An AICD-based functional screen to identify APP metabolism regulators-3

Copyright information:Taken from "An AICD-based functional screen to identify APP metabolism regulators"http://www.molecularneurodegeneration.com/content/2/1/15Molecular Neurodegeneration 2007;2():15-15.Published online 24 Aug 2007PMCID:PMC2071909.83-Gal4, and sAPPα levels compared to cell...

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Hauptverfasser: Zhang, Can, J Khandelwal, Preeti, Chakraborty, Ranjita, L Cuellar, Trinna, Sarangi, Srikant, A Patel, Shyam, P Cosentino, Christopher, O'Connor, Michael, C Lee, Jeremy, E Tanzi, Rudolph, J Saunders, Aleister
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Sprache:eng
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Zusammenfassung:Copyright information:Taken from "An AICD-based functional screen to identify APP metabolism regulators"http://www.molecularneurodegeneration.com/content/2/1/15Molecular Neurodegeneration 2007;2():15-15.Published online 24 Aug 2007PMCID:PMC2071909.83-Gal4, and sAPPα levels compared to cells transfected with empty vector. (B) Quantification of Western blot densitometry in panel A. (C) ADAM17 transient over-expression significantly increases ADAM17, AICD-Gal4, C83-Gal4, and sAPPα levels. (D) Quantification of Western blot densitometry in panel C. (E) Transient over-expression of individual secretase genes increases AICD-Gal4 mediated luciferase activity. Luciferase was normalized to transfection efficiency, by dividing by luciferase activity. Individual secretase over-expression plasmids were co-transfected with pRL-SV40 plasmid, expressing luciferase. Bars represent the mean normalized luciferase activity of four independent trials and error bars represent standard errors. Statistical significance was determined using two-sample, one-tail t-tests to compare each secretase gene with the empty vector, followed by sequential Bonferroni procedure to adjust for multiple comparisons. * indicates p < 0.05; ** indicates p < 0.01.
DOI:10.6084/m9.figshare.65113