Evidence map›Paper›PMID 25221735›Full record

ArticleSpringerPlus2014

Metabolism under hypoxia in Tm1 murine melanoma cells is affected by the presence of galectin-3, a metabolomics approach.

Pedro Starzynski Bacchi, Antonio Carlos Bloise, Silvina Odete Bustos, Lara Zimmermann, Roger Chammas, Said Rahnamaye Rabbani

Abstract read
In one paragraph

Article in SpringerPlus, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. 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.

Pedro Starzynski BacchiLaboratório de Oncologia Experimental and Centro de Investigação Translacional em Oncologia, Instituto do Câncer do Estado de São Paulo and Faculdade de Medicina da Universidade de São Paulo, Av. Dr. Arnaldo, 251, CEP 01246-000 São Paulo, Brazil.
Antonio Carlos BloiseLaboratório de Ressonância Magnética, Instituto de Física da Universidade de São Paulo, R. do Matão trav. R, 187, CEP 05508-090 São Paulo, Brazil.
Silvina Odete BustosLaboratório de Oncologia Experimental and Centro de Investigação Translacional em Oncologia, Instituto do Câncer do Estado de São Paulo and Faculdade de Medicina da Universidade de São Paulo, Av. Dr. Arnaldo, 251, CEP 01246-000 São Paulo, Brazil.
Lara ZimmermannLaboratório de Oncologia Experimental and Centro de Investigação Translacional em Oncologia, Instituto do Câncer do Estado de São Paulo and Faculdade de Medicina da Universidade de São Paulo, Av. Dr. Arnaldo, 251, CEP 01246-000 São Paulo, Brazil.
Roger ChammasLaboratório de Oncologia Experimental and Centro de Investigação Translacional em Oncologia, Instituto do Câncer do Estado de São Paulo and Faculdade de Medicina da Universidade de São Paulo, Av. Dr. Arnaldo, 251, CEP 01246-000 São Paulo, Brazil.
Said Rahnamaye RabbaniLaboratório de Ressonância Magnética, Instituto de Física da Universidade de São Paulo, R. do Matão trav. R, 187, CEP 05508-090 São Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolomics has proven an useful tool for systems biology. Here we have used a metabolomics approach to identify conditions in which de novo expression of an established tumor marker, galectin-3, would confer a potential selective advantage for melanoma growth and survival. A murine melanoma cell line (Tm1) that lacks galectin-3 was modified to express it or not (Tm1.G2 and Tm1.N3, respectively). These variant cell line were then exposed to conditions of controlled oxygen tensions and glucose levels. Metabolic profiling of intracellular metabolites of cells exposed to these conditions was obtained in steady state using high resolution (1)H Magnetic Resonance Spectroscopy ((1)H-MRS) and multivariate statistical analysis. The Nuclear Magnetic Resonance (NMR) spectra contained a large number of absorption lines from which we were able to distinguish 20 metabolites, 3 fatty acids and some absorption lines and clusters were not identified. Principal Components Analysis (PCA) allowed for the discrimination of 2 experimental conditions in which expression of the tumor marker galectin-3 may play a significant role, namely exposure of cells to hypoxia under high glucose. Interestingly, under all other experimental conditions tested, the cellular system was quite robust. Our results suggest that the Metabolomics approach can be used to access information about changes in many metabolic pathways induced in tumorigenic cells and to allow the evaluation of their behavior in controlled environmental conditions or selective pressures.

Indexed as

1H-MRSGalectin-3MelanomaMetabolomicsNMRPCATm1.G2Tm1.N3Warburg effect

Identifiers

PMID25221735
PMCPMC4161723

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.