Chapter title |
Shotgun and Targeted Plasma Proteomics to Predict Prognosis of Non-Small Cell Lung Cancer
|
---|---|
Chapter number | 26 |
Book title |
Serum/Plasma Proteomics
|
Published in |
Methods in molecular biology, July 2017
|
DOI | 10.1007/978-1-4939-7057-5_26 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7056-8, 978-1-4939-7057-5
|
Authors |
Qing-Run Li, Yan-Sheng Liu, Rong Zeng |
Editors |
David W. Greening, Richard J. Simpson |
Abstract |
Lung cancer is the leading cause of cancer deaths worldwide. Clinically, the treatment of non-small cell lung cancer (NSCLC) can be improved by the early detection and risk screening among population. To meet this need, here we describe in detail a shotgun following the targeted proteomics workflow that we previously applied for human plasma analysis, which involves (1) the application of extensive peptide-level fractionation coupled with label-free quantitative proteomics for the discovery of plasma biomarker candidates for lung cancer and (2) the usage of the multiple reaction monitoring (MRM) assays for the follow-up validations in the verification phase. The workflow features simplicity, low cost, high transferability, high robustness, and flexibility with specific instrumental settings. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 27% |
Student > Master | 2 | 18% |
Other | 1 | 9% |
Researcher | 1 | 9% |
Professor > Associate Professor | 1 | 9% |
Other | 0 | 0% |
Unknown | 3 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 3 | 27% |
Agricultural and Biological Sciences | 2 | 18% |
Medicine and Dentistry | 2 | 18% |
Engineering | 1 | 9% |
Unknown | 3 | 27% |