A preliminary analysis of volatile metabolites of human induced pluripotent stem cells along the in vitro differentiation

[1]  M. Farag,et al.  A Comparative Metabolomics Approach Reveals Early Biomarkers for Metabolic Response to Acute Myocardial Infarction , 2016, Scientific Reports.

[2]  G. Novelli,et al.  Human induced pluripotent stem cells for monogenic disease modelling and therapy. , 2016, World journal of stem cells.

[3]  Giorgio Pennazza,et al.  The lung cancer breath signature: a comparative analysis of exhaled breath and air sampled from inside the lungs , 2015, Scientific Reports.

[4]  Peter J Sterk,et al.  Exhaled Molecular Fingerprinting in Diagnosis and Monitoring: Validating Volatile Promises. , 2015, Trends in molecular medicine.

[5]  Roberto Paolesse,et al.  Investigation of VOCs associated with different characteristics of breast cancer cells , 2015, Scientific Reports.

[6]  F. Brancati,et al.  Generation of Human Induced Pluripotent Stem Cells from Extraembryonic Tissues of Fetuses Affected by Monogenic Diseases. , 2015, Cellular reprogramming.

[7]  Seung-Woo Lee,et al.  In vitro detection of small molecule metabolites excreted from cancer cells using a Tenax TA thin-film microextraction device. , 2015, Journal of chromatography. B, Analytical technologies in the biomedical and life sciences.

[8]  Wei Zhang,et al.  Assessment of ovarian cancer conditions from exhaled breath , 2015, International journal of cancer.

[9]  Zhongping Huang,et al.  Characterization of Volatile Organic Metabolites in Lung Cancer Pleural Effusions by SPME–GC/MS Combined with an Untargeted Metabolomic Method , 2014, Chromatographia.

[10]  Changsung Kim Disease modeling and cell based therapy with iPSC: future therapeutic option with fast and safe application , 2014, Blood research.

[11]  N. Benvenisty,et al.  Chemical ablation of tumor-initiating human pluripotent stem cells , 2014, Nature Protocols.

[12]  B. de Lacy Costello,et al.  A review of the volatiles from the healthy human body , 2014, Journal of breath research.

[13]  Radu Ionescu,et al.  Volatile fingerprints of cancer specific genetic mutations. , 2013, Nanomedicine : nanotechnology, biology, and medicine.

[14]  I. Weissman,et al.  Tumorigenicity as a clinical hurdle for pluripotent stem cell therapies , 2013, Nature Medicine.

[15]  O. Fiehn,et al.  Induced Pluripotent Stem Cells Show Metabolomic Differences to Embryonic Stem Cells in Polyunsaturated Phosphatidylcholines and Primary Metabolism , 2012, PloS one.

[16]  Charles Y. Lin,et al.  Transcriptional Amplification in Tumor Cells with Elevated c-Myc , 2012, Cell.

[17]  L. Looijenga,et al.  Lessons from human teratomas to guide development of safe stem cell therapies , 2012, Nature Biotechnology.

[18]  Ulrike Tisch,et al.  Classification of lung cancer histology by gold nanoparticle sensors. , 2012, Nanomedicine : nanotechnology, biology, and medicine.

[19]  N. Benvenisty,et al.  The tumorigenicity of human embryonic and induced pluripotent stem cells , 2011, Nature Reviews Cancer.

[20]  Jarrett Rosenberg,et al.  Single cell transcriptional profiling reveals heterogeneity of human induced pluripotent stem cells. , 2011, The Journal of clinical investigation.

[21]  Massimo Corradi,et al.  Lung cancer biomarkers in exhaled breath , 2011, Expert review of molecular diagnostics.

[22]  Anton Amann,et al.  Analysis of volatile organic compounds (VOCs) in the headspace of NCI-H1666 lung cancer cells. , 2011, Cancer biomarkers : section A of Disease markers.

[23]  Jiangjiang Zhu,et al.  Fast Detection of Volatile Organic Compounds from Bacterial Cultures by Secondary Electrospray Ionization-Mass Spectrometry , 2010, Journal of Clinical Microbiology.

[24]  C. Hoeschen,et al.  Discrimination of cancerous and non-cancerous cell lines by headspace-analysis with PTR-MS , 2010, Analytical and bioanalytical chemistry.

[25]  Hossam Haick,et al.  Sniffing the unique "odor print" of non-small-cell lung cancer with gold nanoparticles. , 2009, Small.

[26]  W. Miekisch,et al.  Breath gas aldehydes as biomarkers of lung cancer , 2009, International journal of cancer.

[27]  J. Herbig,et al.  On-line breath analysis with PTR-TOF , 2009, Journal of breath research.

[28]  J. Pawliszyn,et al.  A critical review in calibration methods for solid-phase microextraction. , 2008, Analytica chimica acta.

[29]  Age K. Smilde,et al.  UvA-DARE ( Digital Academic Repository ) Assessment of PLSDA cross validation , 2008 .

[30]  Ping Wang,et al.  A study of the volatile organic compounds exhaled by lung cancer cells in vitro for breath diagnosis , 2007, Cancer.

[31]  E. Martinelli,et al.  Lung cancer identification by the analysis of breath by means of an array of non-selective gas sensors. , 2003, Biosensors & bioelectronics.

[32]  M. Barker,et al.  Partial least squares for discrimination , 2003 .

[33]  L. Buck,et al.  Combinatorial Receptor Codes for Odors , 1999, Cell.

[34]  Jay W. Grate,et al.  Acoustic Wave Sensors , 1996 .

[35]  Mi-Ok Lee,et al.  In situ label-free quantification of human pluripotent stem cells with electrochemical potential. , 2016, Biomaterials.

[36]  R. M. Lec,et al.  Acoustic wave sensors , 2014 .

[37]  Shannon E. Stitzel,et al.  Artificial noses. , 2011, Annual review of biomedical engineering.

[38]  Tomas Mikoviny,et al.  Release of volatile organic compounds from the lung cancer cell line NCI-H2087 in vitro. , 2009, Anticancer research.

[39]  Heng Tao Shen,et al.  Principal Component Analysis , 2009, Encyclopedia of Biometrics.

[40]  R. Goodacre,et al.  Metabolic Profiling: Its Role in Biomarker Discovery and Gene Function Analysis , 2003, Springer US.

[41]  Edward T. Zellers,et al.  Chapter 3 – Acoustic Wave Sensors and Responses , 1997 .