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A toolbox of immunoprecipitation-grade monoclonal antibodies to human transcription factors

Authors :
Leonardo Ramos
Kimberly Ruiz
Anand Venkataraman
Keven Murphy
Jessica E. McDade
Atul Tandon
Lizhi Jiang
Christian Rosa
Edisa Albino
Luvir Lugo
Mark Mackiewicz
Sarah Keegan
Shaohui Hu
Kun Yang
Gordon Whiteley
Devlina Ghosh
Jimmy de Melo
Daniel Eichinger
Stephen Anderson
Ivan Vargas
Richard G. Saul
Diane Bayron Kain
Zully Ann Rivera-Pacheco
Lin Xue
Guang Song
Gloriner Morell
Gaetano T. Montelione
Pedro Ramos
Brittany Jones
Shuang Liu
Zheng Kuang
Florencia Pauli-Behn
Richard M. Myers
Wendy Y. Yap
Seth Blackshaw
Simona Colantonio
Seva G. Khambadkone
Lillyann Asencio
Luis Nazario
Heng Zhu
David Fenyƶ
Ignacio Pino
Joel S. Bader
Milanka Stevanovic
Jose Irizarry
Sooyeon Yoo
Jef D. Boeke
Elliot Campbell
Ruth Almodovar
Yana Li
Hongyan Zhang
Javier Rivera
Paolo Mita
Brian S. Clark
Moises Vargas
Source :
Nature methods. 15(5)
Publication Year :
2017

Abstract

A key component of efforts to address the reproducibility crisis in biomedical research is the development of rigorously validated and renewable protein-affinity reagents. As part of the US National Institutes of Health (NIH) Protein Capture Reagents Program (PCRP), we have generated a collection of 1,406 highly validated immunoprecipitation- and/or immunoblotting-grade mouse monoclonal antibodies (mAbs) to 737 human transcription factors, using an integrated production and validation pipeline. We used HuProt human protein microarrays as a primary validation tool to identify mAbs with high specificity for their cognate targets. We further validated PCRP mAbs by means of multiple experimental applications, including immunoprecipitation, immunoblotting, chromatin immunoprecipitation followed by sequencing (ChIP-seq), and immunohistochemistry. We also conducted a meta-analysis that identified critical variables that contribute to the generation of high-quality mAbs. All validation data, protocols, and links to PCRP mAb suppliers are available at http://proteincapture.org.

Details

ISSN :
15487105
Volume :
15
Issue :
5
Database :
OpenAIRE
Journal :
Nature methods
Accession number :
edsair.doi.dedup.....a473f627c1cb37a6c5a79b01507f4380