High-throughput mass spectrometry and bioinformatics analysis of breast cancer proteomic data
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da FIOCRUZ (ARCA) |
Texto Completo: | https://www.arca.fiocruz.br/handle/icict/34613 |
Resumo: | Universidade Federal do Paraná. Departamento de Genética. Curitiba, PR, Brasil. |
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Gomig, Talita Helen BombardelliCavalli, Iglenir JoãoSouza, Ricardo Lehtonen Rodrigues deLucena, Aline Castro RodriguesBatista, MichelMachado, Kelly CavalcantiMarchini, Fabrício KleryntonMarchi, Fabio AlbuquerqueLima, Rubens SilveiraUrban, Cícero de AndradeCavalli, Luciane ReginaRibeiro, Enilze Maria de Souza Fonseca2019-08-05T18:53:58Z2019-08-05T18:53:58Z2019GOMIG, Talita Helen Bombardelli et al. High-throughput mass spectrometry and bioinformatics analysis of breast câncer proteomic data. Data in Brief, v. 25, p. 1-5, 2019.2352-3409https://www.arca.fiocruz.br/handle/icict/3461310.1016/j.dib.2019.1041252352-3409porElsevierTecido Mamário Não Tumoral ContralateralBreast NeoplasmsBioinformaticsComputational BiologyMass SpectrometryContralateral Non-Tumor Breast TissueNeoplasias de la MamaBiología ComputacionalEspectrometría de MasasNeoplasias da MamaBiologia ComputacionalEspectrometria de MassasHigh-throughput mass spectrometry and bioinformatics analysis of breast cancer proteomic datainfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleUniversidade Federal do Paraná. Departamento de Genética. Curitiba, PR, Brasil.Universidade Federal do Paraná. Departamento de Genética. Curitiba, PR, Brasil.Fundação Oswaldo Cruz. Instituto Carlos Chagas. Laboratório de Genômica Funcional. Curitiba, PR, Brasil.Fundação Oswaldo Cruz. Instituto Carlos Chagas. Laboratório de Genômica Funcional. Curitiba, PR, Brasil / Fundação Oswaldo Cruz. Instituto Carlos Chagas. Mass Spectrometry Facility - RPT02H. Curitiba, PR, Brasil.Fundação Oswaldo Cruz. Instituto Carlos Chagas. Mass Spectrometry Facility - RPT02H. Curitiba, PR, Brasil.Fundação Oswaldo Cruz. Instituto Carlos Chagas. Laboratório de Genômica Funcional. Curitiba, PR, Brasil / Fundação Oswaldo Cruz. Instituto Carlos Chagas. Mass Spectrometry Facility - RPT02H. Curitiba, PR, Brasil.International Research Center and A.C. Camargo Cancer Center. São Paulo, SP, Brasil.Hospital Nossa Senhora das Graças. Centro de Doenças da Mama. Curitiba, PR, Brasil.Hospital Nossa Senhora das Graças. Centro de Doenças da Mama. Curitiba, PR, Brasil.Instituto de Pesquisa Pelé Pequeno Príncipe. Curitiba, PR, Brasil. / Lombardi Comprehensive Cancer Center. Georgetown University. Washington D.C., USA.Universidade Federal do Paraná. Departamento de Genética. Curitiba, PR, Brasil.Data present here describe a comparative proteomic analysis among the malignant [primary breast tumor (PT) and axillary metastatic lymph nodes (LN)], and the non-tumor [contralateral (NCT) and adjacent (ANT)] breast tissues. Protein identification and quantification were performed through label-free mass spectrometry using a nano-liquid chromatography coupled to an electrospray ionization-mass spectrometry (nLC-ESI-MS/MS). The mass spectrometry proteomic data have been deposited to the ProteomeXchange Consortium via PRIDE partner repository with the dataset identifier PXD012431. A total of 462 differentially expressed proteins was identified among these tissues and was analyzed in six groups' comparisons (named NCTxANT, PTxNCT, PTxANT, LNxNCT, LNxANT and PTxLN). Proteins at 1.5 log2 fold change were submitted to the Ingenuity® Pathway Analysis (IPA) software version 2.3 (QIAGEN Inc.) to identify biological pathways, disease and function annotation, and interaction networks related to cancer biology. The detailed data present here provides information about the proteome alterations and their role on breast tumorigenesis. This information can lead to novel biological insights on cancer research. For further interpretation of these data, please see our research article 'Quantitative label-free mass spectrometry using contralateral and adjacent breast tissues reveal differentially expressed proteins and their predicted impacts on pathways and cellular functions in breast cancer.info:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; charset=utf-83084https://www.arca.fiocruz.br/bitstream/icict/34613/1/license.txt783568c2893d2e25a99990b126be1772MD51ORIGINALS2352340919304792-main.pdfS2352340919304792-main.pdfapplication/pdf682363https://www.arca.fiocruz.br/bitstream/icict/34613/2/S2352340919304792-main.pdff56c0dc497a7f45ba4247e43ea03c4f5MD52TEXTS2352340919304792-main.pdf.txtS2352340919304792-main.pdf.txtExtracted 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dc.title.pt_BR.fl_str_mv |
