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Related Experiment Video

Updated: Feb 14, 2026

Sample Preparation and Relative Quantitation using Reductive Methylation of Amines for Peptidomics Studies

Sample Preparation and Relative Quantitation using Reductive Methylation of Amines for Peptidomics Studies

Published on: November 4, 2021

Quantitative Peptidomics: General Considerations.

Lloyd Fricker¹

¹Department of Molecular Pharmacology, Albert Einstein College of Medicine, Bronx, NY, USA. Lloyd.Fricker@Einstein.yu.edu.

Methods in Molecular Biology (Clifton, N.J.)

|February 25, 2018

Summary

This summary is machine-generated.

Quantitative peptidomics measures peptide amounts in biological samples. This guide explores techniques for relative and absolute quantitation, aiding researchers in selecting the best approach for their experiments.

Keywords:

DiLeu Formaldehyde Isobaric tags Isotopic label Label-free quantitation TMAB iTRAQ

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Area of Science:

Biochemistry
Proteomics
Analytical Chemistry

Background:

Peptidomics involves detecting and identifying peptides in biological samples.
Quantitative peptidomics extends this by measuring peptide abundance.
Comparing peptide levels across samples is crucial for biological insights.

Purpose of the Study:

To describe various techniques for quantitative peptidomics.
To discuss the advantages and disadvantages of each method.
To provide a guide for selecting optimal quantitative approaches.

Main Methods:

Exploration of techniques for relative quantitation of peptides.
Discussion of methods for absolute quantitation using synthetic standards.
Comparative analysis of different quantitative peptidomics strategies.

Main Results:

Detailed overview of multiple quantitative peptidomics techniques.
Evaluation of the strengths and weaknesses of each approach.
Identification of factors influencing the choice of quantitative method.

Conclusions:

The selection of a quantitative peptidomics approach depends on experimental goals and available resources.
Understanding the nuances of relative vs. absolute quantitation is key.
This chapter serves as a resource for researchers navigating quantitative peptidomics.