| Title |
Donor-unrestricted T cells in the human CD1 system
|
|---|---|
| Published in |
Immunogenetics, August 2016
|
| DOI | 10.1007/s00251-016-0942-x |
| Pubmed ID | |
| Authors |
Shouxiong Huang, D. Branch Moody |
| Abstract |
The CD1 and MHC systems are specialized for lipid and peptide display, respectively. Here, we review evidence showing how cellular CD1a, CD1b, CD1c, and CD1d proteins capture and display many cellular lipids to T cell receptors (TCRs). Increasing evidence shows that CD1-reactive T cells operate outside two classical immunogenetic concepts derived from the MHC paradigm. First, because CD1 proteins are non-polymorphic in human populations, T cell responses are not restricted to the donor's genetic background. Second, the simplified population genetics of CD1 antigen-presenting molecules can lead to simplified patterns of TCR usage. As contrasted with donor-restricted patterns of MHC-TCR interaction, the donor-unrestricted nature of CD1-TCR interactions raises the prospect that lipid agonists and antagonists of T cells could be developed. |
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 % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 24% |
| Student > Master | 5 | 15% |
| Student > Ph. D. Student | 5 | 15% |
| Student > Bachelor | 4 | 12% |
| Other | 3 | 9% |
| Other | 3 | 9% |
| Unknown | 6 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 35% |
| Immunology and Microbiology | 9 | 26% |
| Biochemistry, Genetics and Molecular Biology | 3 | 9% |
| Chemistry | 2 | 6% |
| Nursing and Health Professions | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 5 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 July 2023.
All research outputs
#4,013,494
of 24,024,220 outputs
Outputs from Immunogenetics
#112
of 1,221 outputs
Outputs of similar age
#70,259
of 368,171 outputs
Outputs of similar age from Immunogenetics
#2
of 25 outputs
Altmetric has tracked 24,024,220 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,221 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 90% 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 368,171 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.