Workflow for analysis of high mass accuracy salivary data set using MaxQuant and ProteinPilot search algorithm.

Abstract:

:LTQ Orbitrap data analyzed with ProteinPilot can be further improved by MaxQuant raw data processing, which utilizes precursor-level high mass accuracy data for peak processing and MGF creation. In particular, ProteinPilot results from MaxQuant-processed peaklists for Orbitrap data sets resulted in improved spectral utilization due to an improved peaklist quality with higher precision and high precursor mass accuracy (HPMA). The output and postsearch analysis tools of both workflows were utilized for previously unexplored features of a three-dimensional fractionated and hexapeptide library (ProteoMiner) treated whole saliva data set comprising 200 fractions. ProteinPilot's ability to simultaneously predict multiple modifications showed an advantage from ProteoMiner treatment for modified peptide identification. We demonstrate that complementary approaches in the analysis pipeline provide comprehensive results for the whole saliva data set acquired on an LTQ Orbitrap. Overall our results establish a workflow for improved protein identification from high mass accuracy data.

journal_name

Proteomics

journal_title

Proteomics

authors

Jagtap P,Bandhakavi S,Higgins L,McGowan T,Sa R,Stone MD,Chilton J,Arriaga EA,Seymour SL,Griffin TJ

doi

10.1002/pmic.201100097

subject

Has Abstract

pub_date

2012-06-01 00:00:00

pages

1726-30

issue

11

eissn

1615-9853

issn

1615-9861

journal_volume

12

pub_type

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