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Assessment of a method to characterize antibody selectivity and specificity for use in immunoprecipitation

Authors :
Jack Greenblatt
Zhen Yuan Lin
Harshika Jain
Ashley Hutchinson
Bryan Krastins
Mani Ravichandran
Anandi Bhattacharya
Lei Zhao
Alma Seitova
Tin Nguyen
Susanne Gräslund
Marcin Paduch
Anne-Claude Gingras
Gregory Byram
Cheryl H. Arrowsmith
Jeffrey R. Whiteaker
Ruedi Aebersold
Xinghua Guo
Maryann Vogelsang
Evan Dowdell
Aled M. Edwards
Ben C. Collins
Peter Loppnau
Gouri Vadali
Andrew Emili
Sadhna Phanse
Shuye Pu
Nan Zhong
Matthias Gstaiger
Hongbo Guo
Sachdev S. Sidhu
Amanda G. Paulovich
Brett Larsen
Lori Frappier
Jonathan B. Olsen
Shohei Koide
Edyta Marcon
Maria Fenner
Guoqing Zhong
Shane Miersch
Mary F. Lopez
Shoshana J. Wodak
Anthony A. Kossiakoff
Jacob J. Kennedy
Source :
Nature Methods. 12:725-731
Publication Year :
2015
Publisher :
Springer Science and Business Media LLC, 2015.

Abstract

Antibodies are used in multiple cell biology applications, but there are no standardized methods to assess antibody quality-an absence that risks data integrity and reproducibility. We describe a mass spectrometry-based standard operating procedure for scoring immunoprecipitation antibody quality. We quantified the abundance of all the proteins in immunoprecipitates of 1,124 new recombinant antibodies for 152 chromatin-related human proteins by comparing normalized spectral abundance factors from the target antigen with those of all other proteins. We validated the performance of the standard operating procedure in blinded studies in five independent laboratories. Antibodies for which the target antigen or a member of its known protein complex was the most abundant protein were classified as 'IP gold standard'. This method generates quantitative outputs that can be stored and archived in public databases, and it represents a step toward a platform for community benchmarking of antibody quality.

Details

ISSN :
15487105 and 15487091
Volume :
12
Database :
OpenAIRE
Journal :
Nature Methods
Accession number :
edsair.doi.dedup.....6330746f301feae2a929b19e6632b8ea
Full Text :
https://doi.org/10.1038/nmeth.3472