I do ELISA's, but don't have a long history of interpreting them. I have non-standard data that could use some experienced eyes.
Attached are plots of a 2x dilution curve detected by sandwich ELISA. A polyclonal AB captures a purified recombinant protein and a biotinylated protein is used as the detection "AB". Strep-HRP develops TMB for color, and absorbance at 450 nm is measured.
The left plot shows a fit with the standard 4-parameter logistic equation. This equation cannot describe the extra slope in the data. Quantification of unknown samples will be trouble.
A constant slope on log scale is a logarithm, so the middle plot uses a 4-parameter logistic + a logarithm. Nice fit, quantification is possible, and logarithms are shaped similarly to binding curves; this can be interpreted as a second kind of binding with weaker affinity.
The biotynlated detection protein can in fact bind to two positions on our captured protein, their affinities are expected to be different, so two summed 4-parameter logistics (right plot) is not an unreasonable... right?
The question is, has anyone come across this shape in their ELISA standard curves, and found a satisfying, justifiable interpretation? I will redo this experiment with a higher concentration of our captured protein, but have my doubts I can drive the concentration high enough to witness a second rise and have confidence in it.
Does anyone have any good papers addressing data like this?
Thank you,
Jeremy