Published October 5, 2015
| Version v1
Journal article
Open
Optimizing Production of Antigens and Fabs in the Context of Generating Recombinant Antibodies to Human Proteins
Creators
- Zhong, Nan1
- Loppnau, Peter1
- Seitova, Alma1
- Ravichandran, Mani1
- Fenner, Maria1
- Jain, Harshika1
- Bhattacharya, Anandi1
- Hutchinson, Ashley1
- Paduch, Marcin2
- Lu, Vincent2
- Olszewski, Michal2
- Kossiakoff, Anthony A.2
- Dowdell, Evan2
- Koide, Akiko2
- Koide, Shohei2
- Huang, Haiming1
- Nadeem, Vincent1
- Sidhu, Sachdev S.1
- Greenblatt, Jack F.1
- Marcon, Edyta1
- Arrowsmith, Cheryl H.1
- Edwards, Aled M.1
- Gräslund, Susanne1
- 1. University of Toronto
- 2. University of Chicago
Description
We developed and optimized a high-throughput project workflow to generate renewable recombinant antibodies to human proteins involved in epigenetic signalling. Three different strategies to produce phage display compatible protein antigens in bacterial systems were compared, and we found that in vivo biotinylation through the use of an Avi tag was the most productive method. Phage display selections were performed on 265 in vivo biotinylated antigen domains. High-affinity Fabs (<20nM) were obtained for 196. We constructed and optimized a new expression vector to produce in vivo biotinylated Fabs in E. coli. This increased average yields up to 10-fold, with an average yield of 4 mg/L. For 118 antigens, we identified Fabs that could immunoprecipitate their full-length endogenous targets from mammalian cell lysates. One Fab for each antigen was converted to a recombinant IgG and produced in mammalian cells, with an average yield of 15 mg/L. In summary, we have optimized each step of the pipeline to produce recombinant antibodies, significantly increasing both efficiency and yield, and also showed that these Fabs and IgGs can be generally useful for chromatin immunoprecipitation (ChIP) protocols.
Data availability
All relevant data are within the paper and its Supporting Information files, but additional information can be found at the Structural Genomics Consortium website: www.thesgc.org.
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journal.pone.0139695.pdf
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Additional details
Identifiers
- DOI
- 10.1371/journal.pone.0139695
- Other
- oai:uchicago.tind.io:7575
Funding
- AbbVie (United States)
- Bayer Pharma AG
- Boehringer Ingelheim
- Canada Foundation for Innovation
- Genome Canada
- GlaxoSmithKline
- Innovative Medicines Initiative
- Janssen
- Eli Lilly (Canada)
- Merck & Co., Inc., Rahway, NJ, USA (United States)
- Novartis Foundation
- Ontario Ministry of Economic Development and Innovation
- Pfizer
- São Paulo Research Foundation
- Takeda
- Wellcome Trust
- National Institute of General Medical Sciences
- GM072688
- National Institute of General Medical Sciences
- GM094588
- National Institutes of Health
- Common Fund
- Canadian Institutes of Health Research
- MOP-136944