Mass spectrometry-based methodologies for targeted and untargeted identification of protein covalent adducts (Adductomics)

Detalhes bibliográficos
Autor(a) principal: Nunes, João
Data de Publicação: 2019
Outros Autores: Charneira, Catarina, Morello, Judit, Rodrigues, João, Pereira, Sofia A., Antunes, Alexandra M.M.
Tipo de documento: Outros
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://doi.org/10.3390/ht8020009
Resumo: Protein covalent adducts formed upon exposure to reactive (mainly electrophilic) chemicals may lead to the development of a wide range of deleterious health outcomes. Therefore, the identification of protein covalent adducts constitutes a huge opportunity for a better understanding of events underlying diseases and for the development of biomarkers which may constitute effective tools for disease diagnosis/prognosis, for the application of personalized medicine approaches and for accurately assessing human exposure to chemical toxicants. The currently available mass spectrometry (MS)-based methodologies, are clearly the most suitable for the analysis of protein covalent modifications, providing accuracy, sensitivity, unbiased identification of the modified residue and conjugates along with quantitative information. However, despite the huge technological advances in MS instrumentation and bioinformatics tools, the identification of low abundant protein covalent adducts is still challenging. This review is aimed at summarizing the MS-based methodologies currently used for the identification of protein covalent adducts and the strategies developed to overcome the analytical challenges, involving not only sample pre-treatment procedures but also distinct MS and data analysis approaches.
id RCAP_9bde5d680158a902ddb8cb294b9ddca6
oai_identifier_str oai:run.unl.pt:10362/76648
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Mass spectrometry-based methodologies for targeted and untargeted identification of protein covalent adducts (Adductomics)Current status and challengesAdductomicsMass spectrometryProtein covalent adductsBiotechnologyBioengineeringBiochemistryBiomedical EngineeringSDG 3 - Good Health and Well-beingProtein covalent adducts formed upon exposure to reactive (mainly electrophilic) chemicals may lead to the development of a wide range of deleterious health outcomes. Therefore, the identification of protein covalent adducts constitutes a huge opportunity for a better understanding of events underlying diseases and for the development of biomarkers which may constitute effective tools for disease diagnosis/prognosis, for the application of personalized medicine approaches and for accurately assessing human exposure to chemical toxicants. The currently available mass spectrometry (MS)-based methodologies, are clearly the most suitable for the analysis of protein covalent modifications, providing accuracy, sensitivity, unbiased identification of the modified residue and conjugates along with quantitative information. However, despite the huge technological advances in MS instrumentation and bioinformatics tools, the identification of low abundant protein covalent adducts is still challenging. This review is aimed at summarizing the MS-based methodologies currently used for the identification of protein covalent adducts and the strategies developed to overcome the analytical challenges, involving not only sample pre-treatment procedures but also distinct MS and data analysis approaches.NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)Centro de Estudos de Doenças Crónicas (CEDOC)RUNNunes, JoãoCharneira, CatarinaMorello, JuditRodrigues, JoãoPereira, Sofia A.Antunes, Alexandra M.M.2019-07-26T22:41:56Z2019-06-012019-06-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/otherapplication/pdfhttps://doi.org/10.3390/ht8020009eng2571-5135PURE: 13973146http://www.scopus.com/inward/record.url?scp=85067859448&partnerID=8YFLogxKhttps://doi.org/10.3390/ht8020009info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-05-22T17:40:28Zoai:run.unl.pt:10362/76648Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-22T17:40:28Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Mass spectrometry-based methodologies for targeted and untargeted identification of protein covalent adducts (Adductomics)
Current status and challenges
title Mass spectrometry-based methodologies for targeted and untargeted identification of protein covalent adducts (Adductomics)
spellingShingle Mass spectrometry-based methodologies for targeted and untargeted identification of protein covalent adducts (Adductomics)
Nunes, João
Adductomics
Mass spectrometry
Protein covalent adducts
Biotechnology
Bioengineering
Biochemistry
Biomedical Engineering
SDG 3 - Good Health and Well-being
title_short Mass spectrometry-based methodologies for targeted and untargeted identification of protein covalent adducts (Adductomics)
title_full Mass spectrometry-based methodologies for targeted and untargeted identification of protein covalent adducts (Adductomics)
title_fullStr Mass spectrometry-based methodologies for targeted and untargeted identification of protein covalent adducts (Adductomics)
title_full_unstemmed Mass spectrometry-based methodologies for targeted and untargeted identification of protein covalent adducts (Adductomics)
title_sort Mass spectrometry-based methodologies for targeted and untargeted identification of protein covalent adducts (Adductomics)
author Nunes, João
author_facet Nunes, João
Charneira, Catarina
Morello, Judit
Rodrigues, João
Pereira, Sofia A.
Antunes, Alexandra M.M.
author_role author
author2 Charneira, Catarina
Morello, Judit
Rodrigues, João
Pereira, Sofia A.
Antunes, Alexandra M.M.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
Centro de Estudos de Doenças Crónicas (CEDOC)
RUN
dc.contributor.author.fl_str_mv Nunes, João
Charneira, Catarina
Morello, Judit
Rodrigues, João
Pereira, Sofia A.
Antunes, Alexandra M.M.
dc.subject.por.fl_str_mv Adductomics
Mass spectrometry
Protein covalent adducts
Biotechnology
Bioengineering
Biochemistry
Biomedical Engineering
SDG 3 - Good Health and Well-being
topic Adductomics
Mass spectrometry
Protein covalent adducts
Biotechnology
Bioengineering
Biochemistry
Biomedical Engineering
SDG 3 - Good Health and Well-being
description Protein covalent adducts formed upon exposure to reactive (mainly electrophilic) chemicals may lead to the development of a wide range of deleterious health outcomes. Therefore, the identification of protein covalent adducts constitutes a huge opportunity for a better understanding of events underlying diseases and for the development of biomarkers which may constitute effective tools for disease diagnosis/prognosis, for the application of personalized medicine approaches and for accurately assessing human exposure to chemical toxicants. The currently available mass spectrometry (MS)-based methodologies, are clearly the most suitable for the analysis of protein covalent modifications, providing accuracy, sensitivity, unbiased identification of the modified residue and conjugates along with quantitative information. However, despite the huge technological advances in MS instrumentation and bioinformatics tools, the identification of low abundant protein covalent adducts is still challenging. This review is aimed at summarizing the MS-based methodologies currently used for the identification of protein covalent adducts and the strategies developed to overcome the analytical challenges, involving not only sample pre-treatment procedures but also distinct MS and data analysis approaches.
publishDate 2019
dc.date.none.fl_str_mv 2019-07-26T22:41:56Z
2019-06-01
2019-06-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/other
format other
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://doi.org/10.3390/ht8020009
url https://doi.org/10.3390/ht8020009
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2571-5135
PURE: 13973146
http://www.scopus.com/inward/record.url?scp=85067859448&partnerID=8YFLogxK
https://doi.org/10.3390/ht8020009
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv mluisa.alvim@gmail.com
_version_ 1817545703138787328