WebSep 27, 2024 · A cluster analysis from a cDNA microarray that evaluated the expression of 384 cancer-related genes in three types of aging: (i) replicative senescent fibroblasts, (ii) fibroblasts from a... WebMicroarrays may be used to assay gene expression within a single sample or to compare gene expression in two different cell types or tissue samples, such as in healthy and diseased tissue. Because a microarray can be used to examine the expression of hundreds or thousands of genes at once, it promises to revolutionize the way scientists examine ...
Cell type-specific gene expression differences in complex tissues
WebJan 9, 2024 · Through a comprehensive transcriptomic network analysis of 50 human tissues in the Genotype-Tissue Expression Project (GTEx) cohort, we identified SnG-enriched gene modules, characterized SnG co-expression patterns, and constructed aggregated SnG networks across primary tissues of the human body. WebGene expression is when a gene in DNA is "turned on," that is, used to make the protein it specifies. Not all the genes in your body are turned on at the same time, or in the same cells or parts of the body. For many genes, transcription is the key on/off control point: horse face shaped kids pillows
10.4: Eukaryotic Gene Regulation - Biology LibreTexts
WebThe different cell types in a multicellular organism differ dramatically in both structure and function. If we compare a mammalian neuron with a lymphocyte, for example, the differences are so extreme that it is difficult to imagine that the two cells contain the same genome (Figure 7-1). For this reason, and because cell differentiation is often … WebThe scRNAseq analysis was based on publicly available genome-wide expression data and comprises all protein-coding genes in 536 individual cell type clusters corresponding to 15 different cell type groups. A specificity classification was performed to determine the number of genes elevated in these single cell types. WebWe describe cell type-specific significance analysis of microarrays (csSAM) for analyzing differential gene expression for each cell type in a biological sample from microarray data and relative cell-type frequencies. First, we validated csSAM with predesigned mixtures and then applied it to whole-blood gene expression datasets from stable post ... ps wxhy