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Quantification of Proteins Using Peptide Immunoaffinity Enrichment Coupled with Mass Spectrometry
Published on: July 31, 2011
Quantification of 782 Plasma Peptides by Multiplexed Targeted Proteomics
Antoine Lesur1, François Bernardin1, Eric Koncina2
1Luxembourg Institute of Health, Strassen L-1445, Luxembourg.
New mass spectrometry methods, parallel reaction monitoring with parallel accumulation and serial fragmentation (PRM-PASEF) and guided data independent acquisition (g-DIA-PASEF), enhance blood protein analysis for diagnostics. These techniques enable rapid, unbiased screening of potential biomarkers in plasma samples.
Area of Science:
- Clinical proteomics
- Mass spectrometry-based diagnostics
- Biomarker discovery
Background:
- Blood analysis is crucial for clinical diagnostics.
- Mass spectrometry has advanced protein identification and quantification in blood.
- Ion mobility enhances proteome coverage and reduces analysis time in mass spectrometry.
Purpose of the Study:
- To evaluate parallel reaction monitoring with parallel accumulation and serial fragmentation (PRM-PASEF) for plasma protein quantification.
- To introduce and assess guided data independent acquisition with parallel accumulation and serial fragmentation (g-DIA-PASEF) as a faster alternative.
- To demonstrate the utility of these methods for biomarker discovery in colorectal cancer (CRC) patient plasma.
Main Methods:
- Utilized PRM-PASEF with isotope-labeled peptides to quantify proteins in spiked plasma samples.
- Developed and applied g-DIA-PASEF for blood plasma analysis.
- Analyzed plasma samples from 20 colorectal cancer patients and controls using both methods.
Main Results:
- PRM-PASEF quantified 565 plasma proteins from a targeted peptide mix.
- g-DIA-PASEF demonstrated comparable performance to PRM-PASEF for plasma analysis.
- Identified 14 differentially regulated proteins between CRC patients and controls.
Conclusions:
- PRM-PASEF and g-DIA-PASEF are powerful targeted and untargeted proteomics techniques for blood plasma analysis.
- These methods enable rapid and unbiased screening for potential protein biomarkers.
- The techniques show promise for clinical diagnostics, including colorectal cancer biomarker discovery, without preselecting candidates.
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