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Full-Text Articles in Medicine and Health Sciences
Gene Expression Microarray Data From Human Microvascular Endothelial Cells Supplemented With A Low Concentration Of Niacin, Nica M. Borradaile, Jennifer M. Hughes-Large
Gene Expression Microarray Data From Human Microvascular Endothelial Cells Supplemented With A Low Concentration Of Niacin, Nica M. Borradaile, Jennifer M. Hughes-Large
Physiology and Pharmacology Publications
The systemic lipid modifying drug, niacin, can directly improve human microvascular endothelial cell angiogenic function under lipotoxic conditions, possibly through activation of niacin receptors [1]. Here we provide accompanying data collected using Affymetrix GeneChip microarrays to identify changes in gene expression in human microvascular endothelial cells treated with 10 μM niacin. Statistical analyses of robust multi-array average (RMA) values revealed that only 16 genes exhibited greater than 1.3-fold differential expression. Of these 16, only 5 were identified protein coding genes, while 3 of the remaining 11 genes appeared to be small nuclear/nucleolar RNAs. Altered expression of EFCAB4B, …
Unifying The Analysis Of High-Throughput Sequencing Datasets: Characterizing Rna-Seq, 16s Rrna Gene Sequencing And Selective Growth Experiments By Compositional Data Analysis., Andrew D Fernandes, Jennifer Ns Reid, Jean M Macklaim, Thomas A Mcmurrough, David R Edgell, Gregory B Gloor
Unifying The Analysis Of High-Throughput Sequencing Datasets: Characterizing Rna-Seq, 16s Rrna Gene Sequencing And Selective Growth Experiments By Compositional Data Analysis., Andrew D Fernandes, Jennifer Ns Reid, Jean M Macklaim, Thomas A Mcmurrough, David R Edgell, Gregory B Gloor
Biology Publications
BACKGROUND: Experimental designs that take advantage of high-throughput sequencing to generate datasets include RNA sequencing (RNA-seq), chromatin immunoprecipitation sequencing (ChIP-seq), sequencing of 16S rRNA gene fragments, metagenomic analysis and selective growth experiments. In each case the underlying data are similar and are composed of counts of sequencing reads mapped to a large number of features in each sample. Despite this underlying similarity, the data analysis methods used for these experimental designs are all different, and do not translate across experiments. Alternative methods have been developed in the physical and geological sciences that treat similar data as compositions. Compositional data analysis …