| Chapter title |
Surface Proteome Biotinylation Combined with Bioinformatic Tools as a Strategy for Predicting Pathogen Interacting Proteins
|
|---|---|
| Chapter number | 9 |
| Book title |
Host-Pathogen Interactions
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7604-1_9 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7603-4, 978-1-4939-7604-1
|
| Authors |
Anita Horvatić, Josipa Kuleš, Nicolas Guillemin, Franjo Martinković, Iva Štimac, Vladimir Mrljak, Mangesh Bhide |
| Abstract |
Constant advancements in methodology and mass spectrometry instrumentation, genome sequencing and bioinformatic tools have enabled the identification of numerous pathogen proteomes. Identifying the pathogen interacting proteins by means of high-throughput techniques is key for understanding pathogen invasion and survival mechanisms and in such a way proposing specific proteins as pharmaceutical targets. Herein we describe the methodology for the enrichment and identification of pathogen surface proteome using cell surface protein biotinylation followed by LC-MS/MS and bioinformatic analyses of such data. This strategy is to be employed for the determination of protein subcellular localization and prediction of potential pathogen interacting proteins. |
X Demographics
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|---|---|---|
| Belgium | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 19% |
| Student > Doctoral Student | 3 | 9% |
| Student > Postgraduate | 3 | 9% |
| Researcher | 2 | 6% |
| Other | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 13 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
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| Veterinary Science and Veterinary Medicine | 3 | 9% |
| Biochemistry, Genetics and Molecular Biology | 3 | 9% |
| Agricultural and Biological Sciences | 2 | 6% |
| Nursing and Health Professions | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 10 | 31% |