Enhancement of production of protein biopharmaceuticals by mammalian cell cultures: The metabolomics perspective

Current Opinion in Biotechnology

Volumn 30, Issue , 2014, Pages 73-79

  Dickson, Alan J ^a  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

METABOLISM; PRODUCTIVITY;

BIOPHARMACEUTICALS; CELLULAR PROCESS; CHINESE HAMSTER OVARY CELLS; KEY INDICATOR; MAMMALIAN CELL CULTURE; METABOLIC MODELS; RATIONALISATION; RECOMBINANT CELLS; METABOLOMICS;

CELL CULTURE;

CITRIC ACID; RECOMBINANT PROTEIN;

ANIMAL CELL; BIOPROCESS; CELL ENGINEERING; CELL FUNCTION; CELL GROWTH; CHO CELL LINE; CITRIC ACID CYCLE; CULTURE MEDIUM; GLYCOLYSIS; MAMMAL CELL; METABOLIC ENGINEERING; METABOLOMICS; NONHUMAN; PHARMACEUTICAL ENGINEERING; PRIORITY JOURNAL; PROCESS DESIGN; PRODUCTIVITY; PROTEIN ENGINEERING; PROTEIN PROCESSING; REVIEW; ANIMAL; CRICETULUS; CULTURE TECHNIQUE; GENETICS; MAMMAL; METABOLISM; ANIMAL CELL CULTURE; CELL METABOLISM; CLONAL VARIATION; DATA ANALYSIS; DATA SYNTHESIS; EXTRACELLULAR FLUID; INTRACELLULAR FLUID; METABOLIC FLUX ANALYSIS; PROCESS DEVELOPMENT; PROTEIN QUALITY; PROTEIN SYNTHESIS;

ANIMALS; CELL CULTURE TECHNIQUES; CHO CELLS; CRICETULUS; MAMMALS; METABOLOMICS; RECOMBINANT PROTEINS;

EID: 84903593053     PISSN: 09581669     EISSN: 18790429     Source Type: Journal    
DOI: 10.1016/j.copbio.2014.06.004     Document Type: Review

References (52)

