Comprehensive Analysis of REST/NRSF Gene in Glioma and Its ceRNA Network Identification

We sought to clarify the clinical relationship between REST/NRSF expression and the prognosis of glioma and explore the REST-associated competitive endogenous RNA (ceRNA) network in glioma. We downloaded RNA-seq, miRNA-seq and correlated clinical data of 670 glioma patients from The Cancer Genome Atlas and analyzed the correlation between REST expression, clinical characteristics and prognosis. Differentially expressed genes (DEGs) were identified with DESeq2 and analyzed with Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) using the Profiler package. Starbase was used to explore the regulatory interaction between REST and miRNAs or LncRNAs. The lncRNA-miRNA-REST ceRNA network was constructed with Cytoscape. RT-qPCR, WB, CCK8, wound-healing, and luciferase assays were performed to validate the ceRNA network. Results showed that REST expression was significantly higher in glioma patients than normal samples. Higher REST expression was significantly associated with worse overall survival, progression-free interval, and worse disease-specific survival in glioma patients. The DEGs of mRNA, miRNA, and lncRNA were identified, and GO and KEGG enrichment analyses were performed. Finally, REST-associated ceRNA networks, including NR2F2-AS1-miR129-REST and HOTAIRM1-miR137-REST, were experimentally validated. Thus, REST may be a prognostic biomarker and therapeutic target in glioma, and its regulatory network validated in this study may provide insights into glioma's molecular regulatory mechanisms.

A CYC-RAD-DIV-DRIF interaction likely pre-dates the origin of floral monosymmetry in Lamiales

BackgroundAn outstanding question in evolutionary biology is how genetic interactions defining novel traits evolve. They may evolve either by de novo assembly of previously non-interacting genes or by en bloc co-option of interactions from other functions. We tested these hypotheses in the context of a novel phenotype—Lamiales flower monosymmetry—defined by a developmental program that relies on regulatory interaction among CYCLOIDEA , RADIALIS , DIVARICATA , and DRIF gene products. In Antirrhinum majus (snapdragon), representing Lamiales, we tested whether components of this program likely function beyond their previously known role in petal and stamen development. In Solanum lycopersicum (tomato), representing Solanales which diverged from Lamiales before the origin of Lamiales floral monosymmetry, we additionally tested for regulatory interactions in this program. ResultsWe found that RADIALIS , DIVARICATA , and DRIF are expressed in snapdragon ovaries and developing fruit, similar to their homologs during tomato fruit development. Additionally, we found that a tomato CYCLOIDEA ortholog positively regulates a tomato RADIALIS ortholog. ConclusionOur results provide preliminary support to the hypothesis that the developmental program defining floral monosymmetry in Lamiales was co-opted en bloc from a function in carpel development. This expands our understanding of novel trait evolution facilitated by co-option of existing regulatory interactions.

Coilin enhances phosphorylation and stability of DGCR8 and promotes miRNA biogenesis

MicroRNAs (miRNAs) are ∼22 nt small noncoding RNAs that control gene expression at the posttranscriptional level through translational inhibition and destabilization of their target mRNAs. The biogenesis of miRNAs involves a series of processing steps beginning with cropping of the primary miRNA transcript by the Microprocessor complex, which is comprised of Drosha and DGCR8. Here we report a novel regulatory interaction between the Microprocessor components and coilin, the Cajal Body (CB) marker protein. Coilin knockdown causes alterations in the level of primary and mature miRNAs, let-7a and miR-34a, and their miRNA targets, HMGA2 and Notch1, respectively. We also found that coilin knockdown affects the levels of DGCR8 and Drosha in cells with (HeLa) and without (WI-38) CBs. To further explore the role of coilin in miRNA biogenesis, we conducted a series of co-immunoprecipitation experiments using coilin and DGCR8 constructs, which revealed that coilin and DGCR8 can form a complex. Additionally, our results indicate that phosphorylation of DGCR8, which has been shown to increase protein stability, is impacted by coilin knockdown. Collectively, our results implicate coilin as a member of the regulatory network governing miRNA biogenesis.

Structure and activity of SLAC1 channels for stomatal signaling in leaves

Stomata in leaves regulate gas exchange between the plant and its atmosphere. Various environmental stimuli elicit abscisic acid (ABA); ABA leads to phosphoactivation of slow anion channel 1 (SLAC1); SLAC1 activity reduces turgor pressure in aperture-defining guard cells; and stomatal closure ensues. We used electrophysiology for functional characterizations of Arabidopsis thaliana SLAC1 (AtSLAC1) and cryoelectron microscopy (cryo-EM) for structural analysis of Brachypodium distachyon SLAC1 (BdSLAC1), at 2.97-Å resolution. We identified 14 phosphorylation sites in AtSLAC1 and showed nearly 330-fold channel-activity enhancement with 4 to 6 of these phosphorylated. Seven SLAC1-conserved arginines are poised in BdSLAC1 for regulatory interaction with the N-terminal extension. This BdSLAC1 structure has its pores closed, in a basal state, spring loaded by phenylalanyl residues in high-energy conformations. SLAC1 phosphorylation fine-tunes an equilibrium between basal and activated SLAC1 trimers, thereby controlling the degree of stomatal opening.

