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It has been more than 200 years since Parkinsons disease was discovered in 1817.Based on clinical genetics and genomics research,some genes have been identified as disease causing gene or risk loci.However,the causes of Parkinsons disease are complicated,related to aging,environmental factors,and many signaling pathway.Its difficult to fully understand the mechanisms of Parkinsons disease simply with genetics and genomics strategies.This work focused on the mechanisms of Parkinsons disease using model organism Drosophila melanogaster.Cooperating with experimental biologists,advanced LCM technology was used to separate single dopamine neuron from Drosophila brain tissue,breakthrough the limitation of previous study that only used whole brain or mixed samples of different neurons in the brain.Using the latest single cell RNA sequencing technology,the precise transcriptome data of dopamine neurons in Drosophila was generated.Through differential expression gene analysis,differential co-expression analysis and gene regulatory network inference analysis strategies,we analyzed transcriptome data of seven kind of Drosophila model of Parkinsons disease with five different time points.We illustrated the Parkinsons disease mechanisms in Drosophila model with different aspects of functional relationship and network pathology.We also identified some key genes or regulation relationships,which have potential experimental research value.We will share the data with web service to encourage more researchers to contribute to the further understanding of the pathogenesis of Parkinsons disease at the dopamine neuron level.