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High-Resolution Quantitative Immunogold Analysis of Membrane Receptors at Retinal Ribbon Synapses
Published on: February 18, 2016
Quantum molecular resonance and secretome synergistically unlocks a protective ceRNA axis in the human retinal
Simona Alibrandi1,2, Domenico Mordà1,2,3, Concetta Scimone1
1Department of Biomedical and Dental Sciences and Morphofunctional Imaging, Division of Medical Biotechnologies and Preventive Medicine, University of Messina, 98125 Messina, Italy.
Abstract:
The retinal pigment epithelium (RPE) contributes to retinal homeostasis in part through non-coding RNA (ncRNA) regulatory networks, and its degeneration underlies blinding diseases. How physical and paracrine regenerative stimuli affect the RPE non-coding transcriptome remains unknown. We performed RNA-seq on ARPE-19 cells in a full-factorial design of four treatments (CTRL, QMR, a patient blood-derived secretome, and QMR+SECRETOME) two oxidative-stress states (basal and tert-butyl hydroperoxide [tBHP]-induced), and three time points (8, 24, 72 h). lncRNAs and circRNAs were sub-classified and mapped via GO enrichment and in silico ceRNA prediction. PCA identified QMR as the dominant driver of transcriptomic variance, priming ARPE-19 cells to integrate paracrine signals. Analysis across six factorial contrasts identified 105 modulated non-coding transcripts, including a pan-responsive antisense core (BASP1-AS1, SOD2-OT1) and condition-specific shifts in master lincRNAs (NEAT1, MALAT1). QMR+SECRETOME produced a distinct combinatorial transcriptomic signature. circASPH was exclusively upregulated by QMR, while circCRIM1 was preferentially hyperactivated by combinatorial treatment. ceRNA analysis predicted potential sponging of miR-29, miR-21, and miR-155, which may derepress BMP signaling and extracellular matrix remodeling. QMR reshapes the ARPE-19 non-coding transcriptome and enables a non-additive transcriptomic response to secretome co-treatment. The QMR-secretome-circRNA axis identifies candidate non-coding biomarkers and therapeutic targets for retinal regeneration.
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