| Chapter title |
Quantification of proteins in urine samples using targeted mass spectrometry methods.
|
|---|---|
| Chapter number | 12 |
| Book title |
Clinical Proteomics
|
| Published in |
Methods in molecular biology, October 2014
|
| DOI | 10.1007/978-1-4939-1872-0_12 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-1871-3, 978-1-4939-1872-0
|
| Authors |
Khristenko N, Domon B, Nina Khristenko, Bruno Domon Ph.D., Khristenko, Nina, Domon, Bruno, Bruno Domon |
| Editors |
Antonia Vlahou, Manousos Makridakis |
| Abstract |
Numerous clinical proteomics studies are focused on the development of biomarkers to improve either diagnostics for early disease detection or the monitoring of the response to the treatment. Although, a wealth of biomarker candidates are available, their evaluation and validation in a true clinical setup remains challenging. In biomarkers evaluation studies, a panel of proteins of interest are systematically analyzed in a large cohort of samples. However, in spite of the latest progresses in mass spectrometry, the consistent detection of pertinent proteins in high complex biological samples is still a challenging task. Thus, targeted LC-MS/MS methods are better suited for the systematic analysis of biomarkers rather than shotgun approaches. This chapter describes the workflow used to perform targeted quantitative analyses of proteins in urinary samples. The peptides, as surrogates of the protein of interest, are commonly measured using a triple quadrupole mass spectrometers operated in selected reaction monitoring (SRM) mode. More recently, the advances in targeted LC-MS/MS analysis based on parallel reaction monitoring (PRM) performed on a quadrupole-orbitrap instrument have allowed to increase the specificity and selectivity of the measurements. |
X Demographics
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| Unknown | 1 | 100% |
Demographic breakdown
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Mendeley readers
Geographical breakdown
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|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 13% |
| Researcher | 2 | 13% |
| Student > Ph. D. Student | 2 | 13% |
| Other | 1 | 7% |
| Student > Doctoral Student | 1 | 7% |
| Other | 3 | 20% |
| Unknown | 4 | 27% |
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| Unspecified | 1 | 7% |
| Chemistry | 1 | 7% |
| Agricultural and Biological Sciences | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 4 | 27% |