RESUMO
Purine metabolites have been implicated as clinically relevant biomarkers of worsening or improving Parkinson's disease (PD) progression. However, the identification of purine molecules as biomarkers in PD has largely been determined using non-targeted metabolomics analysis. The primary goal of this study was to develop an economical targeted metabolomics approach for the routine detection of purine molecules in biological samples. Specifically, this project utilized LC/MS/MS and LC/QTOF/MS to accurately quantify levels of six purine molecules in samples from cultured N2a murine neuroblastoma cells. The targeted metabolomics workflow was integrated with automated label-free digital microscopy, which enabled normalization of purine concentration per unit cell in the absence of fluorescent dyes. The established method offered significantly enhanced selectivity compared to previously published procedures. In addition, this study demonstrates that a simple, quantitative targeted metabolomics approach can be developed to identify and quantify purine metabolites in biological samples. We envision that this method could be broadly applicable to quantification of purine metabolites from other complex biological samples, such as cerebrospinal fluid or blood.
Assuntos
Biomarcadores/análise , Cromatografia Líquida/métodos , Espectrometria de Massas/métodos , Metabolômica/métodos , Purinas/análise , Animais , Linhagem Celular , Camundongos , Purinas/metabolismoRESUMO
The transfer of α-synuclein (α-syn) between cells has been proposed to be the primary mechanism of disease spreading in Parkinson's disease. Several cellular models exist that monitor the uptake of recombinant α-syn from the culture medium. Here we established a more physiologically relevant model system in which α-syn is produced and transferred between mammalian neurons. We generated cell lines expressing either α-syn tagged with fluorescent proteins or fluorescent tags alone then we co-cultured these cell lines to measure protein uptake. We used live-cell imaging to demonstrate intercellular α-syn transfer and used flow cytometry and high content analysis to quantify the transfer. We then successfully inhibited intercellular protein transfer genetically by down-regulating dynamin or pharmacologically using dynasore or heparin. In addition, we differentiated human induced pluripotent stem cells carrying a triplication of the α-syn gene into dopaminergic neurons. These cells secreted high levels of α-syn, which was taken up by neighboring neurons. Collectively, our co-culture systems provide simple but physiologically relevant tools for the identification of genetic modifiers or small molecules that inhibit α-syn cell-to-cell transfer.
Assuntos
Regulação para Baixo/genética , alfa-Sinucleína/genética , alfa-Sinucleína/metabolismo , Animais , Diferenciação Celular/fisiologia , Linhagem Celular Tumoral , Técnicas de Cocultura , Regulação para Baixo/efeitos dos fármacos , Dinaminas/metabolismo , Ensaio de Imunoadsorção Enzimática , Citometria de Fluxo , Heparina/análogos & derivados , Heparina/farmacologia , Proteínas Luminescentes/genética , Proteínas Luminescentes/metabolismo , Camundongos , Microscopia Confocal , Neuroblastoma/patologia , Células-Tronco Pluripotentes/fisiologia , Transporte Proteico/fisiologia , Proteoglicanas/farmacologia , RNA Interferente Pequeno/farmacologia , Fatores de Tempo , TransfecçãoRESUMO
Regulator of G-protein signaling (RGS) proteins classically function as negative modulators of G-protein-coupled receptor signaling. In vitro, RGS proteins have been shown to inhibit signaling by agonists at the µ-opioid receptor, including morphine. The goal of the present study was to evaluate the contribution of endogenous RGS proteins to the antinociceptive effects of morphine and other opioid agonists. To do this, a knock-in mouse that expresses an RGS-insensitive (RGSi) mutant Gαo protein, Gαo(G184S) (Gαo RGSi), was evaluated for morphine or methadone antinociception in response to noxious thermal stimuli. Mice expressing Gαo RGSi subunits exhibited a naltrexone-sensitive enhancement of baseline latency in both the hot-plate and warm-water tail-withdrawal tests. In the hot-plate test, a measure of supraspinal nociception, morphine antinociception was increased, and this was associated with an increased ability of opioids to inhibit presynaptic GABA neurotransmission in the periaqueductal gray. In contrast, antinociception produced by either morphine or methadone was reduced in the tail-withdrawal test, a measure of spinal nociception. In whole-brain and spinal cord homogenates from mice expressing Gαo RGSi subunits, there was a small loss of Gαo expression and an accompanying decrease in basal G-protein activity. Our results strongly support a role for RGS proteins as negative regulators of opioid supraspinal antinociception and also reveal a potential novel function of RGS proteins as positive regulators of opioid spinal antinociceptive pathways.