• Title/Summary/Keyword: Network biology

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Incredible RNA: Dual Functions of Coding and Noncoding

  • Nam, Jin-Wu;Choi, Seo-Won;You, Bo-Hyun
    • Molecules and Cells
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    • v.39 no.5
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    • pp.367-374
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    • 2016
  • Since the RNA world hypothesis was proposed, a large number of regulatory noncoding RNAs (ncRNAs) have been identified in many species, ranging from microorganisms to mammals. During the characterization of these newly discovered RNAs, RNAs having both coding and noncoding functions were discovered, and these were considered bifunctional RNAs. The recent use of computational and high-throughput experimental approaches has revealed increasing evidence of various sources of bifunctional RNAs, such as protein-coding mRNAs with a noncoding isoform and long ncRNAs bearing a small open reading frame. Therefore, the genomic diversity of Janusfaced RNA molecules that have dual characteristics of coding and noncoding indicates that the functional roles of RNAs have to be revisited in cells on a genome-wide scale. Such studies would allow us to further understand the complex gene-regulatory network in cells. In this review, we discuss three major genomic sources of bifunctional RNAs and present a handful of examples of bifunctional RNA along with their functional roles.

Gene Expression Changes Associated with Sustained p16 Expression in Hepatocellular Carcinoma Cells (간암세포주에서 지속적인 p16 단백질발현이 유도하는 유전자발현의 변화)

  • Oh, Sang-Jin;Im, Ji-Young;Jung, Che-Hun;Lee, Yong-Bok
    • IMMUNE NETWORK
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    • v.4 no.4
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    • pp.237-243
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    • 2004
  • Background: The normal functions of the cell cycle inhibitor p16INK4a are frequently inactivated in many human cancers. Over 80% of hepatocellular carcinoma (HCC) cases lack a functional p16/Rb pathway. p16/Rb pathway, as well as p53 pathway, is considered as one of key components of tumor suppression. Methods: To study the roles of p16INK4a in HCC, a stable cell line expressing exogenous p16 was generated from SNU-449 hepatocellular carcinoma cells lacking endogenous p16, and suppression subtractive hybridization (SSH) was performed in parallel with the control cells. Results: 1) SSH identifies fibronectin (FN1), crystallin ${\alpha}B$ (CRYAB), Rac1, WASP, RhoGEF, and CCT3 as differentially-expressed genes. 2) Among the selected genes, the up-regulation of FN1 and CRYAB was confirmed by Northern blot, RT-PCR and by proteomic methods. Conclusion: These genes are likely to be associated with the induction of stress fiber and stabilization of cytoskeleton. Further studies are required to clarify the possible role of p16 in the signal transduction pathway.

Phylogenetic Analysis of Mitochondrial DNA Control Region in the Swimming Crab, Portunus trituberculatus

  • Cho, Eun-Min;Min, Gi-Sik;Kanwal, Sumaira;Hyun, Young-Se;Park, Sun-Wha;Chung, Ki-Wha
    • Animal cells and systems
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    • v.13 no.3
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    • pp.305-314
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    • 2009
  • The control region of mitochondrial DNA (13516-14619) is located between srRNA and $tRNA^{lle}$ gene in swimming crab, Portunus trituberculatus. The present study was investigated the genetic polymorph isms of the control region in samples of P. trituberculatus collected at coastal waters of the Yellow Sea in Korea. A total of 300 substitution and indel polymorphic sites were identified. In addition to SNPs and indel variation, a hypervariable microsatellite motif was also identified at position from 14358 to 14391, which exhibited 10 alleles including 53 different suballeles. When the hypervariable microsatellite motif was removed from the alignment, 95 haplotypes were identified (93 unique haplotypes). The nucleotide and haplotype diversities were ranged from 0.024 to 0.028 and from 0.952 to 1.000, respectively. The statistically significant evidence for geographical structure was not detected from the analyses of neighbor-joining tree and minimum-spanning network, neither. This result suggest that population of P. trituberculatus are capable of extensive gene flow among populations. We believed that the polymorph isms of the control region will be used for informative markers to study phylogenetic relationships of P. trituberculatus.

