PTM-Shepherd: Analysis and Summarization of Post-Translational and Chemical Modifications From Open Search Results

Open searching has proven to be an effective strategy for identifying both known and unknown modifications in shotgun proteomics experiments. Rather than being limited to a small set of user-specified modifications, open searches identify peptides with any mass shift that may correspond to a single...

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Published inMolecular & cellular proteomics Vol. 20; p. 100018
Main Authors Geiszler, Daniel J., Kong, Andy T., Avtonomov, Dmitry M., Yu, Fengchao, Leprevost, Felipe da Veiga, Nesvizhskii, Alexey I.
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 2021
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Online AccessGet full text
ISSN1535-9476
1535-9484
1535-9484
DOI10.1074/mcp.TIR120.002216

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Abstract Open searching has proven to be an effective strategy for identifying both known and unknown modifications in shotgun proteomics experiments. Rather than being limited to a small set of user-specified modifications, open searches identify peptides with any mass shift that may correspond to a single modification or a combination of several modifications. Here we present PTM-Shepherd, a bioinformatics tool that automates characterization of post-translational modification profiles detected in open searches based on attributes, such as amino acid localization, fragmentation spectra similarity, retention time shifts, and relative modification rates. PTM-Shepherd can also perform multiexperiment comparisons for studying changes in modification profiles, e.g., in data generated in different laboratories or under different conditions. We demonstrate how PTM-Shepherd improves the analysis of data from formalin-fixed and paraffin-embedded samples, detects extreme underalkylation of cysteine in some data sets, discovers an artifactual modification introduced during peptide synthesis, and uncovers site-specific biases in sample preparation artifacts in a multicenter proteomics profiling study. [Display omitted] •Comprehensive open-search annotation.•Sensitive modification detection.•Identification of batch effects.•Novel post-translational modification discovery. Proteomics open searches require extensive post hoc analysis to be useful. PTM-Shepherd provides comprehensive open search annotation from peptide-spectrum match lists, including modification ID, localization, and effects on spectral similarity (SS) and retention time (RT). These features can be used to find batch effect and new post-translational modifications, and inform subsequent closed searches. It is available as a standalone JAR and as part of the FragPipe suite.
AbstractList Open searching has proven to be an effective strategy for identifying both known and unknown modifications in shotgun proteomics experiments. Rather than being limited to a small set of user-specified modifications, open searches identify peptides with any mass shift that may correspond to a single modification or a combination of several modifications. Here we present PTM-Shepherd, a bioinformatics tool that automates characterization of PTM profiles detected in open searches based on attributes such as amino acid localization, fragmentation spectra similarity, retention time shifts, and relative modification rates. PTM-Shepherd can also perform multi-experiment comparisons for studying changes in modification profiles, e.g. in data generated in different laboratories or under different conditions. We demonstrate how PTM-Shepherd improves the analysis of data from formalin-fixed paraffin-embedded samples, detects extreme underalkylation of cysteine in some datasets, discovers an artefactual modification introduced during peptide synthesis, and uncovers site-specific biases in sample preparation artifacts in a multi-center proteomics profiling study.
Open searching has proven to be an effective strategy for identifying both known and unknown modifications in shotgun proteomics experiments. Rather than being limited to a small set of user-specified modifications, open searches identify peptides with any mass shift that may correspond to a single modification or a combination of several modifications. Here we present PTM-Shepherd, a bioinformatics tool that automates characterization of post-translational modification profiles detected in open searches based on attributes, such as amino acid localization, fragmentation spectra similarity, retention time shifts, and relative modification rates. PTM-Shepherd can also perform multiexperiment comparisons for studying changes in modification profiles, e.g., in data generated in different laboratories or under different conditions. We demonstrate how PTM-Shepherd improves the analysis of data from formalin-fixed and paraffin-embedded samples, detects extreme underalkylation of cysteine in some data sets, discovers an artifactual modification introduced during peptide synthesis, and uncovers site-specific