Tutto DSpace

Sfoglia per Soggetto "Gene Regulatory Networks"

Items 1-16 di 16

    • Characterizing miRNA–lncRNA Interplay 

      Karagkouni D., Karavangeli A., Paraskevopoulou M.D., Hatzigeorgiou A.G. (2021)
      Long noncoding RNAs (lncRNAs) are noncoding transcripts, usually longer than 200 nt, that constitute one of the largest and significantly heterogeneous RNA families. The annotation of lncRNAs and the characterization of ...

    • Computational genomic analysis of PARK7 interactome reveals high BBS1 gene expression as a prognostic factor favoring survival in malignant pleural mesothelioma 

      Vavougios G.D., Solenov E.I., Hatzoglou C., Baturina G.S., Katkova L.E., Molyvdas P.A., Gourgoulianis K.I., Zarogiannis S.G. (2015)
      The aim of our study was to assess the differential gene expression of Parkinson protein 7 (PARK7) interactome in malignant pleural mesothelioma (MPM) using data mining techniques to identify novel candidate genes that may ...

    • Delineation and interpretation of gene networks towards their effect in cellular physiology- a reverse engineering approach for the identification of critical molecular players, through the use of ontologies 

      Moutselos, K.; Maglogiannis, I.; Chatziioannou, A. (2010)
      Exploiting ontologies, provides clues regarding the involvement of certain molecular processes in the cellular phenotypic manifestation. However, identifying individual molecular actors (genes, proteins, etc.) for targeted ...

    • Epigenetic regulation of apoptosis via the PARK7 interactome in peripheral blood mononuclear cells donated by tuberculosis patients vs. healthy controls and the response to treatment: A systems biology approach 

      Vavougios G.D., Zarogiannis S.G., Krogfelt K.A., Stamoulis G., Gourgoulianis K.I. (2020)
      Aims: The aims of our study were to determine for the first time differentially expressed genes (DEGs) and enriched molecular pathways involving the PARK7 interactome in PBMCs donated from tuberculosis patients. Methods: ...

    • Genetic sharing with cardiovascular disease risk factors and diabetes reveals novel bone mineral density loci 

      Reppe S., Wang Y., Thompson W.K., McEvoy L.K., Schork A.J., Zuber V., LeBlanc M., Bettella F., Mills I.G., Desikan R.S., Djurovic S., Gautvik K.M., Dale A.M., Andreassen O.A., Estrada K., Styrkarsdottir U., Evangelou E., Hsu Y.-H., Duncan E.L., Ntzani E.E., Oei L., Albagha O.M.E., Amin N., Kemp J.P., Koller D.L., Li G., Liu C.-T., Minster R.L., Moayyeri A., Vandenput L., Willner D., Xiao S.-M., Yerges-Armstrong L.M., Zheng H.-F., Alonso N., Eriksson J., Kammerer C.M., Kaptoge S.K., Leo P.J., Thorleifsson G., Wilson S.G., Wilson J.F., Aalto V., Alen M., Aragaki A.K., Aspelund T., Center J.R., Dailiana Z., Duggan D.J., Garcia M., Garcia-Giralt N., Giroux S., Hallmans G., Hocking L.J., Husted L.B., Jameson K.A., Khusainova R., Kim G.S., Kooperberg C., Koromila T., Kruk M., Laaksonen M., Lacroix A.Z., Lee S.H., Leung P.C., Lewis J.R., Masi L., Mencej-Bedrac S., Nguyen T.V., Nogues X., Patel M.S., Prezelj J., Rose L.M., Scollen S., Siggeirsdottir K., Smith A.V., Svensson O., Trompet S., Trummer O., Van Schoor N.M., Woo J., Zhu K., Balcells S., Brandi M.L., Buckley B.M., Cheng S., Christiansen C., Cooper C., Dedoussis G., Ford I., Frost M., Goltzman D., González-Macías J., Kähönen M., Karlsson M., Khusnutdinova E., Koh J.-M., Kollia P., Langdahl B.L., Leslie W.D., Lips P., Ljunggren Ö., Lorenc R.S., Marc J., Mellström D., Obermayer-Pietsch B., Olmos J.M., Pettersson-Kymmer U., Reid D.M., Riancho J.A., Ridker P.M., Rousseau F., Slagboom P.E., Tang N.L.S., Urreizti R., Van Hul W., Viikari J., Zarrabeitia M.T., Aulchenko Y.S., Castano-Betancourt M., Grundberg E., Herrera L., Ingvarsson T., Johannsdottir H., Kwan T., Li R., Luben R., Medina-Gómez C., Palsson S.Th., Rotter J.I., Sigurdsson G., Van Meurs J.B.J., Verlaan D., Williams F.M.K., Wood A.R., Zhou Y., Pastinen T., Raychaudhuri S., Cauley J.A., Chasman D.I., Clark G.R., Cummings S.R., Danoy P., Dennison E.M., Eastell R., Eisman J.A., Gudnason V., Hofman A., Jackson R.D., Jones G., Jukema J.W., Khaw K.-T., Lehtimäki T., Liu Y., Lorentzon M., McCloskey E., Mitchell B.D., Nandakumar K., Nicholson G.C., Oostra B.A., Peacock M., Pols H.A.P., Prince R.L., Raitakari O., Reid I.R., Robbins J., Sambrook P.N., Sham P.C., Shuldiner A.R., Tylavsky F.A., Van Duijn C.M., Wareham N.J., Cupples L.A., Econs M.J., Evans D.M., Harris T.B., Kung A.W.C., Psaty B.M., Reeve J., Spector T.D., Streeten E.A., Zillikens M.C., Thorsteinsdottir U., Ohlsson C., Karasik D., Richards J.B., Brown M.A., Stefansson K., Uitterlinden A.G., Ralston S.H., Ioannidis J.P.A., Kiel D.P., Rivadeneira F., GEFOS Consortium (2015)
      Bone Mineral Density (BMD) is a highly heritable trait, but genome-wide association studies have identified few genetic risk factors. Epidemiological studies suggest associations between BMD and several traits and diseases, ...

