Incorporating RNA‐Seq transcriptomics into glycosylation‐integrating metabolic network modelling kinetics: Multiomic Chinese hamster ovary (CHO) cell bioreactors-Reference-Cited by-同舟云学术

Incorporating RNA‐Seq transcriptomics into glycosylation‐integrating metabolic network modelling kinetics: Multiomic Chinese hamster ovary (CHO) cell bioreactors

Published:2021-01-21 Issue:4 Volume:118 Page:1476-1490
ISSN:0006-3592
Container-title:Biotechnology and Bioengineering
language:en
Short-container-title:Biotechnol Bioeng

Author:

Bezjak Lara¹,Erklavec Zajec Vivian¹,Baebler Špela²,Stare Tjaša²,Gruden Kristina²,Pohar Andrej¹,Novak Uroš¹,Likozar Blaž¹^ORCID

Affiliation:

1. Department of Catalysis and Chemical Reaction Engineering National Institute of Chemistry Ljubljana Slovenia

2. Department of Biotechnology and Systems Biology National Institute of Biology Ljubljana Slovenia

Publisher

Wiley

Subject

Applied Microbiology and Biotechnology,Bioengineering,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/bit.27660

Reference46 articles.

1. Metabolic flux analysis of CHO cells at growth and non-growth phases using isotopic tracers and mass spectrometry

2. Integration of gene expression data into genome-scale metabolic models

3. Multi‐Omics Study on the Impact of Cysteine Feed Level on Cell Viability and mAb Production in a CHO Bioprocess

4. Opening the black box: Chinese hamster ovary research goes genome scale

5. Application of a curated genome-scale metabolic model of CHO DG44 to an industrial fed-batch process

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