12 research outputs found
Serratia symbiotica alignment
This is a text file of a DNA sequence alignment in FASTA format
Hamiltonella sequence alignment
This is a text file of DNA sequence alignments in FASTA forma
Rickettsia alignment
This is a text file of a DNA sequence alignment in FASTA format
Rickettsiella viridis alignment
This is a text file of a DNA sequence alignment in FASTA format
Regiella insecticola alignment
This is a text file of sequence alignments in FASTA format
Spiroplasma alignment
This is a text file of a DNA sequence alignment in FASTA format
AppendixSI
This file is an excel database that includes data and data collection information
AppendixSI
This file is an excel database that includes data and data collection information
An AICD-based functional screen to identify APP metabolism regulators-3
<p><b>Copyright information:</b></p><p>Taken from "An AICD-based functional screen to identify APP metabolism regulators"</p><p>http://www.molecularneurodegeneration.com/content/2/1/15</p><p>Molecular Neurodegeneration 2007;2():15-15.</p><p>Published online 24 Aug 2007</p><p>PMCID:PMC2071909.</p><p></p>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
An AICD-based functional screen to identify APP metabolism regulators-8
<p><b>Copyright information:</b></p><p>Taken from "An AICD-based functional screen to identify APP metabolism regulators"</p><p>http://www.molecularneurodegeneration.com/content/2/1/15</p><p>Molecular Neurodegeneration 2007;2():15-15.</p><p>Published online 24 Aug 2007</p><p>PMCID:PMC2071909.</p><p></p>lls. (B) Ubiquilin 1 over-expression increases PS1 CTF levels in SY5Y-APP-Gal4 cells