Jie Wu

TL;DR: The LINCS program focuses on cellular physiology shared among tissues and cell types relevant to an array of diseases, including cancer, heart disease, and neurodegenerative disorders.

TL;DR: In this article, a transcriptome and functional analysis of human induced pluripotent stem cell (iPSC)-derived brain microvascular endothelial cells (iBMECs) from HD patients or unaffected controls was performed.

TL;DR: The results therefore clarify the underlying physiological basis of this disorder, and they suggest that circumventing the diseased BBB to deliver active TH to the brain could be a viable therapeutic strategy.

TL;DR: The potential cost savings associated with 3′-DGE approach are likely a reasonable tradeoff for modest reduction in sensitivity and inability to observe alternative splicing, and should enable many larger scale studies focusing on not only differential expression analysis, but also quantitative transcriptome profiling.

TL;DR: A deep learning-based method, called UFold, for RNA secondary structure prediction, trained directly on annotated data without any thermodynamic assumptions is proposed, which improves substantially upon previous models.