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7 protocols using 244k array

1

GBM Molecular Subtypes Protocol

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The second GBM dataset analyzed for the present study is available as supplementary material of a recent study[27 (link)]. Data include microarray expression profiles of 173 core TCGA samples unified and scaled from three gene expression platforms (Affymetrix HuEx array, Affymetrix U133A array, and Agilent 244K array). The authors of this study described a robust gene expression-based molecular classification of GBM into Proneural, Neural, Classical, and Mesenchymal subtypes and integrate multidimensional genomic data to establish patterns of somatic mutations and DNA copy number. Aberrations and gene expression of EGFR, NF1, PDGFRA/IDH1, and neuron markers (e.g. NEFL, GABRA1, SYT1, SLC12A5) each define the Classical, Mesenchymal, Proneural and Neural subtypes, respectively.
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2

Correlating GRN mRNA and STAT3 Signatures

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Level 3 mRNA expression (Agilent 244k array) and clinical parameters were downloaded from The Cancer Genome Atlas (TCGA) breast carcinoma dataset on October 18, 2013. A second set of previously published gene expression data for 129 breast tumors profiled using Affymetrix U133p2.0 microarrays were downloaded from the Gene Expression Omnibus (GSE5460). PhosphoSTAT3 immunohistochemistry for the corresponding tissue microarrays were previously reported [44 ]. Correlation analysis between the mRNA levels of GRN and genes in STAT3 expression signatures were conducted with GraphPad Prism 6 Software (La Jolla, CA). The significance of the correlation was calculated using Pearson's correlation. Kaplan-Meier survival analyses were performed with GraphPad Prism 6 Software. Differences in observed survival between groups were tested for significance using the log-rank (Mantel-Cox) test.
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3

Xenograft Genomic Profiling by CGH

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Genomic DNA was isolated from xenografts before the serial transplants (P0), after the first (P1) and the fifth transplantations (P5), using DNeasy extraction kit (Qiagen, France) according to the manufacturer's instructions. The percentage of mouse and human component was determined by quantitative PCR (qPCR) using species-specific primers. CGH labeling and hybridization were performed using high-density 244K arrays (Agilent, France). Sample DNAs were labeled with Cy5-dUTP and Cy3-dUTP, respectively. Labeled products were purified with Microcon YM-30 filters (Millipore, Billerica, MA). Arrays were scanned with an Agilent DNA Microarray Scanner (G2565BA). Log2 ratios were determined with Agilent Feature Extraction software (v9.1.3.1). The global quality of the individual microarrays was validated against the quality metrics (QCmetrics) provided in this software. Results were analyzed with Agilent's CGH Analytics v3.5 software. Copy number aberrations (CNA) were detected using the Aberration Detection Method algorithm 2 (ADM-2) with a threshold of 6. At least two contiguous suprathreshold probes were required to define a chromosomal abnormality. Percent of chromosomal abnormalities was defined as the number of CNA upon total number of probes.
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4

TCGA Breast Carcinoma Data Analysis

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Datasets were downloaded from the TCGA breast carcinoma web site (https://tcga-data.nci.nih.gov/docs/publications/brca_2012/) [4 (link)] (Table 1). Gene expression data by Agilent 244 K arrays were available for 547 cases. DNA copy number alteration data by Affymetrix 6.0 SNP arrays were available for 466 cases. Somatic mutation data by whole exome sequencing were available on 463 cases. The TCGA PAM50 subtype classification was downloaded also from the same site. A sample list is provided in Additional file 2: (TCGA sample ID.xlsx).
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5

Array CGH Analysis of DNA Samples

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Array CGH analysis was performed using standard methods described [5 (link)]. In brief, 300 ng of genomic DNA was labeled with Cy3-dCTP or Cy5-dCTP (GE Healthcare, Belgium) using Bioprime array CGH genomic labeling system (Invitrogen, Belgium). For the labeling, we used the “triangle method”: DNA samples from patients and controls were labeled and hybridized using a dye swap in trios consisting of at least one control per triangle. Samples were hybridized on 244K arrays (design ID 014693, Agilent, Belgium) for 40 h at 65°C. After washing, the samples were scanned at 5 μm resolution using a DNA microarray scanner G2505B (Agilent, Belgium). The scan images were analyzed using the feature extraction software 9.5.3.1 (Agilent) and further analyzed with “arrayCGHbase” [6 (link)]. Copy number variations were taken into consideration when two or more flanking probes were exceeding a value of the intensity ratios ± four times the standard deviation of log2 of all intensity ratios for that experiment. Always two experiments investigating the same sample with a dye swap were compared and only when an alteration is present in both experiments was the region included for further analysis. Inconsistencies were inspected manually.
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6

Genomic DNA Profiling via aCGH

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aCGH was performed on cell lines using Agilent 244K arrays (G4411B) following the manufacturer’s protocol for enzymatic labelling. In brief 1.5–3μg of genomic DNA was labelled using the Agilent Genomic DNA Labelling Kit (5188–5309). The samples were labelled with Cy5 and co-hybridized with a pool of male reference DNA labelled with Cy3 (Promega G1471). Following a post-hybridization wash, the arrays were scanned on an Agilent scanner and analyzed with Feature extraction 9.1 software. The aCGH data was analyzed using CGH Analytics 3.4 software (Agilent).
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7

Somatic Variant Detection by aCGH

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Array-based comparative genomic hybridization (aCGH) was performed using Agilent 244-k arrays as previously described [23 (link)]. CNVs that were present in the matching normal sample were filtered, and the remaining CNVs were regarded as somatic variants.
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