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Nicole Borth
Researcher at University of Natural Resources and Life Sciences, Vienna
Publications - 165
Citations - 6022
Nicole Borth is an academic researcher from University of Natural Resources and Life Sciences, Vienna. The author has contributed to research in topics: Chinese hamster ovary cell & Cell culture. The author has an hindex of 42, co-authored 153 publications receiving 5234 citations. Previous affiliations of Nicole Borth include University of Agricultural Sciences, Dharwad & University of Agriculture, Faisalabad.
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Journal ArticleDOI
Effects of gene dosage, promoters, and substrates on unfolded protein stress of recombinant Pichia pastoris.
TL;DR: An increase of BiP was observed upon induction of expression, indicating that the intracellular product fraction exerts an unfolded protein response in the host cells.
Journal ArticleDOI
Process parameter shifting: Part I. Effect of DOT, pH, and temperature on the performance of Epo-Fc expressing CHO cells cultivated in controlled batch bioreactors.
Evelyn Trummer,Katharina Fauland,Silke Seidinger,Kornelia Schriebl,Christine Lattenmayer,Renate Kunert,Karola Vorauer-Uhl,Robert Weik,Nicole Borth,Hermann Katinger,Dethardt Müller +10 more
TL;DR: The reduction of cultivation temperature and the reduction of (external) pH are found to exert the most significant effects on process performance by mainly reducing cell growth and metabolism.
Journal ArticleDOI
Recon 2.2: from reconstruction to model of human metabolism
Neil Swainston,Kieran Smallbone,Hooman Hefzi,Paul D. Dobson,Judy Brewer,Michael Hanscho,Daniel C. Zielinski,Kok Siong Ang,Natalie J. Gardiner,Jahir M. Gutierrez,Sarantos Kyriakopoulos,Meiyappan Lakshmanan,Shangzhong Li,Joanne K. Liu,Veronica Martinez,Camila A. Orellana,Lake-Ee Quek,Alex Thomas,Juergen Zanghellini,Nicole Borth,Dong-Yup Lee,Dong-Yup Lee,Lars K. Nielsen,Douglas B. Kell,Nathan E. Lewis,Pedro Mendes +25 more
TL;DR: The human genome-scale metabolic reconstruction details all known metabolic reactions occurring in humans, and thereby holds substantial promise for studying complex diseases and phenotypes as discussed by the authors, and since the last community effort generated a consensus reconstruction, several updates have been developed.
Journal Article
Recon 2.2: from reconstruction to model of human metabolism
Neil Swainston,Kieran Smallbone,Hooman Hefzi,Paul D. Dobson,Judy Brewer,Michael Hanscho,Daniel C. Zielinski,Kok Siong Ang,Natalie J. Gardiner,Jahir M. Gutierrez,Sarantos Kyriakopoulos,Meiyappan Lakshmanan,Shangzhong Li,Joanne K. Liu,Veronica Martinez,Camila A. Orellana,Lake-Ee Quek,Alex Thomas,Juergen Zanghellini,Nicole Borth,Dong-Yup Lee,Dong-Yup Lee,Lars K. Nielsen,Douglas B. Kell,Nathan E. Lewis,Pedro Mendes +25 more
TL;DR: Through updates, the most complete and best annotated consensus human metabolic reconstruction available is achieved, thereby increasing the ability of this resource to provide novel insights into normal and disease states in human.
Journal ArticleDOI
A Consensus Genome-scale Reconstruction of Chinese Hamster Ovary Cell Metabolism.
Hooman Hefzi,Kok Siong Ang,Michael Hanscho,Aarash Bordbar,David E. Ruckerbauer,Meiyappan Lakshmanan,Camila A. Orellana,Deniz Baycin-Hizal,Yingxiang Huang,Daniel Ley,Veronica Martinez,Sarantos Kyriakopoulos,Natalia E Jiménez,Daniel C. Zielinski,Lake-Ee Quek,Tune Wulff,Johnny Arnsdorf,Shangzhong Li,Jae Seong Lee,Giuseppe Paglia,Nicolás Loira,Philipp Spahn,Lasse Ebdrup Pedersen,Jahir M. Gutierrez,Zachary A. King,Anne Mathilde Lund,Harish Nagarajan,Alex Thomas,Alyaa M. Abdel-Haleem,Juergen Zanghellini,Helene Faustrup Kildegaard,Bjørn G. Voldborg,Ziomara P. Gerdtzen,Michael J. Betenbaugh,Bernhard O. Palsson,Mikael Rørdam Andersen,Lars K. Nielsen,Nicole Borth,Dong-Yup Lee,Dong-Yup Lee,Nathan E. Lewis +40 more
TL;DR: The models accurately predict growth phenotypes and known auxotrophies in CHO cells and show that the metabolic resources in CHO are more than three times more efficiently utilized for growth or recombinant protein synthesis following targeted efforts to engineer the CHO secretory pathway.