1. Proud C.G. Amino acids and mTOR signaling. Biochem Soc Trans 2007, 35:1187-1190.
2. Hardie D.G. AMP-activated protein kinase-an energy sensor that regulates all aspects of cell function. Genes Dev 2011, 25:1895-1908.
3. Gonzalez-Leal I.J., Carrillo-Cocom L.M., Ramirez-Medrano A., Lopez-Pacheco F., Bulnes-Abundis D., Webb-Vargas Y., Alvarez M.M. Use of a Plackett-Burnham statistical design to determine the effect of selected amino acids on monoclonal antibody production in CHO cells. Biotechnol Prog 2011, 27:1709-1717.
4. Gilbert A., McElearney K., Kshisagar R., Sinacore M.S., Ryll T. Investigation of metabolic variability observed in extended fed batch culture. Biotechnol Prog 2013, 29:1519-1527.
5. Young J. Curr Opin Biotechnol 2014, (in preparation).
6. Sellick C.A., Croxford A.S., Maqsood A.R., Stephens G.M., Westerhoff H.V., Goodacre R., Dickson A.J. Metabolite profiling of recombinant CHO cells: designing tailored feeding regimes that enhance recombinant antibody production. Biotechnol Bioeng 2011, 108:3025-3031.
7. Sellick C.A., Hansen R., Maqsood A.R., Dunn W.B., Stephens G.M., Goodacre R., Dickson A.J. Effective quenching processes for physiologically valid metabolite profiling of suspension cultured mammalian cells. Anal Chem 2009, 81:174-183.
8. Sellick C.A., Knight D., Croxford A.S., Maqsood A.R., Stephens G.M., Goodacre R., Dickson A.J. Evaluation of extraction processes for intracellular metabolite profiling of mammalian cells: matching extraction processes to cell type and metabolite targets. Metabolomics 2010, 6:427-438.
9. Dietmar S., Timmins N.E., Gray P.P., Nielsen L.K., Kromer J.O. Towards quantitative metabolomics of mammalian cells: development of a metabolite extraction protocol. Anal Biochem 2010, 404:155-164.
10. Volmer M., Horthoff S., Scholz S., Thute T., Buntemeyer H., Noll T. Fast filtration for metabolome sampling of suspended animal cells. Biotechnol Lett 2011, 33:495-502.
11. Martineau E., Tea I., Loaec G., Giraudeau P., Akoka S. Strategy for choosing extraction procedures for NMR-based metabolomic analysis of mammalian cells. Anal Bioanal Chem 2011, 401:2133-2142.
12. Kronthaler J., Gstraunthaler G., Heel C. Optimising high-throughput metabolomic biomarker screening: a study of quenching solutions to freeze intracellular metabolism in CHO cells. OMICS 2012, 16:90-97.
13. Tran T.T.B., Dietmair S., Chan L.C.L., Huynh H.T., Nielsen L.K., Reid S. Development of quenching and washing protocols for quantitative intracellular metabolite analysis of uninfected and baculovirus-infected insect cells. Methods 2012, 56:396-407.
14. Hutschenreuther A., Kiontke A., Birkenmeier G., Birkenmeier C. Comparison of extraction conditions and normalisation approaches for cellular metabolomics of adherent growing cells with GC-MS. Anal Methods 2012, 4:1953-1963.
15. Bi H.C., Krausz S.K., Li F., Johnson C.H., Gonzalez F.J. Optimisation of harvesting, extraction and analytical protocols for UPLC-ESI-MS-based metabolomic analysis of adherent mammalian cancer cell lines. Anal Bioanal Chem 2013, 405:5279-5289.
16. Teo C.C., Chong W.P.K., Ho Y.S. Development and application of microwave-assisted extraction technique in biological sample preparation for small molecule analysis. Metabolomics 2013, 9:1109-1128.
17. del Val I.J., Kyriakopoulos S., Polizzi K.M., Kontoravdi C. Optimised method for extraction and quantification of nucleotides and nucleotide sugars from mammalian cells. Anal Biochem 2013, 443:172-180.
18. Hernandez Bort J.A., Shanmukam V., Pabst M., Winwarder M., MNeumann L., Alchalabi A., Krebiehl G., Koellensperger G., Hann S., Sonntag D., Altmann F., Heel C., Borth N. Reduced quenching and extraction time for mammalian cells using filtration and syringe extraction. J Biotechnol 2014, 10.1016/j.jbiotec.2014.04.014.
19. Zhang A.H., Sun H., Wang P., Han Y., Wang X.J. Modern analytical techniques in metabolomics analysis. Analyst 2012, 137:293-300.
20. Aranibar N., Borys M., Mackin N.A., Ly V., Abu-Absi N., Abu-Absi S., Niemitz M., Schilling B., Li Z.J., Brock B., Russell R.J., Tymiak A., Reilly M.D. NMR-based metabolomics of mammalian cell and tissue cultures. J Biomol NMR 2011, 49:195-206.
21. Halket J., Waterman D., Przyborowska A., Patel R., Fraser P., Bramley P. Chemical derivatization and mass spectral libraries in metabolic profiling by GC/MS and LC/MS/MS. J Exp Bot 2005, 56:219-243.
22. Eliasson M., Rannar S., Trygg J. From data processing to multivariate validation-essential steps in extracting interpretable information from metabolomics data. Curr Pharm Biotechnol 2011, 12:996-1004.
23. Wahrheit J., Nicolae A., Heinzle E. Eukaryotic metabolism: measuring compartment fluxes. Biotechnol J 2011, 6:1071-1085.
24. Mueller D., Heinzle E. Stable isotope-assisted metabolomics to detect metabolic flux changes in mammalian cell cultures. Curr Opin Biotechnol 2013, 24:54-59.
25. Sengupta S., Rose S.T., Morgan J.A. Metabolic flux analysis of CHO cell metabolism in the late non-growth phase. Biotechnol Bioeng 2011, 108:82-92.
26. Ahn W.S., Antoniewicz M.R. Metabolic flux analysis of CHO cells at growth and non-growth phases using isotope tracers and mass spectrometry. Metab Eng 2011, 13:598-609.
