A global benchmark study using affinity-based biosensors
- Creators
- Rich, Rebecca L.
- Papalia, Giuseppe A.
- Flynn, Peter J.
- Furneisen, Jamie
- Quinn, John
- Klein, Joshua S.
- Katsamba, Phini S.
- Waddell, M. Brent
- Scott, Michael
- Thompson, Joshua
- Berlier, Judie
- Corry, Schuyler
- Baltzinger, Mireille
- Zeder-Lutz, Gabrielle
- Schoenemann, Andreas
- Clabbers, Anca
- Wieckowski, Sebastien
- Murphy, Mary M.
- Page, Phillip
- Ryan, Thomas E.
- Duffner, Jay
- Ganguly, Tanmoy
- Corbin, John
- Gautam, Satyen
- Anderluh, Gregor
- Bavdek, Andrej
- Reichmann, Dana
- Yadav, Satya P.
- Hommema, Eric
- Pol, Ewa
- Drake, Andrew
- Klakamp, Scott
- Chapman, Trevor
- Kernaghan, Dawn
- Miller, Ken
- Schuman, Jason
- Lindquist, Kevin
- Herlihy, Kara
- Murphy, Michael B.
- Bohnsack, Richard
- Andrien, Bruce
- Brandani, Pietro
- Terwey, Danny
- Millican, Rohn
- Darling, Ryan J.
- Wangae, Liann
- Carter, Quincy
- Dotzlaf, Joe
- Lopez-Sagaseta, Jacinto
- Campbell, Islay
- Torreri, Paola
- Hoos, Sylviane
- England, Patrick
- Liu, Yang
- Abdiche, Yasmina
- Malashock, Daniel
- Pinkerton, Alanna
- Wong, Melanie
- Lafer, Eileen
- Hinck, Cynthia
- Thompson, Kevin
- Di Primo, Carmelo
- Joyce, Alison
- Brooks, Jonathan
- Torta, Federico
- Bagge Hagel, Anne Birgitte
- Krarup, Janus
- Pass, Jesper
- Ferreira, Monica
- Shikov, Sergei
- Mikolajczyk, Malgorzata
- Abe, Yuki
- Barbato, Gaetano
- Giannetti, Anthony M.
- Krishnamoorthy, Ganeshram
- Beusink, Bianca
- Satpaev, Daulet
- Tsang, Tiffany
- Fang, Eric
- Partridge, James
- Brohawn, Stephen
- Horn, James
- Pritsch, Otto
- Obal, Gonzalo
- Nilapwar, Sanjay
- Busby, Ben
- Gutierrez-Sanchez, Gerardo
- Das Gupta, Ruchira
- Canepa, Sylvie
- Witte, Krista
- Nikolovska-Coleska, Zaneta
- Cho, Yun Hee
- D'Agata, Roberta
- Schlick, Kristian
- Calvert, Rosy
- Munoz, Eva M.
- Hernaiz, Maria Jose
- Bravman, Tsafir
- Dines, Monica
- Yang, Min-Hsiang
- Puskas, Agnes
- Boni, Erica
- Li, Jiejin
- Wear, Martin
- Grinberg, Asya
- Baardsnes, Jason
- Dolezal, Olan
- Gainey, Melicia
- Anderson, Henrik
- Peng, Jinlin
- Lewis, Mark
- Spies, Peter
- Trinh, Quyhn
- Bibikov, Sergei
- Raymond, Jill
- Yousef, Mohammed
- Chandrasekaran, Vidya
- Feng, Yuguo
- Emerick, Anne
- Mundodo, Suparna
- Guimaraes, Rejane
- McGirr, Katy
- Li, Yue-Ji
- Hughes, Heather
- Mantz, Hubert
- Skrabana, Rostislav
- Witmer, Mark
- Ballard, Joshua
- Martin, Loic
- Skladal, Petr
- Korza, George
- Laird-Offringa, Ite
- Lee, Charlene S.
- Khadir, Abdelkrim
- Podlaski, Frank
- Neuner, Phillippe
- Rothacker, Julie
- Rafique, Ashique
- Dankbar, Nico
- Kainz, Peter
- Gedig, Erk
- Vuyisich, Momchilo
- Boozer, Christina
- Ly, Nguyen
- Toews, Mark
- Uren, Aykut
- Kalyuzhniy, Oleksandr
- Lewis, Kenneth
- Chomey, Eugene
- Pak, Brian J.
- Myszka, David G.
Abstract
To explore the variability in biosensor studies, 150 participants from 20 countries were given the same protein samples and asked to determine kinetic rate constants for the interaction. We chose a protein system that was amenable to analysis using different biosensor platforms as well as by users of different expertise levels. The two proteins (a 50-kDa Fab and a 60-kDa glutathione S-transferase [GST] antigen) form a relatively high-affinity complex, so participants needed to optimize several experimental parameters, including ligand immobilization and regeneration conditions as well as analyte concentrations and injection/dissociation times. Although most participants collected binding responses that could be fit to yield kinetic parameters, the quality of a few data sets could have been improved by optimizing the assay design. Once these outliers were removed, the average reported affinity across the remaining panel of participants was 620 pM with a standard deviation of 980 pM. These results demonstrate that when this biosensor assay was designed and executed appropriately, the reported rate constants were consistent, and independent of which protein was immobilized and which biosensor was used.
Additional Information
© 2009 Elsevier B.V. Received 3 October 2008. Available online 27 November 2008. We thank KaloBios Pharmaceuticals for providing the purified Fab and GST–Ag, Biacore/GE Healthcare for providing sensor chips to help develop this model system, and Bio-Rad Laboratories for shipping all of the sample sets worldwide.Attached Files
Accepted Version - nihms500790.pdf
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Additional details
- PMCID
- PMC3793259
- Eprint ID
- 15514
- DOI
- 10.1016/j.ab.2008.11.021
- Resolver ID
- CaltechAUTHORS:20090901-094826364
- Created
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2009-09-14Created from EPrint's datestamp field
- Updated
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2023-03-16Created from EPrint's last_modified field