CanisOme - the protein signatures of Canis lupus familiaris diseases

Detalhes bibliográficos
Autor(a) principal: Fernandes, Mónica
Data de Publicação: 2016
Outros Autores: Rosa, Nuno, Esteves, Eduardo, Correia, Maria José, Arrais, Joel, Ribeiro, Paulo, Vala, Helena, Barros, Marlene
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.14/33548
Resumo: Although the applications of Proteomics in Human Biomedicine have been explored for some time now, in animal and veterinary research, the potential of this resource has just started to be explored, especially when companion animal health is considered. In the last years, knowledge on the Canis lupus familiaris proteome has been accumulating in the literature and a resource compiling all this information and critically reviewing it was lacking. This article presents such a resource for the first time. CanisOme is a database of all proteins identified in Canis lupus familiaris tissues, either in health or in disease, annotated with information on the proteins present on the sample and on the donors. This database reunites information on 549 proteins, associated with 63 dog diseases and 33 dog breeds. Examples of how this information may be used to produce new hypothesis on disease mechanisms is presented both through the functional analysis of the proteins quantified in canine cutaneous mast cell tumors and through the study of the interactome of C. lupus familiaris and Leishmania infantum. Therefore, the usefulness of CanisOme for researchers looking for protein biomarkers in dogs and interested in a comprehensive analysis of disease mechanisms is demonstrated. Biological significance: This paper presents CanisOme, a database of proteomic studies with relevant protein annotation, allowing the enlightenment of disease mechanisms and the discovery of novel disease biomarkers for C. lupus familiaris. This knowledge is important not only for the improvement of animal health but also for the use of dogs as models for human health studies.
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spelling CanisOme - the protein signatures of Canis lupus familiaris diseasesCanis biomarkersCanis DiseasOmeCanis LeishmaniosisCanisOmeAlthough the applications of Proteomics in Human Biomedicine have been explored for some time now, in animal and veterinary research, the potential of this resource has just started to be explored, especially when companion animal health is considered. In the last years, knowledge on the Canis lupus familiaris proteome has been accumulating in the literature and a resource compiling all this information and critically reviewing it was lacking. This article presents such a resource for the first time. CanisOme is a database of all proteins identified in Canis lupus familiaris tissues, either in health or in disease, annotated with information on the proteins present on the sample and on the donors. This database reunites information on 549 proteins, associated with 63 dog diseases and 33 dog breeds. Examples of how this information may be used to produce new hypothesis on disease mechanisms is presented both through the functional analysis of the proteins quantified in canine cutaneous mast cell tumors and through the study of the interactome of C. lupus familiaris and Leishmania infantum. Therefore, the usefulness of CanisOme for researchers looking for protein biomarkers in dogs and interested in a comprehensive analysis of disease mechanisms is demonstrated. Biological significance: This paper presents CanisOme, a database of proteomic studies with relevant protein annotation, allowing the enlightenment of disease mechanisms and the discovery of novel disease biomarkers for C. lupus familiaris. This knowledge is important not only for the improvement of animal health but also for the use of dogs as models for human health studies.Veritati - Repositório Institucional da Universidade Católica PortuguesaFernandes, MónicaRosa, NunoEsteves, EduardoCorreia, Maria JoséArrais, JoelRibeiro, PauloVala, HelenaBarros, Marlene2021-06-09T14:53:31Z2016-03-162016-03-16T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.14/33548eng1874-391910.1016/j.jprot.2016.01.0058495933963226776818000372692600019info: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:RCAAP2024-03-05T01:36:16Zoai:repositorio.ucp.pt:10400.14/33548Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:27:17.202707Repositório 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 CanisOme - the protein signatures of Canis lupus familiaris diseases
title CanisOme - the protein signatures of Canis lupus familiaris diseases
spellingShingle CanisOme - the protein signatures of Canis lupus familiaris diseases
Fernandes, Mónica
Canis biomarkers
Canis DiseasOme
Canis Leishmaniosis
CanisOme
title_short CanisOme - the protein signatures of Canis lupus familiaris diseases
title_full CanisOme - the protein signatures of Canis lupus familiaris diseases
title_fullStr CanisOme - the protein signatures of Canis lupus familiaris diseases
title_full_unstemmed CanisOme - the protein signatures of Canis lupus familiaris diseases
title_sort CanisOme - the protein signatures of Canis lupus familiaris diseases
author Fernandes, Mónica
author_facet Fernandes, Mónica
Rosa, Nuno
Esteves, Eduardo
Correia, Maria José
Arrais, Joel
Ribeiro, Paulo
Vala, Helena
Barros, Marlene
author_role author
author2 Rosa, Nuno
Esteves, Eduardo
Correia, Maria José
Arrais, Joel
Ribeiro, Paulo
Vala, Helena
Barros, Marlene
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Veritati - Repositório Institucional da Universidade Católica Portuguesa
dc.contributor.author.fl_str_mv Fernandes, Mónica
Rosa, Nuno
Esteves, Eduardo
Correia, Maria José
Arrais, Joel
Ribeiro, Paulo
Vala, Helena
Barros, Marlene
dc.subject.por.fl_str_mv Canis biomarkers
Canis DiseasOme
Canis Leishmaniosis
CanisOme
topic Canis biomarkers
Canis DiseasOme
Canis Leishmaniosis
CanisOme
description Although the applications of Proteomics in Human Biomedicine have been explored for some time now, in animal and veterinary research, the potential of this resource has just started to be explored, especially when companion animal health is considered. In the last years, knowledge on the Canis lupus familiaris proteome has been accumulating in the literature and a resource compiling all this information and critically reviewing it was lacking. This article presents such a resource for the first time. CanisOme is a database of all proteins identified in Canis lupus familiaris tissues, either in health or in disease, annotated with information on the proteins present on the sample and on the donors. This database reunites information on 549 proteins, associated with 63 dog diseases and 33 dog breeds. Examples of how this information may be used to produce new hypothesis on disease mechanisms is presented both through the functional analysis of the proteins quantified in canine cutaneous mast cell tumors and through the study of the interactome of C. lupus familiaris and Leishmania infantum. Therefore, the usefulness of CanisOme for researchers looking for protein biomarkers in dogs and interested in a comprehensive analysis of disease mechanisms is demonstrated. Biological significance: This paper presents CanisOme, a database of proteomic studies with relevant protein annotation, allowing the enlightenment of disease mechanisms and the discovery of novel disease biomarkers for C. lupus familiaris. This knowledge is important not only for the improvement of animal health but also for the use of dogs as models for human health studies.
publishDate 2016
dc.date.none.fl_str_mv 2016-03-16
2016-03-16T00:00:00Z
2021-06-09T14:53:31Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.14/33548
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dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv 1874-3919
10.1016/j.jprot.2016.01.005
84959339632
26776818
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