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Quantification of T-Cell and B-Cell Replication History in Aging, Immunodeficiency, and Newborn Screening. | LitMetric

AI Article Synopsis

  • The study introduces a new method for quantifying T-cell receptor excision circles (TRECs) using multiplex TRG rearrangement, improving upon previous limitations by assessing T-cell replication more accurately.
  • Findings reveal that naive T-cells undergo fewer than 5 divisions while effector memory T-cells exceed 10 divisions, highlighting differences in T-cell replication among subsets and its relation to age and health conditions.
  • The research also indicates that neonates with Down syndrome have reduced T and B cell counts compared to controls, with a similar T-cell and slightly higher B-cell replication, suggesting potential implications for immunodeficiency screening.

Article Abstract

Quantification of T-cell receptor excision circles (TRECs) has impacted on human T-cell research, but interpretations on T-cell replication have been limited due to the lack of a genomic coding joint. We here overcome this limitation with multiplex TRG rearrangement quantification (detecting ~0.98 alleles per TCRαβ+ T cell) and the HSB-2 cell line with a retrovirally introduced TREC construct. We uncovered <5 cell divisions in naive and >10 cell divisions in effector memory T-cell subsets. Furthermore, we show that TREC dilution with age in healthy adults results mainly from increased T cell replication history. This proliferation was significantly increased in patients with predominantly antibody deficiency. Finally, Guthrie cards of neonates with Down syndrome have fewer T and B cells than controls, with similar T-cell and slightly higher B-cell replication. Thus, combined analysis of TRG coding joints and TREC signal joints can be utilized to quantify T-cell replication, and has direct applications for research into aging, immunodeficiency, and newborn screening.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6730487PMC
http://dx.doi.org/10.3389/fimmu.2019.02084DOI Listing

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