    • Identification of gene expression profiles in myocardial infarction: A systematic review and meta-analysis 

      Kontou P., Pavlopoulou A., Braliou G., Bogiatzi S., Dimou N., Bangalore S., Bagos P. (2018)
      Background: Myocardial infarction (MI) is a multifactorial disease with complex pathogenesis, mainly the result of the interplay of genetic and environmental risk factors. The regulation of thrombosis, inflammation and ...

    • Interactome networks between the human respiratory syncytial virus (HRSV), the human metapneumovirus (ΗMPV), and their host: In silico investigation and comparative functional enrichment analysis 

      Rouka E., Hatzoglou C., Gourgoulianis K.I., Zarogiannis S.G. (2020)
      Background and objectives: Human respiratory syncytial virus (HRSV) and human metapneumovirus (HMPV) are leading causes of upper and lower respiratory tract infections in non-immunocompetent subjects, yet the mechanisms ...

    • Interactome of obesity: Obesidome: Genetic obesity, stress induced obesity, pathogenic obesity interaction 

      Geronikolou S.A., Pavlopoulou A., Cokkinos D., Chrousos G. (2017)
      Obesity is a chronic disease of increasing prevalence reaching epidemic proportions. Genetic defects as well as epigenetic effects contribute to the obesity phenotype. Investigating gene (e.g. MC4R defects)-environment ...

    • Interleukin 21 controls mRNAand MicroRNA expression in CD40-activated chronic lymphocytic leukemia cells 

      De Cecco L., Capaia M., Zupo S., Cutrona G., Matis S., Brizzolara A., Orengo A.M., Croce M., Marchesi E., Ferrarini M., Canevari S., Ferrini S., Speletas M. (2015)
      Several factors support CLL cell survival in the microenvironment. Under different experimental conditions, IL21 can either induce apoptosis or promote CLL cell survival. To investigate mechanisms involved in the effects ...

    • Meta-analysis and bioinformatics detection of susceptibility genes in diabetic nephropathy 

      Tziastoudi M., Cholevas C., Theoharides T.C., Stefanidis I. (2022)
      The latest meta-analysis of genome-wide linkage studies (GWLS) identified nine cytogenetic locations suggestive of a linkage with diabetic nephropathy (DN) due to type 1 diabetes mellitus (T1DM) and seven locations due to ...

    • NAP: The Network Analysis Profiler, a web tool for easier topological analysis and comparison of medium-scale biological networks 

      Theodosiou T., Efstathiou G., Papanikolaou N., Kyrpides N.C., Bagos P.G., Iliopoulos I., Pavlopoulos G.A. (2017)
      Objective: Nowadays, due to the technological advances of high-throughput techniques, Systems Biology has seen a tremendous growth of data generation. With network analysis, looking at biological systems at a higher level ...

    • Network analysis of genes and their association with diseases 

      Kontou P.I., Pavlopoulou A., Dimou N.L., Pavlopoulos G.A., Bagos P.G. (2016)
      A plethora of network-based approaches within the Systems Biology universe have been applied, to date, to investigate the underlying molecular mechanisms of various human diseases. In the present study, we perform a ...