High-throughput mass spectrometry and bioinformatics analysis of breast cancer proteomic data |
title |
High-throughput mass spectrometry and bioinformatics analysis of breast cancer proteomic data |
spellingShingle |
High-throughput mass spectrometry and bioinformatics analysis of breast cancer proteomic data Gomig, Talita Helen Bombardelli Tecido Mamário Não Tumoral Contralateral Breast Neoplasms Bioinformatics Computational Biology Mass Spectrometry Contralateral Non-Tumor Breast Tissue Neoplasias de la Mama Biología Computacional Espectrometría de Masas Neoplasias da Mama Biologia Computacional Espectrometria de Massas |
title_short |
High-throughput mass spectrometry and bioinformatics analysis of breast cancer proteomic data |
title_full |
High-throughput mass spectrometry and bioinformatics analysis of breast cancer proteomic data |
title_fullStr |
High-throughput mass spectrometry and bioinformatics analysis of breast cancer proteomic data |
title_full_unstemmed |
High-throughput mass spectrometry and bioinformatics analysis of breast cancer proteomic data |
title_sort |
High-throughput mass spectrometry and bioinformatics analysis of breast cancer proteomic data |
author |
Gomig, Talita Helen Bombardelli |
author_facet |
Gomig, Talita Helen Bombardelli Cavalli, Iglenir João Souza, Ricardo Lehtonen Rodrigues de Lucena, Aline Castro Rodrigues Batista, Michel Machado, Kelly Cavalcanti Marchini, Fabrício Klerynton Marchi, Fabio Albuquerque Lima, Rubens Silveira Urban, Cícero de Andrade Cavalli, Luciane Regina Ribeiro, Enilze Maria de Souza Fonseca |
author_role |
author |
author2 |
Cavalli, Iglenir João Souza, Ricardo Lehtonen Rodrigues de Lucena, Aline Castro Rodrigues Batista, Michel Machado, Kelly Cavalcanti Marchini, Fabrício Klerynton Marchi, Fabio Albuquerque Lima, Rubens Silveira Urban, Cícero de Andrade Cavalli, Luciane Regina Ribeiro, Enilze Maria de Souza Fonseca |
author2_role |
author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Gomig, Talita Helen Bombardelli Cavalli, Iglenir João Souza, Ricardo Lehtonen Rodrigues de Lucena, Aline Castro Rodrigues Batista, Michel Machado, Kelly Cavalcanti Marchini, Fabrício Klerynton Marchi, Fabio Albuquerque Lima, Rubens Silveira Urban, Cícero de Andrade Cavalli, Luciane Regina Ribeiro, Enilze Maria de Souza Fonseca |
dc.subject.other.pt_BR.fl_str_mv |
Tecido Mamário Não Tumoral Contralateral |
topic |
Tecido Mamário Não Tumoral Contralateral Breast Neoplasms Bioinformatics Computational Biology Mass Spectrometry Contralateral Non-Tumor Breast Tissue Neoplasias de la Mama Biología Computacional Espectrometría de Masas Neoplasias da Mama Biologia Computacional Espectrometria de Massas |
dc.subject.en.pt_BR.fl_str_mv |
Breast Neoplasms Bioinformatics Computational Biology Mass Spectrometry Contralateral Non-Tumor Breast Tissue |
dc.subject.es.pt_BR.fl_str_mv |
Neoplasias de la Mama Biología Computacional Espectrometría de Masas |
dc.subject.decs.pt_BR.fl_str_mv |
Neoplasias da Mama Biologia Computacional Espectrometria de Massas |
description |
Universidade Federal do Paraná. Departamento de Genética. Curitiba, PR, Brasil. |
publishDate |
2019 |
dc.date.accessioned.fl_str_mv |
2019-08-05T18:53:58Z |
dc.date.available.fl_str_mv |
2019-08-05T18:53:58Z |
dc.date.issued.fl_str_mv |
2019 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
GOMIG, Talita Helen Bombardelli et al. High-throughput mass spectrometry and bioinformatics analysis of breast câncer proteomic data. Data in Brief, v. 25, p. 1-5, 2019. |
dc.identifier.uri.fl_str_mv |
https://www.arca.fiocruz.br/handle/icict/34613 |
dc.identifier.issn.pt_BR.fl_str_mv |
2352-3409 |
dc.identifier.doi.none.fl_str_mv |
10.1016/j.dib.2019.104125 |
dc.identifier.eissn.none.fl_str_mv |
2352-3409 |
identifier_str_mv |
GOMIG, Talita Helen Bombardelli et al. High-throughput mass spectrometry and bioinformatics analysis of breast câncer proteomic data. Data in Brief, v. 25, p. 1-5, 2019. 2352-3409 10.1016/j.dib.2019.104125 |
url |
https://www.arca.fiocruz.br/handle/icict/34613 |
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por |
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por |
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info:eu-repo/semantics/openAccess |
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openAccess |
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Elsevier |
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Elsevier |
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