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Updated: Jun 13, 2025

Retroviral Transduction of Helper T Cells as a Genetic Approach to Study Mechanisms Controlling their Differentiation and Function
Published on: November 4, 2016
Transcriptional Activity of Genes Regulating T-Helper Differentiation in the Accidentally Exposed Population of the
V S Nikiforov1,2, A I Kotikova3,4, E A Blinova3,4
1Urals Research Center for Radiation Medicine of the Federal Medical and Biological Agency of Russia, Chelyabinsk, Russia. nikiforovx@mail.ru.
Abstract:
The objective of this work was to study the expression of the TBX21, RORC, GATA3, NFKB1, MAPK8, and STAT3 genes responsible for the regulation of the differentiation of various T-helper subpopulations in individuals chronically exposed to radiation. The object of the study was peripheral blood cells obtained from 120 persons chronically exposed to radiation in a wide range of doses on the Techa River. The mean cumulative absorbed dose to red bone marrow in the examined exposed individuals was 742.7 ± 78.6 mGy (dose range, 73.5-3516.1 mGy); in the comparison group, 17.4 ± 2.2 mGy (dose range, 0.0-55.5 mGy). The subpopulation composition of T-helpers (Th1, Th2, and Th17) was analyzed by flow cytofluorometry. The relative mRNA content of the TBX21, RORC, GATA3, NFKB1, MAPK8, and STAT3 genes was estimated by real-time PCR. The study made it possible to note a decrease in the relative number of T-helpers 2 in the populations of T-helpers of the central memory in the group of chronically exposed persons compared to the comparison group. In the population of T-helpers of the central memory, a statistically significant increase in the relative number of T-helpers 1 was shown, depending on the accumulated absorbed dose to red bone marrow. No changes in mRNA expression of the studied genes were observed. The analysis of the correlation between the expression of GATA3, MAPK8, STAT3, RORC, and TBX21 mRNA and the relative number of cells in subpopulations of T-helper types 1, 2, and 17 in the examined people did not reveal statistically significant patterns.
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