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Quantitative high-resolution genomic analysis of single cancer cells.
Hannemann J, Meyer-Staeckling S, Kemming D, Alpers I, Joosse SA, Pospisil H, Kurtz S, Görndt J, Püschel K, Riethdorf S, Pantel K, Brandt B. Hannemann J, et al. Among authors: pospisil h. PLoS One. 2011;6(11):e26362. doi: 10.1371/journal.pone.0026362. Epub 2011 Nov 30. PLoS One. 2011. PMID: 22140428 Free PMC article.
Identification of clinically relevant protein targets in prostate cancer with 2D-DIGE coupled mass spectrometry and systems biology network platform.
Ummanni R, Mundt F, Pospisil H, Venz S, Scharf C, Barett C, Fälth M, Köllermann J, Walther R, Schlomm T, Sauter G, Bokemeyer C, Sültmann H, Schuppert A, Brümmendorf TH, Balabanov S. Ummanni R, et al. Among authors: pospisil h. PLoS One. 2011 Feb 11;6(2):e16833. doi: 10.1371/journal.pone.0016833. PLoS One. 2011. PMID: 21347291 Free PMC article.
Combination of a proteomics approach and reengineering of meso scale network models for prediction of mode-of-action for tyrosine kinase inhibitors.
Balabanov S, Wilhelm T, Venz S, Keller G, Scharf C, Pospisil H, Braig M, Barett C, Bokemeyer C, Walther R, Brümmendorf TH, Schuppert A. Balabanov S, et al. Among authors: pospisil h. PLoS One. 2013;8(1):e53668. doi: 10.1371/journal.pone.0053668. Epub 2013 Jan 9. PLoS One. 2013. PMID: 23326482 Free PMC article.
27 results