针对基因表达谱和肿瘤代表性的研究,对人类细胞系进行系统的转录分析。
Systematic transcriptional analysis of human cell lines for gene expression landscape and tumor representation.
发表日期:2023 Sep 05
作者:
Han Jin, Cheng Zhang, Martin Zwahlen, Kalle von Feilitzen, Max Karlsson, Mengnan Shi, Meng Yuan, Xiya Song, Xiangyu Li, Hong Yang, Hasan Turkez, Linn Fagerberg, Mathias Uhlén, Adil Mardinoglu
来源:
CYTOKINE & GROWTH FACTOR REVIEWS
摘要:
细胞系作为人类生物学和转化医学的模型,是宝贵的资源。因此,探索各个细胞系与人类组织(包括正常组织和疾病组织)表达的一致性非常重要。在本研究中,我们通过全基因组转录组分析,调查了超过1,000个代表27种癌症类型的人类细胞系中所有人类蛋白编码基因的表达情况。我们将细胞系基因表达与各种组织、器官、单个细胞类型和癌症的相应表达模式进行了比较。我们在此提供每个细胞系的表达情况,并为特定研究提供最合适的细胞系选择指南。此外,我们还研究了细胞系的癌症相关通路和细胞因子活性,以促进人类生物学研究和药物开发项目。所有数据均在Human Protein Atlas的开放获取细胞系部分中提供,以便于对这些细胞系中的所有人类蛋白编码基因进行探索。© 2023. Springer Nature Limited.
Cell lines are valuable resources as model for human biology and translational medicine. It is thus important to explore the concordance between the expression in various cell lines vis-à-vis human native and disease tissues. In this study, we investigate the expression of all human protein-coding genes in more than 1,000 human cell lines representing 27 cancer types by a genome-wide transcriptomics analysis. The cell line gene expression is compared with the corresponding profiles in various tissues, organs, single-cell types and cancers. Here, we present the expression for each cell line and give guidance for the most appropriate cell line for a given experimental study. In addition, we explore the cancer-related pathway and cytokine activity of the cell lines to aid human biology studies and drug development projects. All data are presented in an open access cell line section of the Human Protein Atlas to facilitate the exploration of all human protein-coding genes across these cell lines.© 2023. Springer Nature Limited.