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ArticleOnline nowOpen access 1Department of Physiology, Development and Neuroscience, University of Cambridge, Downing Street, Cambridge CB2 3DY, UK 2Division of Biology and Biological Engineering, California Institute of Technology (Caltech), Pasadena, CA 91125, USA 3Department of Bioengineering and Barnett Institute, Northeastern University, Boston, MA 02115, USA 4Parallel Squared Technology Institute, Watertown, MA 02472, USA 5Department of Biochemistry, University of Cambridge, Hopkins...
Abstract Liquid chromatography-mass spectrometry (LC-MS) can enable precise and accurate quantification of analytes at high-sensitivity, but the rate at which samples can be analyzed remains limiting. Throughput can be increased by multiplexing samples in the mass domain with plexDIA, yet multiplexing along one dimension will only linearly scale throughput with plex.
Abstract The throughput of mass spectrometry (MS) proteomics can be increased substantially by multiplexing that enables parallelization of data acquisition. Such parallelization in the mass domain (plexDIA) and the time domain (timePlex) increases the density of mass spectra and the overlap between ions originating from different precursors, potentially inhibiting analysis.
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