AUTOMATED CALCIUM IMAGE ANALYSIS OF NEURONS DERIVED FROM PLURIPOTENT STEM CELLSHachi, Siham ![]() Doctoral thesis (2018) Detailed reference viewed: 122 (8 UL) Derivation of Human Midbrain-Specific Organoids from Neuroepithelial Stem CellsMonzel, Anna Sophia ; Smits, Lisa ; Hemmer, Kathrin et alin Stem Cell Reports (2017) Detailed reference viewed: 901 (52 UL) Automated micro uidic cell culture of stem cell derived dopaminergic neurons in Parkinson's diseaseKane, Khalid ; Lucumi Moreno, Edinson ; Hachi, Siham et alin bioRxiv (2017) Detailed reference viewed: 256 (16 UL) Differentiation of neuroepithelial stem cells into functional dopaminergic neurons in 3D microfluidic cell cultureLucumi Moreno, Edinson ; Hachi, Siham ; Hemmer, Kathrin et alin Lab on a Chip - Miniaturisation for Chemistry and Biology (2015), 15 Detailed reference viewed: 705 (55 UL) A constraint-based modelling approach to metabolic dysfunction in Parkinson's diseaseMao, Longfei ; Nicolae, Averina ; Oliveira, Miguel et alin Computational and Structural Biotechnology Journal (2015), 13 Abstract One of the hallmarks of sporadic Parkinson's disease is degeneration of dopaminergic neurons in the pars compacta of the substantia nigra. The aetiopathogenesis of this degeneration is still not ... [more ▼] Abstract One of the hallmarks of sporadic Parkinson's disease is degeneration of dopaminergic neurons in the pars compacta of the substantia nigra. The aetiopathogenesis of this degeneration is still not fully understood, with dysfunction of many biochemical pathways in different subsystems suggested to be involved. Recent advances in constraint-based modelling approaches hold great potential to systematically examine the relative contribution of dysfunction in disparate pathways to dopaminergic neuronal degeneration, but few studies have employed these methods in Parkinson's disease research. Therefore, this review outlines a framework for future constraint-based modelling of dopaminergic neuronal metabolism to decipher the multi-factorial mechanisms underlying the neuronal pathology of Parkinson's disease. [less ▲] Detailed reference viewed: 339 (20 UL) |
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