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A consensus platform for antibody characterization

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posted on 2025-02-06, 09:53 authored by Riham Ayoubi, Joel Ryan, Sara Gonzalez Bolivar, Charles Alende, Vera Ruiz Moleon, Maryam Fotouhi, Mona Alqazzaz, Kathleen Southern, Walaa Alshafie, Matt R Baker, Alexander R Ball, Danielle Callahan, Jeffery A Cooper, Katherine Crosby, Kevin J Harvey, Douglas W Houston, Ravindran Kumaran, Meghan Rego, Christine Schofield, Hai Wu, Michael S Biddle, Claire M Brown, Richard A Kahn, Anita Bandrowski, Harvinder VirkHarvinder Virk, Aled M Edwards, Peter S McPherson, Carl Laflamme
Antibody-based research applications are critical for biological discovery. Yet there are no industry standards for comparing the performance of antibodies in various applications. We describe a knockout cell line-based antibody characterization platform, developed and approved jointly by industry and academic researchers, that enables the systematic comparison of antibody performance in western blot, immunoprecipitation and immunofluorescence. The scalable protocols, which require minimal technological resources, consist of (1) the identification of appropriate cell lines for antibody characterization studies, (2) development/contribution of isogenic knockout controls, and (3) a series of antibody characterization procedures focused on the most common applications of antibodies in research. We provide examples of expected outcomes to guide antibody users in evaluating antibody performance. Central to our approach is advocating for transparent and open data sharing, enabling a community effort to identify specific antibodies for all human proteins. Mid-level graduate students with training in biochemistry and prior experience in cell culture and microscopy can complete the protocols for a specific protein within 1 month while working part-time on this effort. Antibody characterization is needed to meet standards for resource validation and data reproducibility, which are increasingly required by journals and funding agencies.

History

Author affiliation

College of Life Sciences Respiratory Sciences

Version

  • AO (Author's Original)

Published in

Nature Protocols

Publisher

Springer Science and Business Media LLC

issn

1754-2189

eissn

1750-2799

Copyright date

2024

Available date

2025-02-06

Spatial coverage

England

Language

en

Deposited by

Dr Harvinder Virk

Deposit date

2025-01-31

Data Access Statement

Underlying data can be found at Zenodo via the following links: https://doi.org/10.5281/zenodo.8356134 (ref. 49), https://doi.org/10.5281/zenodo.10844512 (ref. 50), https://doi.org/10.5281/zenodo.10108291 (ref. 51), https://doi.org/10.5281/zenodo.10149969 (ref. 52), https://doi.org/10.5281/zenodo.12666747 (ref. 53), https://doi.org/10.5281/zenodo.12636746 (ref. 54), https://doi.org/10.5281/zenodo.7459248 (ref. 55), https://doi.org/10.5281/zenodo.10835290 (ref. 56), https://doi.org/10.5281/zenodo.7671286 (ref. 57), https://doi.org/10.5281/zenodo.10835327 (ref. 58), https://doi.org/10.5281/zenodo.7459387 (ref. 59), https://doi.org/10.5281/zenodo.10838677 (ref. 60), https://doi.org/10.5281/zenodo.4724176 (ref. 61), https://doi.org/10.5281/zenodo.10845536 (ref. 62), https://doi.org/10.5281/zenodo.13151151 (ref. 63), https://doi.org/10.5281/zenodo.7971951 (ref. 64), https://doi.org/10.5281/zenodo.10839338 (ref. 65), https://doi.org/10.5281/zenodo.7459541 (ref. 66), https://doi.org/10.5281/zenodo.7671135 (ref. 67), https://doi.org/10.5281/zenodo.10819348 (ref. 68), https://doi.org/10.5281/zenodo.10927535 (ref. 69), https://doi.org/10.5281/zenodo.10819189 (ref. 70) and https://doi.org/10.5281/zenodo.10839647 (ref. 71).

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