Abstract
The genetic sequencing of Chinese hamster ovary cells has initiated a systems biology era for biotechnology applications. In addition to genomics, critical ‘omics data sets also include proteomics, transcriptomics and metabolomics. Recently, the use of proteomics in cell lines for recombinant protein production has increased significantly because proteomics can track changes in protein levels for different cell lines over time, which can be advantageous for bioprocess development and optimization. Specifically, the identification of proteins that affect cell culture processes can aid efforts in media development and cell line engineering to improve growth or productivity, delay the onset of apoptosis, or utilize nutrients efficiently. Mass-spectrometry based and other proteomics methods can provide for the detection of thousands of proteins from cell culture and bioinformatics analysis serves to identify and quantify protein levels. Optimizations of sample preparations and database development, including a detailed CHO proteome now available, have improved the quantity and accuracy of identified proteins. The applications are widespread and expanding, thus suggesting numerous applications of proteomics and combined ‘omics experiments in coming years.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Baik JY, Lee MS, An SR, Yoon SK, Kim YH, Park HW, Lee GM (2006) Initial transcriptome and proteome analyses of low culture temperature-induced expression in CHO cells producing erythropoietin. Biotechnol Bioeng 93(2):361–371
Baik JY, Joo EJ, Kim YH, Lee GM (2008) Limitations to the comparative proteomic analysis of thrombopoeitin producing Chinese hamster ovary cells treated with sodium butyrate. J Biotechnol 133(4):461–468
Baik JY, Ha TK, Kim YH, Lee GM (2011) Proteomic understanding of intracellular response of recombinant Chinese hamster ovary cells adapted to grow in serum-free suspension culture. Biotechnol Prog 27(6):1680–1688
Baycin-Hizal D, Tabb DL, Chaerkady R, Chen L, Lewis NE, Nagarajan H, Sarkaria V, Kumar A, Wolozny D, Colao J, Jacobson E, Tian Y, O’meally RN, Krag S, Cole RN, Palsson BO, Zhang H, Betenbaugh M (2012) Proteomic analysis of Chinese hamster ovary (CHO) cells. J Proteome Res 11(11):265–5276
Becker J, Hackl M, Rupp O, Jakobi T, Schneider J, Szczepanowski R, Bekel T, Borth N, Goesmann A, Grillari J et al (2011) Unraveling the Chinese hamster ovary cell line transcriptome by next-generation sequencing. J Biotechnol 156(3):227–235
Beckmann TF, Kramer O, Klausing S, Heinrich C, Thute T, Buntemeyer H, Hoffrogge R, Noll T (2012) Effects of high passage cultivation of CHO cells: a global analysis. Appl Microbiol Biotechnol 94(3):659–671
Bonner MK, Poole DS, Xu T, Sarkeshik A, Yates Iii JR, Skop AR (2011) Mitotic spindle proteomics in Chinese hamster ovary cells. PLoS One 6(5):e20489
Brinkrolf K, Rupp O, Laux H, Kollin F, Ernst W, Linke B, Kofler R, Romand S, Hesse F, Budach WE et al (2013) Chinese hamster genome sequenced from sorted chromosomes. Nat Biotechnol 31(8):694–695
Carlage T, Hincapie M, Zang L, Lyubarskaya Y, Madden H, Mhatre R, Hancock WS (2009) Proteomic profiling of a high-producing Chinese hamster ovary cell culture. Anal Chem 81(17):7357–7362
