Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Correspondence
  • Published:

Group-DIA: analyzing multiple data-independent acquisition mass spectrometry data files

This is a preview of subscription content, access via your institution

Relevant articles

Open Access articles citing this article.

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1: The principle of Group-DIA and evaluation of its performance in analyzing DIA-MS data files.

References

  1. Venable, J.D., Dong, M.Q., Wohlschlegel, J., Dillin, A. & Yates, J.R. Nat. Methods 1, 39–45 (2004).

    Article  CAS  Google Scholar 

  2. Plumb, R.S. et al. Rapid Commun. Mass Spectrom. 20, 1989–1994 (2006).

    Article  CAS  Google Scholar 

  3. Panchaud, A. et al. Anal. Chem. 81, 6481–6488 (2009).

    Article  CAS  Google Scholar 

  4. Gillet, L.C. et al. Mol. Cell. Proteomics 11, O111.016717 (2012).

    Article  Google Scholar 

  5. Tsou, C.C. et al. Nat. Methods 12, 258–264, (2015).

    Article  CAS  Google Scholar 

  6. Röst, H.L. et al. Nat. Biotechnol. 32, 219–223 (2014).

    Article  Google Scholar 

Download references

Acknowledgements

We thank Z. Xu and Y. Yu for help with the high-performance computer. This work was supported by the National Science Foundation (NSF) of China (grants 91429301 and 31221065), 973 Program 2015CB553800, National Major Project 2013ZX10002-002, 111 Project B12001, funding from Xiamen City (grant 3502Z20130027) and the NSF of China for Fostering Talents in Basic Research (grant J1310027).

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Chuan-Qi Zhong or Jiahuai Han.

Ethics declarations

Competing interests

The authors declare no competing financial interests.

Supplementary information

Supplementary Text and Figures

Supplementary Figures 1–21, Supplementary Notes 1–3 and Supplementary Methods (PDF 2618 kb)

Supplementary Table 1

The peptide ions identified in the yeast SGS data set by Group-DIA and DIA-Umpire software (XLSX 595 kb)

Supplementary Table 2

The peptide ions identified in the human SGS data set by Group-DIA and DIA-Umpire software (XLSX 793 kb)

Supplementary Table 3

The peptide ions identified in the TNFR1 data set by Group-DIA and DIA-Umpire software (XLSX 269 kb)

Supplementary Table 4

The peptides and proteins identified in the TNFR1 data set by shotgun MS (XLSX 750 kb)

Supplementary Table 5

The proteins quantified by Group-DIA, DIA-Umpire and OpenSWATH in the TNFR1 data set (XLSX 484 kb)

Supplementary Table 6

Fractionation techniques used in L929 cell proteome library building (XLSX 8 kb)

Supplementary Table 7

Peptides and proteins identified by shotgun MS in the whole L929 cell data set (XLSX 6467 kb)

Supplementary Table 8

The proteins quantified by Group-DIA and OpenSWATH in the whole L929 cell data set (XLSX 3690 kb)

Supplementary Table 9

The regulated proteins that were manually checked in the whole L929 cell data set (XLSX 29 kb)

Supplementary Data

The XICs of all SIS peptides identified by Group-DIA but not by DIA-Umpire, and the assay libraries of the TNF IP data set and whole L929 cell data set for OpenSWATH analysis (ZIP 29325 kb)

Supplementary Software

Group-DIA software (ZIP 1226 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, Y., Zhong, CQ., Xu, X. et al. Group-DIA: analyzing multiple data-independent acquisition mass spectrometry data files. Nat Methods 12, 1105–1106 (2015). https://doi.org/10.1038/nmeth.3593

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/nmeth.3593

This article is cited by

Search

Quick links

Nature Briefing: Translational Research

Sign up for the Nature Briefing: Translational Research newsletter — top stories in biotechnology, drug discovery and pharma.

Get what matters in translational research, free to your inbox weekly. Sign up for Nature Briefing: Translational Research