Literature DB >> 19770009

Transcriptome and proteome analysis of Chinese hamster ovary cells under low temperature and butyrate treatment.

Anne Kantardjieff1, Nitya M Jacob, Joon Chong Yee, Eyal Epstein, Yee-Jiun Kok, Robin Philp, Michael Betenbaugh, Wei-Shou Hu.   

Abstract

Recombinant Chinese hamster ovary (CHO) cells selected for high productivity are capable of secreting immunoglobulin G (IgG) molecules at a level that rivals plasma cells in vivo. Following butyrate treatment at 33 degrees C, further increases in productivity are observed. To better understand the mechanisms by which this increased productivity is incurred, the transcriptional response of an antibody-producing cell line undergoing these treatments was investigated using oligo-DNA microarrays. Using distance calculations, more than 900 genes were identified as kinetically differentially expressed between the butyrate-treated 33 degrees C culture and the untreated culture. Furthermore, transcript levels of the heavy and light chain IgG genes increased following treatment. Using stable isotope labeling (SILAC), the secretion rate of IgG was investigated by tracking the decay of the isotope label upon switching to unlabeled medium. Both treated and untreated cultures exhibited very similar IgG secretion kinetics. In contrast, the intracellular IgG content was found to be elevated following treatment. This result suggests that increased productivity under treatment is attributable to elevated cellular secretory capacity, rather than shorter holding times in the secretory pathway. This hypothesis is further supported by the results of gene set enrichment analysis (GSEA), which revealed that elements of the secretory pathway, including Golgi apparatus, cytoskeleton protein binding and small GTPase-mediated signal transduction are enriched and thus may play a role in the increased recombinant protein production observed under butyrate treatment at 33 degrees C.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19770009     DOI: 10.1016/j.jbiotec.2009.09.008

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  24 in total

Review 1.  Genomics in mammalian cell culture bioprocessing.

Authors:  Diane M Wuest; Sarah W Harcum; Kelvin H Lee
Journal:  Biotechnol Adv       Date:  2011-11-04       Impact factor: 14.227

2.  Comparative Proteomic Analysis of Three Chinese Hamster Ovary (CHO) Host Cells.

Authors:  Ningning Xu; Chao Ma; Jianfa Ou; Wanqi Wendy Sun; Lufang Zhou; Hui Hu; Xiaoguang Margaret Liu
Journal:  Biochem Eng J       Date:  2017-05-15       Impact factor: 3.978

3.  Dynamics of unfolded protein response in recombinant CHO cells.

Authors:  Kamal Prashad; Sarika Mehra
Journal:  Cytotechnology       Date:  2014-02-07       Impact factor: 2.058

4.  Glycosylation and post-translational modification gene expression analysis by DNA microarrays for cultured mammalian cells.

Authors:  Arthur Nathan Brodsky; Mary Caldwell; Sarah W Harcum
Journal:  Methods       Date:  2011-10-19       Impact factor: 3.608

5.  Addition of valproic acid to CHO cell fed-batch cultures improves monoclonal antibody titers.

Authors:  William C Yang; Jiuyi Lu; Ngan B Nguyen; An Zhang; Nicholas V Healy; Rashmi Kshirsagar; Thomas Ryll; Yao-Ming Huang
Journal:  Mol Biotechnol       Date:  2014-05       Impact factor: 2.695

6.  Recurring genomic structural variation leads to clonal instability and loss of productivity.

Authors:  Arpan A Bandyopadhyay; Sofie A O'Brien; Liang Zhao; Hsu-Yuan Fu; Nandita Vishwanathan; Wei-Shou Hu
Journal:  Biotechnol Bioeng       Date:  2018-10-27       Impact factor: 4.530

7.  Into the unknown: expression profiling without genome sequence information in CHO by next generation sequencing.

Authors:  Fabian Birzele; Jochen Schaub; Werner Rust; Christoph Clemens; Patrick Baum; Hitto Kaufmann; Andreas Weith; Torsten W Schulz; Tobias Hildebrandt
Journal:  Nucleic Acids Res       Date:  2010-03-01       Impact factor: 16.971

8.  Elucidation of the CHO Super-Ome (CHO-SO) by Proteoinformatics.

Authors:  Amit Kumar; Deniz Baycin-Hizal; Daniel Wolozny; Lasse Ebdrup Pedersen; Nathan E Lewis; Kelley Heffner; Raghothama Chaerkady; Robert N Cole; Joseph Shiloach; Hui Zhang; Michael A Bowen; Michael J Betenbaugh
Journal:  J Proteome Res       Date:  2015-10-13       Impact factor: 4.466

9.  Next-generation sequencing of the Chinese hamster ovary microRNA transcriptome: Identification, annotation and profiling of microRNAs as targets for cellular engineering.

Authors:  Matthias Hackl; Tobias Jakobi; Jochen Blom; Daniel Doppmeier; Karina Brinkrolf; Rafael Szczepanowski; Stephan H Bernhart; Christian Höner Zu Siederdissen; Juan A Hernandez Bort; Matthias Wieser; Renate Kunert; Simon Jeffs; Ivo L Hofacker; Alexander Goesmann; Alfred Pühler; Nicole Borth; Johannes Grillari
Journal:  J Biotechnol       Date:  2011-03-30       Impact factor: 3.307

10.  Experimental and in silico modelling analyses of the gene expression pathway for recombinant antibody and by-product production in NS0 cell lines.

Authors:  Emma J Mead; Lesley M Chiverton; Sarah K Spurgeon; Elaine B Martin; Gary A Montague; C Mark Smales; Tobias von der Haar
Journal:  PLoS One       Date:  2012-10-10       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.