Chapter title |
Proteome Profiling of Sertoli Cells Using a GeLC-MS/MS Strategy
|
---|---|
Chapter number | 13 |
Book title |
Sertoli Cells
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7698-0_13 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7697-3, 978-1-4939-7698-0
|
Authors |
Rita Ferreira, Fábio Trindade, Rui Vitorino, Ferreira, Rita, Trindade, Fábio, Vitorino, Rui |
Abstract |
Proteomics is a technology that allows to decipher the molecular networks involved in the regulation of biological processes such as spermatogenesis. Sertoli cells (SCs) are key players in the paracrine control of this process. Envisioning to increase the knowledge on the molecular networks harbored in SCs, we propose a methodology based on GeLC-MS/MS for the characterization of these cells' proteome. Proteins are separated by SDS-PAGE hyphenated to HPLC and identified by mass spectrometry. The integration of data with bioinformatics tools such as ClueGO + CluePedia from Cytoscape allows the identification of the biological pathways more prevalent in SCs, and that might be modulated by pathophysiological conditions. Moreover, the proteome analysis with tools as SignalP/SecretomeP highlights the proteins more prone to be secreted and involved in the paracrine control of germ cells, which might also be deregulated by diseases. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 8 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 25% |
Unspecified | 1 | 13% |
Lecturer > Senior Lecturer | 1 | 13% |
Professor | 1 | 13% |
Lecturer | 1 | 13% |
Other | 2 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 2 | 25% |
Medicine and Dentistry | 2 | 25% |
Unspecified | 1 | 13% |
Computer Science | 1 | 13% |
Veterinary Science and Veterinary Medicine | 1 | 13% |
Other | 0 | 0% |
Unknown | 1 | 13% |