Human gene 1.0 st
The Human Gene 1.0 ST is a microarray platform designed for comprehensive gene expression profiling of the human genome. It provides a thorough and unbiased assessment of gene expression levels across the entire transcriptome.
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19 protocols using human gene 1.0 st
Comparative Gene Expression Analysis
Microarray-based Transcriptomic Profiling
The data of the .cel files were normalized with the Robust Multichip Average (RMA) in the Expression Console software by Affymetrix. As multiple-testing correction makes the group-wise comparisons more stringent as more genes are included in the analysis, we filtered the data to remove the least informative genes using the BRB-Array Tools software [BRB-ArrayTools Development Team, version 4.2.1] implemented in Microsoft Excel [Microsoft Corporation, Microsoft Office Professional Edition 2003]. The genes with a 90th percentile value smaller than 55.7 (the mean intensity of the negative control probes) were removed and 6451 probesets were left for the subsequent analysis.
Whole Genome Gene Expression Profiling
Microarray Analysis of Alveolar Epithelial Cells
Microarray data was pre-processed using R and Bioconductor. Raw intensity values were background corrected, log2 transformed and then RMA normalized [18 (link)], using algorithms coded in the “oligo” package in Bioconductor. To identify differentially expressed genes we fit a linear model using the limma package [19 ]. Finally, lists of differentially expressed genes for each of the three comparisons were created selecting those genes that are statistically significant according to two summary statistics: the log fold-change and the B-statistic. The cutoff for the fold-change was chosen to be equal to 1 combined with a confidence measure based on the B-statistic greater than zero. The microarray analysis was performed in 3 individual experiments.
The data discussed in this publication have been deposited in NCBI's Gene Expression Omnibus and are accessible through GEO Series accession number GSE77942. (
Bioinformatics Analysis of GEO Datasets
The “GEOquery” software package was employed to get the original data that was analyzed using the oligo software package in R software (version 4.1.0). The probe name was changed to the gene name following the manufacturer-provided annotation file. Probes without corresponding gene names were deleted. The “affy” software package in R software was used to preprocess and normalize the chip dataset. The “select” function in R software was used to extract the expression of IL-10 mRNA in each sample of the above 2 datasets.
Nasal Epithelial Cell Transcriptome and Methylation
Analyzing Adipose Tissue Transcriptomics in OSA
Raw data were downloaded using the GEOquery package (Davis and Meltzer, 2007 (link)) and analyzed using the oligo package (Carvalho and Irizarry, 2010 (link)) of Bioconductor in R version 4.1.0. The data were normalized with the RMA method and probe IDs were converted into gene names according to the platform annotation information.
Genome-wide Microarray Analysis Protocol
Heparinized Blood Profiling for Hyperlipidemia
Regulation of USP7 in Chronic Lymphocytic Leukemia
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