AbMiner: A Database for Monoclonal Antibodies and Gene Information
Author Information
Author(s): Major Sylvia, Nishizuka Satoshi, Morita Daisaku, Rowland Rick, Sunshine Margot, Shankavaram Uma, Washburn Frank, Asin Daniel, Kouros-Mehr Hosein, Kane David, Weinstein John N
Primary Institution: National Cancer Institute, National Institutes of Health
Hypothesis
Can a relational database improve the selection and characterization of monoclonal antibodies for research?
Conclusion
AbMiner is a relational database that provides extensive information on over 600 available antibodies and the genes encoding their antigens.
Supporting Evidence
- AbMiner includes quality-control data against a pool of 60 diverse cancer cell types.
- The database allows users to search by multiple identifiers for antibodies and genes.
- Over 600 antibodies have been validated for specificity using Western blot analysis.
- AbMiner facilitates integration of genomic, transcriptomic, and proteomic information.
- 70% of the screened antibodies produced a single predominant band in validation tests.
Takeaway
AbMiner is like a big library that helps scientists find the right tools (antibodies) they need to study proteins in different diseases.
Methodology
Developed a relational database to organize and validate over 600 monoclonal antibodies using Western blot analysis.
Potential Biases
Potential bias in antibody selection and validation due to reliance on commercial sources.
Limitations
The database may not cover all available antibodies and relies on the quality of the antibodies provided by commercial sources.
Digital Object Identifier (DOI)
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