HPLC, UHPLC
LC-MS proteomics 'improved with MRCQuant'
Mar 17 2011
Writing in BMC Bioinformatics, the team from the University of Texas explain that relative isotope abundance quantification typically plays a major role in LC-MS proteomics.
But it is subject to issues during analysis, including mass drift correction, interference removal, thermal noise suppression and liquid chromatography (LC) peak boundary detection.
To overcome these, the researchers developed MRCQuant, an MRC-based method of detecting LC peak boundaries and of detecting and removing interference from the mass spectrometry part of the process.
"MRCQuant effectively addresses major issues in the relative quantification of LC-MS-based proteomics," they write.
"It provides improved performance in the quantification of low-abundance peptides."
The tests performed revealed the method capable of delivering a greater number of accurately quantified peptides, with significant improvements over representative alternative algorithms.
BMC Bioinformatics specialises in research into statistical and computational techniques for scientific analysis.
Events
May 11 2025 Vienna, Austria
May 18 2025 Tempe. AZ, USA
May 21 2025 Birmingham, UK
Jun 01 2025 Baltimore, MD, USA
Jun 15 2025 Bruges, Belgium