Skip to content
Quantification of 782 Plasma Peptides by Multiplexed Targeted Proteomics

The article titled “Quantification of 782 Plasma Peptides by Multiplexed Targeted Proteomics” describes a new data acquisition method for quantifying a large number of peptides in plasma using multiplexed targeted proteomics. Lesur et al. improved upon the parallel accumulation and serial fragmentation (prm-PASEF) technique, and developed a less time-consuming alternative known as guided data independent acquisition (dia)-PASEF (g-dia-PASEF). These methods were used to quantify 565 plasma proteins using 782 labelled peptides, and analyzed blood samples from a cohort of patients with colorectal cancer. This allowed the authors to identify 14 differentially regulated proteins in these patients comparing to the control samples, which demonstrated the potential of this method to provide a rapid and unbiased way to quantify a large number of peptides in plasma, making it a powerful tool for biomarker discovery and validation.


This study utilized our 25cm Aurora Ultimate column, increasing sensitivity and coverage.

Read the full paper here – Journal Article – 2023 – Journal of Proteome Research

Authors

A. Lesur; F. Bernardin; E. Koncina; E. Letellier; G. Kruppa; P.-O. Schmit; G. Dittmar

Title

Quantification of 782 Plasma Peptides by Multiplexed Targeted Proteomics

 
Share:

Related publications & news

World Immunization Week starts today! From the 24 to the 30 April 2024...
Melbourne, April 22 2024: IonOpticks has proudly been awarded a Silver Winn...
This groundbreaking study introduces a novel deep learning-based approach c...
In a groundbreaking study, researchers used Single Cell ProtEomics to delve...
Leduc et. al have developed nPOP, a revolutionary method for single-cell pr...
Presented here is the latest breakthrough in immunopeptidomics by Wahle et ...
In a groundbreaking study by Gurung et. al, researchers expanded the repert...
Researchers have made significant strides in understanding the sexual repro...
Previous
Next