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Development of genetically engineered iNKT cells expressing TCRs specific for the M. tuberculosis 38-kDa antigen

Overview of attention for article published in Journal of Translational Medicine, May 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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2 X users
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2 patents

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30 Mendeley
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Title
Development of genetically engineered iNKT cells expressing TCRs specific for the M. tuberculosis 38-kDa antigen
Published in
Journal of Translational Medicine, May 2015
DOI 10.1186/s12967-015-0502-4
Pubmed ID
Authors

Zhen-Min Jiang, Wei Luo, Qian Wen, Su-Dong Liu, Pei-Pei Hao, Chao-Ying Zhou, Ming-Qian Zhou, Li Ma, Jiang, Zhen-Min, Luo, Wei, Wen, Qian, Liu, Su-Dong, Hao, Pei-Pei, Zhou, Chao-Ying, Zhou, Ming-Qian, Ma, Li

Abstract

The invariant natural killer T (iNKT) cell has been shown to play a central role in early stages immune responses against Mycobacterium tuberculosis (Mtb) infection, which become nonresponsive (anergic) and fails to control the growth of Mtb in patients with active tuberculosis. Enhancement of iNKT cell responses to Mtb antigens can help to resist infection. In the present study, an Mtb 38-kDa antigen-specific T cell receptor (TCR) was isolated from human CD8(+) T cells stimulated by 38-kDa antigen in vitro, and then transduced into primary iNKT cells by retrovirus vector. The TCR gene-modified iNKT cells are endowed with new features to behave as a conventional MHC class I restricted CD8(+) T lymphocyte by displaying specific antigen recognition and anti-Mtb antigen activity in vitro. At the same time, the engineered iNKT cells retaining its original capacity to be stimulated proliferation by non-protein antigens α-Gal-Cer. This work is the first attempt to engineer iNKT cells by exogenous TCR genes and demonstrated that iNKT cell, as well as CD4(+) and CD8(+) T cells, can be genetically engineered to confer them a defined and alternative specificity, which provides new insights into TCR gene therapy for tuberculosis patients, especially those infected with drug-resistant Mtb.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 10%
Librarian 2 7%
Student > Bachelor 2 7%
Researcher 2 7%
Student > Postgraduate 2 7%
Other 7 23%
Unknown 12 40%
Readers by discipline Count As %
Medicine and Dentistry 6 20%
Biochemistry, Genetics and Molecular Biology 4 13%
Agricultural and Biological Sciences 4 13%
Psychology 1 3%
Nursing and Health Professions 1 3%
Other 2 7%
Unknown 12 40%
Attention Score in Context

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 20 April 2023.
All research outputs
#5,241,626
of 25,377,790 outputs
Outputs from Journal of Translational Medicine
#915
of 4,637 outputs
Outputs of similar age
#61,722
of 279,167 outputs
Outputs of similar age from Journal of Translational Medicine
#19
of 91 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,637 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done well, scoring higher than 79% 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 279,167 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 77% of its contemporaries.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.