| Title |
Sparse 13C labelling for solid-state NMR studies of P. pastoris expressed eukaryotic seven-transmembrane proteins
|
|---|---|
| Published in |
Journal of Biomolecular NMR, April 2016
|
| DOI | 10.1007/s10858-016-0033-1 |
| Pubmed ID | |
| Authors |
Jing Liu, Chang Liu, Ying Fan, Rachel A. Munro, Vladimir Ladizhansky, Leonid S. Brown, Shenlin Wang |
| Abstract |
We demonstrate a novel sparse (13)C labelling approach for methylotrophic yeast P. pastoris expression system, towards solid-state NMR studies of eukaryotic membrane proteins. The labelling scheme was achieved by co-utilizing natural abundance methanol and specifically (13)C labelled glycerol as carbon sources in the expression medium. This strategy improves the spectral resolution by 1.5 fold, displays site-specific labelling patterns, and has advantages for collecting long-range distance restraints for structure determination of large eukaryotic membrane proteins by solid-state NMR. |
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 % |
|---|---|---|
| France | 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 4% |
| Unknown | 26 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 15% |
| Student > Ph. D. Student | 4 | 15% |
| Professor | 3 | 11% |
| Student > Master | 3 | 11% |
| Student > Doctoral Student | 2 | 7% |
| Other | 4 | 15% |
| Unknown | 7 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 30% |
| Chemistry | 6 | 22% |
| Agricultural and Biological Sciences | 4 | 15% |
| Physics and Astronomy | 1 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 7 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 April 2016.
All research outputs
#18,349,015
of 23,577,654 outputs
Outputs from Journal of Biomolecular NMR
#448
of 619 outputs
Outputs of similar age
#207,190
of 300,729 outputs
Outputs of similar age from Journal of Biomolecular NMR
#7
of 7 outputs
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