579 related articles for article (PubMed ID: 26212696)
1. A global RNA-seq-driven analysis of CHO host and production cell lines reveals distinct differential expression patterns of genes contributing to recombinant antibody glycosylation.
Könitzer JD; Müller MM; Leparc G; Pauers M; Bechmann J; Schulz P; Schaub J; Enenkel B; Hildebrandt T; Hampel M; Tolstrup AB
Biotechnol J; 2015 Sep; 10(9):1412-23. PubMed ID: 26212696
[TBL] [Abstract][Full Text] [Related]
2. Optimized Selection Marker and CHO Host Cell Combinations for Generating High Monoclonal Antibody Producing Cell Lines.
Yeo JHM; Ho SCL; Mariati M; Koh E; Tay SJ; Woen S; Zhang P; Yang Y
Biotechnol J; 2017 Dec; 12(12):. PubMed ID: 29090854
[TBL] [Abstract][Full Text] [Related]
3. miRNA profiling of high, low and non-producing CHO cells during biphasic fed-batch cultivation reveals process relevant targets for host cell engineering.
Stiefel F; Fischer S; Sczyrba A; Otte K; Hesse F
J Biotechnol; 2016 May; 225():31-43. PubMed ID: 27002234
[TBL] [Abstract][Full Text] [Related]
4. An automated RNA-Seq analysis pipeline to identify and visualize differentially expressed genes and pathways in CHO cells.
Chen C; Le H; Goudar CT
Biotechnol Prog; 2015; 31(5):1150-62. PubMed ID: 26150012
[TBL] [Abstract][Full Text] [Related]
5. CHO cell line specific prediction and control of recombinant monoclonal antibody N-glycosylation.
Grainger RK; James DC
Biotechnol Bioeng; 2013 Nov; 110(11):2970-83. PubMed ID: 23737295
[TBL] [Abstract][Full Text] [Related]
6. Identifying low-level sequence variants via next generation sequencing to aid stable CHO cell line screening.
Zhang S; Bartkowiak L; Nabiswa B; Mishra P; Fann J; Ouellette D; Correia I; Regier D; Liu J
Biotechnol Prog; 2015; 31(4):1077-85. PubMed ID: 26033952
[TBL] [Abstract][Full Text] [Related]
7. A Bioinformatics Pipeline for the Identification of CHO Cell Differential Gene Expression from RNA-Seq Data.
Monger C; Motheramgari K; McSharry J; Barron N; Clarke C
Methods Mol Biol; 2017; 1603():169-186. PubMed ID: 28493130
[TBL] [Abstract][Full Text] [Related]
8. Diversity in host clone performance within a Chinese hamster ovary cell line.
O'Callaghan PM; Berthelot ME; Young RJ; Graham JW; Racher AJ; Aldana D
Biotechnol Prog; 2015; 31(5):1187-200. PubMed ID: 25918883
[TBL] [Abstract][Full Text] [Related]
9. A high-yielding CHO transient system: coexpression of genes encoding EBNA-1 and GS enhances transient protein expression.
Daramola O; Stevenson J; Dean G; Hatton D; Pettman G; Holmes W; Field R
Biotechnol Prog; 2014; 30(1):132-41. PubMed ID: 24106171
[TBL] [Abstract][Full Text] [Related]
10. Highly efficient deletion of FUT8 in CHO cell lines using zinc-finger nucleases yields cells that produce completely nonfucosylated antibodies.
Malphettes L; Freyvert Y; Chang J; Liu PQ; Chan E; Miller JC; Zhou Z; Nguyen T; Tsai C; Snowden AW; Collingwood TN; Gregory PD; Cost GJ
Biotechnol Bioeng; 2010 Aug; 106(5):774-83. PubMed ID: 20564614
[TBL] [Abstract][Full Text] [Related]
11. Cell line profiling to improve monoclonal antibody production.
Kang S; Ren D; Xiao G; Daris K; Buck L; Enyenihi AA; Zubarev R; Bondarenko PV; Deshpande R
Biotechnol Bioeng; 2014 Apr; 111(4):748-60. PubMed ID: 24249214
[TBL] [Abstract][Full Text] [Related]
12. Enhancing recombinant glycoprotein sialylation through CMP-sialic acid transporter over expression in Chinese hamster ovary cells.
Wong NS; Yap MG; Wang DI
Biotechnol Bioeng; 2006 Apr; 93(5):1005-16. PubMed ID: 16432895
[TBL] [Abstract][Full Text] [Related]
13. Multi-omics profiling of CHO parental hosts reveals cell line-specific variations in bioprocessing traits.
Lakshmanan M; Kok YJ; Lee AP; Kyriakopoulos S; Lim HL; Teo G; Poh SL; Tang WQ; Hong J; Tan AH; Bi X; Ho YS; Zhang P; Ng SK; Lee DY
Biotechnol Bioeng; 2019 Sep; 116(9):2117-2129. PubMed ID: 31066037
[TBL] [Abstract][Full Text] [Related]
14. Bioprocessing of Recombinant CHO-K1, CHO-DG44, and CHO-S: CHO Expression Hosts Favor Either mAb Production or Biomass Synthesis.
Reinhart D; Damjanovic L; Kaisermayer C; Sommeregger W; Gili A; Gasselhuber B; Castan A; Mayrhofer P; Grünwald-Gruber C; Kunert R
Biotechnol J; 2019 Mar; 14(3):e1700686. PubMed ID: 29701329
[TBL] [Abstract][Full Text] [Related]
15. Impact of cell culture media additives on IgG glycosylation produced in Chinese hamster ovary cells.
Ehret J; Zimmermann M; Eichhorn T; Zimmer A
Biotechnol Bioeng; 2019 Apr; 116(4):816-830. PubMed ID: 30552760
[TBL] [Abstract][Full Text] [Related]
16. Characterization of cellular states of CHO-K1 suspension cell culture through cell cycle and RNA-sequencing profiling.
Tossolini I; López-Díaz FJ; Kratje R; Prieto CC
J Biotechnol; 2018 Nov; 286():56-67. PubMed ID: 30243609
[TBL] [Abstract][Full Text] [Related]
17. How does mild hypothermia affect monoclonal antibody glycosylation?
Sou SN; Sellick C; Lee K; Mason A; Kyriakopoulos S; Polizzi KM; Kontoravdi C
Biotechnol Bioeng; 2015 Jun; 112(6):1165-76. PubMed ID: 25545631
[TBL] [Abstract][Full Text] [Related]
18. Chinese hamster ovary (CHO) host cell engineering to increase sialylation of recombinant therapeutic proteins by modulating sialyltransferase expression.
Lin N; Mascarenhas J; Sealover NR; George HJ; Brooks J; Kayser KJ; Gau B; Yasa I; Azadi P; Archer-Hartmann S
Biotechnol Prog; 2015; 31(2):334-46. PubMed ID: 25641927
[TBL] [Abstract][Full Text] [Related]
19. Profiling of N-glycosylation gene expression in CHO cell fed-batch cultures.
Wong DC; Wong NS; Goh JS; May LM; Yap MG
Biotechnol Bioeng; 2010 Oct; 107(3):516-28. PubMed ID: 20521304
[TBL] [Abstract][Full Text] [Related]
20. Auditioning of CHO host cell lines using the artificial chromosome expression (ACE) technology.
Kennard ML; Goosney DL; Monteith D; Roe S; Fischer D; Mott J
Biotechnol Bioeng; 2009 Oct; 104(3):526-39. PubMed ID: 19544304
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]