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timePlex

Leveraging an orthogonal strategy to isotopic multiplexing, timePlex enables combinatorial multiplexing in mass and time domains, and thus combinatorially increased sample-throughput.
timePlex schematic
This work demonstrates an approach to multiplex samples for proteomic analysis using temporal encoding, which we refer to as 'timePlex'. This entailed the development of experimental implementations to stagger and overlap chromatography from multiple samples, and computational analyses to deconvolve the temporal-encoding as integrated as a module in JMod. Experiments were performed to benchmark proteomic coverage and quantitative accuracy of this new 'timePlex' data type to established methods (LF non-multiplexed DIA and plexDIA). Combinatorial multiplexing of 9-plexDIA and 3-timePlex enabled 27-plex data acquisition, achieving throughput of 500 samples/day with 25 minutes of active chromatography per sample.

Publications

bioRxivMay 2025 DOI: 10.1101/2025.05.22.655515

Increasing mass spectrometry throughput using time-encoded sample multiplexing

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. To enable combinatorial-scaling of proteomics throughput we developed a complementary multiplexing strategy in the time domain, termed `timePlex'. timePlex staggers and overlaps the separation periods of individual samples. This strategy is orthogonal to isotopic multiplexing, which enables combinatorial multiplexing in mass and time domains when paired together and thus multiplicatively increased throughput. We demonstrate this with 3-timePlex and 3-plexDIA, enabling the multiplexing of 9 samples per LC-MS run, and 3-timePlex and 9-plexDIA exceeding 500 samples / day with a combinatorial 27-plex. Crucially, timePlex supports sensitive analyses, including of single cells. These results establish timePlex as a methodology for label-free multiplexing and for combinatorially scaling the throughput of LC-MS proteomics. We project this combined approach will eventually enable an increase in throughput exceeding 1,000 samples / day.
Increasing mass spectrometry throughput using time-encoded sample multiplexing

Protocols

Proteomics ProtocolsView
Sample Preparation ProtocolView

Data & Code

Data on MassIVEDownload
GitHub code for Data AnalysisGo to code
GitHub code for RT prediction modelsGo to code

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