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Usage Information

Quantifying size and diversity of the human T cell alloresponse
Susan DeWolf, Boris Grinshpun, Thomas Savage, Sai Ping Lau, Aleksandar Obradovic, Brittany Shonts, Suxiao Yang, Heather Morris, Julien Zuber, Robert Winchester, Megan Sykes, Yufeng Shen
Susan DeWolf, Boris Grinshpun, Thomas Savage, Sai Ping Lau, Aleksandar Obradovic, Brittany Shonts, Suxiao Yang, Heather Morris, Julien Zuber, Robert Winchester, Megan Sykes, Yufeng Shen
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Research Article Immunology Transplantation

Quantifying size and diversity of the human T cell alloresponse

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Abstract

Alloreactive T lymphocytes are the primary mediators of immune responses in transplantation, both in the graft-versus-host and host-versus-graft directions. While essentially all clones comprising the human T cell repertoire have been selected on self-peptide presented by self–human leukocyte antigens (self-HLAs), much remains to be understood about the nature of clones capable of responding to allo-HLA molecules. Quantitative tools to study these cells are critical to understand fundamental features of this important response; however, the large size and diversity of the alloreactive T cell repertoire in humans presents a great technical challenge. We have developed a high-throughput T cell receptor (TCR) sequencing approach to characterize the human alloresponse. We present a statistical method to model T cell clonal frequency distribution and quantify repertoire diversity. Using these approaches, we measured the diversity and frequency of distinct alloreactive CD4+ and CD8+ T cell populations in HLA-mismatched responder-stimulator pairs. Our findings indicate that the alloimmune repertoire is highly specific for a given pair of individuals, that most alloreactive clones circulate at low frequencies, and that a high proportion of TCRs is likely able to recognize alloantigens.

Authors

Susan DeWolf, Boris Grinshpun, Thomas Savage, Sai Ping Lau, Aleksandar Obradovic, Brittany Shonts, Suxiao Yang, Heather Morris, Julien Zuber, Robert Winchester, Megan Sykes, Yufeng Shen

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Usage data is cumulative from July 2025 through July 2026.

Usage JCI PMC
Text version 2,248 158
PDF 228 41
Figure 772 0
Table 122 0
Supplemental data 132 3
Citation downloads 257 0
Totals 3,759 202
Total Views 3,961
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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