    • Novel candidate genes of the PARK7 interactome as mediators of apoptosis and acetylation in multiple sclerosis: An in silico analysis 

      Vavougios G.D., Zarogiannis S.G., Krogfelt K.A., Gourgoulianis K., Mitsikostas D.D., Hadjigeorgiou G. (2018)
      Background currently only 4 studies have explored the potential role of PARK7's dysregulation in MS pathophysiology Currently, no study has evaluated the potential role of the PARK7 interactome in MS. Objective The aim of ...

    • Serum microRNA array analysis identifies miR-140-3p, miR-33b-3p and miR-671-3p as potential osteoarthritis biomarkers involved in metabolic processes 

      Ntoumou E., Tzetis M., Braoudaki M., Lambrou G., Poulou M., Malizos K., Stefanou N., Anastasopoulou L., Tsezou A. (2017)
      Background: MicroRNAs (miRNAs) in circulation have emerged as promising biomarkers. In this study, we aimed to identify a circulating miRNA signature for osteoarthritis (OA) patients and in combination with bioinformatics ...

    • Transcriptional regulatory networks of the proteasome in mammalian systems 

      Kapetanou M., Athanasopoulou S., Gonos E.S. (2022)
      The tight regulation of proteostasis is essential for physiological cellular function. Mammalian cells possess a network of mechanisms that ensure proteome integrity under normal or stress conditions. The proteasome, being ...

    • A transcriptome-wide association study based on 27 tissues identifies 106 genes potentially relevant for disease pathology in age-related macular degeneration 

      Strunz T., Lauwen S., Kiel C., Fritsche L.G., Igl W., Bailey J.N.C., Grassmann F., Sengupta S., Bragg-Gresham J.L., Burdon K.P., Hebbring S.J., Wen C., Gorski M., Kim I.K., Cho D., Zack D., Souied E., Scholl H.P.N., Bala E., Lee K.E., Hunter D.J., Sardell R.J., Mitchell P., Merriam J.E., Cipriani V., Hoffman J.D., Schick T., Lechanteur Y.T.E., Guymer R.H., Johnson M.P., Jiang Y., Stanton C.M., Buitendijk G.H.S., Zhan X., Kwong A.M., Boleda A., Brooks M., Gieser L., Ratnapriya R., Branham K.E., Foerster J.R., Heckenlively J.R., Othman M.I., Vote B.J., Liang H.H., Souzeau E., McAllister I.L., Isaacs T., Hall J., Lake S., Mackey D.A., Constable I.J., Craig J.E., Kitchner T.E., Yang Z., Su Z., Luo H., Chen D., Ouyang H., Flagg K., Lin D., Mao G., Ferreyra H., Stark K., Strachwitz C.N., Wolf A., Brandl C., Rudolph G., Olden M., Morrison M.A., Morgan D.J., Schu M., Ahn J., Silvestri G., Tsironi E.E., Park K.H., Farrer L.A., Orlin A., Brucker A., Li M., Curcio C., Mohand-Saïd S., Sahel J.-A., Audo I., Benchaboune M., Cree A.J., Rennie C.A., Goverdhan S.V., Grunin M., Hagbi-Levi S., Campochiaro P., Katsanis N., Holz F.G., Blond F., Blanché H., Deleuze J.-F., Igo R.P., Jr., Truitt B., Peachey N.S., Meuer S.M., Myers C.E., Moore E.L., Klein R., Hauser M.A., Postel E.A., Courtenay M.D., Schwartz S.G., Kovach J.L., Scott W.K., Liew G., Tfan A.G., Gopinath B., Merriam J.C., Smith R.T., Khan J.C., Shahid H., Moore A.T., McGrath J.A., Laux R., Brantley M.A., Jr., Agarwal A., Ersoy L., Caramoy A., Langmann T., Saksens N.T.M., Jong E.K., Hoyng C.B., Cain M.S., Richardson A.J., Martin T.M., Blangero J., Weeks D.E., Dhillon B., Duijn C.M., Doheny K.F., Romm J., Klaver C.C.W., Hayward C., Gorin M.B., Klein M.L., Baird P.N., Hollander A.I., Fauser S., Yates J.R.W., Allikmets R., Wang J.J., Schaumberg D.A., Klein B.E.K., Hagstrom S.A., Chowers I., Lotery A.J., Léveillard T., Zhang K., Brilliant M.H., Hewitt A.W., Swaroop A., Chew E.Y., Pericak-Vance M.A., DeAngelis M., Stambolian D., Haines J.L., Iyengar S.K., Weber B.H.F., Abecasis G.R., Heid I.M., Hollander A., Weber B.H.F., International AMD Genomics Consortium (IAMDGC) (2020)
      Genome-wide association studies (GWAS) for late stage age-related macular degeneration (AMD) have identified 52 independent genetic variants with genome-wide significance at 34 genomic loci. Typically, such an approach ...