Work

High-throughput and combinatorial gene expression on a chip for metabolism-induced toxicology screening

Year: 2014

Type: article

Source: Nature Communications

DOI: 10.1038/ncomms4739

Authors: Seok Joon Kwon, Dong Woo Lee, Dhiral A. Shah, Bosung Ku, Sang Youl Jeon, Kusum Solanki, Jessica D. Ryan, Douglas S. Clark, Jonathan S. Dordick, Moo-Yeal Lee

Institutions: Rensselaer Polytechnic Institute, Samsung (South Korea), Solidus Biosciences (United States), University of California, Berkeley, Cleveland State University

Language: English

Topic: Pharmacogenetics and Drug Metabolism

Subfield: Pharmacology

Field: Pharmacology, Toxicology and Pharmaceutics

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, Samsung, National Institute of Environmental Health Sciences

Awards: G291537493, TeamChip for High-Throughput, Predictive Human Metabolism and Toxicology: Phase I, TeamChip for High-throughput, Predictive Human Metabolism and Toxicology, High-Throughput Platform for Identifying Stem Cell Toxicity

OpenAlex ID: W2139257776

FWCI: 5.955

Cites: 59

Cited by: 95

Related to: 10