Robust, Precise, and Deep Proteome Profiling Using a Small Mass Range and Narrow Window Data-Independent-Acquisition Scheme

J Proteome Res. 2024 Mar 1;23(3):1028-1038. doi: 10.1021/acs.jproteome.3c00736. Epub 2024 Jan 26.

Abstract

In recent years, a plethora of different data-independent acquisition methods have been developed for proteomics to cover a wide range of requirements. Current deep proteome profiling methods rely on fractionations, elaborate chromatography, and mass spectrometry setups or display suboptimal quantitative precision. We set out to develop an easy-to-use one shot DIA method that achieves high quantitative precision and high proteome coverage. We achieve this by focusing on a small mass range of 430-670 m/z using small isolation windows without overlap. With this new method, we were able to quantify >9200 protein groups in HEK lysates with an average coefficient of variance of 3.2%. To demonstrate the power of our newly developed narrow mass range method, we applied it to investigate the effect of PGC-1α knockout on the skeletal muscle proteome in mice. Compared to a standard data-dependent acquisition method, we could double proteome coverage and, most importantly, achieve a significantly higher quantitative precision, as compared to a previously proposed DIA method. We believe that our method will be especially helpful in quantifying low abundant proteins in samples with a high dynamic range. All raw and result files are available at massive.ucsd.edu (MSV000092186).

Keywords: DIA; PGC-1α; WikiPathWay enrichments; deep proteome profiling; murine skeletal muscle; narrow mass range; proteomics; robust quantitation.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Mass Spectrometry / methods
  • Mice
  • Proteome* / analysis
  • Proteomics / methods
  • Software*

Substances

  • Proteome