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Gene 1.0 st array

Manufactured by Thermo Fisher Scientific
Sourced in United States

The Gene 1.0 ST arrays are a microarray-based platform designed for gene expression analysis. The arrays provide comprehensive coverage of the human, mouse, or rat transcriptome, allowing for the simultaneous measurement of the expression levels of thousands of genes. The core function of the Gene 1.0 ST arrays is to enable researchers to perform global gene expression profiling experiments.

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16 protocols using gene 1.0 st array

1

Evaluating Transcriptomic Changes Under RAD51 Suppression

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Impact of moderate and strong suppression of RAD51 on genomewide
expression was demonstrated as described previously [35 (link)]. Transduced cells
were harvested at day seven after selection, total RNA isolated, and expression
profile evaluated using Gene 1.0 ST Arrays (Affymetrix, Santa Clara, CA). Gene
arrays were scanned on an Affymetrix scanner to obtain expression values, which
were normalized by dChip Analyzer, the software which uses “Invariant
Set” normalization and “model-based” approaches to make
arrays comparable and calculate normalized expression values[36 (link), 37 (link)].
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2

Evaluating Transcriptomic Changes Under RAD51 Suppression

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Impact of moderate and strong suppression of RAD51 on genomewide
expression was demonstrated as described previously [35 (link)]. Transduced cells
were harvested at day seven after selection, total RNA isolated, and expression
profile evaluated using Gene 1.0 ST Arrays (Affymetrix, Santa Clara, CA). Gene
arrays were scanned on an Affymetrix scanner to obtain expression values, which
were normalized by dChip Analyzer, the software which uses “Invariant
Set” normalization and “model-based” approaches to make
arrays comparable and calculate normalized expression values[36 (link), 37 (link)].
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3

Global Gene Expression Profiling

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Global gene expression profiles were generated with Gene 1.0 ST arrays (Affymetrix). Biotinylated cDNA was generated from cDNA with the NuGEN Encore Biotin kit (NuGEN). The microarray probe intensity files were analyzed with the Affymetrix PLIER algorithm to produce normalized signals for the probe sets.
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4

Palmitate-Induced Transcriptome Analysis

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After 24 h of treatment with 250 μM palmitate or vehicle control, cells were harvested by trypsinization and total RNA was extracted using the RNeasy mini kit (Qiagen, Valencia, CA). The quality and the concentrations of total RNA were assessed using the Agilent Bioanalyzer (Agilent Technologies, Santa Clara, CA). Total RNA (100 ng) deemed to be of good quality (RNA integrity number (RIN) greater than 8) was processed according to the standard Affymetrix Whole Transcript Sense Target labeling protocol (Affymetrix, Santa Clara, CA). The fragmented biotin-labeled cDNA from three independent biological replicates was hybridized over 16 h to Affymetrix Gene 1.0 ST arrays and scanned on an Affymetrix Scanner 3000 7G using AGCC software. The resulting CEL files were analyzed for quality using Affymetrix Expression Console software and were imported into GeneSpring GX11.5 (Agilent Technologies) where the data was quantile normalized using PLIER and baseline transformed to the median of the control samples. The probe sets were further filtered to exclude the bottom 20th percentile across all samples as well as probe sets with expression levels with CV > 20 % across all replicates in a condition. The resulting entity list was subjected to a t-test with Benjamini-Hochberg FDR correction. The data files have been deposited in Array Express, Accession number: E-MTAB-2601.
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5

Transcriptional Profiling of CD4+ T Cell Subsets

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Naïve CD4+ T cells were cultured in TH0, TH1, TH2, or TH17 conditions for 4 days and stimulated for 4 hours with PMA and ionomycin before total RNA was isolated (E.Z.N.A. MicroElute Total RNA Kit, Omega Bio-Tek). RNA was amplified (Ovation PicoSL WTA System V2, Nugen), labeled (Encore Biotin Module, Nugen), fragmented, and hybridized to Affymetrix Gene 1.0ST arrays. Array data were imported into Arraystar 5 software (DNAstar) and then normalized using the robust multi-array analysis method with quantile normalization. Probesets were curated according to a validated gene annotation, and only these probesets were utilized in subsequent analyses. Correlation analysis was performed using Arraystar 5. Heat maps were generated using GENE-E software (Broad Institute, http://www.broadinstitute.org/cancer/software/GENE-E/). For analysis of GSE1430864 (link), which was performed on Affymetrix Mouse Genome 430 2.0 arrays, we also used the robust multi-array analysis method with quantile normalization using Arraystar 5 software.
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6

