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Mendeley readers
| Chapter title |
Using (15)N-Metabolic Labeling for Quantitative Proteomic Analyses.
|
|---|---|
| Chapter number | 20 |
| Book title |
Multiplex Biomarker Techniques
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-6730-8_20 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6729-2, 978-1-4939-6730-8
|
| Authors |
Giuseppina Maccarrone, Alon Chen, Michaela D. Filiou |
| Editors |
Paul C. Guest |
| Abstract |
Quantitative proteomics has benefited from the application of stable isotope labeling-based approaches. Using stable isotopically labeled material as an internal standard in proteomic comparisons allows an unbiased and accurate quantification of protein expression level changes. Here, we describe the use of in vivo (15)N metabolic labeling to generate labeled protein standards from mice. We then present a protocol including sample preparation, mass spectrometry, and data analysis workflows using these standards to compare unlabeled proteomes. We focus on mouse brain tissue and plasma samples, although this conceptual framework can be applied to most organisms. |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 1 | 25% |
| Student > Ph. D. Student | 1 | 25% |
| Unknown | 2 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 1 | 25% |
| Agricultural and Biological Sciences | 1 | 25% |
| Unknown | 2 | 50% |