biases in sample preparation artifacts in a multicenter proteomics profiling study.Open searching has proven to be an effective strategy for identifying both known and unknown modifications in shotgun proteomics experiments. Rather than being limited to a small set of user-specified modifications, open searches identify peptides with any mass shift that may correspond to a single modification or a combination of several modifications. Here we present PTM-Shepherd, a bioinformatics tool that automates characterization of post-translational modification profiles detected in open searches based on attributes, such as amino acid localization, fragmentation spectra similarity, retention time shifts, and relative modification rates. PTM-Shepherd can also perform multiexperiment comparisons for studying changes in modification profiles, e.g., in data generated in different laboratories or under different conditions. We demonstrate how PTM-Shepherd improves the analysis of data from formalin-fixed and paraffin-embedded samples, detects extreme underalkylation of cysteine in some data sets, discovers an artifactual modification introduced during peptide synthesis, and uncovers site-specific biases in sample preparation artifacts in a multicenter proteomics profiling study.
Open searching has proven to be an effective strategy for identifying both known and unknown modifications in shotgun proteomics experiments. Rather than being limited to a small set of user-specified modifications, open searches identify peptides with any mass shift that may correspond to a single modification or a combination of several modifications. Here we present PTM-Shepherd, a bioinformatics tool that automates characterization of post-translational modification profiles detected in open searches based on attributes, such as amino acid localization, fragmentation spectra similarity, retention time shifts, and relative modification rates. PTM-Shepherd can also perform multiexperiment comparisons for studying changes in modification profiles, e.g., in data generated in different laboratories or under different conditions. We demonstrate how PTM-Shepherd improves the analysis of data from formalin-fixed and paraffin-embedded samples, detects extreme underalkylation of cysteine in some data sets, discovers an artifactual modification introduced during peptide synthesis, and uncovers site-specific biases in sample preparation artifacts in a multicenter proteomics profiling study. [Display omitted] •Comprehensive open-search annotation.•Sensitive modification detection.•Identification of batch effects.•Novel post-translational modification discovery. Proteomics open searches require extensive post hoc analysis to be useful. PTM-Shepherd provides comprehensive open search annotation from peptide-spectrum match lists, including modification ID, localization, and effects on spectral similarity (SS) and retention time (RT). These features can be used to find batch effect and new post-translational modifications, and inform subsequent closed searches. It is available as a standalone JAR and as part of the FragPipe suite.
ArticleNumber 100018
Author Kong, Andy T.
Nesvizhskii, Alexey I.
Geiszler, Daniel J.
Avtonomov, Dmitry M.
Leprevost, Felipe da Veiga
Yu, Fengchao
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  givenname: Fengchao
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  surname: Nesvizhskii
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  email: nesvi@med.umich.edu
  organization: Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA
BackLink https://www.ncbi.nlm.nih.gov/pubmed/33262148$$D View this record in MEDLINE/PubMed
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ContentType Journal Article
Copyright 2020 The Authors
Published under license by The American Society for Biochemistry and Molecular Biology, Inc.
Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.
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Keywords SS
CAA
RT
MS
BI
IAA
PSM
UCEC
Open searching, PTM, Post-translational modification, Mass-tolerant search, Localization, Spectral similarity, Retention time
LUAD
PTMs
EGS
QC
FDR
FFPE
JHU
SNR
PNNL
TMT
CPTAC
CCRCC
Tandem Mass Spectrometry
Post-translational modifications
Protein Identification
Bioinformatics
Quality control and metrics
Language English
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Snippet Open searching has proven to be an effective strategy for identifying both known and unknown modifications in shotgun proteomics experiments. Rather than being...
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SubjectTerms Open searching, PTM, Post-translational modification, Mass-tolerant search, Localization, Spectral similarity, Retention time
Title PTM-Shepherd: Analysis and Summarization of Post-Translational and Chemical Modifications From Open Search Results
URI https://dx.doi.org/10.1074/mcp.TIR120.002216
https://www.ncbi.nlm.nih.gov/pubmed/33262148
https://www.proquest.com/docview/2488559163
Volume 20
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