High-throughput mass spectrometry and bioinformatics analysis of breast cancer proteomic data.

Autor:	Gomig THB; Genetics Department, Federal University of Parana, Curitiba, Brazil., Cavalli IJ; Genetics Department, Federal University of Parana, Curitiba, Brazil., Souza RLR; Genetics Department, Federal University of Parana, Curitiba, Brazil., Lucena ACR; Functional Genomics Laboratory, Carlos Chagas Institute, Fiocruz, Curitiba, Parana, Brazil., Batista M; Functional Genomics Laboratory, Carlos Chagas Institute, Fiocruz, Curitiba, Parana, Brazil.; Mass Spectrometry Facility - RPT02H, Carlos Chagas Institute, Fiocruz, Curitiba, Parana, Brazil., Machado KC; Mass Spectrometry Facility - RPT02H, Carlos Chagas Institute, Fiocruz, Curitiba, Parana, Brazil., Marchini FK; Functional Genomics Laboratory, Carlos Chagas Institute, Fiocruz, Curitiba, Parana, Brazil.; Mass Spectrometry Facility - RPT02H, Carlos Chagas Institute, Fiocruz, Curitiba, Parana, Brazil., Marchi FA; International Research Center (CIPE) - A.C. Camargo Cancer Center, São Paulo, SP, Brazil., Lima RS; Breast Disease Center, Hospital Nossa Senhora das Graças, Curitiba, Brazil., Urban CA; Breast Disease Center, Hospital Nossa Senhora das Graças, Curitiba, Brazil., Cavalli LR; Research Institute Pele Pequeno Principe, Curitiba, Brazil.; Lombardi Comprehensive Cancer Center, Georgetown University, USA., Ribeiro EMSF; Genetics Department, Federal University of Parana, Curitiba, Brazil.
Jazyk:	angličtina
Zdroj:	Data in brief [Data Brief] 2019 Jun 10; Vol. 25, pp. 104125. Date of Electronic Publication: 2019 Jun 10 (Print Publication: 2019).
DOI:	10.1016/j.dib.2019.104125
Abstrakt:	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' [2].
Databáze:	MEDLINE
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