| Title |
Optimized flow cytometry protocol for analysis of surface expression of interleukin-1 receptor types I and II
|
|---|---|
| Published in |
Methods in Cell Science, February 2013
|
| DOI | 10.1007/s10616-013-9546-6 |
| Pubmed ID | |
| Authors |
Filipp Filippovich Vasilyev, Julia Anatolievna Lopatnikova, Sergey Vitalievich Sennikov |
| Abstract |
The biological effects of interleukin (IL)-1 are realized through binding to specific membrane-bound receptors. The efficiency of IL-1 action depends on the number of receptors on the cell. We determined the percentage of cells that express IL-1 receptor type I (IL-1RI) and IL-1 receptor type II (IL-1RII) by flow cytometry using phycoerythrin (PE)-labelled antibodies to the IL-1Rs, and the mean absolute number of membrane-bound IL-1Rs per cell using QuantiBRITE PE calibration beads. We showed that different subpopulations of immunocompetent cells expressed different numbers of molecules of membrane-bound IL-1RI and IL-1RII. We also established that when cells were stimulated with bacterial lipopolysaccharide, there was a significant increase in the number of IL-1RI expressed, and a significant decrease in the mean number of IL-1RII molecules per cell. Determination of the mean number of membrane-bound IL-1R molecules using this protocol enables us to obtain precise and reproducible data that are necessary for full evaluation of expression levels. |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 17% |
| Student > Bachelor | 7 | 15% |
| Student > Ph. D. Student | 7 | 15% |
| Student > Master | 5 | 11% |
| Student > Doctoral Student | 3 | 7% |
| Other | 3 | 7% |
| Unknown | 13 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 26% |
| Agricultural and Biological Sciences | 7 | 15% |
| Immunology and Microbiology | 6 | 13% |
| Chemistry | 3 | 7% |
| Engineering | 2 | 4% |
| Other | 3 | 7% |
| Unknown | 13 | 28% |
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 06 March 2013.
All research outputs
#22,963,239
of 25,604,262 outputs
Outputs from Methods in Cell Science
#911
of 1,030 outputs
Outputs of similar age
#181,648
of 205,490 outputs
Outputs of similar age from Methods in Cell Science
#10
of 12 outputs
Altmetric has tracked 25,604,262 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,030 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 205,490 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.