Evidence map›Paper›PMID 30271981›Full record

ArticleCommunications biology2018

A framework for large-scale metabolome drug profiling links coenzyme A metabolism to the toxicity of anti-cancer drug dichloroacetate.

Sébastien Dubuis, Karin Ortmayr, Mattia Zampieri

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

20 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
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  9. Integrating in vitro metabolomics with a 96-well high-throughput screening platform.Metabolomics : Official journal of the Metabolomic Society · 2022
    Article
  10. Article
  11. Review
  12. Dichloroacetate Radiosensitizes Hypoxic Breast Cancer Cells.International journal of molecular sciences · 2020
    Article
  13. The Pathophysiological Role of CoA.International journal of molecular sciences · 2020
    Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
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  20. Review
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

3 authors at 1 institution in 1 country.

Sébastien DubuisInstitute of Molecular Systems Biology, ETH Zurich, Auguste-Piccard-Hof 1, CH-8093, Zurich, Switzerland.
Karin OrtmayrInstitute of Molecular Systems Biology, ETH Zurich, Auguste-Piccard-Hof 1, CH-8093, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-0603-1073
Mattia ZampieriInstitute of Molecular Systems Biology, ETH Zurich, Auguste-Piccard-Hof 1, CH-8093, Zurich, Switzerland. zampieri@imsb.biol.ethz.ch.ORCID http://orcid.org/0000-0002-9339-068X
ETH Zurich · CH

Funding

Austrian Science Fund FWF W 1224
6 · The paper itself

Abstract

Metabolic profiling of cell line collections has become an invaluable tool to study disease etiology, drug modes of action and to select personalized treatments. However, large-scale in vitro dynamic metabolic profiling is limited by time-consuming sampling and complex measurement procedures. By adapting a mass spectrometry-based metabolomics workflow for high-throughput profiling of diverse adherent mammalian cells, we establish a framework for the rapid measurement and analysis of drug-induced dynamic changes in intracellular metabolites. This methodology is scalable to large compound libraries and is here applied to study the mechanism underlying the toxic effect of dichloroacetate in ovarian cancer cell lines. System-level analysis of the metabolic responses revealed a key and unexpected role of CoA biosynthesis in dichloroacetate toxicity and the more general importance of CoA homeostasis across diverse human cell lines. The herein-proposed strategy for high-content drug metabolic profiling is complementary to other molecular profiling techniques, opening new scientific and drug-discovery opportunities.

Identifiers

PMID30271981
PMCPMC6123704
OpenAlexW2885145724

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.