Expression of KIR2DL3 and KIR2DS2 Natural Killer Receptors in Exercise

Shleptsova, V. A.; Grebenyuk, E. S.; Khaustova, S. A.; Образцова, Н. П.; Shkurnikov, M. Yu.; Sakharov, D. A.; Tonevitsky, E. A.

doi:10.1007/s10517-010-1045-6

Cited by 2 publications

(1 citation statement)

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“…[21] Moderate exercise stimulates transcription activities of GZMB. [22] GZMB expression was different in different exercise intensities, with mice exhibiting higher proliferation and GZMB expression at moderate intensity in the presence of GZMB. and NK cell activity.…”

Section: Tbx21 (T-betmentioning

confidence: 96%

Effect of acute exercise on gene expression in peripheral blood mononuclear cells of puberty children

Du,

Song,

Tang

2024

Preprint

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Background: Studies have shown that acute exercise alters the expression of circulating neutrophil and peripheral blood mononuclear cell (PBMC) genes, affecting a wide range of processes from cellular growth to the promotion of inflammatory and anti-inflammatory responses.In this study, we identified differential gene expression associated with acute exercise and PBMC in puberty children through the GEO database. We utilized bioinformatics technology to analyze the impact of acute exercise on PBMC and identified key genes involving the puberty children. Methods: Combining two datasets of gene expression, we identified 197 shared differentially expressed genes (DEGs) in PBMC before and after exercise. We conducted pathway analysis of these DEGs and built a gene co-expression network. The identification of hub genes was achieved through the utilization of protein-protein interaction (PPI) networks. Results: 268 shared DEGs were identified in the GSE11761 dataset in pre- and post-exercise groups, while 352 differential genes were identified between the pre- and post-exercise groups of females in the GSE14642 dataset. A total of 197 shared genes were identified between the two datasets. Seven core genes were identified by MCODE and CytoHubba, namely IL2RB, KLRD1, GZMB, TBX21, PRF1, HAVCR2, and GZMA. Conclusion: Bioinformatics techniques are effective in screening and analyzing PBMC-associated DECs in children undergoing acute pre- and post-exercise puberty. Microarray analysis of PBMCs in children undergoing puberty can identify molecules that may predict acute exercise responses. This study provides insights for further exploration of the mechanisms and targets of acute exercise on the organism.

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Section: Tbx21 (T-betmentioning

confidence: 96%