microRNA dynamic expression regulates invariant NKT cells

Invariant natural killer T cells (iNKT) are a prevalent population of innate-like T cells in mice, but quite rare in humans that are critical for regulation of the innate and adaptive immune responses during antimicrobial immunity, tumor rejection, and inflammatory diseases. Multiple transcription factors and signaling molecules that contribute to iNKT cell selection and functional differentiation have been identified. However, the full molecular network responsible for regulating and maintaining iNKT populations remains unclear. MicroRNAs (miRNAs) are an abundant class of evolutionarily conserved, small, non-coding RNAs that regulate gene expression post-transcriptionally. Previous reports uncovered the important roles of miRNAs in iNKT cell development and function using Dicer mutant mice. In this review, we discuss the emerging roles of individual miRNAs in iNKT cells reported by our group and other groups, including miR-150, miR-155, miR-181, let-7, miR-17 ~ 92 cluster, and miR-183-96-182 cluster. It is likely that iNKT cell development, differentiation, homeostasis, and functions are orchestrated through a multilayered network comprising interactions among master transcription factors, signaling molecules, and dynamically expressed miRNAs. We provide a comprehensive view of the molecular mechanisms underlying iNKT cell differentiation and function controlled by dynamically expressed miRNAs.

Analyses of bovine luteal fractions obtained by FACS reveals enrichment of miR-183-96-182 cluster miRNAs in endothelial cells

Our previous studies showed that the miRNA clusters, miR-183-96-182 and miR-212-132, may be critical in promoting luteal cell survival and progesterone production in both bovine and humans. To further understand their involvement in luteal development, this study aimed to establish the expression of these miRNAs in different bovine luteal cell types, namely, endothelial and steroidogenic, isolated using fluorescence-activated cell sorting (FACS). We isolated each of the two cell populations based on the presence of the endothelia surface marker, CD144, and uptake of the lipophilic dye, Nile Red, respectively. Using quantitative Polymerase Chain Reaction (qPCR) in the sorted cell fractions we confirmed that CD144 and the endothelia-specific miRNA, miR-126, were predominantly expressed in endothelial cells (CD144+), whereas HSD3B1 was expressed predominantly in steroidogenic cells (Nile Red^HI). Finally, we found that whereas the miR-212-132 cluster was expressed at similar levels in luteal endothelial and steroidogenic cells, miR-183-96-182 was expressed at > 4-fold higher levels in endothelial than in steroidogenic cells (P < 0.05), suggesting that these two miRNA clusters, and particularly miR-183-96-182, may be important in functionally regulating not only steroidogenic cells but also endothelial cells in the corpus luteum (CL).

Bioinformatic Studies to Predict MicroRNAs with the Potential of Uncoupling RECK Expression from Epithelial-Mesenchymal Transition in Cancer Cells

RECK is downregulated in many tumors, and forced RECK expression in tumor cells often results in suppression of malignant phenotypes. Recent findings suggest that RECK is upregulated after epithelial-mesenchymal transition (EMT) in normal epithelium-derived cells but not in cancer cells. Since several microRNAs (miRs) are known to target RECK mRNA, we hypothesized that certain miR(s) may be involved in this suppression of RECK upregulation after EMT in cancer cells. To test this hypothesis, we used three approaches: (1) text mining to find miRs relevant to EMT in cancer cells, (2) predicting miR targets using four algorithms, and (3) comparing miR-seq data and RECK mRNA data using a novel non-parametric method. These approaches identified the miR-183-96-182 cluster as a strong candidate. We also looked for transcription factors and signaling molecules that may promote cancer EMT, miR-183-96-182 upregulation, and RECK downregulation. Here we describe our methods, findings, and a testable hypothesis on how RECK expression could be regulated in cancer cells after EMT.