Proteomics in Rheumatoid Arthritis Research

  • Park, Yune-Jung;Chung, Min Kyung;Hwang, Daehee;Kim, Wan-Uk
    • IMMUNE NETWORK
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    • v.15 no.4
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    • pp.177-185
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    • 2015
  • Although rheumatoid arthritis (RA) is the most common chronic inflammatory autoimmune disease, diagnosis of RA is currently based on clinical manifestations, and there is no simple, practical assessment tool in the clinical field to assess disease activity and severity. Recently, there has been increasing interest in the discovery of new diagnostic RA biomarkers that can assist in evaluating disease activity, severity, and treatment response. Proteomics, the large-scale study of the proteome, has emerged as a powerful technique for protein identification and characterization. For the past 10 years, proteomic techniques have been applied to different biological samples (synovial tissue/fluid, blood, and urine) from RA patients and experimental animal models. In this review, we summarize the current state of the application of proteomics in RA and its importance in identifying biomarkers and treatment targets.

The Role of High-throughput Transcriptome Analysis in Metabolic Engineering

  • Jewett, Michael C.;Oliveira, Ana Paula;Patil, Kiran Raosaheb;Nielsen, Jens
    • Biotechnology and Bioprocess Engineering:BBE
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    • v.10 no.5
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    • pp.385-399
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    • 2005
  • The phenotypic response of a cell results from a well orchestrated web of complex interactions which propagate from the genetic architecture through the metabolic flux network. To rationally design cell factories which carry out specific functional objectives by controlling this hierarchical system is a challenge. Transcriptome analysis, the most mature high-throughput measurement technology, has been readily applied In strain improvement programs in an attempt to Identify genes involved in expressing a given phenotype. Unfortunately, while differentially expressed genes may provide targets for metabolic engineering, phenotypic responses are often not directly linked to transcriptional patterns, This limits the application of genome-wide transcriptional analysis for the design of cell factories. However, improved tools for integrating transcriptional data with other high-throughput measurements and known biological interactions are emerging. These tools hold significant promise for providing the framework to comprehensively dissect the regulatory mechanisms that identify the cellular control mechanisms and lead to more effective strategies to rewire the cellular control elements for metabolic engineering.

Antioxidant enzymes as redox-based biomarkers: a brief review

  • Yang, Hee-Young;Lee, Tae-Hoon
    • BMB Reports
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    • v.48 no.4
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    • pp.200-208
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    • 2015
  • The field of redox proteomics focuses to a large extent on analyzing cysteine oxidation in proteins under different experimental conditions and states of diseases. The identification and localization of oxidized cysteines within the cellular milieu is critical for understanding the redox regulation of proteins under physiological and pathophysiological conditions, and it will in turn provide important information that are potentially useful for the development of novel strategies in the treatment and prevention of diseases associated with oxidative stress. Antioxidant enzymes that catalyze oxidation/reduction processes are able to serve as redox biomarkers in various human diseases, and they are key regulators controlling the redox state of functional proteins. Redox regulators with antioxidant properties related to active mediators, cellular organelles, and the surrounding environments are all connected within a network and are involved in diseases related to redox imbalance including cancer, ischemia/reperfusion injury, neurodegenerative diseases, as well as normal aging. In this review, we will briefly look at the selected aspects of oxidative thiol modification in antioxidant enzymes and thiol oxidation in proteins affected by redox control of antioxidant enzymes and their relation to disease. [BMB Reports 2015; 48(4): 200-208]

A Machine Learning Based Method for the Prediction of G Protein-Coupled Receptor-Binding PDZ Domain Proteins

  • Eo, Hae-Seok;Kim, Sungmin;Koo, Hyeyoung;Kim, Won
    • Molecules and Cells
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    • v.27 no.6
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    • pp.629-634
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    • 2009
  • G protein-coupled receptors (GPCRs) are part of multi-protein networks called 'receptosomes'. These GPCR interacting proteins (GIPs) in the receptosomes control the targeting, trafficking and signaling of GPCRs. PDZ domain proteins constitute the largest protein family among the GIPs, and the predominant function of the PDZ domain proteins is to assemble signaling pathway components into close proximity by recognition of the last four C-terminal amino acids of GPCRs. We present here a machine learning based approach for the identification of GPCR-binding PDZ domain proteins. In order to characterize the network of interactions between amino acid residues that contribute to the stability of the PDZ domain-ligand complex and to encode the complex into a feature vector, amino acid contact matrices and physicochemical distance matrix were constructed and adopted. This novel machine learning based method displayed high performance for the identification of PDZ domain-ligand interactions and allowed the identification of novel GPCR-PDZ domain protein interactions.

