Exometabolom analysis of breast cancer cell lines: Metabolic signature

被引:0
|
作者
Lucas Willmann
Thalia Erbes
Sebastian Halbach
Tilman Brummer
Markus Jäger
Marc Hirschfeld
Tanja Fehm
Hans Neubauer
Elmar Stickeler
Bernd Kammerer
机构
[1] Center for Biological Systems Analysis ZBSA,Department of Obstetrics and Gynecology
[2] Albert-Ludwigs-University Freiburg,undefined
[3] University Medical Center Freiburg,undefined
[4] Institute of Molecular Medicine and Cell Research,undefined
[5] Albert-Ludwigs-University Freiburg,undefined
[6] Institute of Biology II,undefined
[7] Albert-Ludwigs-University Freiburg,undefined
[8] Universitätsfrauenklinik der Heinrich-Heine-Universität Düsseldorf,undefined
[9] Institute for Biology III,undefined
[10] Faculty of Biology,undefined
[11] Albert-Ludwigs-University Freiburg,undefined
[12] Spemann Graduate School of Biology and Medicine,undefined
[13] Albert-Ludwigs-University Freiburg,undefined
[14] University Hospital Freiburg,undefined
[15] German Cancer Consortium (DKTK),undefined
[16] German Cancer Research Center (DKFZ),undefined
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Cancer cells show characteristic effects on cellular turnover and DNA/RNA modifications leading to elevated levels of excreted modified nucleosides. We investigated the molecular signature of different subtypes of breast cancer cell lines and the breast epithelial cell line MCF-10A. Prepurification of cell culture supernatants was performed by cis-diol specific affinity chromatography using boronate-derivatized polyacrylamide gel. Samples were analyzed by application of reversed phase chromatography coupled to a triple quadrupole mass spectrometer. Collectively, we determined 23 compounds from RNA metabolism, two from purine metabolism, five from polyamine/methionine cycle, one from histidine metabolism and two from nicotinate and nicotinamide metabolism. We observed major differences of metabolite excretion pattern between the breast cancer cell lines and MCF-10A, just as well as between the different breast cancer cell lines themselves. Differences in metabolite excretion resulting from cancerous metabolism can be integrated into altered processes on the cellular level. Modified nucleosides have great potential as biomarkers in due consideration of the heterogeneity of breast cancer that is reflected by the different molecular subtypes of breast cancer. Our data suggests that the metabolic signature of breast cancer cell lines might be a more subtype-specific tool to predict breast cancer, rather than a universal approach.
引用
收藏
相关论文
共 50 条
  • [1] Exometabolom analysis of breast cancer cell lines: Metabolic signature
    Willmann, Lucas
    Erbes, Thalia
    Halbach, Sebastian
    Brummer, Tilman
    Jaeger, Markus
    Hirschfeld, Marc
    Fehm, Tanja
    Neubauer, Hans
    Stickeler, Elmar
    Kammerer, Bernd
    [J]. SCIENTIFIC REPORTS, 2015, 5
  • [2] Metabolomic analysis of breast cancer cell lines: Clues to the metabolic fingerprint of inflammatory breast cancer
    Mu, Z.
    Brown, M. V.
    Fernandez, S.
    Robertson, F. M.
    Cristofanilli, M.
    [J]. CANCER RESEARCH, 2013, 73
  • [3] Gene signature of breast cancer cell lines treated with lycopene
    Chalabi, Nassera
    Delort, Laetitia
    Le Corre, Ludovic
    Satih, Samir
    Bignon, Yves-Jean
    Bernard-Gallon, Dominique
    [J]. PHARMACOGENOMICS, 2006, 7 (05) : 663 - 672
  • [4] Volatile metabolomic signature of human breast cancer cell lines
    Silva, Catarina L.
    Perestrelo, Rosa
    Silva, Pedro
    Tomas, Helena
    Camara, Jose S.
    [J]. SCIENTIFIC REPORTS, 2017, 7
  • [5] Volatile metabolomic signature of human breast cancer cell lines
    Catarina L. Silva
    Rosa Perestrelo
    Pedro Silva
    Helena Tomás
    José S. Câmara
    [J]. Scientific Reports, 7
  • [6] Gene signature of breast cancer cell lines after lycopene supplementation
    Chalabi, Nassera
    Le Corre, Ludovic
    Delort, Laetitia
    Bornes, Stephanie
    Satih, Samir
    Privat, Maud
    Bignon, Yves-Jean
    Gallon-Bernard, Dominique J.
    [J]. CANCER RESEARCH, 2006, 66 (08)
  • [7] A systematic flux analysis approach to identify metabolic vulnerabilities in human breast cancer cell lines
    Sheree D. Martin
    Sean L. McGee
    [J]. Cancer & Metabolism, 7
  • [8] A systematic flux analysis approach to identify metabolic vulnerabilities in human breast cancer cell lines
    Martin, Sheree D.
    McGee, Sean L.
    [J]. CANCER & METABOLISM, 2019, 7 (01)
  • [9] Mitochondrial pH Nanosensors for Metabolic Profiling of Breast Cancer Cell Lines
    Ripoll, Consuelo
    Roldan, Mar
    Contreras-Montoya, Rafael
    Diaz-Mochon, Juan J.
    Martin, Miguel
    Ruedas-Rama, Maria J.
    Orte, Angel
    [J]. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2020, 21 (10)
  • [10] Metabolic profiling of breast cancer: Differences in central metabolism between subtypes of breast cancer cell lines
    Willmann, Lucas
    Schlimpert, Manuel
    Halbach, Sebastian
    Erbes, Thalia
    Stickeler, Elmar
    Kammerer, Bernd
    [J]. JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES, 2015, 1000 : 95 - 104