| Title |
The recombinant expression systems for structure determination of eukaryotic membrane proteins
|
|---|---|
| Published in |
Protein & Cell, August 2014
|
| DOI | 10.1007/s13238-014-0086-4 |
| Pubmed ID | |
| Authors |
Yuan He, Kan Wang, Nieng Yan |
| Abstract |
Eukaryotic membrane proteins, many of which are key players in various biological processes, constitute more than half of the drug targets and represent important candidates for structural studies. In contrast to their physiological significance, only very limited number of eukaryotic membrane protein structures have been obtained due to the technical challenges in the generation of recombinant proteins. In this review, we examine the major recombinant expression systems for eukaryotic membrane proteins and compare their relative advantages and disadvantages. We also attempted to summarize the recent technical strategies in the advancement of eukaryotic membrane protein purification and crystallization. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 222 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | <1% |
| Sweden | 1 | <1% |
| Germany | 1 | <1% |
| Spain | 1 | <1% |
| Denmark | 1 | <1% |
| Unknown | 216 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 57 | 26% |
| Researcher | 41 | 18% |
| Student > Master | 36 | 16% |
| Student > Bachelor | 26 | 12% |
| Student > Doctoral Student | 11 | 5% |
| Other | 30 | 14% |
| Unknown | 21 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 97 | 44% |
| Agricultural and Biological Sciences | 65 | 29% |
| Chemistry | 11 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 3% |
| Engineering | 4 | 2% |
| Other | 11 | 5% |
| Unknown | 28 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 12 September 2015.
All research outputs
#7,201,174
of 22,760,687 outputs
Outputs from Protein & Cell
#269
of 739 outputs
Outputs of similar age
#70,528
of 230,675 outputs
Outputs of similar age from Protein & Cell
#3
of 14 outputs
Altmetric has tracked 22,760,687 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 739 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.4. This one has gotten more attention than average, scoring higher than 61% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 230,675 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.