Publicação
Reconstruction of metabolic models for liver cancer cells
| Resumo: | The liver is one of the largest organs of the adult body and most of its tissue is formed by hepatocyte cells, the main site of the metabolic conversions underlying its diverse physiological functions. Hepatocellular carcinoma is one of the most important human cancers. Genome-Scale Metabolic Models (GSMMs), mathematical representations of the cell metabolism in different organisms including humans, are useful tools to simulate metabolic phenotypes and understand metabolic diseases. In the last years, a few algorithms have been developed to generate tissue-specific metabolic models that allow the simulation of phenotypes for distinct cell types/tissues. This work based on general template GSMMs, which are integrated with available omics data. In this work, we propose to develop a pipeline for the systematic evaluation of these algorithms in the creation of models for regular hepatocytes and cancer cell lines, addressing the comparison of the final models obtained. |
|---|---|
| Autores principais: | Ferreira, Jorge |
| Outros Autores: | Correia, Sara Alexandra Gomes; Rocha, Miguel |
| Assunto: | Tissue-specific genome-scale metabolic models Liver metabolism Hepatocellular carcinoma |
| Ano: | 2016 |
| País: | Portugal |
| Tipo de documento: | comunicação em conferência |
| Tipo de acesso: | acesso restrito |
| Instituição associada: | Universidade do Minho |
| Idioma: | inglês |
| Origem: | RepositóriUM - Universidade do Minho |
| _version_ | 1866876615955316736 |
|---|---|
| author | Ferreira, Jorge |
| author2 | Correia, Sara Alexandra Gomes Rocha, Miguel |
| author2_role | author author |
| author_facet | Ferreira, Jorge Correia, Sara Alexandra Gomes Rocha, Miguel |
| author_role | author |
| contributor_name_str_mv | Universidade do Minho |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Ferreira, Jorge\"},{\"Person.name\":\"Correia, Sara Alexandra Gomes\"},{\"Person.name\":\"Rocha, Miguel\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Universidade do Minho |
| datacite.creators.creator.creatorName.fl_str_mv | Ferreira, Jorge Correia, Sara Alexandra Gomes Rocha, Miguel |
| datacite.date.Accepted.fl_str_mv | 2016-06-01T00:00:00Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_16ec |
| datacite.subjects.subject.fl_str_mv | Tissue-specific genome-scale metabolic models Liver metabolism Hepatocellular carcinoma |
| datacite.titles.title.fl_str_mv | Reconstruction of metabolic models for liver cancer cells |
| dc.contributor.none.fl_str_mv | Universidade do Minho |
| dc.creator.none.fl_str_mv | Ferreira, Jorge Correia, Sara Alexandra Gomes Rocha, Miguel |
| dc.date.Accepted.fl_str_mv | 2016-06-01T00:00:00Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | https://hdl.handle.net/1822/44785 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | Springer International Publishing AG |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_16ec |
| dc.subject.none.fl_str_mv | Tissue-specific genome-scale metabolic models Liver metabolism Hepatocellular carcinoma |
| dc.title.fl_str_mv | Reconstruction of metabolic models for liver cancer cells |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_5794 |
| description | The liver is one of the largest organs of the adult body and most of its tissue is formed by hepatocyte cells, the main site of the metabolic conversions underlying its diverse physiological functions. Hepatocellular carcinoma is one of the most important human cancers. Genome-Scale Metabolic Models (GSMMs), mathematical representations of the cell metabolism in different organisms including humans, are useful tools to simulate metabolic phenotypes and understand metabolic diseases. In the last years, a few algorithms have been developed to generate tissue-specific metabolic models that allow the simulation of phenotypes for distinct cell types/tissues. This work based on general template GSMMs, which are integrated with available omics data. In this work, we propose to develop a pipeline for the systematic evaluation of these algorithms in the creation of models for regular hepatocytes and cancer cell lines, addressing the comparison of the final models obtained. |
