| Chapter title |
Isolation of Plant Organelles and Structures
|
|---|---|
| Chapter number | 2 |
| Book title |
Isolation of Plant Organelles and Structures
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-6533-5_2 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6531-1, 978-1-4939-6533-5
|
| Authors |
Mueller, Stefanie J, Hoernstein, Sebastian N W, Reski, Ralf, Stefanie J. Mueller, Sebastian N. W. Hoernstein, Ralf Reski |
| Editors |
Nicolas L. Taylor, A. Harvey Millar |
| Abstract |
The function of subcellular structures is defined by their specific sets of proteins, making subcellular protein localization one of the most important topics in organelle research. To date, many organelle proteomics workflows involve the (partial) purification of the desired subcellular structure and the subsequent analysis of the proteome using tandem mass spectrometry (MS/MS). This chapter gives an overview of the methods that have been used to assay the purity and enrichment of subcellular structures, with an emphasis on quantitative proteomics using differently enriched subcellular fractions. We introduce large-scale-based criteria for assignment of proteins to subcellular structures and describe in detail the use of (15)N metabolic labeling in moss to characterize plastid and mitochondrial proteomes. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 2 | 50% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 8% |
| Unknown | 12 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 23% |
| Student > Master | 2 | 15% |
| Student > Bachelor | 2 | 15% |
| Unspecified | 1 | 8% |
| Student > Doctoral Student | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 3 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 46% |
| Biochemistry, Genetics and Molecular Biology | 1 | 8% |
| Unspecified | 1 | 8% |
| Physics and Astronomy | 1 | 8% |
| Chemistry | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 3 | 23% |