MOLECULAR SCIENCES AND APPLICATIONS
Print ISSN: 2944-9138, E-ISSN: 2732-9992 An Open Access International Journal of Molecular Sciences and Applications
Volume 6, 2026
Theoretical Analytical Framework for Enhancing Retinal Photoreceptor Neurite Outgrowth with Small Molecules and Growth Factors
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Abstract: Cell replacement strategies using stem cell-derived photoreceptor precursors (PRPs) offer a promising route for retinal repair; however, a persistent translational bottleneck is the gap between neurite elongation and functional synaptic integration. Recent experimental work combining ROCK inhibition (Y-27632), taurine, retinal conditioned medium, and 3D collagen scaffolds showed pronounced neurite outgrowth, yet transcriptomic readouts at 72 h did not reveal robust presynaptic ribbon marker induction. This manuscript develops a theoretically grounded, multi-scale explanation for that separation between morphology and synaptic maturation. We formulate the Comprehensive Spatiotemporal Elasto-Kinetic (CSEK) framework, extended by the Stochastic Biomechanical Arborization & Transport (SBAT) model, to couple actin cortex relaxation, motor-clutch-based elongation, stochastic branching, and delayed intracellular transport of synaptic cargo. A further Classical Elasto-Kinetic and Reaction-Diffusion (CEK-RD) description is introduced to capture target-cell tethering and compartmental mass transfer. The model predicts that strong elongation can occur well before mature synaptogenesis becomes detectable, especially when contact-dependent transcription and axonal transport delays are superimposed on rapid growth-cone extension. The framework therefore offers a coherent theoretical basis for interpreting why early time-point RNA profiling may underestimate synapse formation and suggests that longer observation windows are required to assess functional integration in elongated, branched PRPs.
Keywords:
retinal degeneration, photoreceptor precursors, neurite outgrowth, synaptogenesis, ROCK inhibition, motor-clutch dynamics, reaction-diffusion transport, computational systems biology
Pages: 99-113
DOI: 10.37394/232023.2026.6.9