4 research outputs found

    Biochemical evidence for an alternate pathway in N-linked glycoprotein biosynthesis

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    Asparagine-linked glycosylation is a complex protein modification conserved among all three domains of life. Herein we report the in vitro analysis of N-linked glycosylation from the methanogenic archaeon Methanococcus voltae. Using a suite of synthetic and semisynthetic substrates, we show that AglK initiates N-linked glycosylation in M. voltae through the formation of α-linked dolichyl monophosphate N-acetylglucosamine, which contrasts with the polyprenyl diphosphate intermediates that feature in both eukaryotes and bacteria. Notably, AglK has high sequence homology to dolichyl phosphate β-glucosyltransferases, including Alg5 in eukaryotes, suggesting a common evolutionary origin. The combined action of the first two enzymes, AglK and AglC, afforded an α-linked dolichyl monophosphate glycan that serves as a competent substrate for the archaeal oligosaccharyl transferase AglB. These studies provide what is to our knowledge the first biochemical evidence revealing that, despite the apparent similarity of the overall pathways, there are actually two general strategies to achieve N-linked glycoproteins across the domains of life.National Institutes of Health (U.S.) (Grant GM039334

    Discovering metabolic disease gene interactions by correlated effects on cellular morphology

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    Objective: Impaired expansion of peripheral fat contributes to the pathogenesis of insulin resistance and Type 2 Diabetes (T2D). We aimed to identify novel disease-gene interactions for adipogenesis and insulin resistance. Methods: To this end, we mined disease associated loci for T2D, adiposity and insulin resistance for adipose expressed genes and ablated the top 100 in human pre-adipocytes via CRISPR/CAS9. The resulting cellular phenotypes were quantified during adipocyte differentiation with high-content imaging to obtain over 107 morphometric measurements. Morphologic profiles were constructed for each gene from these measurements and clustered by morphologic similarity. Results: Clustering revealed a group of 14 genes characterized by decreased lipid accumulation, and enriched with known lipodystrophy genes. For two lipodystrophy genes, BSCL2 and AGPAT2, sub-clusters with PLIN1 and CEBPA based on morphology were validated by independent experiments as novel protein-protein and gene regulatory interactions. Conclusions: Thus, a morphometric approach in adipocytes can resolve multiple cellular mechanisms for metabolic disease loci; the platform enables mechanistic interrogation of the hundreds of metabolic disease loci whose function still remains unknown
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