henhao
Sign in

Abstract

Mass spectrometry-based proteomics enables comprehensive characterization of proteins, but label-free approaches are challenging to scale to thousands of samples per day (SPD). Multiplexed data-independent approaches (plexDIA) can increase throughput but lack the mass tags to enable it. Here, we systematically screened a library of 576 compounds and identified several small molecules that, when conjugated to peptides, improve their detection and sequence identification. The lead molecule, PSMtag, substantially increases the detection of fragment b-ions, which increases the confidence of sequence identification and enhances de novo sequencing. PSMtags allow 9-plexDIA, using only stable isotopes of carbon, oxygen and nitrogen. As a result, it allows increasing sample throughput for plexDIA workflows. We demonstrate 1,130 SPD with 9-plexDIA from single-cell-level human proteomes, acquiring 27,520 protein datapoints in the same time label-free methods acquire 3,216. Our approach constitutes an expandable framework for developing mass tags to overcome existing limitations in multiplexed proteomics.

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISDerks '22Specht '26Derks '25McDonnell '25Derks '23Charkow '21
74% semantic matchBioengineering
Jason Derks, Andrew Leduc, Georg Wallmann+7 more·Nature Biotechnology·Jul 14, 2022· 235 citations