Abbreviations
- AP:
-
Assay plate
- CFR:
-
Code of Federal Regulations
- CO2 :
-
Carbon dioxide
- cGMP:
-
Current good manufacturing practice
- DOE:
-
Design of experiment
- ELISA:
-
Enzyme-linked immunosorbent assay
- IQ:
-
Installation qualification
- IT:
-
Information technology
- LBA:
-
Ligand binding assay
- LIMS:
-
Laboratory information management systems
- OQ:
-
Operational qualification
- PK:
-
Pharmacokinetics
- PQ:
-
Performance qualification
- QC:
-
Quality control
- RFID:
-
Radio frequency identification
- SBS:
-
Society for Biological Science
- USB:
-
Universal Serial Bus
References
Morrow C. Application of automation in ligand binding assays. In: Khan MN, Findlay JW, editors. Ligand binding assays: development, validation and implementation in the drug development arena. 2010. p. 287–326.
Universal Serial Bus Specification Revision 2.0 April 27, 2000. Compaq, Hewlett-Packard, Intel, Lucent, Microsoft, NEC, Philips.
Universal Serial Bus Implementers Forum, Inc. http://www.usb.org/about.
Society for Biomolecular Sciences. Published Microplate Standards. ANSI/SBS 4-2004: Microplates Well Positions. Jan 9, 2004. http://www.sbsonline.org/i4a/pages/index.cfm?pageID=3598.
Clinical Laboratory Improvement Amendments Act (CLIA) 42 CFR Part 493 (2004 Codification).
Good Laboratory Practice Regulations (GLP) 21 CFR Part 58.
Current Code of Good Manufacturing Practice 21 CFR Part 110.
Food and Drug Administration Electronic Records, Electronic Signatures 21 CFR Part 11.
DeSilva B, Smith W, Weiner R, Kelley M, Smolec J, Lee B, et al. Recommendations for the bioanalytical method validation of ligand-binding assays to support pharmacokinetic assessments of macromolecules. Pharm Res. 2003;20(11):1885–900.
Pandya K, Ray C, Brunner L, Wang J, Lee J, DeSilva B. Strategies to minimize variability and bias associated with manual pipetting in ligand binding assays to assure data quality of protein therapeutic quantification. J Pharm Biomed Anal. 2010;53(3):623–30.
Ray C, Patel V, Shih J, Macaraeg C, Wu Y, Thway T, et al. Application of multi-factorial design of experiments to successfully optimize immunoassays for robust measurements of therapeutic proteins. J Pharm Biomed Anal. 2009;49:311–8.
Joelsson D, Moravec P, Troutman M, Pigeon J, DePhillips P. Optimizing ELISAs for precision and robustness using laboratory automation and statistical design of experiments. J Immunol Methods. 2008;337:35–41.
Sittampalam GS, Smith WC, Miyakawa TW, Smith DR, McMorris C. Application of experimental design techniques to optimize a competitive ELISA. J Immunol Methods. 1996;190:151–61.
United States Department of Labor OSHA Occupational Safety and Health Standard, 29 CFR Part 1910.
Cacace A, Banks M, Spicer T, Civoli F, Watson J. An ultra HTS process for the identification of small molecule modulators of orphan G protein-coupled receptors. Drug Discov Today. 2003;8(17):785–92.
Webster GK, Kott L, Maloney TD. Considerations when implementing automated methods into GxP laboratories. JALA. 2005;10:182–91.
Author information
Authors and Affiliations
Corresponding author
Additional information
Guest Editors: William Nowatzke, Ago Ahene, and Chad Ray
Rights and permissions
About this article
Cite this article
Ahene, A.B., Morrow, C., Rusnak, D. et al. Ligand Binding Assays in the 21st Century Laboratory: Automation. AAPS J 14, 142–153 (2012). https://doi.org/10.1208/s12248-012-9323-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1208/s12248-012-9323-z