Literature DB >> 22556165

Analysis of dynamic changes in the proteome of a Bcl-XL overexpressing Chinese hamster ovary cell culture during exponential and stationary phases.

Tyler Carlage1, Rashmi Kshirsagar, Li Zang, Vijay Janakiraman, Marina Hincapie, Yelena Lyubarskaya, Andy Weiskopf, William S Hancock.   

Abstract

Mammalian cell cultures used for biopharmaceutical production undergo various dynamic biological changes over time, including the transition of cells from an exponential growth phase to a stationary phase during cell culture. To better understand the dynamic aspects of cell culture, a quantitative proteomics approach was used to identify dynamic trends in protein expression over the course of a Chinese hamster ovary (CHO) cell culture for the production of a recombinant monoclonal antibody and overexpressing the antiapoptotic gene Bcl-xl. Samples were analyzed using a method incorporating iTRAQ labeling, two-dimensional LC/MS, and linear regression calculations to identify significant dynamic trends in protein abundance. Using this approach, 59 proteins were identified with significant temporal changes in expression. Pathway analysis tools were used to identify a putative network of proteins associated with cell growth and apoptosis. Among the differentially expressed proteins were molecular chaperones and isomerases, such as GRP78 and PDI, and reported cell growth markers MCM2 and MCM5. In addition, two proteins with growth-regulating properties, transglutaminase-2 and clusterin, were identified. These proteins are associated with tumor proliferation and apoptosis and were observed to be expressed at relatively high levels during stationary phase, which was confirmed by western blotting. The proteomic methodology described here provides a dynamic view of protein expression throughout a CHO fed-batch cell culture, which may be useful for further elucidating the biological processes driving mammalian cell culture performance.
Copyright © 2012 American Institute of Chemical Engineers (AIChE).

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Year:  2012        PMID: 22556165     DOI: 10.1002/btpr.1534

Source DB:  PubMed          Journal:  Biotechnol Prog        ISSN: 1520-6033


  7 in total

1.  Toward the complete characterization of host cell proteins in biotherapeutics via affinity depletions, LC-MS/MS, and multivariate analysis.

Authors:  James A Madsen; Victor Farutin; Theresa Carbeau; Steve Wudyka; Yan Yin; Stephen Smith; James Anderson; Ishan Capila
Journal:  MAbs       Date:  2015-08-20       Impact factor: 5.857

2.  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

3.  Recovery of Chinese hamster ovary host cell proteins for proteomic analysis.

Authors:  Kristin N Valente; Amy K Schaefer; Hannah R Kempton; Abraham M Lenhoff; Kelvin H Lee
Journal:  Biotechnol J       Date:  2013-12-10       Impact factor: 4.677

Review 4.  Exploiting the proteomics revolution in biotechnology: from disease and antibody targets to optimizing bioprocess development.

Authors:  Kelley M Heffner; Deniz Baycin Hizal; Amit Kumar; Joseph Shiloach; Jie Zhu; Michael A Bowen; Michael J Betenbaugh
Journal:  Curr Opin Biotechnol       Date:  2014-07-03       Impact factor: 10.279

5.  ELISA reagent coverage evaluation by affinity purification tandem mass spectrometry.

Authors:  Scott M Henry; Elissa Sutlief; Oscar Salas-Solano; John Valliere-Douglass
Journal:  MAbs       Date:  2017-07-14       Impact factor: 5.857

6.  Comparative systeomics to elucidate physiological differences between CHO and SP2/0 cell lines.

Authors:  Deniz Demirhan; Amit Kumar; Jie Zhu; Pi Camilla Poulsen; Natalia I Majewska; Yinong Sebastian; Raghothama Chaerkady; Wen Yu; Wei Zhu; Li Zhuang; Punit Shah; Kristen Lekstrom; Robert N Cole; Hui Zhang; Michael J Betenbaugh; Michael A Bowen
Journal:  Sci Rep       Date:  2022-02-28       Impact factor: 4.379

Review 7.  Human cell lines for biopharmaceutical manufacturing: history, status, and future perspectives.

Authors:  Jennifer Dumont; Don Euwart; Baisong Mei; Scott Estes; Rashmi Kshirsagar
Journal:  Crit Rev Biotechnol       Date:  2015-09-18       Impact factor: 8.429

  7 in total

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