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Affymetrix expression console software

Manufactured by Thermo Fisher Scientific
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Affymetrix Expression Console software is a data analysis tool designed for processing and analyzing gene expression data generated using Affymetrix microarray platforms. The software provides a user-friendly interface for data normalization, quality control, and the generation of gene expression summaries.

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32 protocols using affymetrix expression console software

1

Whole Blood RNA Microarray Analysis

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Whole blood RNA from the 102 samples (66 HSILs and 36 LSILs) was analyzed using Gene Profiling Array cGMP U133 P2 microarray (Affymetrix; Thermo Fisher Scientific, Inc.) following the manufacturer's instructions. Gene expression signal intensity was processed using Affymetrix Expression Console software (version 1.4.1; Affymetrix; Thermo Fisher Scientific, Inc.) and normalized by MAS5 normalization, in which the global signal intensity value was adjusted to 500 for each microarray to make it possible to compare profiling variations between microarrays.
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2

Microarray Analysis of miRNA Expression

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Biotin-labeled RNA was synthesized using a FlashTag Biotin HSR RNA Labelling Kit (Thermo Fisher Scientific). Each sample was hybridized onto a GeneChip miRNA 4.0 Array (Thermo Fisher Scientific), following the manufacturer’s protocol. CEL files were converted to CHP files with the Affymetrix Expression Console software (version 1.4.1, Thermo Fisher Scientific). Statistical analysis was performed by Affymetrix TAC software (version 3.1, Thermo Fisher Scientific) and the genes that met the criteria (ANOVA p-value < 0.05 and |fold-change| ≥ 1.5) were extracted as significantly regulated miRNAs. Using the database miRDB (http://mirdb.org), target genes for the miRNAs with a target score ≥80 were extracted [44 (link)]. In addition, by using the database miRBase (http://www.mirbase.org, release 21), human miRNAs with sequences similar to the significantly regulated miRNAs were extracted.
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3

Transcriptional Profiling of Heat-Shock Induced Gene Expression

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Between the period of 2 h and 2 h 30 min after heat-shock, Tg(hsp70:HA-dmrt2a) and wildtype embryos were microdissected as described [46 (link)]. Tissues from Region 1 and Region 2 (Fig. 9a, c) were kept in TRIzol (Thermo Fisher) at − 70 °C. We obtained a pool of 100 pieces from Region 1 and 100 pieces from Region 2, from each condition, per replicate. Three biological replicates for each condition were used. Total RNA was extracted using TRIzol (Thermo Fisher) and further purified with RNA Clean & Concentrator-5 kit (Zymo Research). RNA quality was assessed with an Agilent 2100 Bioanalyzer (Agilent Genomics), and all samples had a RIN value between 8.60 and 9.30. All samples were analysed with Affymetrix Zebrafish Gene 1.1 ST Array Strip (Thermo Fisher). The raw data (CEL files) were analysed with Affymetrix Expression Console Software, Affymetrix Transcriptome Analysis Console Software (Thermo Fisher) and R. Statistical analysis was performed using one-way ANOVA and False Discovery Rate (FDR) correction. Only genes with a fold change (FC) higher than 2 or lower than − 2, with P < 0.05 and FDR < 0.05, were considered with the exception of foxc1b with a FC = − 1,3, P = 0.00134 and FDR = 0.103. Gene Ontology (GO) analysis was performed using AmiGO [47 ] with Bonferroni correction.
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4

Sarcoma Gene Expression Profiling

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Gene expression data of human tumor and normal tissues were obtained from publicly available datasets including, the Gene Expression Omnibus (GEO) GSE66533, GSE87437, GSE141690. Gene expression and sarcoma patient clinical data was obtained from the Innovative Therapies for Children with Cancer consortium cohort (rhabdomyosarcoma), the GEO dataset GSE21257 (osteosarcoma), and the adult sarcoma cohort from The Cancer Genome Atlas program (TCGA‐SARC). The RNA raw data were normalized and compared using the Affymetrix Expression Console Software (Thermofisher). Pathway analysis of differentially expressed genes was conducted by Metascape.[45]
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5

Transcriptome Profiling of FFPE Samples

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The RNA expression arrays method has been previously described20 (link). Briefly, RNA from each sample was used to generate amplified and biotinylated sense-strand cDNA from the entire expressed genome according to the Sensation Plus FFPE Amplification and WT Labeling Kit (P/N 703089, Rev.4 Thermo Fisher Scientific Inc., Life Technologies). GeneChip ST Arrays (GeneChip Human Gene 2.1 ST Array Plate) were hybridized, washed, stained, and finally scanned with the GeneTitan Multichannel (MC) Instrument, according to the GeneTitan Instrument User Guide for Expression Array Plates (PN 702933, Thermo Fisher, Scientific Inc., Life Technologies).
The RNA raw data were normalized and compared using the free Affymetrix Expression Console Software provided by Thermo Fisher. Pathway analysis of differentially expressed genes was conducted by Metascape41 .
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6

