Agilent feature extraction software version 9
Agilent Feature Extraction Software version 9.5.1 is a software tool designed to analyze data from microarray experiments. The software provides automated processing of microarray image data, including identification and quantification of features on the microarray.
Lab products found in correlation
14 protocols using agilent feature extraction software version 9
Non-Coding RNA Expression Profile in STC
Microarray-based Gene Expression Profiling of Atlantic Salmon
Each hybridisation was performed using 825 ng of Cy3-labelled experimental sample and 825 ng of Cy5-labelled common control. The aRNA was first fragmented and then hybridised at 65 °C for 17 h in an Aligent hybridization oven, as described previously [29 ]. Following hybridisation, slides were subjected to washing steps, after which they were air dried in the dark and scanned within 2 h.
Scanning was carried out at 5 μm resolution on a GenePix Personal 4100A scanner (Axon Instruments, Molecular Devices Corp., Sunnyvale, CA, USA), with the PMT values adjusted manually to ensure the mean intensity ratio of Cy3:Cy5 signal was close to one. Agilent Feature Extraction Software (version 9.5.3) was used to identify features and extract raw intensity values associated with these features for subsequent statistical analysis.
Agilent Human miRNA Microarray Profiling
Microarray-based Gene Expression Profile
MELK Pathway Profiling in Glioma Cells
The human U87MG glioma cell lines transfected (1x105 cells) with oligonucleotide MELK siRNA reduced MELK expression levels by 95 and 96 % in first and second independent experiments, respectively, at the 48 h confirmed by qRT-PCR and western blotting.
Hybridisation was performed according to the protocol provided by the manufacturer (One-Color Microarray-Based Gene Expression Analysis—Quick Amp Labeling, Agilent Technologies). The images were captured by the reader Agilent Bundle according to the parameters recommended for bioarrays and extracted using Agilent Feature Extraction software version 9.5.3, considering spots with none or only one flag. The selected transcripts were analyzed with the R software version 2.11.0 (R Development Core Team, 2008) and the Lowess test was applied for array normalisation. We obtained common genes with reduced expression when MELK was silenced compared with the control considering a fold change (NTC/MELK) ≥2 in two independent assays. These genes were annotated using WebGestalt [49 (link)].
Microarray Analysis of Mouse miRNA
Mouse miRNA Expression Profiling
Microarray Analysis of RDX Exposure
Microarray Data Analysis Protocol
High-Resolution Microarray Data Analysis
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