The mzQuantML Data Standard for Mass Spectrometry-based Quantitative Studies in Proteomics

被引:46
作者
Walzer, Mathias [1 ,2 ]
Qi, Da [3 ]
Mayer, Gerhard [4 ]
Uszkoreit, Julian [4 ]
Eisenacher, Martin [4 ]
Sachsenberg, Timo [1 ,2 ]
Gonzalez-Galarza, Faviel F. [3 ]
Fan, Jun [5 ]
Bessant, Conrad [5 ]
Deutsch, Eric W.
Reisinger, Florian [6 ]
Vizcaino, Juan Antonio [6 ]
Medina-Aunon, J. Alberto [7 ]
Albar, Juan Pablo
Kohlbacher, Oliver [1 ,2 ]
Jones, Andrew R.
机构
[1] Univ Tubingen, Quantitat Biol Ctr, D-72076 Tubingen, Germany
[2] Univ Tubingen, Dept Comp Sci, Ctr Bioinformat, D-72076 Tubingen, Germany
[3] Univ Liverpool, Inst Integrat Biol, Liverpool L69 7ZB, Merseyside, England
[4] Ruhr Univ Bochum, Med Proteom Ctr, D-44801 Bochum, Germany
[5] Cranfield Univ, Bioinformat Grp, Cranfield MK43 0AL, Beds, England
[6] EMBL EBI, Cambridge CB10 1SD, England
[7] Ctr Nacl Biotecnol CSIC, Prote Facil, Madrid 28049, Spain
基金
英国生物技术与生命科学研究理事会;
关键词
ANNUAL SPRING WORKSHOP; MINIMUM INFORMATION; HUPO-PSI; QUANTIFICATION;
D O I
10.1074/mcp.O113.028506
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The range of heterogeneous approaches available for quantifying protein abundance via mass spectrometry (MS)(1) leads to considerable challenges in modeling, archiving, exchanging, or submitting experimental data sets as supplemental material to journals. To date, there has been no widely accepted format for capturing the evidence trail of how quantitative analysis has been performed by software, for transferring data between software packages, or for submitting to public databases. In the context of the Proteomics Standards Initiative, we have developed the mzQuantML data standard. The standard can represent quantitative data about regions in two-dimensional retention time versus mass/charge space (called features), peptides, and proteins and protein groups (where there is ambiguity regarding peptide-to-protein inference), and it offers limited support for small molecule (metabolomic) data. The format has structures for representing replicate MS runs, grouping of replicates (for example, as study variables), and capturing the parameters used by software packages to arrive at these values. The format has the capability to reference other standards such as mzML and mzIdentML, and thus the evidence trail for the MS workflow as a whole can now be described. Several software implementations are available, and we encourage other bioinformatics groups to use mzQuantML as an input, internal, or output format for quantitative software and for structuring local repositories. All project resources are available in the public domain from the HUPO Proteomics Standards Initiative http://www.psidev.info/mzquantml.
引用
收藏
页码:2332 / 2340
页数:9
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