| Chapter title |
Origins, Technological Development, and Applications of Peptidomics
|
|---|---|
| Chapter number | 1 |
| Book title |
Peptidomics
|
| Published in |
Methods in molecular biology, February 2018
|
| DOI | 10.1007/978-1-4939-7537-2_1 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7536-5, 978-1-4939-7537-2
|
| Authors |
Michael Schrader, Schrader, Michael |
| Abstract |
Peptidomics is the comprehensive characterization of peptides from biological sources mainly by HPLC and mass spectrometry. Mass spectrometry allows the detection of a multitude of single peptides in complex mixtures. The term first appeared in full papers in the year 2001, after over 100 years of peptide research with a main focus on one or a few specific peptides. Within the last 15 years, this new field has grown to over 1200 publications. Mass spectrometry techniques, in combination with other analytical methods, were developed for the fast and comprehensive analysis of peptides in proteomics and specifically adjusted to implement peptidomics technologies. Although peptidomics is closely linked to proteomics, there are fundamental differences with conventional bottom-up proteomics. The development of peptidomics is described, including the most important implementations for its technological basis. Different strategies are covered which are applied to several important applications, such as neuropeptidomics and discovery of bioactive peptides or biomarkers. This overview includes links to all other chapters in the book as well as recent developments of separation, mass spectrometric, and data processing technologies. Additionally, some new applications in food and plant peptidomics as well as immunopeptidomics are introduced. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 10 | 20% |
| Student > Ph. D. Student | 7 | 14% |
| Student > Master | 7 | 14% |
| Student > Doctoral Student | 3 | 6% |
| Researcher | 3 | 6% |
| Other | 7 | 14% |
| Unknown | 13 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 13 | 26% |
| Agricultural and Biological Sciences | 8 | 16% |
| Medicine and Dentistry | 4 | 8% |
| Chemistry | 3 | 6% |
| Nursing and Health Professions | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 15 | 30% |