Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Christopher Hardt"'
Autor:
Oleksiy Klymenko, Tim Brecklinghaus, Matthias Dille, Christian Springer, Christian de Wendt, Delsi Altenhofen, Christian Binsch, Birgit Knebel, Jürgen Scheller, Christopher Hardt, Ralf Herwig, Alexandra Chadt, Paul T. Pfluger, Hadi Al-Hasani, Dhiraj G. Kabra
Publikováno v:
Molecular Metabolism, Vol 42, Iss , Pp 101062- (2020)
Objective: Physical exercise training is associated with increased glucose uptake in skeletal muscle and improved glycemic control. HDAC5, a class IIa histone deacetylase, has been shown to regulate transcription of the insulin-responsive glucose tra
Externí odkaz:
https://doaj.org/article/d7110dc9210f404194fceba6eab56a03
Autor:
Sonja Katz, Jaco Suijker, Christopher Hardt, Martin Bruun Madsen, Annebeth Meij-de Vries, Anouk Pijpe, Steinar Skrede, Ole Hyldegaard, Erik Solligård, Anna Norrby-Teglund, Edoardo Saccenti, Vitor A.P. Martins dos Santos
Publikováno v:
Katz, S, Suijker, J, Hardt, C, Madsen, M B, Vries, A M, Pijpe, A, Skrede, S, Hyldegaard, O, Solligård, E, Norrby-Teglund, A, Saccenti, E & Martins dos Santos, V A P 2022, ' Decision support system and outcome prediction in a cohort of patients with necrotizing soft-tissue infections ', International Journal of Medical Informatics, vol. 167, 104878 . https://doi.org/10.1016/j.ijmedinf.2022.104878
Katz, S, Suijker, J, Hardt, C, Madsen, M B, Vries, A M D, Pijpe, A, Skrede, S, Hyldegaard, O, Solligård, E, Norrby-Teglund, A, Saccenti, E & Martins dos Santos, V A P 2022, ' Decision support system and outcome prediction in a cohort of patients with necrotizing soft-tissue infections ', International Journal of Medical Informatics, vol. 167, 104878 . https://doi.org/10.1016/j.ijmedinf.2022.104878
International Journal of Medical Informatics
International Journal of Medical Informatics, 167
International Journal of Medical Informatics, 167:104878. Elsevier Ireland Ltd
International Journal of Medical Informatics 167 (2022)
Katz, S, Suijker, J, Hardt, C, Madsen, M B, Vries, A M D, Pijpe, A, Skrede, S, Hyldegaard, O, Solligård, E, Norrby-Teglund, A, Saccenti, E & Martins dos Santos, V A P 2022, ' Decision support system and outcome prediction in a cohort of patients with necrotizing soft-tissue infections ', International Journal of Medical Informatics, vol. 167, 104878 . https://doi.org/10.1016/j.ijmedinf.2022.104878
International Journal of Medical Informatics
International Journal of Medical Informatics, 167
International Journal of Medical Informatics, 167:104878. Elsevier Ireland Ltd
International Journal of Medical Informatics 167 (2022)
Introduction: Necrotizing Soft Tissue Infections (NSTI) are severe infections with high mortality affecting a heterogeneous patient population. There is a need for a clinical decision support system which predicts outcomes and provides treatment reco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::462dc9f38e9084d93e93497d95b57729
https://research.vumc.nl/en/publications/987c5951-3590-4a64-92a1-04281f835dcc
https://research.vumc.nl/en/publications/987c5951-3590-4a64-92a1-04281f835dcc
Autor:
Dhiraj G. Kabra, Christian Springer, Jürgen Scheller, D Altenhofen, Hadi Al-Hasani, Ralf Herwig, Matthias Dille, Tim Brecklinghaus, Paul T. Pfluger, Christopher Hardt, Birgit Knebel, Oleksiy Klymenko, Christian de Wendt, C Binsch, Alexandra Chadt
Publikováno v:
Mol. Metab. 42:101062 (2020)
Molecular Metabolism
Molecular Metabolism, Vol 42, Iss, Pp 101062-(2020)
Molecular Metabolism
Molecular Metabolism, Vol 42, Iss, Pp 101062-(2020)
Objective Physical exercise training is associated with increased glucose uptake in skeletal muscle and improved glycemic control. HDAC5, a class IIa histone deacetylase, has been shown to regulate transcription of the insulin-responsive glucose tran
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b0513d0ffe064cd0670013bcf742abb
https://push-zb.helmholtz-muenchen.de/frontdoor.php?source_opus=60015
https://push-zb.helmholtz-muenchen.de/frontdoor.php?source_opus=60015
Publikováno v:
Necrotizing Soft Tissue Infections. Springer
Necrotizing Soft Tissue Infections
Advances in Experimental Medicine and Biology ISBN: 9783030576158
Necrotizing Soft Tissue Infections
Advances in Experimental Medicine and Biology ISBN: 9783030576158
Necrotizing soft tissue infections (NSTI) are multifactorial and characterized by dysfunctional, time dependent, highly varying hyper- to hypo-inflammatory host responses contributing to disease severity. Furthermore, host-pathogen interactions are d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfdaf969f04978e84c275fef23036a46
https://research.wur.nl/en/publications/systems-and-precision-medicine-in-necrotizing-soft-tissue-infecti
https://research.wur.nl/en/publications/systems-and-precision-medicine-in-necrotizing-soft-tissue-infecti
Transcriptional signature induced by a metastasis‐promoting c‐Src mutant in a human breast cell line
Autor:
Martin Kerick, Christopher Hardt, Lubor Borsig, Ralf Herwig, Felix Broecker, Hans Lehrach, Michal R. Schweiger, Bernd Timmermann, Mathias Heikenwalder, Andrea Wunderlich, Karin Moelling
Publikováno v:
The FEBS Journal
Deletions at the C-terminus of the proto-oncogene protein c-Src kinase are found in the viral oncogene protein v-Src as well as in some advanced human colon cancers. They are associated with increased kinase activity and cellular invasiveness. Here,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b780e0012bb71d6b409643a2bface56
https://doi.org/10.1111/febs.13694
https://doi.org/10.1111/febs.13694
Autor:
Atanas Kamburov, Jos C. S. Kleinjans, Moritz Emanuel Beber, Axel Rasche, Christopher Hardt, Dennie G. A. J. Hebels, Ralf Herwig
Publikováno v:
Database-The Journal of Biological Databases and Curation, 2016:baw052. Oxford University Press
Database (Oxford)
Database: The Journal of Biological Databases and Curation
Database (Oxford)
Database: The Journal of Biological Databases and Curation
Motivation: Extensive drug treatment gene expression data have been generated in order to identify biomarkers that are predictive for toxicity or to classify compounds. However, such patterns are often highly variable across compounds and lack robust
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1327fb17a5e2a89ecd8df519b0f28608
https://cris.maastrichtuniversity.nl/en/publications/d8c3c654-a3d5-4625-8b5f-454d82f3f8c7
https://cris.maastrichtuniversity.nl/en/publications/d8c3c654-a3d5-4625-8b5f-454d82f3f8c7