Evidence map›Paper›PMID 26508589›Full record

ArticleScientific reports2015

Metabolic profiling reveals potential metabolic markers associated with Hypoxia Inducible Factor-mediated signalling in hypoxic cancer cells.

Emily G Armitage, Helen L Kotze, J William Allwood, Warwick B Dunn, Royston Goodacre, Kaye J Williams

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

24 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Extracellular volatilomic alterations induced by hypoxia in breast cancer cells.Metabolomics : Official journal of the Metabolomic Society · 2020
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  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

6 authors at 1 institution in 1 country.

Emily G ArmitageSchool of Chemical Engineering and Analytical Science, Manchester Institute of Biotechnology, University of Manchester, Manchester M1 7DN, UK.
Helen L KotzeSchool of Chemical Engineering and Analytical Science, Manchester Institute of Biotechnology, University of Manchester, Manchester M1 7DN, UK.
J William AllwoodSchool of Chemistry, Manchester Institute of Biotechnology, University of Manchester, Manchester M1 7DN, UK.
Warwick B DunnSchool of Chemistry, Manchester Institute of Biotechnology, University of Manchester, Manchester M1 7DN, UK.
Royston GoodacreSchool of Chemistry, Manchester Institute of Biotechnology, University of Manchester, Manchester M1 7DN, UK.
Kaye J WilliamsManchester Pharmacy School, University of Manchester, Oxford Road, Manchester M13 9PT, UK.
University of Manchester · GB

Funding

Biotechnology and Biological Sciences Research Council BB/C008219/1Biotechnology and Biological Sciences Research Council BB/G530225/1
6 · The paper itself

Abstract

Hypoxia inducible factors (HIFs) plays an important role in oxygen compromised environments and therefore in tumour survival. In this research, metabolomics has been applied to study HIFs metabolic function in two cell models: mouse hepatocellular carcinoma and human colon carcinoma, whereby the metabolism has been profiled for a range of oxygen potentials. Wild type cells have been compared to cells deficient in HIF signalling to reveal its effect on cellular metabolism under normal oxygen conditions as well as low oxygen, hypoxic and anoxic environments. Characteristic responses to hypoxia that were conserved across both cell models involved the anti-correlation between 2-hydroxyglutarate, 2-oxoglutarate, fructose, hexadecanoic acid, hypotaurine, pyruvate and octadecenoic acid with 4-hydroxyproline, aspartate, cysteine, glutamine, lysine, malate and pyroglutamate. Further to this, network-based correlation analysis revealed HIF specific pathway responses to each oxygen condition that were also conserved between cell models. From this, 4-hydroxyproline was revealed as a regulating hub in low oxygen survival of WT cells while fructose appeared to be in HIF deficient cells. Pathways surrounding these hubs were built from the direct connections of correlated metabolites that look beyond traditional pathways in order to understand the mechanism of HIF response to low oxygen environments.

Indexed as

BiomarkersCell HypoxiaCell Line, TumorHCT116 CellsHumansHydroxyprolineHypoxiaHypoxia-Inducible Factor 1Metabolic Networks and PathwaysMetabolomicsOxygenSignal TransductionBiomarkersHydroxyprolineHypoxia-Inducible Factor 1Oxygen

Identifiers

PMID26508589
PMCPMC4623531
OpenAlexW1883301769

What OpenQuestion 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 OpenQuestion graph.