An integrative approach for building personalized gene regulatory networks for precision medicine.
Ontology highlight
ABSTRACT: Only a small fraction of patients respond to the drug prescribed to treat their disease, which means that most are at risk of unnecessary exposure to side effects through ineffective drugs. This inter-individual variation in drug response is driven by differences in gene interactions caused by each patient's genetic background, environmental exposures, and the proportions of specific cell types involved in disease. These gene interactions can now be captured by building gene regulatory networks, by taking advantage of RNA velocity (the time derivative of the gene expression state), the ability to study hundreds of thousands of cells simultaneously, and the falling price of single-cell sequencing. Here, we propose an integrative approach that leverages these recent advances in single-cell d
SUBMITTER: van der Wijst MGP
PROVIDER: S-EPMC6299585 | biostudies-literature | 2018 Dec
REPOSITORIES: biostudies-literature
ACCESS DATA