10 research outputs found
Imputation of missing genotypes within LD-blocks relying on the basic coalescent and beyond: consideration of population growth and structure
Longer latency of sensory response to intravenous odor injection predicts olfactory neural disorder
Effects of Delipidation and Oxygen Concentration on In Vitro Development of Porcine Embryos
Super-resolution microscopy compatible fluorescent probes reveal endogenous glucagon-like peptide-1 receptor distribution and dynamics
Control of pathogenic effector T-cell activities in situ by PD-L1 expression on respiratory inflammatory dendritic cells during respiratory syncytial virus infection
Inactivation of Genes for Antigenic Variation in the Relapsing Fever Spirochete Borrelia hermsii Reduces Infectivity in Mice and Transmission by Ticks
Systems Biology approach to metabolomics in cancer studies
The astonishing development of high-throughput techniques in the last decades has fostered a renewed, dynamical comprehension of cell and tissue metabolism, giving unexpected insights into the ‘systemic aspects’ of cancer, namely pointing out that metabolism should be considered a truly “systems property. Both internal and microenvironmental cues tightly cooperate in shaping tissue metabolomic fingerprint. tumour metabolome hardly could be mechanistically linked to the linear dynamics of few gene regulatory networks; otherwise it is likely to be the complex end point of several interacting non-linear pathways, involving both cells and their microenvironment. As such, tumour metabolism might be considered an emerging, “systems property”, arising at the integrated scale of the whole system and behaving like an “attractor” in a specific space phase defined by thermodynamic constraints . Therefore, metabolomics ‘strategies’ are settled in order to understand complex biological systems from an integrated (‘holistic’) point of view. Metabolomics measurements are hence correlated with the time-dependent changes in concentrations of other components (proteins, gene-expression data), in order to obtain an integrated model of the gene-protein-metabolite interactions. Such framework represents a meaningful discontinuity with respect to the reductionist and qualitative molecular biology, and discloses new perspective to scientific researc