A Thermodynamic-Based Interpretation of Protein Expression Heterogeneity in Different Glioblastoma Multiforme Tumors Identifies Tumor-Specific Unbalanced Processes
| العنوان: | A Thermodynamic-Based Interpretation of Protein Expression Heterogeneity in Different Glioblastoma Multiforme Tumors Identifies Tumor-Specific Unbalanced Processes |
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| المؤلفون: | Forest M. White, Hannah Johnson, Raphael D. Levine, Nataly Kravchenko-Balasha, James R. Heath |
| المصدر: | The Journal of Physical Chemistry B. 120:5990-5997 |
| بيانات النشر: | American Chemical Society (ACS), 2016. |
| سنة النشر: | 2016 |
| مصطلحات موضوعية: | 0301 basic medicine, Dasatinib, Tumor specific, Computational biology, Biology, Article, Protein expression, Erlotinib Hydrochloride, Genetic Heterogeneity, 03 medical and health sciences, Genes, Reporter, Antineoplastic Combined Chemotherapy Protocols, Materials Chemistry, medicine, Humans, Molecular Targeted Therapy, Physical and Theoretical Chemistry, Brain Neoplasms, Genetic heterogeneity, Computational Biology, Phosphoproteins, medicine.disease, Neoplasm Proteins, Surfaces, Coatings and Films, ErbB Receptors, Gene Expression Regulation, Neoplastic, 030104 developmental biology, Imatinib mesylate, Imatinib Mesylate, Thermodynamics, Glioblastoma, Signal Transduction |
| الوصف: | We describe a thermodynamic-motivated, information theoretic analysis of proteomic data collected from a series of 8 glioblastoma multiforme (GBM) tumors. GBMs are considered here as prototypes of heterogeneous cancers. That heterogeneity is viewed here as manifesting in different unbalanced biological processes that are associated with thermodynamic-like constraints. The analysis yields a molecular description of a stable steady state that is common across all tumors. It also resolves molecular descriptions of unbalanced processes that are shared by several tumors, such as hyperactivated phosphoprotein signaling networks. Further, it resolves unbalanced processes that provide unique classifiers of tumor subgroups. The results of the theoretical interpretation are compared against those of statistical multivariate methods and are shown to provide a superior level of resolution for identifying unbalanced processes in GBM tumors. The identification of specific constraints for each GBM tumor suggests tumor-specific combination therapies that may reverse this imbalance. |
| وصف الملف: | application/pdf; application/vnd.ms-excel |
| تدمد: | 1520-5207 1520-6106 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85324c1ceada34c2aa4fe3cd9b0c0bc8Test https://doi.org/10.1021/acs.jpcb.6b01692Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....85324c1ceada34c2aa4fe3cd9b0c0bc8 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 15205207 15206106 |
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