Harnessing secretory pathway differences between HEK293 and CHO to rescue production of difficult to express proteins
Magdalena Malm(KTH Royal Institute of Technology), Johan Rockberg(Centre for Palaeogenetics), Mona Moradi Barzadd(KTH Royal Institute of Technology), Chih‐Chung Kuo(University of California San Diego), Ronia Razavi(KTH Royal Institute of Technology), Aman Mebrahtu(KTH Royal Institute of Technology), Véronique Chotteau(KTH Royal Institute of Technology), Robert Roth(AstraZeneca (Sweden)), Sophia Hober(KTH Royal Institute of Technology), Anna-Luisa Volk(KTH Royal Institute of Technology), Hanna Tegel(KTH Royal Institute of Technology), Num Wistbacka(KTH Royal Institute of Technology), David Kotol(Science for Life Laboratory), Diane Hatton(AstraZeneca (United Kingdom)), Paul Varley(AstraZeneca (United Kingdom)), Nathan E. Lewis(University of Georgia), Torbjörn Gräslund(KTH Royal Institute of Technology), Magnus Lundqvist(Sahlgrenska University Hospital), Ray Field(AstraZeneca (United Kingdom)), Fredrik Edfors(Science for Life Laboratory)
Cited by 44
Related Papers
Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0
|Nature Protocols|2011|1.9k
Deciphering cell–cell interactions and communication from gene expression
|Nature Reviews Genetics|2020|1.3k
BiGG Models: A platform for integrating, standardizing and sharing genome-scale models
|Nucleic Acids Research|2015|1k
Omic data from evolved E. coli are consistent with computed optimal growth from genome‐scale models
|Molecular Systems Biology|2010|826
Constraining the metabolic genotype–phenotype relationship using a phylogeny of in silico methods
|Nature Reviews Microbiology|2012|809