| Chapter title |
Identification, Quantification, and Site Localization of Protein Posttranslational Modifications via Mass Spectrometry-Based Proteomics
|
|---|---|
| Chapter number | 17 |
| Book title |
Modern Proteomics – Sample Preparation, Analysis and Practical Applications
|
| Published in |
Advances in experimental medicine and biology, December 2016
|
| DOI | 10.1007/978-3-319-41448-5_17 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-941446-1, 978-3-31-941448-5
|
| Authors |
Mi Ke, Hainan Shen, Linjue Wang, Shusheng Luo, Lin Lin, Jie Yang, Ruijun Tian |
| Editors |
Hamid Mirzaei, Martin Carrasco |
| Abstract |
Posttranslational modifications (PTMs) are important biochemical processes for regulating various signaling pathways and determining specific cell fate. Mass spectrometry (MS)-based proteomics has been developed extensively in the past decade and is becoming the standard approach for systematic characterization of different PTMs on a global scale. In this chapter, we will explain the biological importance of various PTMs, summarize key innovations in PTMs enrichment strategies, high-performance liquid chromatography (HPLC)-based fractionation approaches, mass spectrometry detection methods, and lastly bioinformatic tools for PTMs related data analysis. With great effort in recent years by the proteomics community, highly efficient enriching methods and comprehensive resources have been developed. This chapter will specifically focus on five major types of PTMs; phosphorylation, glycosylation, ubiquitination/sumosylation, acetylation, and methylation. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 79 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 22% |
| Researcher | 15 | 19% |
| Student > Master | 8 | 10% |
| Student > Bachelor | 6 | 8% |
| Other | 6 | 8% |
| Other | 10 | 13% |
| Unknown | 17 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 18 | 23% |
| Agricultural and Biological Sciences | 15 | 19% |
| Medicine and Dentistry | 6 | 8% |
| Chemistry | 5 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 6% |
| Other | 13 | 16% |
| Unknown | 17 | 22% |