MiRNA expression in psoriatic skin: reciprocal regulation of hsa-miR-99a and IGF-1R

Background

Psoriasis is a complex disease at the cellular, genomic and genetic levels. The role of microRNAs in skin development was shown in a keratinocyte-specific Dicer knockout mouse model. Considering that two main characteristics of psoriasis are keratinocytes hyperproliferation and abnormal skin differentiation, we hypothesized that aberrant microRNA expression contributes to the psoriatic phenotype. Here, we describe the differential expression of miRNAs in psoriatic involved and uninvolved skin as compared to normal skin, revealing an additional aspect of this complex disorder.

Methodology/Principal Findings

Expression arrays were used to compare microRNA expression in normal skin versus psoriatic involved and uninvolved skin. Fourteen differentially expressed microRNAs were identified, including hsa-miR-99a, hsa-miR-150, hsa-miR-423 and hsa-miR-197. The expression of these microRNAs was reevaluated by qPCR. IGF-1R, which is involved in skin development and the pathogenesis of psoriasis, is a predicted target of hsa-miR-99a. In an in situ hybridization assay, we found that IGF-1R and miR-99a are reciprocally expressed in the epidermis. Using a reporter assay, we found that IGF-1R is targeted by hsa-miR-99a. Moreover, over expression of miR-99a in primary keratinocytes down-regulates the expression of the endogenous IGF-1R protein. Over expression of miR-99a also inhibits keratinocyte proliferation and increases Keratin 10 expression. These findings suggest that overexpression of hsa-miR-99a in keratinocytes drives them towards differentiation. In primary keratinocytes grown in high Ca⁺⁺, miR-99a expression increases over time. Finally, we found that IGF1 increases the expression of miR-99a.

Conclusions/Significance

We identified several microRNAs that are expressed differentially in normal and psoriatic skin. One of these miRNAs is miR-99a that regulates the expression of IGF-1R. Moreover, miR-99a seems to play a role in the differentiation of keratinocytes. We suggest that miR-99a is one of the regulators of the IGF-1R signaling pathway in keratinocytes. Activation of IGF1 signaling results in elevation of miR-99a which represses the expression of IGF-1R.     

