Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Peter Tablack"'
Autor:
Oliver Fiehn, Manfred Dietel, Dominique Könsgen, Silvia Niesporek, Jalid Sehouli, Peter Tablack, Wilko Weichert, Tobias Kind, Jan Budczies, Carsten Denkert
Supplementary Figure 1 from Mass Spectrometry–Based Metabolic Profiling Reveals Different Metabolite Patterns in Invasive Ovarian Carcinomas and Ovarian Borderline Tumors
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::889e16277f9798cfdb020eaf9a8612ef
https://doi.org/10.1158/0008-5472.22366458.v1
https://doi.org/10.1158/0008-5472.22366458.v1
Autor:
Oliver Fiehn, Manfred Dietel, Dominique Könsgen, Silvia Niesporek, Jalid Sehouli, Peter Tablack, Wilko Weichert, Tobias Kind, Jan Budczies, Carsten Denkert
Supplementary Figure 2 from Mass Spectrometry–Based Metabolic Profiling Reveals Different Metabolite Patterns in Invasive Ovarian Carcinomas and Ovarian Borderline Tumors
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::583ec10547083f3c207ebaa9677d4f51
https://doi.org/10.1158/0008-5472.22366455
https://doi.org/10.1158/0008-5472.22366455
Autor:
Oliver Fiehn, Manfred Dietel, Dominique Könsgen, Silvia Niesporek, Jalid Sehouli, Peter Tablack, Wilko Weichert, Tobias Kind, Jan Budczies, Carsten Denkert
Supplementary Tables 1-3 from Mass Spectrometry–Based Metabolic Profiling Reveals Different Metabolite Patterns in Invasive Ovarian Carcinomas and Ovarian Borderline Tumors
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0052897eeab4fdc89f02f8dfb004f770
https://doi.org/10.1158/0008-5472.22366440.v1
https://doi.org/10.1158/0008-5472.22366440.v1
Autor:
Oliver Fiehn, Manfred Dietel, Dominique Könsgen, Silvia Niesporek, Jalid Sehouli, Peter Tablack, Wilko Weichert, Tobias Kind, Jan Budczies, Carsten Denkert
Metabolites are the end products of cellular regulatory processes, and their levels can be regarded as the ultimate response of biological systems to genetic or environmental changes. We have used a metabolite profiling approach to test the hypothesi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::243c70e15a3a8293832a67eb21571cde
https://doi.org/10.1158/0008-5472.c.6495144.v1
https://doi.org/10.1158/0008-5472.c.6495144.v1
Autor:
Oliver Fiehn, Manfred Dietel, Dominique Könsgen, Silvia Niesporek, Jalid Sehouli, Peter Tablack, Wilko Weichert, Tobias Kind, Jan Budczies, Carsten Denkert
Supplementary Figure Legends 1-3 from Mass Spectrometry–Based Metabolic Profiling Reveals Different Metabolite Patterns in Invasive Ovarian Carcinomas and Ovarian Borderline Tumors
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::860faa860e4dee8742bd7db3ca865024
https://doi.org/10.1158/0008-5472.22366446.v1
https://doi.org/10.1158/0008-5472.22366446.v1
Autor:
Oliver Fiehn, Manfred Dietel, Dominique Könsgen, Silvia Niesporek, Jalid Sehouli, Peter Tablack, Wilko Weichert, Tobias Kind, Jan Budczies, Carsten Denkert
Supplementary Figure 3 from Mass Spectrometry–Based Metabolic Profiling Reveals Different Metabolite Patterns in Invasive Ovarian Carcinomas and Ovarian Borderline Tumors
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a69acd88b13f2b26d0d19ca611928068
https://doi.org/10.1158/0008-5472.22366449.v1
https://doi.org/10.1158/0008-5472.22366449.v1
Publikováno v:
BIOspektrum. 19:690-693
Metabolic flux analysis (MFA) is a common method in systems biology to determine intracellular fluxes. MFA combinates in silico models with in vivo measurements to establish the specific metabolic phenotype of a species. To bring this method to the m
Autor:
Wilko Weichert, Peter Tablack, Oliver Fiehn, D. Könsgen, Jan Budczies, Tobias Kind, Carsten Denkert, Jalid Sehouli, Manfred Dietel, Silvia Niesporek
Publikováno v:
Cancer research. 66(22)
Metabolites are the end products of cellular regulatory processes, and their levels can be regarded as the ultimate response of biological systems to genetic or environmental changes. We have used a metabolite profiling approach to test the hypothesi