| Chapter title |
LC-MS-Based Metabolomic Investigation of Chemopreventive Phytochemical-Elicited Metabolic Events
|
|---|---|
| Chapter number | 7 |
| Book title |
Cancer Chemoprevention
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3191-0_7 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3190-3, 978-1-4939-3191-0
|
| Authors |
Lei Wang, Dan Yao, Chi Chen, Wang, Lei, Yao, Dan, Chen, Chi |
| Abstract |
Phytochemicals are under intensive investigation for their potential use as chemopreventive agents in blocking or suppressing carcinogenesis. Metabolic interactions between phytochemical and biological system play an important role in determining the efficacy and toxicity of chemopreventive phytochemicals. However, complexities of phytochemical biotransformation and intermediary metabolism pose challenges for studying phytochemical-elicited metabolic events. Metabolomics has become a highly effective technical platform to detect subtle changes in a complex metabolic system. Here, using green tea polyphenols as an example, we describe a workflow of LC-MS-based metabolomics study, covering the procedures and techniques in sample collection, preparation, LC-MS analysis, data analysis, and interpretation. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 3 | 38% |
| Other | 1 | 13% |
| Student > Ph. D. Student | 1 | 13% |
| Student > Bachelor | 1 | 13% |
| Researcher | 1 | 13% |
| Other | 1 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 25% |
| Environmental Science | 1 | 13% |
| Computer Science | 1 | 13% |
| Medicine and Dentistry | 1 | 13% |
| Chemistry | 1 | 13% |
| Other | 0 | 0% |
| Unknown | 2 | 25% |