Evidence map›Paper›PMID 30830323›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2018

Untargeted and stable isotope-assisted metabolomic analysis of MDA-MB-231 cells under hypoxia.

Jie Yang, Jianhua Cheng, Bo Sun, Haijing Li, Shengming Wu, Fangting Dong, Xianzhong Yan

Abstract read
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In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.6field-weighted citation impact, top 40% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
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  9. Impact of the PdInternational journal of molecular sciences · 2021
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  13. Extracellular volatilomic alterations induced by hypoxia in breast cancer cells.Metabolomics : Official journal of the Metabolomic Society · 2020
    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

7 authors at 1 institution in 1 country.

Jie YangNational Center of Biomedical Analysis, 27 Taiping Road, Beijing, 100039, China.
Jianhua ChengNational Center of Biomedical Analysis, 27 Taiping Road, Beijing, 100039, China.
Bo SunNational Center of Biomedical Analysis, 27 Taiping Road, Beijing, 100039, China.
Haijing LiNational Center of Biomedical Analysis, 27 Taiping Road, Beijing, 100039, China.
Shengming WuNational Center of Biomedical Analysis, 27 Taiping Road, Beijing, 100039, China.
Fangting DongNational Center of Biomedical Analysis, 27 Taiping Road, Beijing, 100039, China. dft@proteomics.cn.
Xianzhong YanNational Center of Biomedical Analysis, 27 Taiping Road, Beijing, 100039, China. yanxz@proteomics.cn.
National Center of Biomedical Analysis · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHypoxia commonly occurs in cancers and is highly related with the occurrence, development and metastasis of cancer. Treatment of triple negative breast cancer remains challenge. Knowledge about the metabolic status of triple negative breast cancer cell lines in hypoxia is valuable for the understanding of molecular mechanisms of this tumor subtype to develop effective therapeutics.

objectivesComprehensively characterize the metabolic profiles of triple negative breast cancer cell line MDA-MB-231 in normoxia and hypoxia and the pathways involved in metabolic changes in hypoxia.

methodsDifferences in metabolic profiles affected pathways of MDA-MB-231 cells in normoxia and hypoxia were characterized using GC-MS based untargeted and stable isotope assisted metabolomic techniques.

resultsThirty-three metabolites were significantly changed in hypoxia and nine pathways were involved. Hypoxia increased glycolysis, inhibited TCA cycle, pentose phosphate pathway and pyruvate carboxylation, while increased glutaminolysis in MDA-MB-231 cells.

conclusionThe current results provide metabolic differences of MDA-MB-231 cells in normoxia and hypoxia conditions as well as the involved metabolic pathways, demonstrating the power of combined use of untargeted and stable isotope-assisted metabolomic methods in comprehensive metabolomic analysis.

Indexed as

Isotope LabelingMetabolomicsHumansHypoxiaTriple Negative Breast NeoplasmsTumor Cells, CulturedBreast cancerGC-TOF MSGlutaminolysisGlycolysisMDA-MB-231Stable isotope-assisted metabolomics

Identifiers

PMID30830323
OpenAlexW2793924468

What OpenQuestion holds

Textmetadata
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.