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Long non-coding RNAs (lncRNAs) play vital roles in the pathogenesis of infectious diseases, but the role of lncRNAs in herpes simplex virus 1 (HSV-1) infection remains unknown. Using RNA sequencing analysis, we explored lncRNAs that were highly expressed in murine retinal photoreceptor cell-derived 661W cells infected with HSV-1. U90926 RNA (522 nucleotides) was the most upregulated lncRNA detected post HSV-1 infection. The level of U90926 RNA was continuously increased post HSV-1 infection, reaching a 100-fold increase at 24 h. Cellular fractionation showed that U90926 RNA was located in the nucleus post HSV-1 infection. Downregulation of U90926 expression by RNA interference markedly suppressed HSV-1 DNA replication (80% reduction at 12 h post infection) and HSV-1 proliferation (93% reduction at 12 h post infection) in 661W cells. The survival rates of U90926-knockdown cells were significantly increased compared to those of control cells (81% and 21%, respectively; p U90926 is crucial for HSV-1 proliferation in retinal photoreceptor cells and consequently leads to host cell death by promoting HSV-1 proliferation.

Summary: Skeletal muscle adaptation is mediated by cooperative regulation of metabolism, signal transduction, and gene expression. However, the global regulatory mechanism remains unclear. To address this issue, we performed electrical pulse stimulation (EPS) in differentiated C2C12 myotubes at low and high frequency, carried out metabolome and transcriptome analyses, and investigated phosphorylation status of signaling molecules. EPS triggered extensive and specific changes in metabolites, signaling phosphorylation, and gene expression during and after EPS in a frequency-dependent manner. We constructed trans-omic network by integrating these data and found selective activation of the pentose phosphate pathway including metabolites, upstream signaling molecules, and gene expression of metabolic enzymes after high-frequency EPS. We experimentally validated that activation of these molecules after high-frequency EPS was dependent on reactive oxygen species (ROS). Thus, the trans-omic analysis revealed ROS-dependent activation in signal transduction, metabolome, and transcriptome after high-frequency EPS in C2C12 myotubes, shedding light on possible mechanisms of muscle adaptation.

Most viruses inhibit the innate immune system and/or the RNA degradation processes of host cells to construct an advantageous intracellular environment for their survival. Characteristic RNA sequences within RNA virus genomes or RNAs transcribed from DNA virus genomes contribute toward this inhibition. In this study, we developed a method called “Fate-seq” to comprehensively identify the RNA sequences derived from RNA and DNA viruses, contributing RNA stability in the cells. We examined the stabilization activity of 5,924 RNA fragments derived from 26 different viruses (16 RNA viruses and 10 DNA viruses) using next-generation sequencing of these RNAs fused 3′ downstream of GFP reporter RNA. With the Fate-seq approach, we detected multiple virus-derived RNA sequences that stabilized GFP reporter RNA, including sequences derived from severe acute respiratory syndrome-related coronavirus (SARS-CoV). Comparative genomic analysis revealed that these RNA sequences and their predicted secondary structures are highly conserved between SARS-CoV and the novel coronavirus, SARS-CoV-2, which is responsible for the global outbreak of the coronavirus-associated disease that emerged in December 2019 (COVID-19). These sequences have the potential to enhance the stability of viral RNA genomes, thereby augmenting viral replication efficiency and virulence., Highlights • RNA stability is an important regulator for viral life-cycle. • Fate-seq enables measurement of stabilization activity of RNAs derived from viruses. • Conserved sequences among coronaviruses including SARS-CoV-2 have stabilizing activity.

Summary The concentrations of insulin selectively regulate multiple cellular functions. To understand how insulin concentrations are interpreted by cells, we constructed a trans-omic network of insulin action in FAO hepatoma cells using transcriptomic data, western blotting analysis of signaling proteins, and metabolomic data. By integrating sensitivity into the trans-omic network, we identified the selective trans-omic networks stimulated by high and low doses of insulin, denoted as induced and basal insulin signals, respectively. The induced insulin signal was selectively transmitted through the pathway involving Erk to an increase in the expression of immediate-early and upregulated genes, whereas the basal insulin signal was selectively transmitted through a pathway involving Akt and an increase of Foxo phosphorylation and a reduction of downregulated gene expression. We validated the selective trans-omic network in vivo by analysis of the insulin-clamped rat liver. This integrated analysis enabled molecular insight into how liver cells interpret physiological insulin signals to regulate cellular functions., Graphical Abstract, Highlights • We constructed a trans-omic network of insulin action using multi-omic data • The trans-omic network integrates phosphorylation, transcription, and metabolism • We divided induced- and basal-insulin-dependent trans-omic network by sensitivity • Induced and basal insulin triggered selective trans-omic network in the liver, Systems Biology; Omics; Metabolomics; Transcriptomics

SUMMARYThe concentration and temporal pattern of insulin selectively regulate multiple cellular functions. To understand how insulin dynamics are interpreted by cells, we constructed a trans-omic network of insulin action in FAO hepatoma cells from three networks—a phosphorylation-dependent cellular functions regulatory network using phosphoproteomic data, a transcriptional regulatory network using phosphoproteomic and transcriptomic data, and a metabolism regulatory network using phosphoproteomic and metabolomic data. With the trans-omic regulatory network, we identified selective regulatory networks that mediate differential responses to insulin. Akt and Erk, hub molecules of insulin signaling, encode information of a wide dynamic range of dose and time of insulin. Down-regulated genes and metabolites in glycolysis had high sensitivity to insulin (fasting insulin signal); up-regulated genes and dicarboxylic acids in the TCA cycle had low sensitivity (fed insulin signal). This integrated analysis enables molecular insight into how cells interpret physiologically fed and fasting insulin signals.HighlightsWe constructed a trans-omic network of insulin action using multi-omic data.The trans-omic network integrates phosphorylation, transcription, and metabolism.We classified signaling, transcriptome, and metabolome by sensitivity to insulin.We identified fed and fasting insulin signal flow across the trans-omic network.

UTokyo Research掲載「細胞内のビッグデータから大規模ネットワークの再構築に成功」URI: http://www.u-tokyo.ac.jp/ja/utokyo-research/research-news/reconstruction-of-molecular-network-from-cellular-big-data/, UTokyo Research "Reconstruction of molecular network from cellular big data" URI: http://www.u-tokyo.ac.jp/en/utokyo-research/research-news/reconstruction-of-molecular-network-from-cellular-big-data/

Basic information on the molecular weights and structures of poly(p-phenylene) PPP, poly(m-phenylene) PMP, poly(thiophene-2,5-diyl) PTh, and related copolymers has been obtained. PPPs prepared by a Ni-catalyzed dehalogenative polycondensation of p-C6H4Br2 with Mg (PPP(Ni)) and an oxidative polymerization of benzene using CuCl2 (PPP(Cu)) became soluble in DMF after nitration. The nitration proceeded essentially without crosslinking, and GPC analysis gave Mn values of 8300 and 6100 for nitrated PPP(Ni) and PPP(Cu), respectively. Light scattering analysis indicated that nitrated PPP(Ni) and PPP(Cu) assumed a rather stiff structure in DMF with ρv (degree of depolarization) in the range of 0.12−0.13. PMP and PTh also became soluble in DMF after nitration, and GPC analysis of nitrated PMP and PTh gave Mn values of 5500 and 8500, respectively. Light scattering analysis of nitrated PTh gave a ρv of 0.33, which indicated that the polymer had a stiff structure in DMF. Copolymers of p-phenylene (PP) and m-phenylene ...