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Chapter title |
Label-Free Quantitation for Clinical Proteomics.
|
---|---|
Chapter number | 4 |
Book title |
Quantitative Proteomics by Mass Spectrometry
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Published in |
Methods in molecular biology, January 2016
|
DOI | 10.1007/978-1-4939-3524-6_4 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3522-2, 978-1-4939-3524-6
|
Authors |
Robert Moulder Ph.D., Young Ah Goo Ph.D., David R. Goodlett Ph.D., Robert Moulder, Young Ah Goo, David R. Goodlett |
Editors |
Salvatore Sechi |
Abstract |
Label-free quantification (LFQ) has emerged as a viable option for quantitative LC-MS/MS-based proteomic analyses for use on the scale of hundreds of samples such as are encountered in clinical analysis. Notably, sample preparation, sample loading, HPLC separations, and mass spectrometric performance must be highly reproducible for this approach to be effective. The following protocols describe the key steps in the methods related to sample preparation and analysis for LC-MS/MS-based label-free quantitation using standard data-dependent acquisition. |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 26 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 23% |
Student > Master | 4 | 15% |
Student > Doctoral Student | 3 | 12% |
Researcher | 3 | 12% |
Professor | 1 | 4% |
Other | 2 | 8% |
Unknown | 7 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 10 | 38% |
Agricultural and Biological Sciences | 3 | 12% |
Medicine and Dentistry | 2 | 8% |
Neuroscience | 2 | 8% |
Unspecified | 1 | 4% |
Other | 1 | 4% |
Unknown | 7 | 27% |