Optimization of data-independent acquisition mass spectrometry for deep and highly sensitive proteomic analysis

Yusuke Kawashima, Eiichiro Watanabe, Taichi Umeyama, Daisuke Nakajima, Masahira Hattori, Kenya Honda, Osamu Ohara

Research output: Contribution to journalArticle

Abstract

Data-independent acquisition (DIA)-mass spectrometry (MS)-based proteomic analysis overtop the existing data-dependent acquisition (DDA)-MS-based proteomic analysis to enable deep proteome coverage and precise relative quantitative analysis in single-shot liquid chromatography (LC)-MS/MS. However, DIA-MS-based proteomic analysis has not yet been optimized in terms of system robustness and throughput, particularly for its practical applications. We established a single-shot LC-MS/MS system with an MS measurement time of 90 min for a highly sensitive and deep proteomic analysis by optimizing the conditions of DIA and nanoLC. We identified 7020 and 4068 proteins from 200 ng and 10 ng, respectively, of tryptic floating human embryonic kidney cells 293 (HEK293F) cell digest by performing the constructed LC-MS method with a protein sequence database search. The numbers of identified proteins from 200 ng and 10 ng of tryptic HEK293F increased to 8509 and 5706, respectively, by searching the chromatogram library created by gas-phase fractionated DIA. Moreover, DIA protein quantification was highly reproducible, with median coefficients of variation of 4.3% in eight replicate analyses. We could demonstrate the power of this system by applying the proteomic analysis to detect subtle changes in protein profiles between cerebrums in germ-free and specific pathogen-free mice, which successfully showed that >40 proteins were differentially produced between the cerebrums in the presence or absence of bacteria.

Original languageEnglish
Article number5932
JournalInternational journal of molecular sciences
Volume20
Issue number23
DOIs
Publication statusPublished - 2019 Dec 1

Fingerprint

Proteomics
Mass spectrometry
Mass Spectrometry
acquisition
mass spectroscopy
optimization
Liquid Chromatography
Proteins
proteins
Cerebrum
Tandem Mass Spectrometry
Liquid chromatography
liquid chromatography
cerebrum
Specific Pathogen-Free Organisms
Protein Databases
Proteome
shot
Libraries
proteome

Keywords

  • Deep proteomics
  • DIA
  • Label-free quantification
  • Overlaping window DIA
  • Single shot
  • SWATH

ASJC Scopus subject areas

  • Catalysis
  • Molecular Biology
  • Spectroscopy
  • Computer Science Applications
  • Physical and Theoretical Chemistry
  • Organic Chemistry
  • Inorganic Chemistry

Cite this

Optimization of data-independent acquisition mass spectrometry for deep and highly sensitive proteomic analysis. / Kawashima, Yusuke; Watanabe, Eiichiro; Umeyama, Taichi; Nakajima, Daisuke; Hattori, Masahira; Honda, Kenya; Ohara, Osamu.

In: International journal of molecular sciences, Vol. 20, No. 23, 5932, 01.12.2019.

Research output: Contribution to journalArticle

Kawashima, Yusuke ; Watanabe, Eiichiro ; Umeyama, Taichi ; Nakajima, Daisuke ; Hattori, Masahira ; Honda, Kenya ; Ohara, Osamu. / Optimization of data-independent acquisition mass spectrometry for deep and highly sensitive proteomic analysis. In: International journal of molecular sciences. 2019 ; Vol. 20, No. 23.
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