A substantial volume of RNA sequencing data have been generated from cancer cell lines. However, it requires specific bioinformatics skills to compare gene expression levels across cell lines. This has hindered non-bioinformaticians from fully utilizing these valuable datasets in their research. To bridge this gap, we established a curated Pan-cancer Cell Line Transcriptome Atlas (PCTA) dataset. This resource aims to provide a user-friendly platform, allowing researchers without extensive bioinformatics expertise to access and leverage the wealth of information within the dataset for their studies. The PCTA dataset encompasses the expression matrix of 24,965 genes, featuring data from 84,385 samples derived from 5677 studies. This comprehensive compilation spans 535 cell lines, representing a spectrum of 114 cancer types originating from 30 diverse tissue types. On UMAP plots, cell lines originating from the same type of tissue tend to cluster together, illustrating the dataset's ability to capture biological relationships. Additionally, an interactive and user-friendly web application () was developed for researchers to explore the PCTA dataset. This platform allows users to examine the expression of their genes of interest across a diverse array of samples.

中文翻译：

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PCTA，泛癌细胞系转录组图谱

大量的 RNA 测序数据已经从癌细胞系中产生。然而，需要特定的生物信息学技能来比较跨细胞系的基因表达水平。这阻碍了非生物信息学家在他们的研究中充分利用这些有价值的数据集。为了弥补这一差距，我们建立了一个精心策划的泛癌细胞系转录组图谱（PCTA）数据集。该资源旨在提供一个用户友好的平台，使没有广泛生物信息学专业知识的研究人员能够访问和利用数据集中的丰富信息进行研究。 PCTA 数据集包含 24,965 个基因的表达矩阵，其中包含来自 5677 项研究的 84,385 个样本的数据。该综合汇编涵盖 535 个细胞系，代表源自 30 种不同组织类型的 114 种癌症类型。在 UMAP 图中，源自同一类型组织的细胞系倾向于聚集在一起，说明数据集捕获生物关系的能力。此外，还开发了一个交互式且用户友好的 Web 应用程序 ()，供研究人员探索 PCTA 数据集。该平台允许用户检查各种样本中感兴趣基因的表达。