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Fast and reliable quantitative peptidomics with labelpepmatch

(2016) JOURNAL OF PROTEOME RESEARCH. 15(3). p.1080-1089
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Abstract
The use of stable isotope tags in quantitative peptidomics offers many advantages, but the laborious identification of matching sets of labeled peptide peaks is still a major bottleneck. Here we present labelpepmatch, an R package for fast and straightforward analysis of LC MS spectra of labeled peptides. This open-source tool offers fast and accurate identification of peak pairs alongside an appropriate framework for statistical inference on quantitative peptidomics data, based on techniques from other-omics disciplines. A relevant case study on the desert locust Schistocerca gregaria proves our pipeline to be a reliable tool for quick but thorough explorative analyses.
Keywords
pyrokinin, isotope tag, label, neuropeptide, peptide, peptidomics, TMAB, PBAN, pyrokinin, hugin, locust, LOCUST SCHISTOCERCA-GREGARIA, ION-TRANSPORT PEPTIDE, MASS-SPECTROMETRIC APPROACH, CENTRAL-NERVOUS-SYSTEM, DESERT LOCUST, DROSOPHILA-MELANOGASTER, ENDOGENOUS PEPTIDES, BEHAVIORAL GREGARIZATION, CAENORHABDITIS-ELEGANS, MOLECULAR MARKERS

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MLA
Verdonck, Rik et al. “Fast and Reliable Quantitative Peptidomics with Labelpepmatch.” JOURNAL OF PROTEOME RESEARCH 15.3 (2016): 1080–1089. Print.
APA
Verdonck, R., De Haes, W., Cardoen, D., Menschaert, G., Huhn, T., Landuyt, B., Baggerman, G., et al. (2016). Fast and reliable quantitative peptidomics with labelpepmatch. JOURNAL OF PROTEOME RESEARCH, 15(3), 1080–1089.
Chicago author-date
Verdonck, Rik, Wouter De Haes, Dries Cardoen, Gerben Menschaert, Thomas Huhn, Bart Landuyt, Geert Baggerman, Kurt Boonen, Tom Wenseleers, and Liliane Schoofs. 2016. “Fast and Reliable Quantitative Peptidomics with Labelpepmatch.” Journal of Proteome Research 15 (3): 1080–1089.
Chicago author-date (all authors)
Verdonck, Rik, Wouter De Haes, Dries Cardoen, Gerben Menschaert, Thomas Huhn, Bart Landuyt, Geert Baggerman, Kurt Boonen, Tom Wenseleers, and Liliane Schoofs. 2016. “Fast and Reliable Quantitative Peptidomics with Labelpepmatch.” Journal of Proteome Research 15 (3): 1080–1089.
Vancouver
1.
Verdonck R, De Haes W, Cardoen D, Menschaert G, Huhn T, Landuyt B, et al. Fast and reliable quantitative peptidomics with labelpepmatch. JOURNAL OF PROTEOME RESEARCH. 2016;15(3):1080–9.
IEEE
[1]
R. Verdonck et al., “Fast and reliable quantitative peptidomics with labelpepmatch,” JOURNAL OF PROTEOME RESEARCH, vol. 15, no. 3, pp. 1080–1089, 2016.
@article{8198277,
  abstract     = {The use of stable isotope tags in quantitative peptidomics offers many advantages, but the laborious identification of matching sets of labeled peptide peaks is still a major bottleneck. Here we present labelpepmatch, an R package for fast and straightforward analysis of LC MS spectra of labeled peptides. This open-source tool offers fast and accurate identification of peak pairs alongside an appropriate framework for statistical inference on quantitative peptidomics data, based on techniques from other-omics disciplines. A relevant case study on the desert locust Schistocerca gregaria proves our pipeline to be a reliable tool for quick but thorough explorative analyses.},
  author       = {Verdonck, Rik and De Haes, Wouter and Cardoen, Dries and Menschaert, Gerben and Huhn, Thomas and Landuyt, Bart and Baggerman, Geert and Boonen, Kurt and Wenseleers, Tom and Schoofs, Liliane},
  issn         = {1535-3893},
  journal      = {JOURNAL OF PROTEOME RESEARCH},
  keywords     = {pyrokinin,isotope tag,label,neuropeptide,peptide,peptidomics,TMAB,PBAN,pyrokinin,hugin,locust,LOCUST SCHISTOCERCA-GREGARIA,ION-TRANSPORT PEPTIDE,MASS-SPECTROMETRIC APPROACH,CENTRAL-NERVOUS-SYSTEM,DESERT LOCUST,DROSOPHILA-MELANOGASTER,ENDOGENOUS PEPTIDES,BEHAVIORAL GREGARIZATION,CAENORHABDITIS-ELEGANS,MOLECULAR MARKERS},
  language     = {eng},
  number       = {3},
  pages        = {1080--1089},
  title        = {Fast and reliable quantitative peptidomics with labelpepmatch},
  url          = {http://dx.doi.org/10.1021/acs.jproteome.5b00845},
  volume       = {15},
  year         = {2016},
}

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