LTQ-iQuant: A freely available software pipeline for automated and accurate protein quantification of isobaric tagged peptide data from LTQ instruments

Getiria Onsongo, Matthew D. Stone, Susan K. Van Riper, John Chilton, Baolin Wu, Lee Ann Higgins, Troy C. Lund, John V. Carlis, Timothy J. Griffin

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

Pulsed Q dissociation enables combining LTQ ion trap instruments with isobaric peptide tagging. Unfortunately, this combination lacks a technique which accurately reports protein abundance ratios and is implemented in a freely available, flexible software pipeline. We developed and implemented a technique assigning collective reporter ion intensity-based weights to each peptide abundance ratio and calculating a protein's weighted average abundance ratio and p-value. Using an iTRAQ-labeled standard mixture, we compared our technique's performance to the commercial software MASCOT, finding that it performed better than MASCOT's nonweighted averaging and median peptide ratio techniques, and equal to its weighted averaging technique. We also compared performance of the LTQ-Orbitrap plus our technique to 4800 MALDI TOF/TOF plus Protein Pilot, by analyzing an iTRAQ-labeled stem cell lysate. We found highly correlated protein abundance ratios, indicating that the LTQ-Orbitrap plus our technique yields results comparable to the current standard. We implemented our technique in a freely available, automated software pipeline, called LTQ-iQuant, which is mzXML-compatible; supports iTRAQ 4-plex and 8-plex LTQ data; and can be modified for and have weights trained to a user's LTQ and other isobaric peptide tagging methods. LTQ-iQuant should make LTQ instruments and isobaric peptide tagging accessible to more proteomic researchers.

Original languageEnglish (US)
Pages (from-to)3533-3538
Number of pages6
JournalProteomics
Volume10
Issue number19
DOIs
StatePublished - Oct 1 2010

Fingerprint

Software
Pipelines
Peptides
Proteins
Ions
Weights and Measures
Matrix-Assisted Laser Desorption-Ionization Mass Spectrometry
Stem cells
Proteomics
Stem Cells
Research Personnel

All Science Journal Classification (ASJC) codes

  • Biochemistry
  • Molecular Biology

Cite this

Onsongo, Getiria ; Stone, Matthew D. ; Van Riper, Susan K. ; Chilton, John ; Wu, Baolin ; Higgins, Lee Ann ; Lund, Troy C. ; Carlis, John V. ; Griffin, Timothy J. / LTQ-iQuant : A freely available software pipeline for automated and accurate protein quantification of isobaric tagged peptide data from LTQ instruments. In: Proteomics. 2010 ; Vol. 10, No. 19. pp. 3533-3538.
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LTQ-iQuant : A freely available software pipeline for automated and accurate protein quantification of isobaric tagged peptide data from LTQ instruments. / Onsongo, Getiria; Stone, Matthew D.; Van Riper, Susan K.; Chilton, John; Wu, Baolin; Higgins, Lee Ann; Lund, Troy C.; Carlis, John V.; Griffin, Timothy J.

In: Proteomics, Vol. 10, No. 19, 01.10.2010, p. 3533-3538.

Research output: Contribution to journalArticle

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AU - Onsongo, Getiria

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AU - Van Riper, Susan K.

AU - Chilton, John

AU - Wu, Baolin

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AU - Lund, Troy C.

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AU - Griffin, Timothy J.

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