MicroRNA Expression and Virulence in Pandemic Influenza Virus-Infected Mice

The worst known H1N1 influenza pandemic in history resulted in more than 20 million deaths in 1918 and 1919. Although the underlying mechanism causing the extreme virulence of the 1918 influenza virus is still obscure, our previous functional genomics analyses revealed a correlation between the lethality of the reconstructed 1918 influenza virus (r1918) in mice and a unique gene expression pattern associated with severe immune responses in the lungs. Lately, microRNAs have emerged as a class of crucial regulators for gene expression. To determine whether differential expression of cellular microRNAs plays a role in the host response to r1918 infection, we compared the lung cellular “microRNAome” of mice infected by r1918 virus with that of mice infected by a nonlethal seasonal influenza virus, A/Texas/36/91. We found that a group of microRNAs, including miR-200a and miR-223, were differentially expressed in response to influenza virus infection and that r1918 and A/Texas/36/91 infection induced distinct microRNA expression profiles. Moreover, we observed significant enrichment in the number of predicted cellular target mRNAs whose expression was inversely correlated with the expression of these microRNAs. Intriguingly, gene ontology analysis revealed that many of these mRNAs play roles in immune response and cell death pathways, which are known to be associated with the extreme virulence of r1918. This is the first demonstration that cellular gene expression patterns in influenza virus-infected mice may be attributed in part to microRNA regulation and that such regulation may be a contributing factor to the extreme virulence of the r1918.H1N1 influenza A viruses continue to pose serious threats to public health, as exemplified by the ongoing 2009 H1N1 influenza pandemic. The 1918-1919 H1N1 influenza pandemic was even deadlier in comparison, causing more than 20 million deaths worldwide. The keys to unlocking the mystery of the extreme virulence of the 1918 virus were provided with the reconstruction of the virus (reconstructed 1918 influenza virus [r1918]) by reverse genetics (37). The lethality of r1918 has since been examined in both mouse and macaque models (17, 18). Unlike the nonlethal infections of some other H1N1 influenza virus strains, such as A/Texas/36/91 (Tx/91) or A/Kawasaki/173/01 (K173), the r1918 causes severe and lethal pulmonary disease. We subsequently conducted functional genomics analyses that revealed that the extreme virulence of r1918 was correlated with atypical expression of immune response-related genes, including massive induction of cellular genes related to inflammatory response and cell death pathways (17, 18). In spite of these findings, the mechanistic basis for these atypical gene expression patterns remains unknown.Cellular gene expression is a complicated process and is subject to regulation by many cellular factors. As a group of newly identified cellular regulators, microRNAs are known to regulate the expression of a large number of targets, mainly cellular genes. Through mRNA degradation or translational repression of their targets, microRNAs regulate a wide range of crucial physiologic and pathological processes. For example, miR-34a acts as a tumor suppressor by inhibiting the expression of sirt1 (40), whereas miR-21 contributes to myocardial disease by inhibiting the expression of spry1 (36). By targeting zeb1/2, the miR-200 family members play roles in maintaining the epithelial phenotype of cancer cells (27). Furthermore, Let-7s regulates the expression of hbl-1, which drives the developmental progression of epidermal stem cells (5). Cellular microRNAs also play critical roles in virus-host interactions. The cellular microRNA miR-122 is an indispensable factor in supporting hepatitis C virus (HCV) replication (16), whereas miR-196 and miR-296 substantially attenuate viral replication through type I interferon (IFN)-associated pathways in liver cells (28). Furthermore, miR-125b and miR-223 directly target human immunodeficiency virus type 1 (HIV-1) mRNA, thereby attenuating viral gene expression in resting CD4⁺ T cells (14), and miR-198 modulates HIV-1 replication indirectly by repressing the expression of ccnt1 (34), a cellular factor necessary for HIV-1 replication. More importantly, viruses may promote their life cycles by modulating the intracellular environment through actively regulating the expression of multiple cellular microRNAs. For example, human T-cell lymphotropic virus type 1 (HTLV-1) modulates the expression of a number of cellular microRNAs in order to control T-cell differentiation (3). Similarly, human cytomegalovirus (HCMV) selectively manipulates the expression of miR-100 and miR-101 to facilitate its own replication (38). In contrast, the involvement of microRNAs during influenza A virus infection or pathogenesis is largely unknown.To determine whether cellular microRNAs play a role in the host response to influenza virus infection, we performed a systematic profiling of cellular microRNAs in lung tissues from mice infected with r1918 or a nonlethal seasonal influenza virus, Tx/91 (17). We identified a group of microRNAs whose expression patterns differentiated the host response to r1918 and Tx/91 infection. We assessed the potential functions of differentially expressed microRNAs by analyzing the predicted target genes whose expression was inversely correlated with the expression of these microRNAs. Our report provides a new perspective on the contribution of microRNAs to the pathogenesis of lethal 1918 influenza virus infection.     

Identification of MicroRNAs in Meloidogyne incognita Using Deep Sequencing

MicroRNAs play important regulatory roles in eukaryotic lineages. In this paper, we employed deep sequencing technology to sequence and identify microRNAs in M. incognita genome, which is one of the important plant parasitic nematodes. We identified 102 M. incognita microRNA genes, which can be grouped into 71 nonredundant miRNAs based on mature sequences. Among the 71 miRANs, 27 are known miRNAs and 44 are novel miRNAs. We identified seven miRNA clusters in M. incognita genome. Four of the seven clusters, miR-100/let-7, miR-71-1/miR-2a-1, miR-71-2/miR-2a-2 and miR-279/miR-2b are conserved in other species. We validated the expressions of 5 M. incognita microRNAs, including 3 known microRNAs (miR-71, miR-100b and let-7) and 2 novel microRNAs (NOVEL-1 and NOVEL-2), using RT-PCR. We can detect all 5 microRNAs. The expression levels of four microRNAs obtained using RT-PCR were consistent with those obtained by high-throughput sequencing except for those of let-7. We also examined how M. incognita miRNAs are conserved in four other nematodes species: C. elegans, A. suum, B. malayi and P. pacificus. We found that four microRNAs, miR-100, miR-92, miR-279 and miR-137, exist only in genomes of parasitic nematodes, but do not exist in the genomes of the free living nematode C. elegans. Our research created a unique resource for the research of plant parasitic nematodes. The candidate microRNAs could help elucidate the genomic structure, gene regulation, evolutionary processes, and developmental features of plant parasitic nematodes and nematode-plant interaction.