The C9ORF72 example illustrates a widespread problem. Antibodies are one of the most commonly employed reagents in molecular research, used to identify single proteins in a cell’s complex mixture. But scientists have known for decades that they can be inaccurate, binding to more than just the protein of interest. Publications that unknowingly use inaccurate antibodies can compound the issue, making it difficult to reproduce scientific results and raising questions about the validity of some preclinical drug studies.
Despite the seriousness of the problem, the field lacks a systematic way to characterize antibody accuracy. Quantifying how precisely an antibody highlights its target — its selectivity and specificity — is expensive and time consuming. The gold-standard approach is to compare cells expressing a target protein and those genetically modified to lack the target protein. Though many manufacturers do some knockout testing, the process is too expensive to apply to all antibody products. Most labs lack the requisite technologies, time or funding to rigorously characterize antibodies. As a result, most homemade or commercial antibodies are not subject to strict testing, a serious structural failure in the antibody ecosystem.