Project description:Parkinson's disease (PD) is a challenging neurodegenerative disorder. Recently, therapy of neural stem cells (NSCs) derived from human induced pluripotent stem cells (hiPSCs) has emerged as a significant advancement in regenerative medicine. Melatonin (MT), acting as a mitochondrial targeting hormone, exhibits neuroprotective properties in neurodegenerative diseases and modulates stem cell differentiation through mitochondrial dynamics. However, the precise mechanism by which MT influences dopaminergic (DA) neuronal differentiation in hiPSCs through regulating mitochondrial dynamics remains unclear. In this study, we developed and optimized a technical protocol for the in vitro functional neuronal differentiation of hiPSCs. Our findings demonstrate that MT enhances the differentiation potential of hiPSCs toward neuroectoderm and significantly improves the efficiency of NSCs differentiation into DA neurons within hiPSCs. Using the specific MT receptor inhibitor, Luzindole, we confirmed its inhibitory effect on MT-mediated promotion of neural differentiation. Mechanistically, we propose that MT enhances functional DA neuron differentiation from hiPSCs by activating mitochondrial dynamics-mediated WNT/β-catenin signaling pathways. Additionally, we elucidated the critical role of mitofusin2 (MFN2) in enhancing the directed differentiation of DA neurons from hiPSCs. In vivo studies validated the efficacy of MT-treated hiPSC-derived DA progenitor cells in regenerating tyrosine hydroxylase (TH)-positive DA neurons and improving motor function in PD mouse models. In conclusion, this study highlights the potential clinical relevance of MT-enhanced differentiation of hiPSCs into DA neurons, offering promising implications for the treatment of PD.
Project description:Dopaminergic (DA) neurons marked by the dopamine transporter (DAT) have multiple physiological functions and are involved in the regulation of mental and neurological diseases, prompting in-depth studies into their development and functions. This research explores the spatiotemporal proteomic and transcriptomic changes in DAT+ DA neurons within key brain regions involved in DA signaling—the nucleus accumbens (NAc), substantia nigra (SNc), and ventral tegmental area (VTA). Utilizing cutting-edge multi-omics techniques, such as ultrasensitive trace sample proteomics and SMART_x0002_seq2 for transcriptomics, we examine the DA neuronal system at critical postnatal milestones: postnatal day 7 (P7), postnatal day 30 (P30), and postnatal day 60 (P60). The study reveals unique molecular profiles within DA neuron populations, showcasing their varied functional roles and developmental progression. Immunofluorescence mapping illustrates these molecular distributions, validating the quantitative data and highlighting the dynamic molecular structure of DA neurons. Our findings notably highlight a marked increase over time in Aldh1a1 expression, an essential enzyme for retinoic acid production, suggesting its evolving role in neuronal development and specific functions. This comprehensive analysis offers a profound molecular perspective on DAT+ DA neuron development, enhancing our understanding of their functional diversity and potential relevance in DA-related diseases.
Project description:BACKGROUND: Mitochondrial (mt) heteroplasmy can cause adverse biological consequences when deleterious mtDNA mutations accumulate disrupting ‘normal’ mt-driven processes and cellular functions. To investigate the heteroplasmy of such mtDNA changes we developed a moderate throughput mt isolation procedure to quantify the mt single-nucleotide variant (SNV) landscape in individual mouse neurons and astrocytes In this study we amplified mt-genomes from 1,645 single mitochondria (mts) isolated from mouse single astrocytes and neurons to 1. determine the distribution and proportion of mt-SNVs as well as mutation pattern in specific target regions across the mt-genome,2. assess differences in mtDNA SNVs between neurons and astrocytes, and 3. Study cosegregation of variants in the mouse mtDNA. RESULTS: 1. The data show that specific sites of the mt-genome are permissive to SNV presentation while others appear to be under stringent purifying selection. Nested hierarchical analysis at the levels of mitochondrion, cell, and mouse reveals distinct patterns of inter- and intra-cellular variation for mt-SNVs at different sites. 2. Further, differences in the SNV incidence were observed between mouse neurons and astrocytes for two mt-SNV 9027:G>A and 9419:C>T showing variation in the mutational propensity between these cell types. Purifying selection was observed in neurons as shown by the Ka/Ks statistic, suggesting that neurons are under stronger evolutionary constraint as compared to astrocytes. 3. Intriguingly, these data show strong linkage between the SNV sites at nucleotide positions 9027 and 9461. CONCLUSION: This study suggests that segregation as well as clonal expansion of mt-SNVs is specific to individual genomic loci, which is important foundational data in understanding of heteroplasmy and disease thresholds for mutation of pathogenic variants.