Literature DB >> 26265041

Software Analysis of Uncorrelated MS1 Peaks for Discovery of Post-Translational Modifications.

Bruce D Pascal1, Graham M West2, Catherina Scharager-Tapia2, Ricardo Flefil2, Tina Moroni2, Pablo Martinez-Acedo2, Patrick R Griffin3, Anthony C Carvalloza4.   

Abstract

The goal in proteomics to identify all peptides in a complex mixture has been largely addressed using various LC MS/MS approaches, such as data dependent acquisition, SRM/MRM, and data independent acquisition instrumentation. Despite these developments, many peptides remain unsequenced, often due to low abundance, poor fragmentation patterns, or data analysis difficulties. Many of the unidentified peptides exhibit strong evidence in high resolution MS(1) data and are frequently post-translationally modified, playing a significant role in biological processes. Proteomics Workbench (PWB) software was developed to automate the detection and visualization of all possible peptides in MS(1) data, reveal candidate peptides not initially identified, and build inclusion lists for subsequent MS(2) analysis to uncover new identifications. We used this software on existing data on the autophagy regulating kinase Ulk1 as a proof of concept for this method, as we had already manually identified a number of phosphorylation sites Dorsey, F. C. et al (J. Proteome. Res. 8(11), 5253-5263 (2009)). PWB found all previously identified sites of phosphorylation. The software has been made freely available at http://www.proteomicsworkbench.com . Graphical Abstract ᅟ.

Entities:  

Keywords:  Computational proteomics; MS1 data analysis; Mass spectrometry; PTMs; Peptide identification; Post-translational modifications

Mesh:

Substances:

Year:  2015        PMID: 26265041     DOI: 10.1007/s13361-015-1229-4

Source DB:  PubMed          Journal:  J Am Soc Mass Spectrom        ISSN: 1044-0305            Impact factor:   3.109


  63 in total

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9.  Identification of post-translational modifications by blind search of mass spectra.

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Journal:  Nat Biotechnol       Date:  2005-11-27       Impact factor: 54.908

10.  OpenSWATH enables automated, targeted analysis of data-independent acquisition MS data.

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Journal:  Nat Biotechnol       Date:  2014-03       Impact factor: 54.908

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  1 in total

1.  ProteinProcessor: A probabilistic analysis using mass accuracy and the MS spectrum.

Authors:  Jonathan A Epstein; Paul S Blank; Brian C Searle; Aaron D Catlin; Stephanie M Cologna; Matthew T Olson; Peter S Backlund; Jens R Coorssen; Alfred L Yergey
Journal:  Proteomics       Date:  2016-09       Impact factor: 3.984

  1 in total

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