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Modeling cell-mediated immunity in human type 1 diabetes by engineering autoreactive CD8+ T cells

Overview of attention for article published in Frontiers in immunology, May 2023
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  • High Attention Score compared to outputs of the same age and source (86th percentile)

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Title
Modeling cell-mediated immunity in human type 1 diabetes by engineering autoreactive CD8+ T cells
Published in
Frontiers in immunology, May 2023
DOI 10.3389/fimmu.2023.1142648
Pubmed ID
Authors

Leeana D. Peters, Wen-I Yeh, Juan M. Arnoletti, Matthew E. Brown, Amanda L. Posgai, Clayton E. Mathews, Todd M. Brusko

Abstract

The autoimmune pathogenesis of type 1 diabetes (T1D) involves cellular infiltration from innate and adaptive immune subsets into the islets of Langerhans within the pancreas; however, the direct cytotoxic killing of insulin-producing β-cells is thought to be mediated primarily by antigen-specific CD8+ T cells. Despite this direct pathogenic role, key aspects of their receptor specificity and function remain uncharacterized, in part, due to their low precursor frequency in peripheral blood. The concept of engineering human T cell specificity, using T cell receptor (TCR) and chimeric antigen receptor (CAR)-based approaches, has been demonstrated to improve adoptive cell therapies for cancer, but has yet to be extensively employed for modeling and treating autoimmunity. To address this limitation, we sought to combine targeted genome editing of the endogenous TCRα chain gene (TRAC) via CRISPR/Cas9 in combination with lentiviral vector (LV)-mediated TCR gene transfer into primary human CD8+ T cells. We observed that knockout (KO) of endogenous TRAC enhanced de novo TCR pairing, which permitted increased peptide:MHC-dextramer staining. Moreover, TRAC KO and TCR gene transfer increased markers of activation and effector function following activation, including granzyme B and interferon-γ production. Importantly, we observed increased cytotoxicity toward an HLA-A*0201+ human β-cell line by HLA-A*02:01 restricted CD8+ T cells engineered to recognize islet-specific glucose-6-phosphatase catalytic subunit (IGRP). These data support the notion of altering the specificity of primary human T cells for mechanistic analyses of autoreactive antigen-specific CD8+ T cells and are expected to facilitate downstream cellular therapeutics to achieve tolerance induction through the generation of antigen-specific regulatory T cells.

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The data shown below were collected from the profiles of 11 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 13%
Other 1 13%
Lecturer > Senior Lecturer 1 13%
Student > Master 1 13%
Unknown 4 50%
Readers by discipline Count As %
Unspecified 1 13%
Biochemistry, Genetics and Molecular Biology 1 13%
Medicine and Dentistry 1 13%
Unknown 5 63%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 18 June 2023.
All research outputs
#6,490,103
of 25,523,622 outputs
Outputs from Frontiers in immunology
#6,803
of 31,887 outputs
Outputs of similar age
#105,636
of 389,936 outputs
Outputs of similar age from Frontiers in immunology
#181
of 1,345 outputs
Altmetric has tracked 25,523,622 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 31,887 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done well, scoring higher than 78% 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 389,936 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 72% of its contemporaries.
We're also able to compare this research output to 1,345 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.