Carlage T, Kshirsagar R, Zang L, Janakiraman V, Hincapie M, Lyubarskaya Y, Weiskopf A, Hancock WS (2012) Analysis of dynamic changes in the proteome of a Bcl-Xl overexpressing Chinese hamster ovary cell culture during exponential and stationary phases. Biotechnol Prog 28(3):814–823
Clarke C, Henry M, Doolan P, Kelly S, Aherne S, Sanchez N, Kelly P, Kinsella P, Breen L, Madden SF, Zhang L, Leonard M, Clynes M, Meleady P, Barron N (2012) Integrated miRNA, mRNA, and protein expression analysis reveals the role of post-transcriptional regulation in controlling CHO cell growth rate. BMC Genomics 13:656
Doolan P, Meleady P, Barron N, Henry M, Gallagher R, Gammell P, Melville M, Sinacore M, Mccarthy K, Leonard M, Charlebois T, Clynes M (2010) Microarray and proteomics expression profiling identifies several candidates, including the valosin-containing protein (VCP), involved in regulating high cellular growth rate in production CHO cell lines. Biotechnol Bioeng 106(1):42–56
Dorai H, Liu S, Yao X, Wang Y, Tekindemir U, Lewis MJ, Wu S, Hancock W (2013) Proteomic analysis of bioreactor cultures of an antibody expressing CHO-GS cell line that promotes high productivity. J Proteomics Bioinformatics 6:99–108
Druz A, Chu C, Majors B, Santuary R, Betenbaugh M, Shiloach J (2011) A novel microRNA mmu-miR-466h affects apoptosis regulation in mammalian cells. Biotechnol Bioeng 108(7):1651–1661
Druz A, Son YJ, Betenbaugh M, Shiloach J (2013) Stable inhibition of mmu-miR-466h-5p improves apoptosis resistance and protein production in CHO cells. Metab Eng 16:67–94
Fischer S, Wagner A, Kos A, Aschrafi A, Handrick R, Hannemann J, Otte K (2013) Breaking limitations of complex culture media: functional non-viral miRNA delivery into pharmaceutical production cell lines. J Biotechnol 168(4):589–600
Gaj T, Guo J, Kato Y, Sirk SJ, Barbas Iii CF (2012) Targeted gene knockout by direct delivery of zinc-finger nuclease proteins. Nat Methods 9(8):805–807
Gibbs RA, Weinstock GM, Metzker ML, Muzny DM, Sodergren EJ, Scherer S, Scott G, Steffen D, Worley KC, Burch PE et al (2004) Genome sequence of the Brown Norway rat yields insights into mammalian evolution. Nature 428(6982):493–521
Hackl M, Jakobi T, Blom J, Doppmeier D, Brinkrolf K, Szczepanowski R, Bernhart SH, Honer Zu Siderdissen C, Bort JA, Wieser M et al (2011) Next-generation sequencing of the Chinese hamster ovary microRNA transcriptome: identification, annotation and profiling of microRNAs as targets for cellular engineering. J Biotechnol 153(1–2):62–75
Hackl M, Jadhav V, Jakobi T, Rupp O, Brinkrolf K, Goesmann A, Puhler A, Noll T, Borth N, Grillari J (2012) Computational identification of microRNA gene loci and precursor microRNA sequences in CHO cell lines. J Biotechnol 158(3):151–155
Hammond S, Kaplarevic M, Borth N, Betenbaugh MJ, Lee KH (2012) Chinese hamster genome database: an online resource for the CHO community at www.CHOgenome.org. Biotechnol Bioeng 109(6):1353–1356
Harsha HC, Molina H, Pandey A (2008) Quantitative proteomics using stable isotope labeling with amino acids in cell culture. Nat Protoc 3(3):505–516
Hayduk EJ, Choe LH, Lee KH (2004) A two-dimensional electrophoresis map of Chinese hamster ovary cell proteins based on fluorescence staining. Electrophoresis 25(15):2545–2556
