micro RNA cluster 106a~363 is involved in T helper 17 cell differentiation
Year: 2017
Type: article
Abstract: Summary T‐helper cell type 17 (Th17) mediated inflammation is associated with various diseases including autoimmune encephalitis, inflammatory bowel disease and lung diseases such as chronic obstructive pulmonary disease and asthma. Differentiation into distinct T helper subtypes needs to be tightly regulated to ensure an immunological balance. As micro RNA s (mi RNA s) are critical regulators of signalling pathways, we aimed to identify specific mi RNA s implicated in controlling Th17 differentiation. We were able to create a regulatory network model of murine T helper cell differentiation by combining Affymetrix mRNA and mi RNA arrays and in silico analysis. In this model, the miR‐212~132 and miR‐182~183 clusters were significantly up‐regulated upon Th17 differentiation, whereas the entire miR‐106~363 cluster was down‐regulated and predicted to target well‐known Th17 cell differentiation pathways. In vitro transfection of miR‐18b, miR‐106a and miR‐363‐3p into primary murine Cd 4 + lymphocytes decreased expression of retinoid‐related orphan receptor c ( Rorc ), Rora , Il17a and Il17f , and abolished secretion of Th17‐mediated interleukin‐17a (Il17a). Moreover, we demonstrated target site‐specific regulation of the Th17 transcription factors Rora and nuclear factor of activated T cells ( Nfat) 5 by miR‐18b, miR‐106a and miR‐363‐3p through luciferase reporter assays. Here, we provide evidence that mi RNA s are involved in controlling the differentiation and function of T helper cells, offering useful tools to study and modify Th17‐mediated inflammation.
Source: Immunology
DOI: 10.1111/imm.12775
Institutions: Helmholtz Munich, Ludwig-Maximilians-Universität München, Research Center Borstel - Leibniz Lung Center, German Center for Lung Research, Technical University of Munich, German Center for Diabetes Research, Université d'Orléans, Centre National de la Recherche Scientifique, Christian-Albrechts-Universität zu Kiel
Language: English
Subfield: Immunology
Field: Immunology and Microbiology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W2625737972
