Comprehensive polar metabolomics and lipidomics profiling discriminates the transformed from the non-transformed state in colon tissue and cell lines

[1]  L. Vanhaecke,et al.  Impact of storage conditions on the human stool metabolome and lipidome: Preserving the most accurate fingerprint. , 2020, Analytica chimica acta.

[2]  Fan Wang,et al.  Metabolomic Markers of Colorectal Tumor With Different Clinicopathological Features , 2020, bioRxiv.

[3]  W. D. De Vos,et al.  Validated comprehensive metabolomics and lipidomics analysis of colon tissue and cell lines. , 2019, Analytica chimica acta.

[4]  S. Nishiumi,et al.  GC/MS and LC/MS-based Tissue Metabolomic Analysis Detected Increased Levels of Antioxidant Metabolites in Colorectal Cancer. , 2019, The Kobe journal of medical sciences.

[5]  Gabriela Kalna,et al.  Improving the metabolic fidelity of cancer models with a physiological cell culture medium , 2019, Science Advances.

[6]  L. Vanhaecke,et al.  A validated multi-matrix platform for metabolomic fingerprinting of human urine, feces and plasma using ultra-high performance liquid-chromatography coupled to hybrid orbitrap high-resolution mass spectrometry. , 2018, Analytica chimica acta.

[7]  P. Roca,et al.  Non‐tumor adjacent tissue of advanced stage from CRC shows activated antioxidant response , 2018, Free radical biology & medicine.

[8]  R. Nasr,et al.  Ascorbic Acid in Colon Cancer: From the Basic to the Clinical Applications , 2018, International journal of molecular sciences.

[9]  Yinglan Zhao,et al.  LC‑MS/MS metabolome analysis detects the changes in the lipid metabolic profiles of dMMR and pMMR cells. , 2018, Oncology reports.

[10]  Cyrille A M Krul,et al.  Human lung epithelial cell cultures for analysis of inhaled toxicants: Lessons learned and future directions. , 2018, Toxicology in vitro : an international journal published in association with BIBRA.

[11]  Nicholas S. Akins,et al.  Inhibition of Glycolysis and Glutaminolysis: An Emerging Drug Discovery Approach to Combat Cancer , 2018, Current topics in medicinal chemistry.

[12]  David S. Wishart,et al.  HMDB 4.0: the human metabolome database for 2018 , 2017, Nucleic Acids Res..

[13]  Lynn Vanhaecke,et al.  Holistic Lipidomics of the Human Gut Phenotype Using Validated Ultra-High-Performance Liquid Chromatography Coupled to Hybrid Orbitrap Mass Spectrometry. , 2017, Analytical chemistry.

[14]  Lin Chen,et al.  Glutaminase sustains cell survival via the regulation of glycolysis and glutaminolysis in colorectal cancer. , 2017, Oncology letters.

[15]  R. Lothe,et al.  Multi-omics of 34 colorectal cancer cell lines - a resource for biomedical studies , 2017, Molecular Cancer.

[16]  V. Ciminale,et al.  Escaping Death: Mitochondrial Redox Homeostasis in Cancer Cells , 2017, Front. Oncol..

[17]  J. Bornstein,et al.  Colorectal Cancer Chemotherapy: The Evolution of Treatment and New Approaches. , 2017, Current medicinal chemistry.

[18]  Hongchuan Jin,et al.  Synthetic lethality of glutaminolysis inhibition, autophagy inactivation and asparagine depletion in colon cancer , 2017, Oncotarget.

[19]  S. Sumner,et al.  Metabolites as biomarkers of adverse reactions following vaccination: A pilot study using nuclear magnetic resonance metabolomics. , 2017, Vaccine.

[20]  B. Melichar,et al.  Correlation of lipidomic composition of cell lines and tissues of breast cancer patients using hydrophilic interaction liquid chromatography/electrospray ionization mass spectrometry and multivariate data analysis. , 2017, Rapid communications in mass spectrometry : RCM.

[21]  W. D. De Vos,et al.  Untargeted metabolomics of colonic digests reveals kynurenine pathway metabolites, dityrosine and 3-dehydroxycarnitine as red versus white meat discriminating metabolites , 2017, Scientific Reports.

[22]  M. Priault,et al.  mTORC1 inhibition in cancer cells protects from glutaminolysis-mediated apoptosis during nutrient limitation , 2017, Nature Communications.

[23]  Elena Cerrada,et al.  Colorectal Carcinoma: A General Overview and Future Perspectives in Colorectal Cancer , 2017, International journal of molecular sciences.

[24]  S. Zalba,et al.  Cell membrane modulation as adjuvant in cancer therapy. , 2017, Cancer treatment reviews.

[25]  Feng Zhu,et al.  Performance Evaluation and Online Realization of Data-driven Normalization Methods Used in LC/MS based Untargeted Metabolomics Analysis , 2016, Scientific Reports.

[26]  C. Dang,et al.  From Krebs to clinic: glutamine metabolism to cancer therapy , 2016, Nature Reviews Cancer.

[27]  Ashutosh Kumar Singh,et al.  Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015 , 2016, The Lancet.

[28]  Y. Chun,et al.  Comparative metabolic and lipidomic profiling of human breast cancer cells with different metastatic potentials , 2016, Oncotarget.

[29]  A. Erez,et al.  A metabolic link between the urea cycle and cancer cell proliferation , 2016, Molecular & cellular oncology.

