TY  - JOUR
AU  - Capobianco, Enrico
PY  - 2020
DA  - 2020/12/30
TI  - Transcriptome Signatures of Dysregulated Brain Dynamics Induce Entangled Network States.
JO  - OBM Neurobiology
SP  - 077
VL  - 04
IS  - 04
AB  - Marks of brain disorders may be visible through abnormal networks characterized by states with distinct signatures or connectivity patterns. Apart from neurodegenerations, drug abuse or eventually addiction may exert complex perturbative effects over human health, including damage to various organs and especially brain inflammation, volume shrinkage and functional deficits. These can also be regarded as signs of accelerated ageing, which involve multiple comorbidities associated with long-lasting cognitive impairments. The present study investigates drug effects at brain level through transcriptional changes potentially reflecting specific molecular and cellular dysregulation marks. As signatures arising in various brain regions may change, the data here analyzed refer to cross-referenced transcriptome profiles that were in part experimentally measured and in part computed. A methodological aim refers to network inference centered on a few well-characterized entangled states whose connectivity patterns identify clusters and motifs. At the biological annotation level an interesting role is played by the Vascular Endothelial Growth Factor A (VEGFA), a central connector of kinases involved in cytoskeleton rearrangement, synaptogenesis and synaptic functions, neurogenesis, cell growth, cell adhesion, neurohormone signaling apoptosis. VEGFA associations in both co-expression and protein-protein interaction networks reveal patterns linked to MCL1, a BCL2 family Apoptosis regulator.
SN  - 2573-4407
UR  - https://doi.org/10.21926/obm.neurobiol.2004077
DO  - 10.21926/obm.neurobiol.2004077
ID  - Capobianco2020
ER  -