EconPapers    
Economics at your fingertips  
 

Metabolomic high-content nuclear magnetic resonance-based drug screening of a kinase inhibitor library

Stefano Tiziani, Yunyi Kang, Janet S. Choi, William Roberts and Giovanni Paternostro ()
Additional contact information
Stefano Tiziani: Sanford-Burnham Medical Research Institute
Yunyi Kang: Sanford-Burnham Medical Research Institute
Janet S. Choi: Sanford-Burnham Medical Research Institute
William Roberts: Rady Children's Hospital, UCSD
Giovanni Paternostro: Sanford-Burnham Medical Research Institute

Nature Communications, 2011, vol. 2, issue 1, 1-10

Abstract: Abstract Metabolism is altered in many highly prevalent diseases and is controlled by a complex network of intracellular regulators. Monitoring cell metabolism during treatment is extremely valuable to investigate cellular response and treatment efficacy. Here we describe a nuclear magnetic resonance-based method for screening of the metabolomic response of drug-treated mammalian cells in a 96-well format. We validate the method using drugs having well-characterized targets and report the results of a screen of a kinase inhibitor library. Four hits are validated from their action on an important clinical parameter, the lactate to pyruvate ratio. An eEF-2 kinase inhibitor and an NF-kB activation inhibitor increased lactate/pyruvate ratio, whereas an MK2 inhibitor and an inhibitor of PKA, PKC and PKG induced a decrease. The method is validated in cell lines and in primary cancer cells, and may have potential applications in both drug development and personalized therapy.

Date: 2011
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/ncomms1562 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:2:y:2011:i:1:d:10.1038_ncomms1562

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/ncomms1562

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:nat:natcom:v:2:y:2011:i:1:d:10.1038_ncomms1562