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AbstractBased on a detailed case study of the socialist transformation of the Shanghai Great World Amusement Centre (Dashijie), this article documents state-building efforts during the early years of the People's Republic of China (PRC). Between 1950 and 1958, the Communist regime incrementally transformed the power configuration within Dashijie, promoting dramatic changes in its personnel, institutional structures, drama performances, and physical space. Over the course of this process, Dashijie seemed to become a 'loftier' cultural organization in accordance with the aims of its transformation. This transfigured Dashijie, however, fell out of favour with the people of Shanghai. This multifaceted transformation process reflects considerable state capacities on the one hand and illustrates the complexity of state capacities—their unevenness and the limitations of a strong state—on the other. The complexity of state capacities thus shaped and was embedded in the process and outcome of this socialist cultural transformation. Since the Chinese state is once again making strenuous efforts at culture-building, an overview of cultural transformation in the early PRC era has important contemporary implications.

Next-generation sequencing (NGS) is being used in clinical testing. Government authorities in both China and the United States are overseeing the clinical application of NGS instruments and reagents. In addition, the US Association for Molecular Pathology and the College of American Pathologists have jointly released a guidance to standardize the analysis and interpretation of NGS data involved in clinical testing. At present, the analysis strategies and pipelines for NGS data related to the clinical detection of pediatric disease are similar to those used for adult diseases. However, for rare pediatric diseases without linkage to known genetic variants, it is currently difficult to detect the relevant pathogenic genes using NGS technology. Additionally, it is challenging to identify novel pathogenic genes of familial pediatric tumors. Therefore, characterization of the pathogenic genes associated with above diseases is important for the diagnosis and treatment of rare diseases in children. This article introduces the general pipelines for NGS data analyses of diseases and elucidates data analysis strategies for the pathogenic genes of rare pediatric diseases and familial pediatric tumors.