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VDJ gene usage among B-cell receptors in ABO-incompatible kidney transplantation determined by RNA-seq Transcriptomic analysis

Overview of attention for article published in BMC Nephrology, November 2017
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Title
VDJ gene usage among B-cell receptors in ABO-incompatible kidney transplantation determined by RNA-seq Transcriptomic analysis
Published in
BMC Nephrology, November 2017
DOI 10.1186/s12882-017-0770-8
Pubmed ID
Authors

Hee Jung Jeon, Kwangsoo Kim, Jae-Ghi Lee, Joon Young Jang, Seongmin Choi, Taishi Fang, Ji-Jing Yan, Miyeun Han, Jong Cheol Jeong, Kyoung-Bun Lee, Tae Jin Kim, Curie Ahn, Jaeseok Yang

Abstract

Studies on B-cell subtypes and V(D)J gene usage of B-cell receptors in kidney transplants are scarce. This study aimed to investigate V(D)J gene segment usage in ABO-incompatible (ABOi) kidney transplant (KT) patients compared to that in ABO-compatible (ABOc) KT patients. We selected 16 ABOi KT patients with accommodation (ABOiA), 6 ABOc stable KT patients (ABOcS), and 6 ABOi KT patients with biopsy-proven acute antibody-mediated rejection (ABOiR) at day 10, whose graft tissue samples had been stored in the biorepository between 2010 and 2014. Complete transcriptomes of graft tissues were sequenced and analyzed through RNA sequencing (RNA-seq). The international ImMunoGeneTics information system (IMGT®) was used for in-depth comparison of V(D)J gene segment usage. The mean age of the 28 KT recipients was 43.3 ± 12.8 years, and 53.6% were male. By family, IGHV3, IGHJ4, IGLV2, and IGLJ3 gene segments were most frequently used in all groups, and their usage was not statistically different among the three patient groups. While IGKV3 was most frequently used in both the ABOiA and ABOiR groups, IGKV1 was most commonly used in the ABOcS group. In addition, while IGKJ1 was most commonly used in the ABOiA and ABOcS groups, IGKJ4 was most frequently used in the ABOiR group. According to individual gene segments, IGHV4-34 and IGHV4-30-2 were more commonly used in the ABOiR group than in the ABOiA group, and IGHV6-1 was more commonly used in the ABOcS group than in the ABOiR group. IGLV7-43 was more commonly used in the ABOcS group than in the ABOi group. However, technical variability, small sample size, and potential confounding effects of Rituximab or HLA mismatching are limitations of our study. Our findings suggest that RNA-seq transcriptomic analyses can provide information on the V(D)J gene usage of B-cell receptors and the mechanisms of accommodation and immune reaction in ABOi KT.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 14%
Professor 2 9%
Student > Doctoral Student 2 9%
Student > Master 2 9%
Other 1 5%
Other 5 23%
Unknown 7 32%
Readers by discipline Count As %
Medicine and Dentistry 7 32%
Biochemistry, Genetics and Molecular Biology 3 14%
Immunology and Microbiology 2 9%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Computer Science 1 5%
Other 0 0%
Unknown 8 36%
Attention Score in Context

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 10 December 2017.
All research outputs
#15,485,255
of 23,011,300 outputs
Outputs from BMC Nephrology
#1,471
of 2,497 outputs
Outputs of similar age
#265,708
of 438,556 outputs
Outputs of similar age from BMC Nephrology
#31
of 43 outputs
Altmetric has tracked 23,011,300 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,497 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 30th percentile – i.e., 30% 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 438,556 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.