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X Demographics
Mendeley readers
| Chapter title |
Analysis of Endogenous Peptide Pools of Physcomitrella patens Moss
|
|---|---|
| Chapter number | 27 |
| Book title |
Peptidomics
|
| Published by |
Humana Press, New York, NY, February 2018
|
| DOI | 10.1007/978-1-4939-7537-2_27 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7536-5, 978-1-4939-7537-2
|
| Authors |
Igor Fesenko, Regina Khazigaleeva, Vadim Govorun, Vadim Ivanov |
| Abstract |
Here, we report our approach to peptidomic analysis of the plant object which led to structure elucidation of the title peptides. P. patens samples were extracted under conditions preventing proteolytic digestion by endogenous proteases. The extracts were fractionated on size exclusion columns and the peptide fractions subjected to LC-MS/MS analysis. Mass spectra datasets were analyzed for the presence of peptides derived from the proteins encoded by the moss genome. Experimental details are given for each step, selected chromatograms and mass-spectra are presented in figures. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 29% |
| Unspecified | 1 | 14% |
| Student > Doctoral Student | 1 | 14% |
| Professor | 1 | 14% |
| Student > Master | 1 | 14% |
| Other | 1 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 29% |
| Agricultural and Biological Sciences | 2 | 29% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 14% |
| Computer Science | 1 | 14% |
| Unspecified | 1 | 14% |
| Other | 0 | 0% |