Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Isabella Thiel"'
Autor:
Diana Széliová, Jerneja Štor, Isabella Thiel, Marcus Weinguny, Michael Hanscho, Gabriele Lhota, Nicole Borth, Jürgen Zanghellini, David E Ruckerbauer, Isabel Rocha
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 6, p e1009022 (2021)
Chinese hamster ovary (CHO) cells are the leading platform for the production of biopharmaceuticals with human-like glycosylation. The standard practice for cell line generation relies on trial and error approaches such as adaptive evolution and high
Externí odkaz:
https://doaj.org/article/3f6e3e27cbca41a8845046f16e44f498
Attenuated PDGF signaling drives alveolar and microvascular defects in neonatal chronic lung disease
Autor:
Prajakta Oak, Tina Pritzke, Isabella Thiel, Markus Koschlig, Daphne S Mous, Anita Windhorst, Noopur Jain, Oliver Eickelberg, Kai Foerster, Andreas Schulze, Wolfgang Goepel, Tobias Reicherzer, Harald Ehrhardt, Robbert J Rottier, Peter Ahnert, Ludwig Gortner, Tushar J Desai, Anne Hilgendorff
Publikováno v:
EMBO Molecular Medicine, Vol 9, Iss 11, Pp 1504-1520 (2017)
Abstract Neonatal chronic lung disease (nCLD) affects a significant number of neonates receiving mechanical ventilation with oxygen‐rich gas (MV‐O2). Regardless, the primary molecular driver of the disease remains elusive. We discover significant
Externí odkaz:
https://doaj.org/article/c55476416009460e819c1dbc8a378e98
Autor:
Gabriele Lhota, Diana Széliová, David E. Ruckerbauer, Nicole Borth, Jerneja Štor, Isabel Rocha, Marcus Weinguny, Isabella Thiel, Michael Hanscho, Jürgen Zanghellini
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 6, p e1009022 (2021)
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
PLoS Computational Biology
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
PLoS Computational Biology
Chinese hamster ovary (CHO) cells are the leading platform for the production of biopharmaceuticals with human-like glycosylation. The standard practice for cell line generation relies on trial and error approaches such as adaptive evolution and high
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7e196929103027bfb7463a56810d140
https://doaj.org/article/3f6e3e27cbca41a8845046f16e44f498
https://doaj.org/article/3f6e3e27cbca41a8845046f16e44f498