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    Identification Of Novel Biomarkers In Ovarian Cancer-Systems Biology Approaches Esra Göv

    Yazar: Esra Göv Yayınevi: Akademisyen Kitabevi

    1. Introduction1.1. RNA-based ovarian cancer research1.1.1. RNA expression profiling in ovarian cancer1.1.2. Expression profiling of microRNAs1.1.3. Ovarian cancer associated signaling pathways1.1.4. Integrative approaches in ovarian cancer research1.2. Ovarian cancer research should meet integrativemulti-omics science1.2.1. Human transcriptional regulatory network1.2.2. Integration of transcriptome data with biologicalnetworks1.2.3. Differential... Devamnı Oku
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    1. Introduction1.1. RNA-based ovarian cancer research1.1.1. RNA expression profiling in ovarian cancer1.1.2. Expression profiling of microRNAs1.1.3. Ovarian cancer associated signaling pathways1.1.4. Integrative approaches in ovarian cancer research1.2. Ovarian cancer research should meet integrativemulti-omics science1.2.1. Human transcriptional regulatory network1.2.2. Integration of transcriptome data with biologicalnetworks1.2.3. Differential co-expression network in ovariancancer1.2.4. Differential interactome in ovarian cancer1.3. Ovarian diseases including polycystic ovarian syndrome(PCOS), ovarian endometriosis and ovarian cancer1.4. Aim of the Study2. Materials and Methods2.1. Reconstruction of transcriptional regulatory networkof H. sapiens2.2. Topological analysis of transcriptionalregulatory networks2.3. Selection of gene expression datasets2.4. Identification of differentially expressed genes2.5. Reconstruction of ovarian cancer specific subnetwork2.6. Analysis of network performance2.7. Robustness analysis2.8. Identification of reporter receptors, membraneproteins, transcription factors and miRNAs2.9. Determination of reporter metabolites2.10. Enrichment analyses of DEGs and reportermetabolites2.11. Comprehensive networks in CEPI, stromaand tumor tissues2.12. Construction of co-expression networks indiseased and healthy states2.13. Determination of network modules and theirdifferential co-expression2.14. Prognostic power analysis of module genes2.15. Identification of transcriptional regulatorynetwork including module genes2.16. Screening the differential expression of themodule in different tumor types2.17. Differential Protein Interactome Analysis2.17.1. Protein interaction data2.17.2. Determination of entropies correspondingto each interaction3. Results and Discussion3.1. A generic transcriptional regulatory network ofH. sapiens was reconstructed3.1.1. The network motifs provide a deeper investigationinto the topological architecture3.1.2. Core network topology endorses the previousfindings on miRNA and gene interactions3.1.3. Target genes may be regulated in cooperation ofregulators3.1.4. A target gene may be regulated by multipleupstream effectors in a hierarchical operation3.1.5. Process-specific subnetworks were alsodominated by hierarchical operation ofregulators3.1.6. Ovarian cancer specific transcriptionalregulatory network3.2. Reporter biomolecules of ovarian cancer wereidentified through network medicine perspective3.2.1. Transcriptomic signatures of ovarian CEPI, stromaand tumor tissues3.2.2. Signaling receivers: reporter receptors andmembrane proteins3.2.3. Regulatory signatures: reporter transcriptionfactors and microRNAs3.2.4. Metabolomic signatures: reporter metabolites3.2.5. Biological insights of transcriptomic signaturesand reporter metabolites3.2.6. Tissue specific comprehensive networks withenriched reporter biomolecules3.3. Differential co-expression analysis reveals a novelprognostic gene module in ovarian cancer3.3.1. Differential gene expression in ovarian cancer3.3.2. Co-expression profiles in ovarian cancer3.3.3. Co-expressed gene modules in diseased andhealthy states3.3.4. The module was differentially co-expressed inovarian cancer3.3.5. Prognostic performance of the gene module3.3.6. Transcriptional regulators of the module genes3.3.7. Differential expression of the module genes indifferent tumor types3.4. Ovarian cancer differential interactome and networkentropy analysis reveal new candidate biomarkers3.4.1. DNA repair responses3.4.2. Alternative splicing mechanisms and abnormalprotein expression in tumor cells3.4.3. Separation of sister chromatids through ESPL13.4.4. Suppression of EGFR-associated proliferation viaEGFR endocytosis and retinoids3.4.5. Nucleocytoplasmic translocation of estrogenreceptor in ovarian cancer3.4.6. Cellular response to malignancies3.5. Integrative and comperative analysis of ovarian diseasespoint out molecular signatures3.5.1. Transcriptomic signatures: Differentiallyexpressed genes3.5.2. Metabolic signatures: Reporter metabolites3.5.3. Regulatory signatures: Reporter TFs andmiRNAs4. Conclusion5. References

    Özellikler

    Hamur Tipi 1. Hamur
    Sayfa Sayısı 172
    Ebat 13,5 X 21
    İlk Baskı Yılı 2020
    Baskı Sayısı 1. Basım
    Dil Türkçe
    Cilt Durumu Ciltsiz
    Basım Tarihi Şubat 2020
    Basım Yeri Türkiye / Ankara
    Boyutlar 13,50 X 21,00 Cm
    Kağıt Tipi 1. Hamur
    Basım Dili Türkçe
    Barkod 9786052588314

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    Yazar Esra Göv