Design of Adaptive Neural Tracking Controller for Pod Propulsion Unmanned Vessel Subject to Unknown Dynamics

  • Mu, Dong-Dong;Wang, Guo-Feng;Fan, Yun-Sheng
    • Journal of Electrical Engineering and Technology
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    • v.12 no.6
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    • pp.2365-2377
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    • 2017
  • This paper addresses two interrelated problems concerning the tracking control of pod propulsion unmanned surface vessel (USV), namely, the modeling of pod propulsion USV, and tracking controller design. First, based on MMG modeling theory, the model of pod propulsion USV is derived. Furthermore, a practical adaptive neural tracking controller is proposed by backstepping technique, neural network approximation and adaptive method. Meanwhile, unlike some existing tracking methods for surface vessel whose control algorithms suffer from "explosion of complexity", a novel neural shunting model is introduced to solve the problem. Using a Lyapunov functional, it is proven that all error signals in the system are uniformly ultimately bounded. The advantages of the paper are that first, the underactuated characteristic of pod propulsion USV is proved; second, the neural shunting model is used to solve the problem of "explosion of complexity", and this is a combination of knowledge in the field of biology and engineering; third, the developed controller is able to capture the uncertainties without the exact information of hydrodynamic damping structure and the sea disturbances. Numerical examples have been given to illustrate the performance and effectiveness of the proposed scheme.

Inhibitory Effect of Paeoniflorin on Fos-Jun-DNA Complex Formation and Stimulation of Apoptosis in HL-60 Cells

  • Kwon, Hae-Young;Kim, Kyoung-Su;Park, Se-Yeon;Lee, Dug-Keun;Yang, Chul-Hak
    • BMB Reports
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    • v.34 no.1
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    • pp.28-32
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    • 2001
  • The Fos-Jun heterodimers are part of the regulatory network of gene expression and nuclear proteins encoded by proto-oncogenes. The activation of Fos-Jun is important in the transmission of the tumor-promoting signal from the extracellular environment to the nuclear transcription mechanism. To search for the inhibitors of the Fos-Jun DNA complex formation, several natural products were screened and water-soluble paeoniflorin reduced the binding activity of the Fos-Jun heterodimer. This active compound was purified by silica gel column chromatography and HPLC. The electrophoresis mobility shift assay and reverse-phase HPLC test showed that paeoniflorin reduced the AP-l function. The cytotoxic effect of paeoniflorin was observed in HL-60. These results indicate that paeoniflorin blocks the Fos-Jun heterodimer-binding site of the AP-l DNA and it also has cytotoxic effects on human leukemia cell lines.

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Ascophyllum and Its Symbionts. VIII. Interactions Among Ascophyllum nodosum (Phaeophyceae), Mycophycias ascophylli (Ascomycetes) and Elachista fucicola (Phaeophyceae)

  • Deckert, Ronald J.;Garbary, David J.
    • ALGAE
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    • v.20 no.4
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    • pp.363-368
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    • 2005
  • The brown alga Ascophyllum nodosum and its mutualistic, ascomycete symbiont, Mycophycias ascophylli, form a complex ‘rganism’or symbiotum. Here we show the interaction of the symbiotum to the abundant brown algal epiphyte, Elachista fucicola. Microscopy of field-collected plants shows morphological responses of A. nodosum to the common epiphyte E. fucicola. When E. fucicola attaches to A. nodosum a bundle of several to dozens of rhizoids penetrates into the host. On the surface of the host, the cells proliferate to form a donut-shaped ring, 100-200 μm in height that surrounds the thallus of E. fucicola. A pit forms in advance of the rhizoids and the cells of A. nodosum break down. This leaves the network of fungal hyphae partially intact and intermingling with the epiphyte rhizoids and its lowermost cells. After the pit is formed, the cells of A. nodosum bordering the infection chamber redifferentiate an epidermal layer. Neither the host nor its mutualistic fungus, M. ascophylli appears to recognize E. fucicola as an invader and to prevent the attachment and growth of this epiphyte. Based on the physical damage to the host caused by invading rhizoids, we conclude that the relationship of E. fucicola to A. nodosum is that of a parasite and its host.