Loss of antibody productivity is highly reproducible in multiple hybridoma subclones
dc.contributor.author | Merritt, Steven E. | en_US |
dc.contributor.author | Palsson, Bernhard Ø | en_US |
dc.date.accessioned | 2006-04-28T16:31:23Z | |
dc.date.available | 2006-04-28T16:31:23Z | |
dc.date.issued | 1993-06-20 | en_US |
dc.identifier.citation | Merritt, Steven E.; Palsson, Bernhard O. (1993)."Loss of antibody productivity is highly reproducible in multiple hybridoma subclones." Biotechnology and Bioengineering 42(2): 247-250. <http://hdl.handle.net/2027.42/37925> | en_US |
dc.identifier.issn | 0006-3592 | en_US |
dc.identifier.issn | 1097-0290 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/37925 | |
dc.identifier.uri | http://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=18612986&dopt=citation | en_US |
dc.description.abstract | An immunoglobulin G (IgG 2b ) producing hybridoma cell line (S3H5/Γ2bA2) was cloned and subcloned. Twenty subclones were grown in parallel while being adapted in a stepwise fashion to serum-free medium. Following adaptation to serum-free medium, it was found that 16 of the 20 subclones remained at a relatively constant proportion of nonproducing cells. Three of the remaining subclones transiently deviated from this balance but eventually returned toward this population composition. One subclone continued to lose productivity. A population balance was reached at approximately 8% of the population being nonproducers. The loss of antibody productivity was thus highly reproducible. © 1993 John Wiley & Sons, Inc. | en_US |
dc.format.extent | 296712 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Wiley Subscription Services, Inc., A Wiley Company | en_US |
dc.subject.other | Chemistry | en_US |
dc.subject.other | Biochemistry and Biotechnology | en_US |
dc.title | Loss of antibody productivity is highly reproducible in multiple hybridoma subclones | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Biological Chemistry | en_US |
dc.subject.hlbsecondlevel | Ecology and Evolutionary Biology | en_US |
dc.subject.hlbsecondlevel | Mathematics | en_US |
dc.subject.hlbsecondlevel | Natural Resources and Environment | en_US |
dc.subject.hlbsecondlevel | Statistics and Numeric Data | en_US |
dc.subject.hlbsecondlevel | Public Health | en_US |
dc.subject.hlbtoplevel | Health Sciences | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Cellular Biotechnology Laboratory, Department of Chemical Engineering, The University of Michigan, Ann Arbor, Michigan 48109 | en_US |
dc.contributor.affiliationum | Cellular Biotechnology Laboratory, Department of Chemical Engineering, The University of Michigan, Ann Arbor, Michigan 48109 ; Cellular Biotechnology Laboratory, Department of Chemical Engineering, The University of Michigan, Ann Arbor, Michigan 48109 | en_US |
dc.identifier.pmid | 18612986 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/37925/1/260420213_ftp.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1002/bit.260420213 | en_US |
dc.identifier.source | Biotechnology and Bioengineering | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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