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Toward the Proteome of the Human Peripheral Blood Eosinophil.
Straub, Christof; Pazdrak, Konrad; Young, Travis W; Stafford, Susan J; Wu, Zheng; Wiktorowicz, John E; Haag, Anthony M; English, Robert D; Soman, Kizhake V; Kurosky, Alexander.
Afiliação
  • Straub C; Department of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, TX, USA.
Proteomics Clin Appl ; 3(10): 1151-1173, 2009.
Article em En | MEDLINE | ID: mdl-21048890
Eosinophils are granular leukocytes that have significant roles in many inflammatory and immunoregulatory responses, especially asthma and allergic diseases. We have undertaken a fairly comprehensive proteomic analysis of purified peripheral blood eosinophils from normal human donors primarily employing 2-dimensional gel electrophoresis with protein spot identification by matrix-assisted laser desorption/ionization mass spectrometry. Protein subfractionation methods employed included isoelectric focusing (Zoom(®) Fractionator) and subcellular fractionation using differential protein solubilization. We have identified 3,141 proteins which had Mascot expectation scores of 10(-3) or less. Of these 426 were unique and non-redundant of which 231 were novel proteins not previously reported to occur in eosinophils. Ingenuity Pathway Analysis showed that some 70% of the non-redundant proteins could be subdivided into categories that are clearly related to currently known eosinophil biological activities. Cytoskeletal and associated proteins predominated among the proteins identified. Extensive protein posttranslational modifications were evident, many of which have not been previously reported that reflected the dynamic character of the eosinophil. This dataset of eosinophilic proteins will prove valuable in comparative studies of disease versus normal states and for studies of gender differences and polymorphic variation among individuals.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2009 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2009 Tipo de documento: Article