Michael T. Moser

TL;DR: The landscape of gene expression across tissues is described, thousands of tissue-specific and shared regulatory expression quantitative trait loci (eQTL) variants are cataloged, complex network relationships are described, and signals from genome-wide association studies explained by eQTLs are identified.

TL;DR: A mathematical expression is derived to compute PrediXcan results using summary data, and the effects of gene expression variation on human phenotypes in 44 GTEx tissues and >100 phenotypes are investigated.

TL;DR: It is shown that levels of T cells in peripheral lymphoid tissues of mice are increased by androgen deprivation, and T cells from these mice transiently proliferate more vigorously to TCR- and CD28-mediated costimulation as well as to Ag-specific activation.

TL;DR: In this article, the aging gene expression signatures are very tissue specific and enrichment for some well-known aging components such as mitochondria biology is observed in many tissues, and different levels of cross-tissue synchronization of age-related gene expression changes are observed, and some essential tissues (e.g., heart and lung) show much stronger "co-aging" than other tissues based on principal component analysis.

TL;DR: These networks are built that additionally capture the regulation of relative isoform abundance and splicing, along with tissue-specific connections unique to each of a diverse set of tissues, and provide an improved understanding of the complex relationships of the human transcriptome across tissues.