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Enhanced Sample Multiplexing of Tissues Using Combined Precursor Isotopic Labeling and Isobaric Tagging (cPILOT)

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Isotope-coded affinity tagging of proteins.

Ruedi Aebersold, Timothy J Griffin, Sam Donohoe

|March 2, 2011

Summary

This summary is machine-generated.

This study introduces isotope-coded affinity tags (ICATs) for quantitative proteomics, enabling precise differential expression analysis of proteins between normal and disease states using mass spectrometry.

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Area of Science:

Proteomics
Biochemistry
Mass Spectrometry

Background:

Traditional quantitative proteomics relies on 2D gel electrophoresis, which has limitations in accuracy and throughput.
Mass spectrometry (MS)-based methods offer advanced capabilities for differential expression studies.
Stable isotope labeling techniques provide a powerful approach for quantitative proteomics.

Purpose of the Study:

To describe a protocol for quantitative proteomics using isotope-coded affinity tags (ICATs).
To enable accurate comparison of protein expression levels between different biological states (e.g., normal vs. disease).
To simplify complex protein mixtures for enhanced MS analysis.

Main Methods:

Utilizes ICAT reagents with light (d0) and heavy (d8) isotopes to label cysteine residues in proteins from two different cell populations.
Combines labeled protein mixtures, followed by proteolytic digestion.
Employs avidin affinity purification to enrich cysteine-containing peptides, followed by MS analysis for quantitation.

Main Results:

ICAT labeling allows for precise quantitation of differential protein expression based on isotope abundance ratios.
Affinity purification significantly simplifies peptide mixtures, reducing complexity by approximately 10-fold.
Protein identification is achieved through peptide molecular mass and MS/MS sequencing.

Conclusions:

ICATs coupled with MS provide a robust and quantitative method for differential proteomics.
This approach facilitates the identification and quantification of proteins altered in different biological conditions.
The protocol offers a valuable tool for advancing our understanding of complex biological systems.