| dirty | 0 |
| eu_rights_str_mv | restrictedAccess |
| format | conferencePaper |
| fulltext.url.fl_str_mv | https://prod-dspace.uminho.pt/bitstreams/2761cdcb-42b4-41b7-a94b-b70920c18806/download |
| id | rum_873fb4eaa0378e85db9e437d4da9fc01 |
| identifier.url.fl_str_mv | https://hdl.handle.net/1822/44785 |
| instacron_str | repositorium |
| institution | Universidade do Minho |
| instname_str | Universidade do Minho |
| language | eng |
| network_acronym_str | rum |
| network_name_str | RepositóriUM - Universidade do Minho |
| oai_identifier_str | oai:repositorium.uminho.pt:1822/44785 |
| organization_str_mv | urn:organizationAcronym:repositorium |
| person_str_mv | Ferreira, Jorge Correia, Sara Alexandra Gomes Rocha, Miguel |
| publishDate | 2016 |
| publisher.none.fl_str_mv | Springer International Publishing AG |
| reponame_str | RepositóriUM - Universidade do Minho |
| repository_id_str | urn:repositoryAcronym:rum |
| service_str_mv | urn:repositoryAcronym:rum |
| spelling | engSpringer International Publishing AGporThe liver is one of the largest organs of the adult body and most of its tissue is formed by hepatocyte cells, the main site of the metabolic conversions underlying its diverse physiological functions. Hepatocellular carcinoma is one of the most important human cancers. Genome-Scale Metabolic Models (GSMMs), mathematical representations of the cell metabolism in different organisms including humans, are useful tools to simulate metabolic phenotypes and understand metabolic diseases. In the last years, a few algorithms have been developed to generate tissue-specific metabolic models that allow the simulation of phenotypes for distinct cell types/tissues. This work based on general template GSMMs, which are integrated with available omics data. In this work, we propose to develop a pipeline for the systematic evaluation of these algorithms in the creation of models for regular hepatocytes and cancer cell lines, addressing the comparison of the final models obtained.application/pdfporReconstruction of metabolic models for liver cancer cellsFerreira, JorgeCorreia, Sara Alexandra GomesRocha, MiguelHostingInstitutionOrganizationalUniversidade do Minhoe-mailmailto:repositorium@usdb.uminho.ptrepositorium@usdb.uminho.ptISBNIsPartOf978-3-319-40125-6ISSNIsPartOf2194-5357DOIIsPartOf10.1007/978-3-319-40126-3_222016-062017-02-04T17:17:51Z2016-06-01T00:00:00ZHandlehttps://hdl.handle.net/1822/44785http://purl.org/coar/access_right/c_16ecrestricted accessTissue-specific genome-scale metabolic modelsLiver metabolismHepatocellular carcinoma220383 bytesother research producthttp://purl.org/coar/resource_type/c_5794conference paperhttp://purl.org/coar/access_right/c_16ecapplication/pdffulltexthttps://prod-dspace.uminho.pt/bitstreams/2761cdcb-42b4-41b7-a94b-b70920c18806/download |
| spellingShingle | Reconstruction of metabolic models for liver cancer cells Ferreira, Jorge Tissue-specific genome-scale metabolic models Liver metabolism Hepatocellular carcinoma |
| status | SINGLETON |
| subject.fl_str_mv | Tissue-specific genome-scale metabolic models Liver metabolism Hepatocellular carcinoma |
| title | Reconstruction of metabolic models for liver cancer cells |
| title_full | Reconstruction of metabolic models for liver cancer cells |
| title_fullStr | Reconstruction of metabolic models for liver cancer cells |
| title_full_unstemmed | Reconstruction of metabolic models for liver cancer cells |
| title_short | Reconstruction of metabolic models for liver cancer cells |
| title_sort | Reconstruction of metabolic models for liver cancer cells |
| topic | Tissue-specific genome-scale metabolic models Liver metabolism Hepatocellular carcinoma |
| topic_facet | Tissue-specific genome-scale metabolic models Liver metabolism Hepatocellular carcinoma |
| url | https://hdl.handle.net/1822/44785 |
| visible | 1 |