Protemic characterization of peripheral blood mononuclear cells

• Autor(a) principal: Silva, Carolina Sousa
• Data de Publicação: 2015
• Tipo de documento: Dissertação
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10773/15872
• topic: Biotecnologia molecular; Sistema imunitário; Sangue - Doenças; Proteómica

Peripheral blood mononuclear cells (PBMCs) play quite diverse and important roles in monitoring immune homeostasis. Thus, these subset of blood cells may provide access to potential physiological relevant biomolecules, namely proteins. For this reason, PBMCs represent a promising biological sample in scientific research, particularly as a source of potential biological markers discovery of the most diverse diseases. Prior studies of proteomic characterization of PBMCs from healthy individuals lack either the identification of a large number of proteins or its quantification in a way that is compatible with the search of potential biomarker candidates. Therefore, this study aimed to provide a comprehensive PBMCs proteome characterisation as well as to create a SWATH library. It was also evaluated if by using the BD Vacutainer® CPT™ tubes for PBMCs isolation, it would be possible to identify a larger number of immunologically relevant proteins in comparison to plasma samples. The enrichment test assay revealed that it is possible to identify more immune-related proteins from isolated PBMCs than from plasma. Moreover, the majority of the quantified proteins with an “immune system” GO term assigned is present in higher amounts in PBMCs samples. 2D LC-MS/MS proved to be the best approach to use in qualitative analysis of PBMCs and in the construction of a SWATH library, since it resulted in an increase of both identified and quantified proteins (66.3% and 16.9%, respectively) in comparison to 1D LC-MS/MS. A total of 2071 proteins were identified and it was possible to quantify 922 different proteins among six distinct samples. From these proteins, 445 were commom between all individuals. In conclusion, this work provides a comprehensive PBMCs proteome dataset that will be useful in further studies that focus on the search for potential biological markers of various pathologies in these cells. Additionally, SWATH-MS proved to be a reproducible and effective acquisition method to quantify PBMCs proteins.