27. 13C] glutamine provide new insights into CHO cell metabolism. Metab Eng 2013, 15:34-47.
28. Carinhas N., Duarte T.M., Barreiro L.C., Carrondo M.J.T., Alves P.M., Teixeira A.P. Metabolic signatures of GS-CHO cell clones associated with butyrate treatment and culture phase transition. Biotechnol Bioeng 2013, 110:3244-3257.
29. Wagstaff J.L., Masterton R.J., Povey J.F., Smales C.M., Howard M.J. Metabolic reprogramming of Chinese Hamster ovary cells upon a temperature shift during culture. PLOS ONE 2013, 8:e77195.
30. Abu-Absi N.R., Kenty B.M., Ehly Cuellar M., Borys M.C., Sakhamuri S., Starchan D.J., Hausladen M.C., Li Z.J. Real time monitoring of multiple parameters in mammalian cell culture bioreactors using an in-line Raman spectroscopy probe. Biotechnol Bioeng 2011, 108:1215-1221.
31. Whelan J., Craven S., Glennon B. In situ Raman spectroscopy for simultaneous monitoring of multiple process parameters in mammalian cell culture bioreactors. Biotechnol Prog 2012, 28:1355-1362.
32. Teixeira A.P., Duarte T.M., Carrondo M.J.T., Alves P.M. Synchronous fluorescence spectroscopy as a novel tool to enable PAT applications in bioprocesses. Biotechnol Bioeng 2011, 108:1852-1861.
33. Milligan M., Lewin-Koh N., Coleman D., Arroyo A., Saucedo V. Semisynthetic model calibration for monitoring glucose in mammalian cell culture with in situ near infrared spectroscopy. Biotechnol Bioeng 2014, 111:898-903.
34. Behjousiar A., Kontoravdi C., Polizzi K.M. In situ monitoring of intracellular glucose and glutamine in CHO cell culture. PLOS ONE 2012, 7:e34512.
35. Wurm F.M. Production of recombinant protein therapeutics in cultivated mammalian cells. Nat Biotechnol 2004, 22:1393-1398.
36. Walsh G. Biopharmaceutical benchmarks 2010. Nat Biotechnol 2010, 28:917-924.
37. Okura H., Mihara H., Takahashi T. Construction of proteins with molecular recognition capabilities using 33 de novo protein scaffolds. Prot Eng Des Select 2013, 26:705-711.
38. Burleigh S.C., van de Laar T., Stroop C.J.M., van Grunsven W.M.J., O'Donoghue N., Rudd P.M., Davey G.P. Synergizing metabolic flux analysis and nucleotide sugar metabolism to understand the control of glycosylation of recombinant protein in CHO cells. BMC Biotechnol 2011, 11:95.
39. Jedrzejewski P.M., del Val I.J., Constantinou A., Dell A., Haslam S.M., Polizzi K.M., Kontoravdi C. Towards controlling the glycoform: a model framework linking extracellular metabolites to antibody glycosylation. Int J Mol Sci 2014, 15:4492-4522.
40. Luo J., Vijayasankaran N., Austen J., Santury R., Hudson T., Amanullah A., Li F. Comparative metabolite analysis to understand lactate metabolism shift in Chinese Hamster ovary cell culture process. Biotechnol Bioeng 2012, 109:146-156.
41. Templeton N., Dean J., Reddy P., Young J.D. Peak antibody production is associated with increased oxidative metabolism in an industrially-relevant fed-batch CHO cell culture. Biotechnol Bioeng 2013, 110:2013-2024.
42. Selvarasu S., Ho Y.S., Chong W.P.K., Wong N.S.C., Yusufi F.N.K., Lee Y.Y., Yap M.G.S., Lee D.-Y. Combined in silico modeling and metabolomics analysis to characterise fed-batch CHO cell culture. Biotechnol Bioeng 2012, 109:1415-1429.
43. Martinez V.S., Dietmair S., Quek L.-E., Hodson M.P., Gray P., Nielsen L.K. Flux balance analysis of CHO cells before and after a metabolic switch from lactate production to consumption. Biotechnol Bioeng 2012, 110:660-666.
44. Sheikholesami Z., Jolicoeur M., Henry O. Probing the metabolism of an inducible mammalian expression system using extracellular isotopomer analysis. J Biotechnol 2013, 164:469-478.
45. Dietmair S., Hodson M.P., Quek L.-E., Timmins N.K., Chrysanthopoulos P., Jacob S.S., Gray P., Nielsen L.K. Metabolite profiling of CHO cells with different growth characteristics. Biotechnol Bioeng 2012, 109:1404-1414.
46. Chong W.P.K., Thng S.H., Hiu A.P., Lee D.-Y., Chan E.C.Y., Ho Y.S. LC-MS-based metabolic characterisation of high monoclonal antibody-producing Chinese Hamster ovary cells. Biotechnol Bioeng 2012, 109:3103-3111.
47. Dean J., Reddy P. Metabolic analysis of antibody producing CHO cells in fed-batch production. Biotechnol Bioeng 2013, 110:1735-1747.
48. Chong W.P.K., Reddy S.G., Yusufi F.N.K., Lee D.Y., Wong N.S.C., Heng C.K., Yap M.G.S., Ho Y.S. Metabolomics-driven approach for the improvement of Chinese Hamster ovary cell growth: overexpression of malate dehydrogenase II. J Biotechnol 2010, 147:116-121.
49. Henry O., Durocher Y. Enhanced glycoprotein production in HEK-293 cells expressing pyruvate carboxylase. Metab Eng 2011, 13:499-507.
50. Faustrup-Kildegaard H., Baycin-Hizal D., Lewis N.E., Betenbaugh M.J. The emerging CHO systems biology era: harnessing the 'omics revolution for biotechnology. Curr Opin Biotechnol 2013, 24:1102-1107.
51. Shalek A.K., Satija R., Adiconis X., Gertner R.S., Gaublomme J.T., Raychowdhury R., Schwartz S., Yosef N., Malboeuf C., Lu D., Trombetta J.J., Gennert D., Gnirke A., Goren A., Hacohen A., Levin J.Z., Park H., Regev A. Single cell transcriptomics reveals bimodality in expression and splicing in immune cells. Nature 2013, 498:236-240.
52. Zenobi R. Single cell metabolomics: analytical and biological perspectives. Science 2013, 342:1201-1211.