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Abstract：
Spatial transcriptomics (ST) is a powerful tool for understanding tissue biology and disease mechanisms. However, its potential is often underutilized due to the advanced data analysis and programming skills required. To address this, we present spatialGE, a web application that simplifies the analysis of ST data. The application spatialGE provides a user-friendly interface that guides users without programming expertise through various analysis pipelines, including quality control, normalization, domain detection, phenotyping, and multiple spatial analyses. It also enables comparative analysis among samples and supports various ST technologies. We demonstrate the utility of spatialGE through its application in studying the tumor microenvironment of melanoma brain metastasis and Merkel cell carcinoma. Our results highlight the ability of spatialGE to identify spatial gene expression patterns and enrichments, providing valuable insights into the tumor microenvironment and its utility in democratizing ST data analysis for the wider scientific community.
摘要：
空间转录组学（ST）是了解组织生物学和疾病机制的强大工具。然而,由于所需的高级数据分析和编程技能，其潜力往往未得到充分利用。为了解决这个问题，我们提出了空间GE，简化ST数据分析的Web应用程序。应用程序spatialGE提供了一个用户友好的界面，可以通过各种分析管道指导没有编程专业知识的用户，包括质量控制，归一化，域检测，表型，和多种空间分析。它还可以在样品之间进行比较分析，并支持各种ST技术。我们通过将其应用于研究黑色素瘤脑转移和默克尔细胞癌的肿瘤微环境，证明了spatialGE的实用性。我们的结果突出了spatialGE识别空间基因表达模式和富集的能力，为更广泛的科学界提供对肿瘤微环境及其在民主化ST数据分析中的实用性的有价值的见解。
