Literature DB >> 33749263

Discovery of Protein Modifications Using Differential Tandem Mass Spectrometry Proteomics.

Paolo Cifani1, Zhi Li2,3, Danmeng Luo1, Mark Grivainis2, Andrew M Intlekofer4, David Fenyö2,3, Alex Kentsis1,5.   

Abstract

Recent studies have revealed diverse amino acid, post-translational, and noncanonical modifications of proteins in diverse organisms and tissues. However, their unbiased detection and analysis remain hindered by technical limitations. Here, we present a spectral alignment method for the identification of protein modifications using high-resolution mass spectrometry proteomics. Termed SAMPEI for spectral alignment-based modified peptide identification, this open-source algorithm is designed for the discovery of functional protein and peptide signaling modifications, without prior knowledge of their identities. Using synthetic standards and controlled chemical labeling experiments, we demonstrate its high specificity and sensitivity for the discovery of substoichiometric protein modifications in complex cellular extracts. SAMPEI mapping of mouse macrophage differentiation revealed diverse post-translational protein modifications, including distinct forms of cysteine itaconatylation. SAMPEI's robust parametrization and versatility are expected to facilitate the discovery of biological modifications of diverse macromolecules. SAMPEI is implemented as a Python package and is available open-source from BioConda and GitHub (https://github.com/FenyoLab/SAMPEI).

Entities:  

Keywords:  SAMPEI; functional regulation; itaconate; macrophages; mass spectrometry; metabolism; post-translational chemical modification; signaling; software; spectral alignment

Mesh:

Year:  2021        PMID: 33749263      PMCID: PMC8341206          DOI: 10.1021/acs.jproteome.0c00638

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  68 in total

1.  Error tolerant searching of uninterpreted tandem mass spectrometry data.

Authors:  David M Creasy; John S Cottrell
Journal:  Proteomics       Date:  2002-10       Impact factor: 3.984

2.  High-throughput identification of proteins and unanticipated sequence modifications using a mass-based alignment algorithm for MS/MS de novo sequencing results.

Authors:  Brian C Searle; Surendra Dasari; Mark Turner; Ashok P Reddy; Dongseok Choi; Phillip A Wilmarth; Ashley L McCormack; Larry L David; Srinivasa R Nagalla
Journal:  Anal Chem       Date:  2004-04-15       Impact factor: 6.986

3.  More than 100,000 detectable peptide species elute in single shotgun proteomics runs but the majority is inaccessible to data-dependent LC-MS/MS.

Authors:  Annette Michalski; Juergen Cox; Matthias Mann
Journal:  J Proteome Res       Date:  2011-02-28       Impact factor: 4.466

Review 4.  Keap1 as the redox sensor of the antioxidant response.

Authors:  Virve Sihvola; Anna-Liisa Levonen
Journal:  Arch Biochem Biophys       Date:  2016-10-18       Impact factor: 4.013

5.  METLIN: A Technology Platform for Identifying Knowns and Unknowns.

Authors:  Carlos Guijas; J Rafael Montenegro-Burke; Xavier Domingo-Almenara; Amelia Palermo; Benedikt Warth; Gerrit Hermann; Gunda Koellensperger; Tao Huan; Winnie Uritboonthai; Aries E Aisporna; Dennis W Wolan; Mary E Spilker; H Paul Benton; Gary Siuzdak
Journal:  Anal Chem       Date:  2018-02-09       Impact factor: 6.986

6.  A mass-tolerant database search identifies a large proportion of unassigned spectra in shotgun proteomics as modified peptides.

Authors:  Joel M Chick; Deepak Kolippakkam; David P Nusinow; Bo Zhai; Ramin Rad; Edward L Huttlin; Steven P Gygi
Journal:  Nat Biotechnol       Date:  2015-06-15       Impact factor: 54.908

7.  Crux: rapid open source protein tandem mass spectrometry analysis.

Authors:  Sean McIlwain; Kaipo Tamura; Attila Kertesz-Farkas; Charles E Grant; Benjamin Diament; Barbara Frewen; J Jeffry Howbert; Michael R Hoopmann; Lukas Käll; Jimmy K Eng; Michael J MacCoss; William Stafford Noble
Journal:  J Proteome Res       Date:  2014-09-09       Impact factor: 4.466

8.  MSFragger: ultrafast and comprehensive peptide identification in mass spectrometry-based proteomics.

Authors:  Andy T Kong; Felipe V Leprevost; Dmitry M Avtonomov; Dattatreya Mellacheruvu; Alexey I Nesvizhskii
Journal:  Nat Methods       Date:  2017-04-10       Impact factor: 28.547

9.  Inflammatory Proteomic Network Analysis of Statin-treated and Lipopolysaccharide-activated Macrophages.

Authors:  Abu Hena M Kamal; Jayanta K Chakrabarty; S M Nashir Udden; Md Hasan Zaki; Saiful M Chowdhury
Journal:  Sci Rep       Date:  2018-01-09       Impact factor: 4.379

Review 10.  Non-enzymatic covalent modifications: a new link between metabolism and epigenetics.

Authors:  Qingfei Zheng; Igor Maksimovic; Akhil Upad; Yael David
Journal:  Protein Cell       Date:  2020-04-30       Impact factor: 14.870

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  1 in total

Review 1.  The role of itaconate in host defense and inflammation.

Authors:  Christian G Peace; Luke Aj O'Neill
Journal:  J Clin Invest       Date:  2022-01-18       Impact factor: 14.808

  1 in total

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