[30]  W. D. De Vos,et al.  Reducing Compounds Equivocally Influence Oxidation during Digestion of a High-Fat Beef Product, which Promotes Cytotoxicity in Colorectal Carcinoma Cell Lines. , 2016, Journal of agricultural and food chemistry.

[31]  Lian‐Wen Qi,et al.  Human plasma metabolomics for identifying differential metabolites and predicting molecular subtypes of breast cancer , 2016, Oncotarget.

[32]  S. Böcker,et al.  Searching molecular structure databases with tandem mass spectra using CSI:FingerID , 2015, Proceedings of the National Academy of Sciences.

[33]  K. Tepp,et al.  Metabolic remodeling in human colorectal cancer and surrounding tissues: alterations in regulation of mitochondrial respiration and metabolic fluxes , 2015, Biochemistry and biophysics reports.

[34]  Daniel Golovko,et al.  Colorectal cancer models for novel drug discovery , 2015, Expert opinion on drug discovery.

[35]  M. Graham,et al.  The multifactorial role of the 3Rs in shifting the harm-benefit analysis in animal models of disease , 2015, European journal of pharmacology.

[36]  M. Cekanova,et al.  Animal models and therapeutic molecular targets of cancer: utility and limitations , 2014, Drug design, development and therapy.

[37]  Liam O'Connor,et al.  Colorectal cancer cell lines are representative models of the main molecular subtypes of primary cancer. , 2014, Cancer research.

[38]  J. McGowan,et al.  Intravenous Vitamin C and Cancer , 2014, Integrative cancer therapies.

[39]  E. Bowman,et al.  Biomarkers of coordinate metabolic reprogramming in colorectal tumors in mice and humans. , 2014, Gastroenterology.

[40]  G. Singh.  Mitochondrial FAD-linked Glycerol-3-phosphate Dehydrogenase: A Target for Cancer Therapeutics , 2014, Pharmaceuticals.

[41]  R. Lothe,et al.  Epigenetic and genetic features of 24 colon cancer cell lines , 2013, Oncogenesis.

[42]  G. Meijer,et al.  Proteomics in colorectal cancer translational research: biomarker discovery for clinical applications. , 2013, Clinical biochemistry.

[43]  J. Fleet,et al.  Animal models of colorectal cancer , 2013, Cancer and Metastasis Reviews.

[44]  J. Azuma,et al.  Mechanism underlying the antioxidant activity of taurine: prevention of mitochondrial oxidant production , 2012, Amino Acids.

[45]  Yair Lotan,et al.  Metabolomic profiling reveals potential markers and bioprocesses altered in bladder cancer progression. , 2011, Cancer research.

[46]  T. Bathen,et al.  Magnetic resonance metabolomics of intact tissue: a biotechnological tool in cancer diagnostics and treatment evaluation. , 2010, Cancer research.

[47]  David S. Wishart,et al.  MSEA: a web-based tool to identify biologically meaningful patterns in quantitative metabolomic data , 2010, Nucleic Acids Res..

[48]  M. Brázdová,et al.  Fetal colon cell line FHC exhibits tumorigenic phenotype, complex karyotype, and TP53 gene mutation. , 2010, Cancer genetics and cytogenetics.

[49]  M. Tomita,et al.  Quantitative metabolome profiling of colon and stomach cancer microenvironment by capillary electrophoresis time-of-flight mass spectrometry. , 2009, Cancer research.

[50]  V. Detours,et al.  Human cancer cell lines: Experimental models for cancer cells in situ? For cancer stem cells? , 2009, Biochimica et biophysica acta.

[51]  Charles Giardina,et al.  Mouse models for the study of colon carcinogenesis. , 2008, Carcinogenesis.

[52]  Nigel W. Hardy,et al.  Proposed minimum reporting standards for chemical analysis , 2007, Metabolomics.

[53]  Eoin Fahy,et al.  LIPID MAPS online tools for lipid research , 2007, Nucleic Acids Res..

[54]  D. Chopra,et al.  Primary and long term epithelial cell cultures from human fetal normal colonic mucosa , 1984, In Vitro.

[55]  P. Arnstein,et al.  Source, alterations, characteristics and use of a new dog cell line (Cf2Th) , 1976, In Vitro.

[56]  R. Shoemaker.  The NCI60 human tumour cell line anticancer drug screen , 2006, Nature Reviews Cancer.

[57]  Stefan Schneeberger,et al.  Prognostic value of indoleamine 2,3-dioxygenase expression in colorectal cancer: effect on tumor-infiltrating T cells. , 2006, Clinical cancer research : an official journal of the American Association for Cancer Research.

[58]  H. Daniel,et al.  Increased carnitine-dependent fatty acid uptake into mitochondria of human colon cancer cells induces apoptosis. , 2005, The Journal of nutrition.

[59]  G. Prendergast,et al.  Inhibition of indoleamine 2,3-dioxygenase, an immunoregulatory target of the cancer suppression gene Bin1, potentiates cancer chemotherapy , 2005, Nature Medicine.

[60]  I. Kola,et al.  Can the pharmaceutical industry reduce attrition rates? , 2004, Nature Reviews Drug Discovery.

[61]  E. Jacobson,et al.  Mapping the role of NAD metabolism inprevention and treatment of carcinogenesis , 2004, Molecular and Cellular Biochemistry.

[62]  B. Marian.  In vitro models for the identification and characterization of tumor-promoting and protective factors for colon carcinogenesis. , 2002, Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association.

[63]  R. Hay,et al.  Isolation and culture of colonic epithelial cells in serum-free medium , 1985 .

[64]  Thomas D. Schmittgen,et al.  Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2 2 DD C T Method , 2022 .