The interplay between chromatin, transcription factors and genes generates complex
regulatory circuits that can be represented as gene regulatory networks (GRNs). The study of …

Computational models are increasingly used to analyze the operation of complex biochemical
networks, including those involved in cell signaling networks. Here we review recent …

Abstract Systems biology has experienced dramatic growth in the number, size, and
complexity of computational models. To reproduce simulation results and reuse models, …

Clinical responses to anticancer therapies are often restricted to a subset of patients. In some
cases, mutated cancer genes are potent biomarkers for responses to targeted agents. Here…

In Rspondin-based 3D cultures, Lgr5 stem cells from multiple organs form ever-expanding
epithelial organoids that retain their tissue identity. We report the establishment of tumor …

Systematic studies of cancer genomes have provided unprecedented insights into the
molecular nature of cancer. Using this information to guide the development and application of …

Functional genomics approaches can overcome limitations—such as the lack of identification
of robust targets and poor clinical efficacy—that hamper cancer drug development. Here …

The causative agent of the coronavirus disease 2019 (COVID-19) pandemic, severe acute
respiratory syndrome coronavirus 2 (SARS-CoV-2), has infected millions and killed hundreds …

Kidney fibrosis is the hallmark of chronic kidney disease progression; however, at present
no antifibrotic therapies exist 1 , 2 – 3 . The origin, functional heterogeneity and regulation of …

Predicting the best treatment strategy from genomic information is a core goal of precision
medicine. Here we focus on predicting drug response based on a cohort of genomic, …