Transvection regulates the sex-biased expression of a fly X-linked gene

Sexual dimorphism in animals results from sex-biased gene expression patterns. These patterns are controlled by genetic sex determination hierarchies that establish the sex of an individual. Here we show that the male-biased wing expression pattern of the Drosophila biarmipes gene yellow, located on the X chromosome, is independent of the fly sex determination hierarchy. Instead, we find that a regulatory interaction between yellow alleles on homologous chromosomes (a process known as transvection) silences the activity of a yellow enhancer functioning in the wing. Therefore, this enhancer can be active in males (XY) but not in females (XX). This transvection-dependent enhancer silencing requires the yellow intron and the chromatin architecture protein Mod(mdg4). Our results suggest that transvection can contribute more generally to the sex-biased expression of X-linked genes.

PP495 Addressing The Interactions Between Health Regulation And Health Technology Assessment In Brazil

IntroductionThe interaction of health technology assessment (HTA) and health regulatory agencies has been widespread, especially for decision-making in health system coverage. The objective of this paper is to report the HTA-regulatory interaction in Brazil.MethodsThis is a case study on the interaction between HTA and regulation in Brazil. Technical documents and Brazilian legislation on health regulation and HTA were analyzed. The study was conducted in July 2019.ResultsHTA-Regulatory Interaction in Brazil is still incipient. There is no responsible agency for interaction between agencies, as there is in Europe and Canada, for example. In the last 4 years, cooperation has started between the Brazilian Health Surveillance Agency (Anvisa) and the Oswaldo Cruz Foundation (Fiocruz) for post-registration monitoring of medicines. During this partnership, 170 post-marketing drug opinions were prepared, assisting the regulatory agency in decision-making.ConclusionsBrazil legislation guarantees essential medicines at low cost or free. The interaction between HTA and regulation has the potential to reduce the time taken to incorporate technology to the patient, in addition to ensuring greater safety for users of the Unified Health System. In this sense, it was observed that the interaction between health regulation and science and technology institutions has innovative potential in this approach.

Joint reconstruction of cis-regulatory interaction networks across multiple tissues using single-cell chromatin accessibility data

The rapid accumulation of single-cell chromatin accessibility data offers a unique opportunity to investigate common and specific regulatory mechanisms across different cell types. However, existing methods for cis-regulatory network reconstruction using single-cell chromatin accessibility data were only designed for cells belonging to one cell type, and resulting networks may be incomparable directly due to diverse cell numbers of different cell types. Here, we adopt a computational method to jointly reconstruct cis-regulatory interaction maps (JRIM) of multiple cell populations based on patterns of co-accessibility in single-cell data. We applied JRIM to explore common and specific regulatory interactions across multiple tissues from single-cell ATAC-seq dataset containing ~80 000 cells across 13 mouse tissues. Reconstructed common interactions among 13 tissues indeed relate to basic biological functions, and individual cis-regulatory networks show strong tissue specificity and functional relevance. More importantly, tissue-specific regulatory interactions are mediated by coordination of histone modifications and tissue-related TFs, and many of them may reveal novel regulatory mechanisms.

Computational modeling and analysis of gene regulatory interaction network for metabolic disorder: a bioinformatics approach

In this study, we generate a PPI network and co-regulatory networks to understand the mechanisms of metabolic disorder more clearly. This study also analyzes the relevance of genes that are responsible for Cardiovascular (CVD), Obesity (OBS), Type 2 diabetes (T2D) and Hypertension (HT). It also showed the common genome among CVD, OBS, T2D, and HT. Using Bioinformatics approaches, drugs are possible to design. For this study gene was collected from NCBI (National Center for Biotechnology Information) using R language. Primarily, 7197 genes were found for CVD, 3140 are for OBS, 3283 genes were for T2D and 2237 are for HT which were responsible for all species. Among those genes, 12 top-weighted common genes were selected for this research. Using these liable common genes, a protein-protein interaction network (PPI) and a regulatory interaction network were constructed. The PPI network shows the interaction among those genes. And the regulatory interaction network defines the direct and indirect connection among selected genes. The PPI network will help to design more reliable drug targets.