As biomarkers grow in relevance for both the design and support of therapeutics and the clinical trial associated with them, there is an ever increasing need for accurate quantitation of these biochemical entitie in biological matrices. While quantifying many biotherapeutics via ligand binding assay platforms can b fairly straightforward, biomarkers present some unique challenges that must be taken into account durin assay development, validation and subsequent sample analysis. These challenges can be especiall confounded by the relationship between two ligand binding assay tools: The regression curve and qualit control samples. Due diligence must be performed to develop an assay that takes into account matrix vs buffer effects and endogenous biomarker presence. Lack of diligence in these areas can lead to less tha reliable results, thus potentially rendering the intended use of the assay moot. © 2012 Science Publication.
CITATION STYLE
Dysinger, M. (2012). Biomarker quantitation: Analytical considerations for ligand binding assay regression curves and quality control samples. American Journal of Immunology, 8(3), 71–77. https://doi.org/10.3844/ajisp.2012.71.77
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