an initial sample of 2,235 North American and Polish case-control pairs, the minor allele of the rs934167 polymorphism showed nominal evidence of association with type 2 diabetes (odds ratio [OR] 1.25, 95% CI 1.03-1.51, p=0.03). This association showed a trend in the same direction in 7,659 Scandinavian samples (OR 1.16, 95% CI 0.96-1.39, p=0.059). The combined OR was 1.20 (p=0.008), but statistical correction for the number of variants examined yielded a p value of 0.086. We detected no differences across rs934167 genotypes in insulin-related quantitative traits. Conclusion/interpretation Our data do not support an association of common variants in IRS1 with type 2 diabetes in populations of European descent

    <i>S. elongatus</i> can grow inside the macrophage cytoplasm.

    No full text
    <p>A.) Time lapse microscopy of macrophages infected with +inv+llo <i>S. elongatus</i> kept in the dark shows the gradual decrease in red autofluorescence over the course of 12 hours. In contrast, when kept in the light, B.) empty vector <i>S. elongatus</i> autofluorescence is observed to gradually decrease over the course of several days (top row), while a significant increase in red <i>S. elongatus</i> autofluorescence was observed in macrophages infected with inv llo <i>S. elongatus</i> for two days post-infection (bottom row). This fluorescence was observed to decrease after the third day of infection. C.) This change in fluorescence over time can be quantified as a change in background subtracted mean fluorescence in ImageJ and averaged over triplicate experiments. Empty vector (blue line) and +inv+llo <i>S. elongatus</i> (red line) show marked differences in growth when infected at similar densities of 1–2 bacterial cells per macrophage. D.) +inv+llo <i>S. elongatus</i> displayed infection density dependent growth rates in macrophages. Each line shows change in mean fluorescence in cells infected at a single starting density, ranging in multiples of two from fewer than one cell per macrophage to approximately 4 bacteria per macrophage. E.) Macrophage cell counts were variable across replicates and over the course of the experiment but displayed no significant difference between macrophages infected with empty vector <i>S. elongatus</i> at low (green line) or high density (blue line), or +inv+llo <i>S. elongatus</i> at low (red line) or high (yellow line) density. F.) When infected at low density of fewer than one bacteria per macrophage, <i>S. elongatus</i> division was observed during 18 hour time-lapse fluorescent microscopy in approximately 1% of macrophages observed, in particular those cells that contained more than one bacterial cell due to stochastic fluctuations.</p

    Prevalence of non-coronary heart disease in patients with familial hyperc-holesterolemia: An analysis from the HELLAS-FH

    No full text
    Aims: Despite the established link between familial hypercholesterolemia (FH) and increased risk of coronary heart disease (CHD), its association with other common atherosclerotic and metabolic diseases has not been extensively studied. The aim of this study was to report the prevalence of peripheral arterial disease (PAD) [i.e., common carotid artery disease (CCAD) and lower extremity arterial disease (LEAD)], aortic valve stenosis, chronic kidney disease (CKD) and non-alcoholic fatty liver disease (NAFLD) in patients with FH. Materials &amp; Methods: This was a cross-sectional study retrieving data from the Hellenic Familial Hypercholes-terolemia Registry (HELLAS-FH). Results: A total of 1,633 adult patients (850 males) with heterozygous FH (HeFH) were included (mean age 51.3±14.6 years at registration and 44.3±15.9 years at diagnosis). Any common carotid artery stenosis (CCAS) was diagnosed in 124 out of 569 patients with available related data (21.8%), while the prevalence of CCAD (defined as a CCAS ≥50%) was 4.2%. The median (interquartile range-IQR) CCAS was 30% (20-40), whereas the median (IQR) carotid intima-media thickness (CIMT) was 0.7 (0.1-1.4) mm. LEAD was reported in 44 patients (prevalence 2.7%). The prevalence of aortic valve stenosis and CKD was 2.0% and 6.4%, respec-tively. NAFLD was present in 24% of study participants. Conclusion: HeFH is associated with a relatively high prevalence of any CCAS and CCAD. The prevalence of LEAD, CKD and aortic valve stenosis was relatively low, whereas the prevalence of NAFLD was similar to that of the general population. © 2021 Bentham Science Publishers
    corecore