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Functional disruption of human leukocyte antigen II in human embryonic stem cell

Overview of attention for article published in Biological Research, October 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

twitter
3 tweeters

Citations

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22 Dimensions

Readers on

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37 Mendeley
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Title
Functional disruption of human leukocyte antigen II in human embryonic stem cell
Published in
Biological Research, October 2015
DOI 10.1186/s40659-015-0051-6
Pubmed ID
Authors

Haide Chen, Yang Li, Xijuan Lin, Di Cui, Chun Cui, Hui Li, Lei Xiao

Abstract

Theoretically human embryonic stem cells (hESCs) have the capacity to self-renew and differentiate into all human cell types. Therefore, the greatest promise of hESCs-based therapy is to replace the damaged tissues of patients suffering from traumatic or degenerative diseases by the exact same type of cells derived from hESCs. Allograft immune rejection is one of the obstacles for hESCs-based clinical applications. Human leukocyte antigen (HLA) II leads to CD4(+) T cells-mediated allograft rejection. Hence, we focus on optimizing hESCs for clinic application through gene modification. Transcription activator-like effector nucleases (TALENs) were used to target MHC class II transactivator (CIITA) in hESCs efficiently. CIITA (-/-) hESCs did not show any difference in the differentiation potential and self-renewal capacity. Dendritic cells (DCs) derived from CIITA (-/-) hESCs expressed CD83 and CD86 but without the constitutive HLA II. Fibroblasts derived from CIITA (-/-) hESCs were powerless in IFN-γ inducible expression of HLA II. We generated HLA II defected hESCs via deleting CIITA, a master regulator of constitutive and IFN-γ inducible expression of HLA II genes. CIITA (-/-) hESCs can differentiate into tissue cells with non-HLA II expression. It's promising that CIITA (-/-) hESCs-derived cells could be used in cell therapy (e.g., T cells and DCs) and escape the attack of receptors' CD4(+) T cells, which are the main effector cells of cellular immunity in allograft.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 3%
Unknown 36 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 22%
Student > Bachelor 7 19%
Student > Ph. D. Student 6 16%
Other 4 11%
Student > Master 4 11%
Other 3 8%
Unknown 5 14%
Readers by discipline Count As %
Medicine and Dentistry 7 19%
Agricultural and Biological Sciences 7 19%
Biochemistry, Genetics and Molecular Biology 7 19%
Immunology and Microbiology 6 16%
Chemical Engineering 1 3%
Other 3 8%
Unknown 6 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 30 October 2015.
All research outputs
#2,407,818
of 6,507,444 outputs
Outputs from Biological Research
#56
of 197 outputs
Outputs of similar age
#80,819
of 207,794 outputs
Outputs of similar age from Biological Research
#2
of 13 outputs
Altmetric has tracked 6,507,444 research outputs across all sources so far. This one has received more attention than most of these and is in the 61st percentile.
So far Altmetric has tracked 197 research outputs from this source. They receive a mean Attention Score of 2.8. This one has gotten more attention than average, scoring higher than 71% 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 207,794 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 59% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.