Is a standard curve required for relative quantification

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Is a standard curve required for relative quantification sam lord  2025-11-28 02:50
 

Hello,

I am running a PRM experiment using Heavy internal standards to quantify the L/H ratios of a peptide which I hope can provide me with relative quantification values across different samples. For accurate quantification, my understanding is that it is best to ensure your values are within the linear range of quantification i.e. above the LLOQ and below the ULOQ, and we can obtain this by generating a standard curve with different concentrations of heavy peptide spiked into our background sample.

My question therefore is when providing relative quantification values for PRM, is it essential to have calculated the LLOQ/ULOQ from a standard curve to ensure you L/H ratios are within this range or can you trust the L/H ratios without prior knowledge of the LLOQ/ULOQ?

Many thanks,

Sam

 
 
Mike MacCoss responded:  2025-11-28 20:08

Hi Sam,
The simple answer is no. Most mass spectrometry based quantitation experiments are done label free. The use of the stable isotope labeled internal standards enables normalization to minimize the measured variance. If your goal is to demonstrate that the measured peptide signal is "differential" between groups then there is no need to assess the LLOQ or even demonstrate that the measurement is linearly related to the peptide quantity.

However, if the goal is to say that the quantity of the peptide has changed by a specific amount then it will be important to demonstrate that the response is linear within the range of measurements you are making. Most people are just interested in whether a measurement is differential and the exact amount of the fold change (i.e. is it 1.5x or 2x) is less important.

If knowing the accurate fold change is important then a useful experiment is to take the sample with the largest abundance and the sample with the smallest and to mix them in know ratios. You can mix them 100:0, 75:25, 50:50, 25:75, 0:100 and if the response between those five measurements is linear then your fold change measurements between your least and most abundant samples is probably linear.

I always like to think of the stable isotope labeled peptide just as a way to normalize the signal. If you are comparing sample A to sample B then the internal standard H amount will cancel out ... [A/H]/[B/H] = A/B. We use internal standards because A/H and B/H can be measured more precisely than A and B.

I hope this helps,
Mike