Surescan microarray scanner
The SureScan Microarray Scanner is a high-performance instrument designed for the analysis of microarray data. It provides accurate and reproducible scanning of microarray slides, supporting a wide range of microarray formats and applications.
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143 protocols using surescan microarray scanner
Rat Liver and PBMC RNA Profiling
Microarray Analysis of Purified RNA
Microarray Gene Expression Analysis
Porcine and Mouse Gene Expression Microarray
miR Expression Profiling in Rat Spinal Cord
aCGH Profiling for Chromosomal Anomalies
The threshold of the absolute value of the log2 fluorescence ratio retained to define a chromosomal anomaly was 0.25. A mean log2 ratio was calculated when, for at least three probes located on contiguous positions on the chromosome, a log2 ratio absolute value greater than 0.25 and of the same sign was measured. The minimum size of the anomalies considered in the interpretation of the results was set at 1 Mb.
The different chromosomal anomalies were defined by the Cytogenomics software according to the mean log2 ratio values, as follows: homozygous deletion for a value <−1, loss of one gene copy for a value between −0.25 and −1, gain of one gene copy for a value between 0.25 and 1, and amplification (gain of at least five copies) for a value >2.
Genome-wide DNA Copy Number Analysis
Genomic Copy Number Variation Analysis
A SurePrint G3 Human CGH Microarray Kit 8 × 60 K (Agilent Technologies) was used. DNA extraction was performed using a QIAamp DNA Blood Mini Kit (QIAGEN). Slides were scanned using the SureScan Microarray Scanner (Agilent Technology) and analyzed with Feature Extraction Software v11.5 (Agilent Technology) under the designed parameters of the human reference genome hg19. Data analysis was conducted using Agilent Cytogenomics software available on the company's website (
RNA Microarray Analysis Protocol
Microarrays were scanned with a SureScan Microarray Scanner (Agilent Technologies, USA) and Agilent´s Feature Extraction software was used to detect features. Signals from control probes were removed and means of signals from replicate probes and of signals from all probes of a target were determined before normalization of the background subtracted signals. Data from all samples was quantile normalized using ranked mean quartiles [66 (link)]. Normalized data was statistically analyzed by paired analysis of variance (ANOVA) (clear cell foci vs. control samples from the same patient).
Whole Genome Expression Profiling of PLC
The data were normalized using the quantile method from the “limma” R package. The raw and normalized PLC data were submitted to the GEO database with the accession number GSE92528.
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