pronto!tm universal microarray hybridization kit (Corning Life Sciences)
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Pronto!Tm Universal Microarray Hybridization Kit, supplied by Corning Life Sciences, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/universal+microarray+hybridization+kit/universal+microarray+hybridization+kit/pmc03430573-142-2-6
Average 90 stars, based on 1 article reviews
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1) Product Images from "Detoxification enzymes associated with insecticide resistance in laboratory strains of Anopheles arabiensis of different geographic origin"
Article Title: Detoxification enzymes associated with insecticide resistance in laboratory strains of Anopheles arabiensis of different geographic origin
Journal: Parasites & Vectors
doi: 10.1186/1756-3305-5-113
Figure Legend Snippet: The volcano plot of SENN-base and SENN-DDT microarray data. The plot represents both statistical relevance, in the form of the p -value on the y -axis, and biological relevance in the form of the fold change on the x -axis. The cut-offs for significance are shown (adj. p -value ≤ 0.05; FC ≥ 1.5) and those genes that meet the criteria are labeled. Note that all positive fold change (FC) values represent genes over-transcribed in the resistant colony (SENN-DDT), while negative FC values represent the genes over transcribed in the susceptible colony (SENN-base).
Techniques Used: Microarray, Labeling
Figure Legend Snippet: The volcano plot of MBN-base and MBN-DDT microarray data. The plot represents both statistical relevance, in the form of the p -value on the y -axis, and biological relevance in the form of the fold change on the x -axis. The cut-offs for significance are shown (adj. p -value ≤ 0.05; FC ≥ 1.5) and the top eight genes that met the criteria have been labeled. Note that all positive FC values belong to the genes that are over-transcribed in the resistant colony (MBN-DDT), while negative FC values represent those of the susceptible colony (MBN-base).
Techniques Used: Microarray, Labeling
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