Comparison of the functional microRNA expression in immune cell subsets of neonates and adults

Hong Ren Yu*, Te Yao Hsu, Hsin Chun Huang, Ho Chang Kuo, Sung Chou Li, Kuender D. Yang, Kai Sheng Hsieh

*此作品的通信作者

研究成果: 期刊稿件文章同行評審

27 引文 斯高帕斯(Scopus)

摘要

Diversity of biological molecules in newborn and adult immune cells contributes to differences in cell function and atopic properties. Micro RNAs (miRNAs) are reported to involve in the regulation of immune system. Therefore, determining the miRNA expression profile of leukocyte subpopulations is important for understanding immune system regulation. In order to explore the unique miRNA profiling that contribute to altered immune in neonates, we comprehensively analyzed the functional miRNA signatures of eight leukocyte subsets (polymorphonuclear cells, monocytes, CD4+ T cells, CD8+ T cells, natural killer cells, B cells, plasmacytoid dendritic cells, and myeloid dendritic cells) from both neonatal and adult umbilical cord and peripheral blood samples, respectively. We observed distinct miRNA profiles between adult and neonatal blood leukocyte subsets, including unique miRNA signatures for each cell lineage. Leukocyte miRNA signatures were altered after stimulation. Adult peripheral leukocytes had higher let-7b-5p expression levels compared to neonatal cord leukocytes across multiple subsets, irrespective of stimulation. Transfecting neonatal monocytes with a let-7b-5p mimic resulted in a reduction of LPS-induced interleukin (IL)-6 and TNF-α production, while transfection of a let-7b-5p inhibitor into adult monocytes enhanced IL-6 and TNF-α production. With this functional approach, we provide intact differential miRNA expression profiling of specific immune cell subsets between neonates and adults. These studies serve as a basis to further understand the altered immune response observed in neonates and advance the development of therapeutic strategies.

原文英語
文章編號615
期刊Frontiers in Immunology
7
發行號DEC
DOIs
出版狀態已出版 - 2016

文獻附註

Publisher Copyright:
© 2016 Yu, Hsu, Huang, Kuo, Li, Yang and Hsieh.

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