| Chapter title |
Quantitative protein analysis by mass spectrometry.
|
|---|---|
| Chapter number | 17 |
| Book title |
Protein-Protein Interactions
|
| Published in |
Methods in molecular biology, January 2015
|
| DOI | 10.1007/978-1-4939-2425-7_17 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-2424-0, 978-1-4939-2425-7
|
| Authors |
Pagala, Vishwajeeth R, High, Anthony A, Wang, Xusheng, Tan, Haiyan, Kodali, Kiran, Mishra, Ashutosh, Kavdia, Kanisha, Xu, Yanji, Wu, Zhiping, Peng, Junmin, Vishwajeeth R. Pagala, Anthony A. High, Xusheng Wang, Haiyan Tan, Kiran Kodali, Ashutosh Mishra, Kanisha Kavdia, Yanji Xu, Zhiping Wu, Junmin Peng, Pagala, Vishwajeeth R., High, Anthony A. |
| Abstract |
Mass spectrometry is one of the most sensitive methods in analytical chemistry, and its application in proteomics has been rapidly expanded after sequencing the human genome. Mass spectrometry is now the mainstream approach for identification and quantification of proteins and posttranslational modifications, either in small scale or in the entire proteome. Shotgun proteomics can analyze up to 10,000 proteins in a comprehensive study, with detection sensitivity in the picogram range. In this chapter, we describe major experimental steps in a shotgun proteomics platform, including sample preparation in the context of studying protein-protein interaction, mass spectrometric data acquisition, and database search to identify proteins and posttranslational modification analysis. Proteome quantification strategies and bioinformatics analysis are also illustrated. Finally, we discuss the capabilities, limitations, and potential improvements of current platforms. |
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| Canada | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
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Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 24% |
| Student > Ph. D. Student | 4 | 14% |
| Student > Master | 3 | 10% |
| Other | 2 | 7% |
| Student > Doctoral Student | 2 | 7% |
| Other | 6 | 21% |
| Unknown | 5 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 28% |
| Agricultural and Biological Sciences | 6 | 21% |
| Neuroscience | 4 | 14% |
| Chemistry | 2 | 7% |
| Unspecified | 2 | 7% |
| Other | 1 | 3% |
| Unknown | 6 | 21% |