Evidence map›Paper›PMID 22109519›Full record

ArticleNature communications2011

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

Stefano Tiziani, Yunyi Kang, Janet S Choi, William Roberts, Giovanni Paternostro

Open access · bronzeAbstract read
In one paragraph

Article in Nature communications, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
1.2field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 61 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Metabolomics in Cell Biology.Handbook of experimental pharmacology · 2023
    Article
  6. Review
  7. Article
  8. Article
  9. Precision Oncology via NMR-Based Metabolomics: A Review on Breast Cancer.International journal of molecular sciences · 2021
    Review
  10. Deciphering the mechanism of action of antitubercular compounds with metabolomics.Computational and structural biotechnology journal · 2021
    Review
  11. Article
  12. Article
  13. Article
  14. NMR Metabolomics Protocols for Drug Discovery.Methods in molecular biology (Clifton, N.J.) · 2019
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. The future of NMR-based metabolomics.Current opinion in biotechnology · 2017
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Stefano TizianiSanford-Burnham Medical Research Institute, 10901 North Torrey Pines Road, La Jolla, California 92037, USA.
Yunyi Kang
Janet S Choi
William Roberts
Giovanni Paternostro
Sanford Burnham Prebys Medical Discovery Institute · USRady Children's Hospital-San Diego · US

Funding

Systems Biology CoreP01HL098053 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI POWELL, FRANK L. · 2010 to 2014
$10.2M
Molecular Algorithmics for Pharmacological InterventionsR21AG030685 · NIA · SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE · PI PATERNOSTRO, GIOVANNI · 2009 to 2010
$431k
NHLBI NIH HHS P01 HL098053NHLBI NIH HHS P01-HL098053NIA NIH HHS R21 AG030685NIA NIH HHS R21AG030685
6 · The paper itself

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.

Indexed as

Cell LineDrug Evaluation, PreclinicalHumansMagnetic Resonance SpectroscopyProtein Kinase InhibitorsProtein Kinase Inhibitors

Identifiers

PMID22109519
PMCPMC5529142
OpenAlexW2082904490

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.