Chapter title |
Urine Sample Preparation and Fractionation for Global Proteome Profiling by LC-MS.
|
---|---|
Chapter number | 10 |
Book title |
Clinical Proteomics
|
Published in |
Methods in molecular biology, October 2014
|
DOI | 10.1007/978-1-4939-1872-0_10 |
Pubmed ID | |
Book ISBNs |
978-1-4939-1871-3, 978-1-4939-1872-0
|
Authors |
Court M, Garin J, Masselon CD, Magali Court, Jérôme Garin, Christophe D. Masselon, Court, Magali, Garin, Jérôme, Masselon, Christophe D. |
Editors |
Antonia Vlahou, Manousos Makridakis |
Abstract |
Urine has garnered tremendous interest over the past decade as a potential source of protein biomarkers for various pathologies. However, due to its low protein concentration and the presence of interfering compounds, urine constitutes a challenging analyte in proteomics. In the context of a project aimed at the discovery and evaluation of new candidate biomarkers of bladder cancer in urine, our laboratory has implemented and evaluated an array of preparation techniques for urinary proteome analysis. We present here the protocol that, in our hands, yielded the best overall proteome coverage with the lowest analytical effort. It begins with protein precipitation using trichloroacetic acid, in solution digestion and RP-C18 cartridge desalting of the resulting peptides mixture, and is followed by peptide fractionation by gel-free isoelectric focusing, and nano-LC-MS/MS for database compilation. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 31% |
Student > Ph. D. Student | 2 | 15% |
Student > Master | 2 | 15% |
Student > Doctoral Student | 1 | 8% |
Professor > Associate Professor | 1 | 8% |
Other | 1 | 8% |
Unknown | 2 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 4 | 31% |
Chemistry | 3 | 23% |
Biochemistry, Genetics and Molecular Biology | 2 | 15% |
Medicine and Dentistry | 1 | 8% |
Unknown | 3 | 23% |