The Mass Spectrometry society of Japan - The 71st Annual Conference on Mass Spectrometry, Japan
Japanese

Abstract

Table of contents

Timetable

Plenary Lecture

Symposium Sessions (Day1, Day2, Day3)

Basic Sessions (Day1, Day2, Day3)

Young Researchers' Sessions (Day1, Day2, Day3)

Poster Presentations (Day1, Day2, Day3)

Special Evening Sessions

Corporate Program

Poster Presentations

Day 2, May 16（Tue.）　　Room P (Foyer, Room 1004-1007)

2P-45　　PDF

High-Sensitivity Charge Deconvolution Algorithm for Low-Abundance Biological Macromolecules

(1Protein Metrics, 2Janssen)
Marshall Bern1, Ignat Shilov1, Claire Bramwell1, Chi Yan Tam1, oAyako Kurimoto1, Eric Carlson1, Michael Poltash2, Andrew Mahan2, Harsha Gunawardena2, Hirsh Nanda2

Analysis of intact biological molecules including proteins, carbohydrates, and nucleic acids is one of the most fundamental and ubiquitous applications of mass spectrometry. Sensitivity to low-abundance species, say less than 5% of the most abundant species, however, has always been limited by ionization propensity, ion transmission, background noise, trap capacity, and spectrum interference. Even if the acquired m/z spectra contain signals for low-abundance species, current charge deconvolution algorithms may not reliably map the signals to the neutral mass spectrum, because the signals are insufficiently distinguished from noise. Here we describe and demonstrate improved detection and quantification of low-abundance species in biopharmaceutical samples, including multispecific monoclonal antibodies (mAbs).