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Metabolomic consequences of TDP-43 aggregation by FT-ICR mass spectrometry : insights from yeast and human

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Resumo:Amyotrophic Lateral Sclerosis (ALS) is a progressive neurodegenerative disease broadly characterized by the presence of cytoplasmic TDP-43 inclusions. Although most cases have a sporadic origin, a minority are linked to genetic variants, among which are expansions in C9ORF72. ALS remains incurable, and current research is focused on finding robust molecular signatures to characterize disease mechanisms. In light of this, we investigated the metabolic alterations associated with TDP-43 aggregation in a controlled system and in human serum, using untargeted metabolomics with Fourier Transform Ion Cyclotron Resonance mass spectrometry (FT-ICR MS). In the Saccharomyces cerevisiae model, we introduced a plasmid encoding TDP-43, and its expression was confirmed by fluorescence microscopy. Different genetic backgrounds were used to evaluate how TDP-43 aggregation influenced the yeast metabolome. Besides the reference strain, we used strains with gene deletions linked to cellular processes disrupted in ALS, namely, cytoskeleton regulation (CAP1), vesicle trafficking (GLO3), and proteostasis (HSP82). Across strains, protein expression was mainly associated with dysregulation of carbohydrate and lipid metabolism. In addition, we profiled the serum metabolome of ALS patients to identify metabolic signatures specifically associated with the disease. In an attempt to standardize our workflow, we used NIST standard reference material (SRM 1950) as a control group. The differences between the groups were mainly reflected in the dysregulation of lipid metabolism. Furthermore, we compared the patients with and without the C9ORF72 mutation to identify possible metabolic differences between the groups, although no conclusive results were achieved. Finally, a metabolite level comparison between yeast and serum was performed to assess whether there were consistent alterations between the two organisms. Glycerophospholipids, prenol lipids, and fatty acyls were among the metabolites consistently identified in both analyses. Overall, this work established an integrative untargeted metabolomics workflow between yeast and human serum, though further interpretation remains limited by pathway mapping and lipid annotation ambiguity.
Autores principais:Jorge,Ana Carolina Ferreira dos Santos
Assunto:FT-ICR MS Untargeted Metabolomics TDP-43 aggregation Saccharomyces cerevisiae Amyotrophic Lateral Sclerosis
Ano:2026
País:Portugal
Tipo de documento:dissertação de mestrado
Tipo de acesso:acesso embargado
Instituição associada:Universidade de Lisboa
Idioma:inglês
Origem:Repositório da Universidade de Lisboa
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author Jorge,Ana Carolina Ferreira dos Santos
author_facet Jorge,Ana Carolina Ferreira dos Santos
author_role author
contributor_name_str_mv Cordeiro,Carlos Alberto Alves
Silva,Marta Sousa
Faculty of Sciences
Department of Chemistry and Biochemistry
Repositório Científico de Acesso Aberto da ULisboa
country_str PT
creators_json_txt [{\"Person.name\":\"Jorge,Ana Carolina Ferreira dos Santos\"}]
datacite.contributors.contributor.contributorName.fl_str_mv Cordeiro,Carlos Alberto Alves
Silva,Marta Sousa
Faculty of Sciences
Department of Chemistry and Biochemistry
Repositório Científico de Acesso Aberto da ULisboa
datacite.creators.creator.creatorName.fl_str_mv Jorge,Ana Carolina Ferreira dos Santos
