MRM as a discovery tool?

Proteomics

Spectragen Informatics, Rockville, MD, USA.

Published: April 2015

AI Article Synopsis

  • Multiple-reaction monitoring (MRM) is a sensitive and robust technology for analyzing peptides, now commonly used in proteomics, but traditionally not seen as a discovery tool due to limitations in multiplexing.
  • Colangelo et al. introduced a new pipeline called xMRM that utilizes label-free methods for relative quantitation, offering cost benefits and easier data analysis.
  • Their approach successfully quantified 112 proteins with high accuracy and minimal user intervention, aiming to make MRM a more influential method in discovery proteomics, currently led by other analytical workflows.

Article Abstract

Multiple-reaction monitoring (MRM) of peptides has been recognized as a promising technology because it is sensitive and robust. Borrowed from stable-isotope dilution (SID) methodologies in the field of small molecules, MRM is now routinely used in proteomics laboratories. While its usefulness validating candidate targets is widely accepted, it has not been established as a discovery tool. Traditional thinking has been that MRM workflows cannot be multiplexed high enough to efficiently profile. This is due to slower instrument scan rates and the complexities of developing increasingly large scheduling methods. In this issue, Colangelo et al. (Proteomics 2015, 15, 1202-1214) describe a pipeline (xMRM) for discovery-style MRM using label-free methods (i.e. relative quantitation). Label-free comes with cost benefits as does MRM, where data are easier to analyze than full-scan. Their paper offers numerous improvements in method design and data analysis. The robustness of their pipeline was tested on rodent postsynaptic density fractions. There, they were able to accurately quantify 112 proteins at a CV% of 11.4, with only 2.5% of the 1697 transitions requiring user intervention. Colangelo et al. aim to extend the reach of MRM deeper into the realm of discovery proteomics, an area that is currently dominated by data-dependent and data-independent workflows.

Download full-text PDF

Source
http://dx.doi.org/10.1002/pmic.201500090DOI Listing

Publication Analysis

Top Keywords

colangelo et al
8
mrm
7
mrm discovery
4
discovery tool?
4
tool? multiple-reaction
4
multiple-reaction monitoring
4
monitoring mrm
4
mrm peptides
4
peptides recognized
4
recognized promising
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!