1H NMR metabolomics combined with gene expression analysis for the determination of major metabolic differences between subtypes of breast cell lines

Čuperlović-Culf, Miroslava; Chute, Ian C.; Culf, Adrian S.; Touaibia, Mohamed; Ghosh, Anirban; Griffiths, Siân Wyn; Tulpan, Dan; Léger, Serge; Belkaid, Anissa; Surette, Marc E.; Ouellette, Rodney J.

doi:10.1039/c1sc00382h

Cited by 19 publications

(18 citation statements)

References 29 publications

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“…to all other investigated cell lines (Figure 8). In line with previous studies increased lactic acid levels resulting from more significant Warburg effect have been detected in ER negative compared to ER positive cells as well as negligible differences between cancer and normal cell lines [14].…”

Section: Endometabolite Analysissupporting

confidence: 75%

“…Breast cancer cell lines have been investigated by application of liquid chromatography (LC)-MS [12], 2D-LC-MS [13] and nuclear magnetic resonance spectroscopy [14], before. Gas chromatography (GC) coupled to MS via electron ionization (EI) is a frequently used analytical technique for metabolite profiling [15][16][17] that allows metabolite annotation by application of mass spectral matching [18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

“…Nevertheless, we observed the ER positive cell line BT-474 showing the lowest lactic acid levels in the exometabolome compared to all other investigated cell lines, similar to the endometabolome. This underlines the increased Warburg effect in ER negative compared to ER positive cells[14].…”

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confidence: 96%

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Metabolic profiling of breast cancer: Differences in central metabolism between subtypes of breast cancer cell lines

Willmann

Schlimpert

Halbach

et al. 2015

Journal of Chromatography B

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Section: Endometabolite Analysissupporting

confidence: 75%

Section: Introductionmentioning

confidence: 99%

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Metabolic profiling of breast cancer: Differences in central metabolism between subtypes of breast cancer cell lines

Willmann

Schlimpert

Halbach

et al. 2015

Journal of Chromatography B

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“…7), has been associated with reduction of monolayer permeability to choline (9). A relationship between SCL44A and EGFR and choline metabolic profile has also been shown recently in metabolomics analysis of breast cancer cell lines (10). Furthermore, it should be kept in mind that EGFR mutation was identified as one of the major genetic differences between genomically determined GBM subtypes (8).…”

Section: Resultsmentioning

confidence: 99%

“…Epidermal growth factor receptor (EGFR) is a transmembrane glycoprotein that binds to epidermal growth factor. Among its many functions, EGFR has been linked to the mechanism that reduces cell membrane permeability to choline (9,10). One of the most common oncogenic events observed in GBMs is the amplification and overexpression of EGFR kinase that occurs in 40 -60% of primary GBMs (11).…”

mentioning

confidence: 99%

1H NMR Metabolomics Analysis of Glioblastoma Subtypes

Čuperlović-Culf

Ferguson

Culf

et al. 2012

Journal of Biological Chemistry

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Background: Unpredictable clinical behavior of glioblastoma multiforme suggests distinct molecular subtypes. Results: Metabolic profiles of different glioblastoma lines indicate distinct subtypes correlated with gene expression differences. Conclusion: A subset of metabolites can be used to distinguish between four subtypes of glioblastomas. Significance: Metabolic profiling of cancers provides a way for subtype determination with possible diagnostic and prognostic applications.

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Metabolic profiling of normal hepatocyte and hepatocellular carcinoma cells via ¹H nuclear magnetic resonance spectroscopy

Chen

Feng

et al. 2017

Cell Biology International

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Hepatocellular carcinoma (HCC) causes death mainly by disseminated metastasis progression from the organ being confined. Different metastatic stages are closely related to cellular metabolic profiles. Normal hepatocyte and HepG2 cell line from low metastatic HCC were studied by NMR-based metabolomic techniques. Multivariate and univariate statistical analyses were utilized to identify characteristic metabolites from cells and cultured media. Elevated levels of acetate, creatine, isoleucine, leucine, and phenylalanine were observed in HepG2 cells, suggesting more active in gathering nutrient components along with altered amino acid metabolisms and enhanced lipid metabolism. High glucose consumption was significantly different in low metastatic cells. A series of characteristic metabolites were identified and served as biomarkers. Relative metabolic pathway analysis shows that low metastatic HepG2 cell line exhibits active behaviors in metabolisms and biosynthesis of specific amino acids and energy metabolism. Moreover, characteristic metabolites-based classification models executed by support vector machines algorithm perform robustly to classify normal hepatocyte and HepG2 cell line. It is concluded that NMR-based metabolomic analyses of cell lines can provide a powerful approach to understand metastasis-related biological alterations. The present study also provides a basis for metabolic markers determination of hepatic carcinoma in the future clinical study.

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1H NMR metabolomics combined with gene expression analysis for the determination of major metabolic differences between subtypes of breast cell lines

Cited by 19 publications

References 29 publications

Metabolic profiling of breast cancer: Differences in central metabolism between subtypes of breast cancer cell lines

Metabolic profiling of breast cancer: Differences in central metabolism between subtypes of breast cancer cell lines

1H NMR Metabolomics Analysis of Glioblastoma Subtypes

Metabolic profiling of normal hepatocyte and hepatocellular carcinoma cells via ¹H nuclear magnetic resonance spectroscopy

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1H NMR metabolomics combined with gene expression analysis for the determination of major metabolic differences between subtypes of breast cell lines

Cited by 19 publications

References 29 publications

Metabolic profiling of breast cancer: Differences in central metabolism between subtypes of breast cancer cell lines

Metabolic profiling of breast cancer: Differences in central metabolism between subtypes of breast cancer cell lines

1H NMR Metabolomics Analysis of Glioblastoma Subtypes

Metabolic profiling of normal hepatocyte and hepatocellular carcinoma cells via 1H nuclear magnetic resonance spectroscopy

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Metabolic profiling of normal hepatocyte and hepatocellular carcinoma cells via ¹H nuclear magnetic resonance spectroscopy