Inverse Data-Driven Modeling and Multiomics Analysis Reveals Phgdh as a Metabolic Checkpoint of Macrophage Polarization and Proliferation

Author(s)
Jayne Louise Wilson, Thomas Naegele, Monika Linke, Florian Demel, Stephanie D. Fritsch, Hannah Katharina Mayr, Zhengnan Cai, Karl Katholnig, Xiaoliang Sun, Lena Fragner, Anne Miller, Arvand Haschemi, Alexandra Popa, Andreas Bergthaler, Markus Hengstschlaeger, Thomas Weichhart, Wolfram Weckwerth
Organisation(s)
Research Platform Vienna Metabolomics Center, Functional and Evolutionary Ecology
External organisation(s)
Medizinische Universität Wien, Österreichische Akademie der Wissenschaften (ÖAW), Ludwig-Maximilians-Universität München, Universität Wien
Journal
Cell Reports
Volume
30
Pages
1542-1552
ISSN
2211-1247
DOI
https://doi.org/10.1016/j.celrep.2020.01.011
Publication date
02-2020
Peer reviewed
Yes
Austrian Fields of Science 2012
106002 Biochemistry, 101028 Mathematical modelling, 106052 Cell biology, 106044 Systems biology
Keywords
ASJC Scopus subject areas
Biochemistry, Genetics and Molecular Biology(all)
Portal url
https://ucris.univie.ac.at/portal/en/publications/inverse-datadriven-modeling-and-multiomics-analysis-reveals-phgdh-as-a-metabolic-checkpoint-of-macrophage-polarization-and-proliferation(8453632d-b7f0-43fe-8994-c44a676803b5).html