| Chapter title |
Multiple Testing and Pattern Recognition in 2-DE Proteomics
|
|---|---|
| Chapter number | 13 |
| Book title |
2-D PAGE Map Analysis
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3255-9_13 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3254-2, 978-1-4939-3255-9
|
| Authors |
Sebastien C. Carpentier |
| Abstract |
After separation through two-dimensional gel electrophoresis (2-DE), several hundreds of individual protein abundances can be quantified in a cell population or sample tissue. However, gel-based proteomics has the reputation of being a slow and cumbersome art. But art is not dead! While 2-DE may no longer be the tool of choice in high-throughput differential proteomics, it is still very effective to identify and quantify protein species caused by genetic variations, alternative splicing, and/or PTMs. This chapter reviews some typical statistical exploratory and confirmatory tools available and suggests case-specific guidelines for (1) the discovery of potentially interesting protein spots, and (2) the further characterization of protein families and their possible PTMs. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 25% |
| Lecturer | 1 | 13% |
| Professor | 1 | 13% |
| Student > Doctoral Student | 1 | 13% |
| Student > Master | 1 | 13% |
| Other | 1 | 13% |
| Unknown | 1 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 50% |
| Biochemistry, Genetics and Molecular Biology | 1 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 13% |
| Computer Science | 1 | 13% |
| Medicine and Dentistry | 1 | 13% |
| Other | 0 | 0% |