Hernandez Bort JA, Hackl M, Hoflmayer H, Jadhav V, Harreither E, Kumar N, Ernst W, Grillari J, Borth N (2012) Dynamic mRNA and miRNA profiling of CHO-K1 suspension cell cultures. Biotechnol J 7(4):500–515
Kang S, Ren D, Xiao G, Daris K, Buck L, Enyenihi AA, Zubarev R, Bondarenko PV, Deshpande R, (2013) Cell line profiling to improve monoclonal antibody production. Biotechnol Bioeng 111(4):748–760
Kantardjieff A, Jacob NM, Yee JC, Epstein E, Kok Y, Philp R, Betenbaugh MJ, Hu W (2010) Transcriptome and proteome analysis of Chinese hamster ovary cells under low temperature and butyrate treatment. J Biotechnol 145(2):143–159
Kim JY, Kim Y, Han YK, Choi HS, Kim YH, Lee GM (2011) Proteomic understanding of intracellular responses of recombinant Chinese hamster ovary cells cultivated in serum-free medium supplemented with hydrosylates. Appl Microbiol Biotechnol 89(6):1917–1928
Kim JY, Kim YG, Lee GM (2012) CHO cells in biotechnology for production of recombinant proteins: current state and further potential. Appl Microbiol Biotechnol 93(3):917–930
Kuystermans D, Dunn MJ, Al-Rubeai M (2010) A proteomic study of cMyc improvement of CHO culture. BMC Biotechnol 10:25
Lander ES, Linton LM, Birren B, Nusbaum C, Zody MC, Baldwin J, Devon K, Dewar K, Doyle M, Fitzhugh W et al (2001) Initial sequencing and analysis of the human genome. Nature 409(6822):860–921
Lawrence S, Lahteenmaki R (2014) Public biotech 2013 the numbers. Nat Biotechnol 32:626–632
Lee JS, Park HJ, Kim YH, Lee GM (2010) Protein reference mapping of dihydrofolate reductase-deficient CHO DG44 cell lines using 2-dimensional electrophoresis. Proteomics 10(12):2292–2302
Lewis NE, Liu X, Li Y, Nagarajan H, Yerganian G, O’brien E, Bordbar A, Roth AM, Rosenbloom J, Bian C (2013) Genomic landscapes of Chinese hamster ovary cell lines as revealed by the Cricetulus griseus draft genome. Nat Biotechnol 31(8):759–765
Lim UM, Yap MG, Lim YP, Goh L, Ng SK (2013) Identification of autocrine growth factors secreted by CHO cells for applications in single-cell cloning media. J Proteome Res 12(7):3496–3510
Megger DA, Pott LL, Ahrens M, Padden J, Bracht T, Kuhlmann K, Eisenacher M, Meyer HE, Sitek B (2013) Comparison of label-free and label-based strategies for proteome analysis of hepatoma cell lines. Biochim Biophys Acta 1844(5):967–976
Meleady P, Doolan P, Henry M, Barron N, Keenan J, O’sullivan F, Clarke C, Gammell P, Melville M, Leonard M, Clynes M (2011) Sustained productivity in recombinant Chinese hamster ovary (CHO) cell lines: proteome analysis of the molecular basis for a process-related phenotype. BMC Biotechnol 11:78
Meleady P, Gallagher M, Clarke C, Henry M, Sanchez N, Barron N, Clynes M (2012a) Impact of miR-7 over-expression on the proteome of Chinese hamster ovary cells. J Biotechnol 160(3–4):251–262
Meleady P, Hoffrogge R, Henry M, Rupp O, Bort JH, Clarke C, Brinkrolf K, Kelly S, Muller B, Doolan P, Hackl M, Beckmann TF, Noll T, Grillari J, Barron N, Puhler A, Clynes M, Borth N (2012b) Utilization and evaluation of CHO-specific sequence databases for mass spectrometry based proteomics. Biotechnol Bioeng 109(6):1386–1394
Mertins P, Udeshi ND, Clauser KR, Mani DR, Patel J, Ong SE, Jaffe JD, Carr SA (2012) iTRAQ labeling is superior to mTRAQ for quantitative global proteomics and phosphoproteomics. Mol Cell Proteomics 11(6):M111.014423
