In this Special Issue we present a range of studies that showcase novel approaches that researchers are exploring to better decipher the link between genotype and phenotype.
A novel mathematical method for screening new drugs for pro-arrhythmic cardiotoxicity without using animals or costly drug-specific computer simulations is proposed.
Cross-species multiomics network modeling revealed tissue-specific regulatory genes, pathways, and networks shared between mouse and human or unique to each species for atherosclerosis and coronary artery disease.
A deep analysis of multiple genomic datasets reveals which genetic pathways associated with atherosclerosis and coronary artery disease are shared between mice and humans.
Vanessa Dumeaux, Samira Massahi ... Michael T Hallett
Candida albicans cells respond in two distinct ways to fluconazole exposure where cells enter the Ribo-dominant state characterized by an upregulation of ribosomal-related proteins and processes, or cells enter the Stress-dominant state characterized by the upregulation of stress responses.
The analysis of T cell movement in multiple tissues (lymph node, villi, and lung under two different inflammatory conditions) sheds new light on how T cells navigate different tissue environments to improve immunity and search processes.
A comprehensive comparison of the two types of pancreatic cancer symptom trajectories can in combination leverage a fuller potential of large health data and ultimately aid the detection of early risk factors for pancreatic cancer.
Hooman Allayee, Charles R Farber ... Aldons J Lusis
Systems genetics is a powerful approach that links DNA variation to complex clinical and physiological traits through the integration of intermediate phenotypes, such as RNA, protein, and metabolite levels.