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| http://dx.doi.org/10.7189/jogh.12.03004 | DOI Listing |
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Metabolomic characterisation of the glioblastoma invasive margin reveals a region-specific signature.
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Isocitrate dehydrogenase wild-type glioblastoma (GBM) is characterised by a heterogeneous genetic landscape resulting from dynamic competition between tumour subclones to survive selective pressures. Improvements in metabolite identification and metabolome coverage have led to increased interest in clinically relevant applications of metabolomics. Here, we use liquid chromatography-mass spectrometry and gene expression microarray to profile integrated intratumour metabolic heterogeneity, as a direct functional readout of adaptive responses of subclones to the tumour microenvironment.
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Contemporary latent disease models of psychopathology have shown limited clinical utility and the efficacy of conventional treatments have been disappointing. An alternative approach offers the network approach and a dynamic systems perspective to psychopathology and treatment change. To understand and modify dynamic systems, engineering and mathematics have been relying on principles of network control theory.
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While thermoelectric conversion by a thermocapacitive cycle has been considered a promising green technology for low-grade heat recovery, our study finds that its practical feasibility is overestimated. During thermal charging, the coexistence and dynamic competition between thermal-induced voltage rise and self-discharge lead to the limitations of the thermocapacitive cycle. Therefore, the operational conditions in the charge-heat-discharge steps seriously restrict the thermal charging performance.
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