Literature DB >> 28349438

Combinatorial Labeling Method for Improving Peptide Fragmentation in Mass Spectrometry.

Bhanuramanand Kuchibhotla1, Sankara Rao Kola1, Jagannadham V Medicherla1, Swamy V Cherukuvada1, Vishnu M Dhople2, Madhusudhana Rao Nalam3.   

Abstract

Annotation of peptide sequence from tandem mass spectra constitutes the central step of mass spectrometry-based proteomics. Peptide mass spectra are obtained upon gas-phase fragmentation. Identification of the protein from a set of experimental peptide spectral matches is usually referred as protein inference. Occurrence and intensity of these fragment ions in the MS/MS spectra are dependent on many factors such as amino acid composition, peptide basicity, activation mode, protease, etc. Particularly, chemical derivatizations of peptides were known to alter their fragmentation. In this study, the influence of acetylation, guanidinylation, and their combination on peptide fragmentation was assessed initially on a lipase (LipA) from Bacillus subtilis followed by a bovine six protein mix digest. The dual modification resulted in improved fragment ion occurrence and intensity changes, and this resulted in the equivalent representation of b- and y-type fragment ions in an ion trap MS/MS spectrum. The improved representation has allowed us to accurately annotate the peptide sequences de novo. Dual labeling has significantly reduced the false positive protein identifications in standard bovine six peptide digest. Our study suggests that the combinatorial labeling of peptides is a useful method to validate protein identifications for high confidence protein inference. Graphical Abstract ᅟ.

Entities:  

Keywords:  Acetylation; Chemical labeling; De novo sequencing; Guanidinylation; Lipase; Mass spectrometry; Peptide fragmentation

Mesh:

Substances:

Year:  2017        PMID: 28349438     DOI: 10.1007/s13361-017-1606-2

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


  58 in total

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Review 3.  Simple chemical tools to expand the range of proteomics applications.

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Authors:  Harald Barsnes; Ingvar Eidhammer; Lennart Martens
Journal:  Proteomics       Date:  2010-03       Impact factor: 3.984

5.  De novo sequencing methods in proteomics.

Authors:  Christopher Hughes; Bin Ma; Gilles A Lajoie
Journal:  Methods Mol Biol       Date:  2010

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Journal:  Methods Enzymol       Date:  1981       Impact factor: 1.600

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Journal:  J Mass Spectrom       Date:  1996-10       Impact factor: 1.982

8.  Cleavage N-terminal to proline: analysis of a database of peptide tandem mass spectra.

Authors:  Linda A Breci; David L Tabb; John R Yates; Vicki H Wysocki
Journal:  Anal Chem       Date:  2003-05-01       Impact factor: 6.986

9.  Effect of chemical modifications on peptide fragmentation behavior upon electron transfer induced dissociation.

Authors:  Marco L Hennrich; Paul J Boersema; Henk van den Toorn; Nikolai Mischerikow; Albert J R Heck; Shabaz Mohammed
Journal:  Anal Chem       Date:  2009-09-15       Impact factor: 6.986

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Journal:  J Am Soc Mass Spectrom       Date:  1992-05       Impact factor: 3.109

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Journal:  J Biomol Tech       Date:  2021-04

2.  Comparative Assessment of Quantification Methods for Tumor Tissue Phosphoproteomics.

Authors:  Yang Zhang; Benjamin Dreyer; Natalia Govorukhina; Alexander M Heberle; Saša Končarević; Christoph Krisp; Christiane A Opitz; Pauline Pfänder; Rainer Bischoff; Hartmut Schlüter; Marcel Kwiatkowski; Kathrin Thedieck; Peter L Horvatovich
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