Index Catalog // Deep Blue Data

Need language around using Deep Blue Data as a repository for your NIH data sharing plan? See Data Sharing Boilerplate

Start Over

Filtering by: Creator Patel, Dipali Creator Stringer, Kathleen A.

Database Screening as a Strategy to Identify Endogenous Candidate Metabolites to Probe and Assess Mitochondrial Drug Toxicity

Creator:

George De la Rosa, Mery Vet, Patel, Dipali, McCann, Marc R., Stringer, Kathleen A., and Rosania, Gus R.

Description:

These data were produced from a study that employed a database strategy to identify candidate mitochondrial metabolites that could be clinically useful to identify individuals at increased risk of mitochondrial-related ADRs. The main candidate metabolite identified by the database strategy was evaluated using a mouse model of mitochondrial drug toxicity. These findings are described in our manuscript: Database Screening as a Strategy to Identify Endogenous Candidate Metabolites to Probe and Assess Mitochondrial Drug Toxicity. Data reported was supported by funding from the National Institute of General Medical Sciences (NIGMS) at the National Institutes of Health (NIH) under award numbers R01GM127787 (GRR) & R35GM136312 (KAS).

Keyword:

mitochondrial-realted metabolites, adverse drug reactions, and mitochondrial drug toxicity

Discipline:

Health Sciences