Ohsfeldt E, Huang S, Baycin-Hizal D, Kristoffersen L, Le TT, Li E, Hristova K, Betenbaugh MJ (2012) Increased expression of the integral membrane proteins EGFR and FGFR3 in anti-apoptotic Chinese hamster ovary cell lines. Biotechnol Appl Biochem 59(3):155–162
Park SS, Wu WW, Zhou Y, Shen RF, Martin B, Maudsley S (2012) Effective correction of experimental errors in quantitative proteomics using stable isotope labeling by amino acids in cell culture (SILAC). J Proteomics 75(12):3720–3732
Puck TT, Cieciura SJ, Robinson A (1958) Genetics of somatic mammalian cells III Long-term cultivation of euploid cells from human and animal subjects. J Exp Med 108(6):945–956
Slade PG, Hajivandi M, Bartel CM, Gorfien SF (2012) Identifying the CHO secretome using mucin-type-O-linked glycosylation and click-chemistry. J Proteome Res 11(12):6175–6186
Tabuchi H, Sugiyama T, Tanaka S, Tainaka S (2010) Overexpression of taurine transporter in Chinese hamster ovary cells can enhance cell viability and product yield, while promoting glutamine consumption. Biotechnol Bioeng 107(6):998–1003
Valente KN, Choe LH, Lenhoff AM, Lee KH (2012) Optimization of protein sample preparation for two-dimensional electrophoresis. Electrophoresis 33(13):1947–1957
Valente KN, Schaefer AK, Kempton HR, Lenhoff AM, Lee KH (2014) Recovery of Chinese hamster ovary host cell proteins for proteomic analysis. Biotechnol J 9(1):87–99
Van Dyk DD, Misztal DR, Wilkins MR, Mackintosh JA, Poljak A, Varnai JC, Teber E, Walsh BJ, Gray PP (2003) Identification of cellular changes associated with increased production of human growth hormone in a recombinant Chinese hamster ovary cell line. Proteomics 3(2):147–156
Waterston RH, Lindblad-Toh K, Birney E, Rogers J, Abril JF, Agarwal P, Agarwala R, Ainscough R, Alexandersson M, An P et al (2002) Initial sequencing and comparative analysis of the mouse genome. Nature 420(6915):520–562
Wei YC, Naderi S, Meshram M, Budman H, Scharer JM, Ingalls BP, Mcconkey BJ (2011) Proteomics analysis of Chinese hamster ovary cells undergoing apoptosis during prolonged cultivation. Cytotechnology 63(6):663–677
Wiese S, Reidegeld KA, Meyer HE, Warscheid B (2007) Protein labeling by iTRAQ: a new tool for quantitative mass spectrometry in proteome research. Proteomics 7(3):340–350
Wisniewski JR, Zougman A, Nagaraj N, Mann M (2009) Universal sample preparation method for proteome analysis. Nat Methods 6(5):359
Xu X, Nagarajan H, Lewis NE, Pan S, Cai Z, Liu X, Chen W, Xie M, Wang W, Hammond S (2011) The genomic sequence of the Chinese hamster ovary (CHO)-K1 cell line. Nat Biotechnol 29:735–741
Yee JC, de Leon GM, Philp RJ, Yap M, Hu WS (2008) Genomic and proteomic exploration of CHO and hybridoma cells under sodium butyrate treatment. Biotechnol Bioeng 99(5):1186–1204
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Heffner, K., Kaas, C.S., Kumar, A., Baycin-Hizal, D., Betenbaugh, M. (2015). Proteomics in Cell Culture: From Genomics to Combined ‘Omics for Cell Line Engineering and Bioprocess Development. In: Al-Rubeai, M. (eds) Animal Cell Culture. Cell Engineering, vol 9. Springer, Cham. https://doi.org/10.1007/978-3-319-10320-4_19
Download citation
DOI: https://doi.org/10.1007/978-3-319-10320-4_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10319-8
Online ISBN: 978-3-319-10320-4
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)