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Mendeley readers
Chapter title |
Plasma Biomarker Identification and Quantification by Microparticle Proteomics
|
---|---|
Chapter number | 33 |
Book title |
Serum/Plasma Proteomics
|
Published in |
Methods in molecular biology, July 2017
|
DOI | 10.1007/978-1-4939-7057-5_33 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7056-8, 978-1-4939-7057-5
|
Authors |
Michal Harel, Tamar Geiger |
Editors |
David W. Greening, Richard J. Simpson |
Abstract |
Plasma biomarker discovery necessitates a method for deep proteomic profiling, as well as for highly accurate quantification of the proteins in the sample. Furthermore, to obtain strong candidates for potential biomarkers, the method should be high throughput to enable a large scale analysis. Here we describe in detail PROMIS-Quan (PROteomics of MIcroparticles using Super-SILAC Quantification), a method for a simple and robust fractionation of the plasma samples by extraction of plasma microparticles, followed by SILAC-based relative and absolute quantification. |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 33% |
Other | 1 | 8% |
Professor | 1 | 8% |
Student > Bachelor | 1 | 8% |
Student > Master | 1 | 8% |
Other | 1 | 8% |
Unknown | 3 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 4 | 33% |
Medicine and Dentistry | 3 | 25% |
Agricultural and Biological Sciences | 1 | 8% |
Unknown | 4 | 33% |