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

N Biotechnol. 2025 Jul 25:87:121-129. doi: 10.1016/j.nbt.2025.04.004. Epub 2025 Apr 17.

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.

Keywords: hybridoma; monoclonal antibody; plasmid; recombinant antibody; research reproducibility and transparency; research resource.

MeSH terms

  • Animals
  • Antibodies*
  • Biomedical Research*
  • Humans
  • Reproducibility of Results
  • Software

Substances

  • Antibodies