datacite.date.Accepted.fl_str_mv 2026-01-01T00:00:00Z
datacite.date.available.fl_str_mv 2026-06-03T17:30:01Z
datacite.date.embargoed.fl_str_mv 2026-06-03T17:30:01Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_f1cf
datacite.subjects.subject.fl_str_mv FT-ICR MS
Untargeted Metabolomics
TDP-43 aggregation
Saccharomyces cerevisiae
Amyotrophic Lateral Sclerosis
datacite.titles.title.fl_str_mv Metabolomic consequences of TDP-43 aggregation by FT-ICR mass spectrometry : insights from yeast and human
dc.contributor.none.fl_str_mv Cordeiro,Carlos Alberto Alves
Silva,Marta Sousa
Faculty of Sciences
Department of Chemistry and Biochemistry
Repositório Científico de Acesso Aberto da ULisboa
dc.creator.none.fl_str_mv Jorge,Ana Carolina Ferreira dos Santos
dc.date.Accepted.fl_str_mv 2026-01-01T00:00:00Z
dc.date.available.fl_str_mv 2026-06-03T17:30:01Z
dc.date.embargoed.fl_str_mv 2026-06-03T17:30:01Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10400.5/118931
dc.language.none.fl_str_mv eng
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_f1cf
dc.subject.none.fl_str_mv FT-ICR MS
Untargeted Metabolomics
TDP-43 aggregation
Saccharomyces cerevisiae
Amyotrophic Lateral Sclerosis
dc.title.fl_str_mv Metabolomic consequences of TDP-43 aggregation by FT-ICR mass spectrometry : insights from yeast and human
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_bdcc
description Amyotrophic Lateral Sclerosis (ALS) is a progressive neurodegenerative disease broadly characterized by the presence of cytoplasmic TDP-43 inclusions. Although most cases have a sporadic origin, a minority are linked to genetic variants, among which are expansions in C9ORF72. ALS remains incurable, and current research is focused on finding robust molecular signatures to characterize disease mechanisms. In light of this, we investigated the metabolic alterations associated with TDP-43 aggregation in a controlled system and in human serum, using untargeted metabolomics with Fourier Transform Ion Cyclotron Resonance mass spectrometry (FT-ICR MS). In the Saccharomyces cerevisiae model, we introduced a plasmid encoding TDP-43, and its expression was confirmed by fluorescence microscopy. Different genetic backgrounds were used to evaluate how TDP-43 aggregation influenced the yeast metabolome. Besides the reference strain, we used strains with gene deletions linked to cellular processes disrupted in ALS, namely, cytoskeleton regulation (CAP1), vesicle trafficking (GLO3), and proteostasis (HSP82). Across strains, protein expression was mainly associated with dysregulation of carbohydrate and lipid metabolism. In addition, we profiled the serum metabolome of ALS patients to identify metabolic signatures specifically associated with the disease. In an attempt to standardize our workflow, we used NIST standard reference material (SRM 1950) as a control group. The differences between the groups were mainly reflected in the dysregulation of lipid metabolism. Furthermore, we compared the patients with and without the C9ORF72 mutation to identify possible metabolic differences between the groups, although no conclusive results were achieved. Finally, a metabolite level comparison between yeast and serum was performed to assess whether there were consistent alterations between the two organisms. Glycerophospholipids, prenol lipids, and fatty acyls were among the metabolites consistently identified in both analyses. Overall, this work established an integrative untargeted metabolomics workflow between yeast and human serum, though further interpretation remains limited by pathway mapping and lipid annotation ambiguity.
