Protein Isotope Labeling Formula:
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Protein isotope labeling is a technique used in proteomics and biochemistry where specific atoms in proteins are replaced with their stable isotope counterparts. This allows researchers to track and quantify proteins in complex mixtures using mass spectrometry.
The calculator uses the natural abundance formula:
Where:
Explanation: This calculation determines the percentage of proteins in a sample that haven't been isotopically labeled, which is important for quantifying labeling efficiency in proteomics experiments.
Details: Calculating natural abundance is crucial for accurate protein quantification, determining labeling efficiency, and correcting for naturally occurring isotopes in mass spectrometry-based proteomics experiments.
Tips: Enter the number of unlabeled molecules and the total number of molecules. Both values must be positive numbers, and the unlabeled count cannot exceed the total count.
Q1: What is considered a good labeling efficiency?
A: Typically, labeling efficiency above 95% is considered good for most proteomics applications, though this can vary depending on the specific experiment.
Q2: Why is natural abundance important in mass spectrometry?
A: Natural abundance affects the mass-to-charge ratio detected by mass spectrometers and must be accounted for to accurately interpret isotopic distributions.
Q3: What are common isotopes used in protein labeling?
A: Common isotopes include ²H (deuterium), ¹³C, ¹⁵N, and ¹⁸O, each with different natural abundances and applications.
Q4: How does natural abundance affect quantitative proteomics?
A: High natural abundance can interfere with accurate quantification of labeled proteins and must be corrected using mathematical algorithms.
Q5: Can this calculator be used for other biomolecules?
A: While designed for proteins, the same principle applies to other isotopically labeled biomolecules like peptides, metabolites, or nucleic acids.