Open-source antibodies as a path to enhanced research reproducibility and transparency

Antibodies are important tools with diverse uses in biomedical research. However, open access to reliable sources of well-characterized antibodies with unambiguous molecular identities remains an obstacle to research transparency and reproducibility. We propose here a community shift towards open-source antibodies, analogous to open-source computer software. The tenets of such antibodies are that 1) they are available to researchers in a ready to use form, 2) the renewable source of the antibody (e.g., hybridoma cells or plasmid) is also widely available ensuring reproducible and cost-effective access to the same antibody, and 3) the antibody sequence is publicly available. With these criteria met, the antibody can be widely used with the transparent assurance associated with a molecularly defined reagent, and the code can be edited to generate antibody variants to meet researchers' specific needs. We (the UC Davis/NIH NeuroMab Facility, the Development Studies Hybridoma Bank, and Addgene) have established a consortium to provide open-source access to a large collection of well characterized antibodies. As open-source software has benefitted both users and developers, we suggest open-source antibodies will have a similar positive impact on antibody based biomedical research. We encourage funding agencies to support initiatives to expand access to open-source antibody resources, and researchers to both utilize and to contribute to them, with a goal of enabling more reliable and cost-effective pursuit of research.

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Publication Details

Journal
New Biotechnology
Published
2025-04-17
DOI
https://doi.org/10.1016/j.nbt.2025.04.004
Citations
5
Primary Topic
Monoclonal and Polyclonal Antibodies Research
Type
article
Field-Weighted Citation Impact
6.80

Funders

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article

Open-source antibodies as a path to enhanced research reproducibility and transparency

Karl D. Murray, Ming Fan, James S. Trimmer, Meghan A. Rego et al.
5 citations
New Biotechnology
Monoclonal and Polyclonal Antibodies Research
6.80
article

Open-source antibodies as a path to enhanced research reproducibility and transparency

Karl D. Murray, Ming Fan, James S. Trimmer, Meghan A. Rego, Douglas W. Houston
article en
5 citations

Abstract

Antibodies are important tools with diverse uses in biomedical research. However, open access to reliable sources of well-characterized antibodies with unambiguous molecular identities remains an obstacle to research transparency and reproducibility. We propose here a community shift towards open-source antibodies, analogous to open-source computer software. The tenets of such antibodies are that 1) they are available to researchers in a ready to use form, 2) the renewable source of the antibody (e.g., hybridoma cells or plasmid) is also widely available ensuring reproducible and cost-effective access to the same antibody, and 3) the antibody sequence is publicly available. With these criteria met, the antibody can be widely used with the transparent assurance associated with a molecularly defined reagent, and the code can be edited to generate antibody variants to meet researchers' specific needs. We (the UC Davis/NIH NeuroMab Facility, the Development Studies Hybridoma Bank, and Addgene) have established a consortium to provide open-source access to a large collection of well characterized antibodies. As open-source software has benefitted both users and developers, we suggest open-source antibodies will have a similar positive impact on antibody based biomedical research. We encourage funding agencies to support initiatives to expand access to open-source antibody resources, and researchers to both utilize and to contribute to them, with a goal of enabling more reliable and cost-effective pursuit of research.

New BiotechnologyVol. 87
Developmental Studies Hybridoma Bank (US), NeuroMab (US), Addgene (US), University of California, Davis (US)
National Institutes of Health, National Institute of Neurological Disorders and Stroke
Gender equality
Openalex Percentile: Top 3%
Monoclonal and Polyclonal Antibodies Research
6.80
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