Identification of novel biomarkers candidates for Alzheimer’s disease by bioinformatic analysis

Detalhes bibliográficos
Autor(a) principal: Ferreira, Maria José Cardoso
Data de Publicação: 2021
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10773/33853
Resumo: Alzheimer's disease (AD) is the most common form of dementia worldwide, above all characterized by the emergence of senile plaques (SPs) and neurofibrillary tangles (NFTs) in the patients' brains. These two deposits are the main histopathological hallmarks of AD, and even though these are characterized by main components, like amyloid fibrils in SPs and hyperphosphorylated Tau protein in NFTs, the molecular composition of these lesions is not yet fully understood. In this work, a bioinformatics analysis of the SPs and NFTs proteomes obtained by literature review was carried out. 836 proteins were obtained for SPs and 623 proteins for NFTs, with 374 representing the common proteome. Functional analysis (Gene Ontology) of the proteomes associated with each histopathological characteristic, allowed to identify the molecular events underlying the formation of these lesions. Additionally, the analysis of proteins common to the proteomes allowed to unravel pathways that link both histopathological events and identify putative molecular targets for AD diagnostic or therapeutic intervention.
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spelling Identification of novel biomarkers candidates for Alzheimer’s disease by bioinformatic analysisSenile plaquesNeurofibrillary tanglesBioinformaticsBiomarkersAlzheimer’s diseaseAlzheimer's disease (AD) is the most common form of dementia worldwide, above all characterized by the emergence of senile plaques (SPs) and neurofibrillary tangles (NFTs) in the patients' brains. These two deposits are the main histopathological hallmarks of AD, and even though these are characterized by main components, like amyloid fibrils in SPs and hyperphosphorylated Tau protein in NFTs, the molecular composition of these lesions is not yet fully understood. In this work, a bioinformatics analysis of the SPs and NFTs proteomes obtained by literature review was carried out. 836 proteins were obtained for SPs and 623 proteins for NFTs, with 374 representing the common proteome. Functional analysis (Gene Ontology) of the proteomes associated with each histopathological characteristic, allowed to identify the molecular events underlying the formation of these lesions. Additionally, the analysis of proteins common to the proteomes allowed to unravel pathways that link both histopathological events and identify putative molecular targets for AD diagnostic or therapeutic intervention.A doença de Alzheimer (DA) é a forma de demência mais comum em todo o mundo, caracterizada sobretudo pelo aparecimento de placas senis (SPs) e tranças neurofibrilares (NFTs) no cérebro de pacientes. Estes dois depósitos são as principais características histopatológicas da DA e, embora sejam caracterizados por componentes principais, como fibrilas amilóides nas SPs e proteína Tau hiperfosforilada nas NFTs, a composição molecular destas lesões ainda não está totalmente desvendada. Neste trabalho, procedeu-se a uma análise bioinformática dos proteomas das SPs e das NFTs obtidos por revisão da literatura. Obtiveram-se 836 proteínas para as SPs e 623 proteínas para as NFTs, sendo que 374, representam o proteoma comum. Análise funcional (Gene Ontology) dos proteomas associados a cada característica histopatológica, permitiu identificar os eventos moleculares subjacentes à formação destas lesões. Adicionalmente, a análise das proteínas comuns aos proteomas permitiu desvendar vias que ligam ambos os eventos histopatológicos e identificar novos alvos moleculares putativos para diagnóstico de DA ou intervenção terapêutica.2023-07-27T00:00:00Z2021-07-21T00:00:00Z2021-07-21info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10773/33853engFerreira, Maria José Cardosoinfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T12:05:09Zoai:ria.ua.pt:10773/33853Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:05:11.932928Repositório 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 Identification of novel biomarkers candidates for Alzheimer’s disease by bioinformatic analysis
title Identification of novel biomarkers candidates for Alzheimer’s disease by bioinformatic analysis
spellingShingle Identification of novel biomarkers candidates for Alzheimer’s disease by bioinformatic analysis
Ferreira, Maria José Cardoso
Senile plaques
Neurofibrillary tangles
Bioinformatics
Biomarkers
Alzheimer’s disease
title_short Identification of novel biomarkers candidates for Alzheimer’s disease by bioinformatic analysis
title_full Identification of novel biomarkers candidates for Alzheimer’s disease by bioinformatic analysis
title_fullStr Identification of novel biomarkers candidates for Alzheimer’s disease by bioinformatic analysis
title_full_unstemmed Identification of novel biomarkers candidates for Alzheimer’s disease by bioinformatic analysis
title_sort Identification of novel biomarkers candidates for Alzheimer’s disease by bioinformatic analysis
author Ferreira, Maria José Cardoso
author_facet Ferreira, Maria José Cardoso
author_role author
dc.contributor.author.fl_str_mv Ferreira, Maria José Cardoso
dc.subject.por.fl_str_mv Senile plaques
Neurofibrillary tangles
Bioinformatics
Biomarkers
Alzheimer’s disease
topic Senile plaques
Neurofibrillary tangles
Bioinformatics
Biomarkers
Alzheimer’s disease
description Alzheimer's disease (AD) is the most common form of dementia worldwide, above all characterized by the emergence of senile plaques (SPs) and neurofibrillary tangles (NFTs) in the patients' brains. These two deposits are the main histopathological hallmarks of AD, and even though these are characterized by main components, like amyloid fibrils in SPs and hyperphosphorylated Tau protein in NFTs, the molecular composition of these lesions is not yet fully understood. In this work, a bioinformatics analysis of the SPs and NFTs proteomes obtained by literature review was carried out. 836 proteins were obtained for SPs and 623 proteins for NFTs, with 374 representing the common proteome. Functional analysis (Gene Ontology) of the proteomes associated with each histopathological characteristic, allowed to identify the molecular events underlying the formation of these lesions. Additionally, the analysis of proteins common to the proteomes allowed to unravel pathways that link both histopathological events and identify putative molecular targets for AD diagnostic or therapeutic intervention.
publishDate 2021
dc.date.none.fl_str_mv 2021-07-21T00:00:00Z
2021-07-21
2023-07-27T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10773/33853
url http://hdl.handle.net/10773/33853
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/embargoedAccess
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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
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