Literature DB >> 34181432

Automated Assignment of Proteoform Classification Levels.

Zach Rolfs1, Lloyd M Smith1.   

Abstract

Proteoform identification is required to fully understand the biological diversity present in a sample. However, these identifications are often ambiguous because of the challenges in analyzing full length proteins by mass spectrometry. A five-level proteoform classification system was recently developed to delineate the ambiguity of proteoform identifications and to allow for comparisons across software platforms and acquisition methods. Widespread adoption of this system requires software tools to provide classification of the proteoform identifications. We describe here an implementation of the five-level classification system in the software program MetaMorpheus, which provides both bottom-up and top-down identifications. Additionally, we developed a stand-alone program called ProteoformClassifier that allows users to classify proteoform results from any search program, provided that the program writes output that includes the information necessary to evaluate proteoform ambiguity. This stand-alone program includes a small test file and database to evaluate if a given program provides sufficient information to evaluate ambiguity. If the program does not, then ProteoformClassifier provides meaningful feedback to assist developers with implementing the classification system. We tested currently available top-down software programs and found that none of them (other than MetaMorpheus) provided sufficient information regarding identification ambiguity to permit classification.

Entities:  

Keywords:  classification; post-translational modification; proteoforms; software; top-down proteomics

Mesh:

Substances:

Year:  2021        PMID: 34181432      PMCID: PMC8764746          DOI: 10.1021/acs.jproteome.1c00417

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   5.370


  12 in total

1.  TopPIC: a software tool for top-down mass spectrometry-based proteoform identification and characterization.

Authors:  Qiang Kou; Likun Xun; Xiaowen Liu
Journal:  Bioinformatics       Date:  2016-07-16       Impact factor: 6.937

2.  Enhanced Global Post-translational Modification Discovery with MetaMorpheus.

Authors:  Stefan K Solntsev; Michael R Shortreed; Brian L Frey; Lloyd M Smith
Journal:  J Proteome Res       Date:  2018-04-02       Impact factor: 4.466

3.  Proteoforms as the next proteomics currency.

Authors:  Lloyd M Smith; Neil L Kelleher
Journal:  Science       Date:  2018-03-08       Impact factor: 47.728

4.  Expanding Proteoform Identifications in Top-Down Proteomic Analyses by Constructing Proteoform Families.

Authors:  Leah V Schaffer; Michael R Shortreed; Anthony J Cesnik; Brian L Frey; Stefan K Solntsev; Mark Scalf; Lloyd M Smith
Journal:  Anal Chem       Date:  2017-12-22       Impact factor: 6.986

5.  Improving Proteoform Identifications in Complex Systems Through Integration of Bottom-Up and Top-Down Data.

Authors:  Leah V Schaffer; Robert J Millikin; Michael R Shortreed; Mark Scalf; Lloyd M Smith
Journal:  J Proteome Res       Date:  2020-07-10       Impact factor: 4.466

6.  Constructing Human Proteoform Families Using Intact-Mass and Top-Down Proteomics with a Multi-Protease Global Post-Translational Modification Discovery Database.

Authors:  Yunxiang Dai; Katherine E Buxton; Leah V Schaffer; Rachel M Miller; Robert J Millikin; Mark Scalf; Brian L Frey; Michael R Shortreed; Lloyd M Smith
Journal:  J Proteome Res       Date:  2019-09-18       Impact factor: 4.466

7.  Proteoform Suite: Software for Constructing, Quantifying, and Visualizing Proteoform Families.

Authors:  Anthony J Cesnik; Michael R Shortreed; Leah V Schaffer; Rachel A Knoener; Brian L Frey; Mark Scalf; Stefan K Solntsev; Yunxiang Dai; Audrey P Gasch; Lloyd M Smith
Journal:  J Proteome Res       Date:  2017-12-15       Impact factor: 4.466

8.  Informed-Proteomics: open-source software package for top-down proteomics.

Authors:  Jungkap Park; Paul D Piehowski; Christopher Wilkins; Mowei Zhou; Joshua Mendoza; Grant M Fujimoto; Bryson C Gibbons; Jared B Shaw; Yufeng Shen; Anil K Shukla; Ronald J Moore; Tao Liu; Vladislav A Petyuk; Nikola Tolić; Ljiljana Paša-Tolić; Richard D Smith; Samuel H Payne; Sangtae Kim
Journal:  Nat Methods       Date:  2017-08-07       Impact factor: 28.547

9.  Global Post-Translational Modification Discovery.

Authors:  Qiyao Li; Michael R Shortreed; Craig D Wenger; Brian L Frey; Leah V Schaffer; Mark Scalf; Lloyd M Smith
Journal:  J Proteome Res       Date:  2017-03-01       Impact factor: 4.466

10.  Elucidating Proteoform Families from Proteoform Intact-Mass and Lysine-Count Measurements.

Authors:  Michael R Shortreed; Brian L Frey; Mark Scalf; Rachel A Knoener; Anthony J Cesnik; Lloyd M Smith
Journal:  J Proteome Res       Date:  2016-03-16       Impact factor: 4.466

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  1 in total

1.  Internal Fragment Ions Disambiguate and Increase Identifications in Top-Down Proteomics.

Authors:  Zach Rolfs; Lloyd M Smith
Journal:  J Proteome Res       Date:  2021-11-05       Impact factor: 4.466

  1 in total

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