| Title |
Characterization of human αβTCR repertoire and discovery of D-D fusion in TCRβ chains
|
|---|---|
| Published in |
Protein & Cell, May 2014
|
| DOI | 10.1007/s13238-014-0060-1 |
| Pubmed ID | |
| Authors |
Peipei Liu, Di Liu, Xi Yang, Jing Gao, Yan Chen, Xue Xiao, Fei Liu, Jing Zou, Jun Wu, Juncai Ma, Fangqing Zhao, Xuyu Zhou, George F. Gao, Baoli Zhu |
| Abstract |
The characterization of the human T-cell receptor (TCR) repertoire has made remarkable progress, with most of the work focusing on the TCRβ chains. Here, we analyzed the diversity and complexity of both the TCRα and TCRβ repertoires of three healthy donors. We found that the diversity of the TCRα repertoire is higher than that of the TCRβ repertoire, whereas the usages of the V and J genes tended to be preferential with similar TRAV and TRAJ patterns in all three donors. The V-J pairings, like the V and J gene usages, were slightly preferential. We also found that the TRDV1 gene rearranges with the majority of TRAJ genes, suggesting that TRDV1 is a shared TRAV/DV gene (TRAV42/DV1). Moreover, we uncovered the presence of tandem TRBD (TRB D gene) usage in ~2% of the productive human TCRβ CDR3 sequences. |
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 % |
|---|---|---|
| United States | 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Russia | 1 | 2% |
| Unknown | 44 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 22% |
| Student > Bachelor | 7 | 15% |
| Researcher | 6 | 13% |
| Professor | 5 | 11% |
| Student > Postgraduate | 4 | 9% |
| Other | 10 | 22% |
| Unknown | 4 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 26% |
| Agricultural and Biological Sciences | 11 | 24% |
| Medicine and Dentistry | 5 | 11% |
| Immunology and Microbiology | 4 | 9% |
| Engineering | 3 | 7% |
| Other | 5 | 11% |
| Unknown | 6 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 31 August 2017.
All research outputs
#4,506,621
of 22,757,090 outputs
Outputs from Protein & Cell
#181
of 739 outputs
Outputs of similar age
#44,557
of 226,672 outputs
Outputs of similar age from Protein & Cell
#4
of 16 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 done well, scoring higher than 75% 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 226,672 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 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.