Dynamic modulation of thymic microRNAs in response to stress.
Dynamic modulation of thymic microRNAs in response to stress.
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DOI:
10.1371/journal.pone.0027580
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发表时间:
2011
期刊:
影响因子:
3.7
通讯作者:
van Oers NS
中科院分区:
文献类型:
--
作者:
Belkaya S;Silge RL;Hoover AR;Medeiros JJ;Eitson JL;Becker AM;de la Morena MT;Bassel-Duby RS;van Oers NS
Physiological stress evokes rapid changes in both the innate and adaptive immune response. Immature αβ T cells developing in the thymus are particularly sensitive to stress, with infections and/or exposure to lipopolysaccharide or glucocorticoids eliciting a rapid apoptotic program. MicroRNAs are a class of small, non-coding RNAs that regulate global gene expression by targeting diverse mRNAs for degradation. We hypothesized that a subset of thymically encoded microRNAs would be stress responsive and modulate thymopoiesis. We performed microRNA profiling of thymic microRNAs isolated from control or stressed thymic tissue obtained from mice. We identified 18 microRNAs that are dysregulated >1.5-fold in response to lipopolysaccharide or the synthetic corticosteroid dexamethasone. These included the miR-17-90 cluster, which have anti-apoptotic functions, and the miR-181 family, which contribute to T cell tolerance. The stress-induced changes in the thymic microRNAs are dynamically and distinctly regulated in the CD4−CD8−, CD4+CD8+, CD4+CD8−, and CD4−CD8+ thymocyte subsets. Several of the differentially regulated murine thymic miRs are also stress responsive in the heart, kidney, liver, brain, and/or spleen. The most dramatic thymic microRNA down modulated is miR-181d, exhibiting a 15-fold reduction following stress. This miR has both similar and distinct gene targets as miR-181a, another member of miR-181 family. Many of the differentially regulated microRNAs have known functions in thymopoiesis, indicating that their dysregulation will alter T cell repertoire selection and the formation of naïve T cells. This data has implications for clinical treatments involving anti-inflammatory steroids, ablation therapies, and provides mechanistic insights into the consequences of infections.
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影响因子:
16
作者:
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通讯作者:
Sharp PA
影响因子:
30.5
作者:
通讯作者:
--
影响因子:
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作者:
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影响因子:
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作者:
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通讯作者:
Rajewsky, N
DOI:
10.1073/pnas.95.25.14909
发表时间:
1998-12-08
影响因子:
11.1
作者:
DeJarnette, JB;Sommers, CL;Love, PE
通讯作者:
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