Study on the differentially expressed genes and signaling pathways in dermatomyositis using integrated bioinformatics method.

Dermatomyositis is a common connective tissue disease. The occurrence and development of dermatomyositis is a result of multiple factors, but its exact pathogenesis has not been fully elucidated. Here, we used biological information method to explore and predict the major disease related genes of dermatomyositis and to find the underlying pathogenic molecular mechanism.The gene expression data of GDS1956, GDS2153, GDS2855, and GDS3417 including 94 specimens, 66 cases of dermatomyositis specimens and 28 cases of normal specimens, were obtained from the Gene Expression Omnibus database. The 4 microarray gene data groups were combined to get differentially expressed genes (DEGs). The gene ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichments of DEGs were operated by the database for annotation, visualization and integrated discovery and KEGG orthology based annotation system databases, separately. The protein-protein interaction networks of the DEGs were built from the STRING website. A total of 4097 DEGs were extracted from the 4 Gene Expression Omnibus datasets, of which 2213 genes were upregulated, and 1884 genes were downregulated. Gene ontology analysis indicated that the biological functions of DEGs focused primarily on response to virus, type I interferon signaling pathway and negative regulation of viral genome replication. The main cellular components include extracellular space, cytoplasm, and blood microparticle. The molecular functions include protein binding, double-stranded RNA binding and MHC class I protein binding. KEGG pathway analysis showed that these DEGs were mainly involved in the toll-like receptor signaling pathway, cytosolic DNA-sensing pathway, RIG-I-like receptor signaling pathway, complement and coagulation cascades, arginine and proline metabolism, phagosome signaling pathway. The following 13 closely related genes, XAF1, NT5E, UGCG, GBP2, TLR3, DDX58, STAT1, GBP1, PLSCR1, OAS3, SP100, IGK, and RSAD2, were key nodes from the protein-protein interaction network.This research suggests that exploring for DEGs and pathways in dermatomyositis using integrated bioinformatics methods could help us realize the molecular mechanism underlying the development of dermatomyositis, be of actual implication for the early detection and prophylaxis of dermatomyositis and afford reliable goals for the curing of dermatomyositis.

Staufen1 reads out structure and sequence features in ARF1 dsRNA for target recognition.

Staufen1 (STAU1) is a dsRNA binding protein mediating mRNA transport and localization, translational control and STAU1-mediated mRNA decay (SMD). The STAU1 binding site (SBS) within human ADP-ribosylation factor1 (ARF1) 3'UTR binds STAU1 and this downregulates ARF1 cytoplasmic mRNA levels by SMD. However, how STAU1 recognizes specific mRNA targets is still under debate. Our structure of the ARF1 SBS-STAU1 complex uncovers target recognition by STAU1. STAU1 dsRNA binding domain (dsRBD) 4 interacts with two pyrimidines and one purine from the minor groove side via helix α1, the ß1-ß2 loop anchors the dsRBD at the end of the dsRNA and lysines in helix α2 bind to the phosphodiester backbone from the major groove side. STAU1 dsRBD3 displays the same binding mode with specific recognition of one guanine base. Mutants disrupting minor groove recognition of ARF1 SBS affect in vitro binding and reduce SMD in vivo. Our data thus reveal how STAU1 recognizes minor groove features in dsRNA relevant for target selection.

Contribution of the two dsRBM motifs to the double-stranded RNA binding and protein interactions of PACT.

PACT is a stress-modulated activator of protein kinase PKR (protein kinase, RNA activated), which is involved in antiviral innate immune responses and stress-induced apoptosis. Stress-induced phosphorylation of PACT is essential for PACT's increased association with PKR leading to PKR activation, phosphorylation of translation initiation factor eIF2α, inhibition of protein synthesis, and apoptosis. PACT-induced PKR activation is negatively regulated by TRBP (transactivation response element RNA-binding protein), which dissociates from PACT after PACT phosphorylation in response to stress signals. The conserved double-stranded RNA binding motifs (dsRBMs) in PKR, PACT, and TRBP mediate protein-protein interactions, and the stress-dependent phosphorylation of PACT changes the relative strengths of PKR-PACT, PACT-TRBP, and PACT-PACT interactions to bring about a timely and transient PKR activation. This regulates the general kinetics as well as level of eIF2α phosphorylation, thereby influencing the cellular response to stress either as recovery and survival or elimination by apoptosis. In the present study, we evaluated the effect of specific mutations within PACT's two evolutionarily conserved dsRBMs on dsRNA-binding, and protein-protein interactions between PKR, PACT, and TRBP. Our data show that the two motifs contribute to varying extents in dsRNA binding, and protein interactions. These findings indicate that although the dsRBM motifs have high sequence conservation, their functional contribution in the context of the whole proteins needs to be determined by mutational analysis. Furthermore, using a PACT mutant that is deficient in PACT-PACT interaction but competent for PACT-PKR interaction, we demonstrate that PACT-PACT interaction is essential for efficient PKR activation.

Engineering double-stranded RNA binding activity into the Drosha double-stranded RNA binding domain results in a loss of microRNA processing function.

Canonical processing of miRNA begins in the nucleus with the Microprocessor complex, which is minimally composed of the RNase III enzyme Drosha and two copies of its cofactor protein DGCR8. In structural analogy to most RNase III enzymes, Drosha possesses a modular domain with the double-stranded RNA binding domain (dsRBD) fold. Unlike the dsRBDs found in most members of the RNase III family, the Drosha-dsRBD does not display double-stranded RNA binding activity; perhaps related to this, the Drosha-dsRBD amino acid sequence does not conform well to the canonical patterns expected for a dsRBD. In this article, we investigate the impact on miRNA processing of engineering double-stranded RNA binding activity into Drosha's non-canonical dsRBD. Our findings corroborate previous studies that have demonstrated the Drosha-dsRBD is necessary for miRNA processing and suggest that the amino acid composition in the second α-helix of the domain is critical to support its evolved function.