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identifier.url.fl_str_mv http://hdl.handle.net/10400.5/118931
inst_facet_str urn:organizationAcronym:ul{{{_:::_}}}Universidade de Lisboa
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person_str_mv Jorge,Ana Carolina Ferreira dos Santos
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repo_facet_str urn:repositoryAcronym:ul{{{_:::_}}}Repositório da Universidade de Lisboa
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spelling engenAmyotrophic Lateral Sclerosis (ALS) is a progressive neurodegenerative disease broadly characterized by the presence of cytoplasmic TDP-43 inclusions. Although most cases have a sporadic origin, a minority are linked to genetic variants, among which are expansions in C9ORF72. ALS remains incurable, and current research is focused on finding robust molecular signatures to characterize disease mechanisms. In light of this, we investigated the metabolic alterations associated with TDP-43 aggregation in a controlled system and in human serum, using untargeted metabolomics with Fourier Transform Ion Cyclotron Resonance mass spectrometry (FT-ICR MS). In the Saccharomyces cerevisiae model, we introduced a plasmid encoding TDP-43, and its expression was confirmed by fluorescence microscopy. Different genetic backgrounds were used to evaluate how TDP-43 aggregation influenced the yeast metabolome. Besides the reference strain, we used strains with gene deletions linked to cellular processes disrupted in ALS, namely, cytoskeleton regulation (CAP1), vesicle trafficking (GLO3), and proteostasis (HSP82). Across strains, protein expression was mainly associated with dysregulation of carbohydrate and lipid metabolism. In addition, we profiled the serum metabolome of ALS patients to identify metabolic signatures specifically associated with the disease. In an attempt to standardize our workflow, we used NIST standard reference material (SRM 1950) as a control group. The differences between the groups were mainly reflected in the dysregulation of lipid metabolism. Furthermore, we compared the patients with and without the C9ORF72 mutation to identify possible metabolic differences between the groups, although no conclusive results were achieved. Finally, a metabolite level comparison between yeast and serum was performed to assess whether there were consistent alterations between the two organisms. Glycerophospholipids, prenol lipids, and fatty acyls were among the metabolites consistently identified in both analyses. Overall, this work established an integrative untargeted metabolomics workflow between yeast and human serum, though further interpretation remains limited by pathway mapping and lipid annotation ambiguity.application/pdfenMetabolomic consequences of TDP-43 aggregation by FT-ICR mass spectrometry : insights from yeast and humanJorge,Ana Carolina Ferreira dos SantosCordeiro,Carlos Alberto AlvesSilva,Marta SousaFaculty of SciencesDepartment of Chemistry and BiochemistryHostingInstitutionOrganizationalRepositório Científico de Acesso Aberto da ULisboae-mailmailto:repositorio@ulisboa.ptrepositorio@ulisboa.pt2026-06-03T17:30:01Z20262026-01-01T00:00:00ZHandlehttp://hdl.handle.net/10400.5/118931http://purl.org/coar/access_right/c_f1cfembargoed accessFT-ICR MSUntargeted MetabolomicsTDP-43 aggregationSaccharomyces cerevisiaeAmyotrophic Lateral Sclerosis1706798 bytesliteraturehttp://purl.org/coar/resource_type/c_bdccmaster thesishttp://purl.org/coar/access_right/c_f1cfapplication/pdffulltexthttps://repositorio.ulisboa.pt/bitstreams/46178593-7e0b-4cd2-82cc-d86860e55683/download
spellingShingle Metabolomic consequences of TDP-43 aggregation by FT-ICR mass spectrometry : insights from yeast and human
Jorge,Ana Carolina Ferreira dos Santos
FT-ICR MS
Untargeted Metabolomics
TDP-43 aggregation
Saccharomyces cerevisiae
Amyotrophic Lateral Sclerosis
status SINGLETON
subject.fl_str_mv FT-ICR MS
Untargeted Metabolomics
TDP-43 aggregation
Saccharomyces cerevisiae
Amyotrophic Lateral Sclerosis
title Metabolomic consequences of TDP-43 aggregation by FT-ICR mass spectrometry : insights from yeast and human
title_full Metabolomic consequences of TDP-43 aggregation by FT-ICR mass spectrometry : insights from yeast and human
title_fullStr Metabolomic consequences of TDP-43 aggregation by FT-ICR mass spectrometry : insights from yeast and human
title_full_unstemmed Metabolomic consequences of TDP-43 aggregation by FT-ICR mass spectrometry : insights from yeast and human
title_short Metabolomic consequences of TDP-43 aggregation by FT-ICR mass spectrometry : insights from yeast and human
title_sort Metabolomic consequences of TDP-43 aggregation by FT-ICR mass spectrometry : insights from yeast and human
topic FT-ICR MS
Untargeted Metabolomics
TDP-43 aggregation
Saccharomyces cerevisiae
Amyotrophic Lateral Sclerosis
topic_facet FT-ICR MS
Untargeted Metabolomics
TDP-43 aggregation
Saccharomyces cerevisiae
Amyotrophic Lateral Sclerosis
url http://hdl.handle.net/10400.5/118931
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