Victoria Yao

TL;DR: Current methods to build context-specific integrative networks, focusing on tissue-specific networks are discussed, enabling biomedical scientists to characterize disease from pathophysiology to cellular system and, finally, to specific gene alterations-making significant strides toward the goal of precision medicine.

TL;DR: This study provides a molecular framework for understanding the complex interplay between Aβ, aging, and neurodegeneration within the most vulnerable neurons in AD.

TL;DR: In this paper, the authors show that differences in nucleosome occupancy reflect cell cycle expression divergence between two yeast species, S. bayanus and S. cerevisiae, and that many changes in cell cycle gene expression patterns across species can be correlated to changes in nucleoSome occupancy on motifs (rather than to the presence or absence of motifs).

TL;DR: A machine-learning approach based on a human brain-specific functional gene interaction network is used to present a genome-wide prediction of autism-associated genes, including hundreds of candidate genes for which there is minimal or no prior genetic evidence.