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7 protocols using wt ovation ffpe system v2

1

Measuring Gene Expression in FFPE Tissues

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To measure gene expression in archival FFPE tissue specimens, whole-transcriptome amplification using the WT-Ovation FFPE System V2 (NuGEN) was paired with microarray technologies using the GeneChip Human Gene 1.0 ST microarray (Affymetrix) as previously described.8 (link), 9 (link) Expression profiles were processed by regressing out technical variables including mRNA concentration, block age, batch (96-well plate), percentage of probes above background, log-transformed average background signal, and median of the perfect match probes for each probe intensity of the raw data. The residuals were shifted to the original mean expression values and normalized using the robust multi-array average method.10 (link), 11 (link) We mapped gene names to Affymetrix transcript cluster IDs using the NetAffx annotations as implemented in Bioconductor annotation package pd.hugene.1.0.st.v1, resulting in 20,254 unique gene names. Gene expression data are available through Gene Expression Omnibus (GSE79021).
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2

Transcriptome Profiling of FFPE Tumor Samples

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RNA was extracted from the FFPE tumor samples using RNeasy FFPE kits (Qiagen) and amplified with the WT-Ovation FFPE System V2 (NuGen). cDNA was labeled using the FL-Ovation cDNA Biotin Module V2 (Nugen). Samples were run on the Affymetrix Human Transcriptome Array (HTA) 2.0 following manufacturer’s instructions. For this workflow an Affymetrix Fluidics station 450 and Affymetrix GeneChip Scanner 3000 7G were used. Quality control and normalization was conducted using Affymetrix Expression Console. Of the 134 FFPE samples, 112 samples had sufficient RNA and met quality control criteria (Supplemental figure 1). The microarray data has been deposited in the Gene Expression Omnibus under the accession number GSE76040.
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3

RNA Amplification and Microarray Analysis

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Total RNA was amplified and labeled using the WT-Ovation FFPE System V2, WT-Ovation Exon Module, and the Encore Biotin Module (NuGEN, Inc. San Carlos, CA, USA), which enables amplification and target preparation of the low quality RNA from FFPE, LCM samples. Amplifications were performed with 100 ng total RNA input following procedures described in the WT-Ovation FFPE System user guide. Target preparation for Affymetrix Human Exon 1.0 ST Arrays (Affymetrix, Santa Clara, CA, USA) was performed using 5 μg amplified cDNA and the Encore Biotin Module following the manufacturer's recommendations. Hybridization, washing and staining (with GeneChip Fluidics Station 450, Affymetrix), and scanning (with GeneChip Scanner 3000) were performed following manufacturer's protocols. Array scans from this process yielded signal intensities comparable to arrays prepared from high quality RNA from cell lines (data not shown). This method has also been independently reported recently to provide optimal RNA hybridization [13 ].
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4

Transcriptomic profiling of lethal and indolent prostate cancer

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Hierarchical clustering and heatmaps were generated using MultiExperiment Viewer. Statistical significance was calculated using Student’s t-test. GSEA was performed as described (25 (link)). Analysis of human data was performed using cbio-portal.
For the PHS and HPFS analysis, we utilized data from a gene expression profiling study. Briefly, men were sampled from the HPFS and PHS Prostate Tumor Cohort using an extreme case design, which includes 119 men who died of their cancer or developed bony or distant metastases (“lethal”) and 282 men who lived at least 8 years after PCa diagnosis and were not diagnosed with metastases through 2012 (“indolent”). Briefly, RNA was extracted from tissue, then amplified using the WT-Ovation FFPE System V2 (NuGEN), a whole transcriptome amplification system that allows for complete gene expression analysis from archives of FFPE samples. After reverse transcription and fragmentation, the cDNA was hybridized to the Affymetrix GeneChip Human Gene 1.0 ST microarray. After normalization of the data, we mapped gene names to Affymetrix transcript cluster IDs using the NetAffx annotations as implemented in Bioconductor annotation package pd.hugene.1.0.st.v1. We compared the expression of the interstitial genes across the lethal and indolent cases using linear regression.
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5

Profiling FFPE Transcriptome using Microarray

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To conduct the profiling in FFPE tissue, whole transcriptome amplification was paired with microarray technologies. Briefly, RNA samples were extracted on a Biomek FxP automated platform using the Agencourt FormaPure FFPE kit [Cat #A33342] (Beckman Coulter Inc., Brea, CA). The mRNA was amplified using the WT-Ovation FFPE System V2 (Nugen, San Carlos, CA), a whole transcriptome amplification system that allows for complete gene expression analysis from FFPE samples known to harbor small and degraded RNA. Using a combination of 5’ and random primer, reverse transcription created a cDNA/mRNA hybrid. The mRNA was subsequently fragmented, creating binding sites for DNA polymerase. Isothermal strand-displacement, using a proprietary DNA/RNA chimeric SPIA primer, amplified the cDNA. The cDNA was then fragmented and labeled with a terminal deoxynucleotidyl transferase covalently linked to biotin to prepare for microarray hybridization. The labeled cDNA was then hybridized to a GeneChip Human Exon 1.0 ST microarray (Affymetrics, Santa Clara, CA). A pilot study was conducted to validate the reliability and reproducibility of gene expression quantification from FFPE tissues on the study platform (20 (link)).
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6

Validated mRNA Profiling Methodology

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The validated mRNA profiling methodologies were described previously [17 (link), 18 ]. Briefly, RNA was extracted from two to three 0.6-mm cores within tumor regions with high cell density (>80% cellularity) and normal tissue, then amplified using the WT-Ovation FFPE SystemV2 (Nugen, San Carlos, CA). Reverse transcription was used to create a complementary DNA (cDNA)/mRNA hybrid, then the cDNA was amplified, fragmented, and labeled for hybridization to a GeneChip Human Exon 1.0 ST microarray (Affymetrics, Santa Clara, CA). The raw probe-level data was normalized through robust multichip averaging [17 (link), 19 (link)] and probe annotation information obtained from the R package pd.hugene.1.0.st.v1 [20 ]. Probes not corresponding to genes were excluded, and where multiple probes corresponded to a single gene, the probe demonstrating the greatest variability was used. A total of 20,254 unique named genes were available. The genes comprising the specific metabolic pathways of interest were identified using the KEGG [11 (link)] and extracted from the whole transcriptome data.
The seven metabolic pathways are comprised of 444 unique genes. Of these, the expression profiles of 426 passed quality control criteria and were included in these analyses (Additional file 1: Table S1).
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7

Prostate cancer gene expression

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Whole genome gene expression was measured in tumor and adjacent normal prostate using whole-transcriptome amplification (WT-Ovation FFPE system, v2, NuGEN) paired with microarray technologies (Affymetrix GeneChip HumanGene 1.0ST microarray).17 (link) We processed the data, totaling 20,254 genes from tumor (n=229, of which n=30 were ever statin users) and normal adjacent (n=113, of which n=10 were ever statin users) tissues, as previously described.18 (link) Data are available through the Gene Expression Omnibus (GSE79021).
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