| Chapter title |
Proteomic Analysis of Posttranslational Modifications Using iTRAQ in Leishmania.
|
|---|---|
| Chapter number | 16 |
| Book title |
Parasite Genomics Protocols
|
| Published in |
Methods in molecular biology, January 2015
|
| DOI | 10.1007/978-1-4939-1438-8_16 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-1437-1, 978-1-4939-1438-8
|
| Authors |
Dan Zilberstein, Zilberstein, Dan |
| Abstract |
iTRAQ is a high coverage quantitative proteomics technique identifies and quantitates abundance changes of multiple (up to eight) distinct protein samples. To date, one iTRAQ-MS/MS assay can identify up to quarter of cells proteome. Each of the eight tags covalently binds to the N-terminus as well as arginine and lysine side chains of peptides, enabling labeling of the entire peptide population in each sample. Following tagging, the various protein samples are mixed and subjected to LC-MS/MS analysis. In the first round identical peptides from the different protein populations focus in a single pick. Subsequently, sequence of each peptide is determined. The tags whose m/z is similar to that of natural amino acids are used to determine relative abundance. To date, iTRAQ enabled identification of almost 2,000 Leishmania proteins. Here, we provide protocols for protein abundance changes and for phosphoproteomics analysis in Leishmania parasites. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 9% |
| Unknown | 10 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 27% |
| Professor | 2 | 18% |
| Student > Master | 2 | 18% |
| Student > Bachelor | 1 | 9% |
| Researcher | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 2 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 55% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 9% |
| Agricultural and Biological Sciences | 1 | 9% |
| Medicine and Dentistry | 1 | 9% |
| Unknown | 2 | 18% |