RNA Extraction and Microarray Analysis

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Whole hearts were excised and flash frozen in liquid nitrogen. Total RNA was isolated using an RNeasy fibrous tissue kit. Verification of RNA integrity and RNA quantification were done by spectrophotometry and an RNA 6000 Nano assay (Bioanalyzer 2100, Agilent Technologies).
The RNA integrity number for all samples was >6 (mean=8.6 +/-SEM 0.19). Total RNA (250 ng) was primed for the entire length of RNA, including both poly(A) and non-poly(A) mRNA and reverse transcribed to generate sense-strand targets that were biotin-labelled using a WT Plus Reagent kit, and then hybridized to Affymetrix GeneChip Mouse Clariom S arrays for 16 hours (48 o C), following manufacturer's instructions (Thermo Fisher Scientific). Hybridization cocktails were removed, and arrays were washed and stained on a Fluidics Station 450 (mouse Clariom S arrays). Arrays were scanned on the Affymetrix GCS3000 7G scanner and initial quality control data evaluated using Affymetrix Expression Console software (Thermo Fisher Scientific).
Microarray data was imported and analyzed (ANOVA p<0.05, 1.5 fold cutoff, 0.1 false discovery rate) using the Transcriptome Analysis Console (Applied Biosciences). Gene ontology (GO) enrichment analysis was performed with the GOrilla tool using a single rank-ordered gene list 25, 26 .
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7

Differential Gene Expression Analysis

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Expression data from triplicate samples were generated by Affymetrix Expression Console software (version 1.1, Affymetrix). Normalization was performed using the robust multiaverage (RMA) algorithm implemented in Affymetrix Expression Console software. Whether genes were differentially expressed among the three groups was determined using a one-way ANOVA of the RMA expression values. A multiple testing correction was applied to the p values of the F statistics to adjust the false discovery rate[16] (link). Genes with adjusted F-statistic p values of <0.05 were extracted. Genes with significantly differences in expression between the 2 groups, with a greater-than twofold difference between the control and each test group were selected for the further study.
Genes with similar expression patterns, co-expressed by both groups were identified through hierarchical clustering and K-mean clustering using MultiExperiment Viewer software version 4.4 (www.tm4.org, Dana-Farber Cancer Institute, MA, USA). A Web-based tool, the Database for Annotation, Visualization, and Integrated Discovery (DAVID), was used to assess the biological interpretation of differentially expressed genes. These genes were then classified based on the gene function in the Kyoto Encyclopedia of Genes and Genomes (KEGG) Pathway database (http://david.abcc.ncifcrf.gov/home.jsp).
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8

Affymetrix Microarray Analysis of Sorted Epithelial Cells

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The sorted epithelial cells were lysed using an RNeasy Mini kit (Qiagen GmbH) to isolate RNA. The amount of RNA was determined using a NanoDrop spectrophotometer (Thermo Fisher Scientific, Inc.) and 0.2 µg of RNA was used for Affymetrix microarray analysis using mouse genome 430 2.0 arrays (Affymetrix; Thermo Fisher Scientific, Inc.). Data were annotated with Affymetrix Expression Console software (Affymetrix, Inc.). GeneSpring GX software (http://www.home.agilent.com/agilent/home.jspx?&cc=US&lc=eng; Agilent Technologies, Inc.) was adopted to analyze the differentially expressed genes between groups. Raw data were transformed using a base-2 logarithm (Log2x) function to calculate the fold change between two groups. Significantly differently expressed genes were defined as those fulfilling a Student's t-test P<0.05 and a threshold number of misclassifications of ≤1. Treeview software (v.1.6; https://treeview.software.informer.com/1.6/) was adopted to generate heatmaps of gene expression and pathway analysis was performed using the online Gather Kyoto Encyclopedia of Genes and Genomes analysis database (KEGG; http://gather.genome.duke.edu/).
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9

Genome-Wide Transcriptional Analysis of Dendritic Cells

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Total RNA was extracted from BLT1hi and BLT1lo DCs (treated with LPS or CpG DNA or left untreated for 4 h) using TRIzol reagents. cDNA was prepared and labeled using the Ambion WT Expression Kit (Affymetrix, San Diego, CA, USA) and GeneChip WT Terminal Labeling Kit (Affymetrix). The labeled samples were subjected to hybridization with the GeneChip Hybridization Wash, Stain Kit (Affymetrix) and GeneChip Mouse Gene 1.0 ST array (Affymetrix). Signals were scanned with a GeneChip Scanner 3000 7 G, and data were analyzed using Affymetrix Expression Console software (Affymetrix). The robust multiarray average algorithm was used for log2 transformation and normalization of the GeneChip data. Hierarchical clustering analysis was performed using R (www.r-project.org). Functional enrichment analysis of selected genes was performed based on GO pathway annotation terms, with P values < 0.05 considered statistically significant.
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10

Microarray Analysis of Mouse Brain Transcriptome

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The Affymetrix Genechip Mouse Clariom S was used to examine gene expression (Affymetrix, Santa Clara, CA, USA). Sample processing and generation of Microarray data was completed by experienced technicians in the Molecular Resource Center at UTHSC. In brief, two hundred nanograms of DNase-treated total RNA was amplified, labeled, and fragmented using Ambion Whole Transcript (WT) Expression Kit according to the manufacturer’s protocol (Thermo Fisher Scientific, Santa Clara, CA USA). Samples were hybridized overnight according to manufacturer’s protocols; samples were then washed and stained on Affymetrix GeneChip Fluidics Station 450 (Affymetrix, Santa Clara, CA, USA) followed by scanning on the GeneChip Scanner 3000 (Applied Biosystems, Waltham, MA, USA). Data was normalized and analyzed for quality control in Affymetrix Expression Console Software using RMA-sketch normalization (Affymetrix, Santa Clara, CA, USA). After normalization and quality control, a total number of 22,203 probe sets were used for subsequent data analysis. A total of 128 samples were used—4 samples per treatment (control, ethanol), per sex (male, female), and per strain (B6, D2, BXD2, BXD48a, BXD60, BXD71, BXD73, BXD100) (Supplemental Table S1).
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