Microarray Analysis of p53 and ARF Signaling

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RNA was isolated from dp53R-shSCR or dp53R-shARF MEFs using a Nucleospin RNA II Kit (Clonetech). RNA samples from three independent experiments were submitted to the Genome Technology Access Center at Washington University School of Medicine for microarray analysis. Affymetrix Gene 1.0ST Arrays were used and data was processed in Affymetrix Expression Console (Affymetrix version) using RMA(Robust Multi-chip Average) algorithm. Differential expression analysis was performed using Significant Analysis of Microarrays (SAM) and a list of differentially expressed genes exhibiting fold changes greater than 2 was generated. Pathway analysis was performed using MetaCore software (Thomson Reuters).
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7

Transcriptome Analysis of Leukemic Mouse Cells

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Bone marrow cells from mouse E2A-PBX1 leukemic mice and B-cell progenitors (lin-CD19+CD43+) from wild-type and preleukemic mice (GFP- or GFP+) were used. Healthy preleukemic mice were defined as 3-month-old transgenic mice without any sign of disease. RNA used for microarray analysis was prepared using an RNeasy Mini kit (QIAGEN). Gene 1.0 ST arrays (Affymetrix) were used according to the manufacturer's instructions. Normalizations of CEL file data, comparison between groups and generation of heatmaps were performed using software Nexus Expression (Biodiscover, Hawthorne, CA, USA). The Gene Expression Omnibus (http://ncbi.nlm.nih.gov/geo) accession number for the microarray raw data reported in this article is GSE81010.
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8

Transcriptional Profiling of CD4+ T Cell Subsets

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Naïve CD4+ T cells were cultured in TH0, TH1, TH2, or TH17 conditions for 4 days and stimulated for 4 hours with PMA and ionomycin before total RNA was isolated (E.Z.N.A. MicroElute Total RNA Kit, Omega Bio-Tek). RNA was amplified (Ovation PicoSL WTA System V2, Nugen), labeled (Encore Biotin Module, Nugen), fragmented, and hybridized to Affymetrix Gene 1.0ST arrays. Array data were imported into Arraystar 5 software (DNAstar) and then normalized using the robust multi-array analysis method with quantile normalization. Probesets were curated according to a validated gene annotation, and only these probesets were utilized in subsequent analyses. Correlation analysis was performed using Arraystar 5. Heat maps were generated using GENE-E software (Broad Institute, http://www.broadinstitute.org/cancer/software/GENE-E/). For analysis of GSE1430864 (link), which was performed on Affymetrix Mouse Genome 430 2.0 arrays, we also used the robust multi-array analysis method with quantile normalization using Arraystar 5 software.
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9

Affymetrix Gene 1.0 ST Array Protocol

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Affymetrix Human Gene 1.0 ST Arrays were processed according to the Affymetrix Expression Analysis Whole Transcript (WT) Sense Target Labeling Protocol (Affymetrix, Inc.). Briefly, total RNA (300 ng) was converted to double-strand cDNA. cRNA was obtained by an in vitro transcription reaction and used as the template for generating a new first-strand cDNA. The cDNA was fragmented, end-labeled with biotin and hybridized to the array for 16 h at 45 °C using the GeneChip Hybridization Oven 640 (Affymetrix, Inc.). Washing and staining with streptavidin–phycoerythrin was performed using the GeneChip Fluidics Station 450 and the images acquired using the Affymetrix Scanner 3000 7G Plus (Affymetrix, Inc.). The data were normalized using quantile normalization with the RMA algorithm for gene-level intensities and the ratio determined for each gene using Partek Genomics Suite (Partek Inc., St. Louis, MO, USA). Total RNA was processed at the microarray facility from the center for applied genomics at Public Health Research Institute in New Jersey, using the Affymetrix Gene 1.0 ST Array.
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10

Comprehensive LncRNA Expression Analysis

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Five public microarray datasets (GSE15471, GSE28735, GSE62165, GSE62452, and GSE40098) were retrieved from the publically available database GEO. LncRNA expression profiling of GEO datasets was analyzed using the Affymetrix Human Genome U133 Plus 2.0 Array platform, Gene 1.0 ST Array (Affymetrix, Santa Clara, CA) and Agilent‐014850 Whole Human Genome Microarray 4 × 44K G4112F. The recent release of the HG‐U133Plus2 array includes 6492 probe sets corresponding to 5563 lncRNAs. R software and packages were used to preprocess RNA sequencing and microarray data.
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