Bioinformatics and Computational Biology, Iowa State University, Ames, IA, 50010-1079, USA; Genetics, Development, and Cell Biology, Iowa State University, Ames, IA, 50010-1079, USA.
Bioinformatics and Computational Biology, Iowa State University, Ames, IA, 50010-1079, USA; Genetics, Development, and Cell Biology, Iowa State University, Ames, IA, 50010-1079, USA.
Placenta. 2021 Jan 1;103:164-171. doi: 10.1016/j.placenta.2020.10.029. Epub 2020 Oct 27.
Single-cell RNA-Sequencing (scRNA-Seq) has improved our understanding of individual cell types in the human placenta. However, placental scRNA-Seq data is not readily accessible when trying to understand how expression patterns in model systems correspond to those from first trimester human placenta. Therefore, we developed PlacentaCellEnrich, a tool that takes a gene set as input, and then reports if the input set is enriched for genes with placenta cell-specific expression patterns, based on human placenta scRNA-Seq data. The PlacentaCellEnrich tool is freely available at https://placentacellenrich.gdcb.iastate.edu/ for non-profit academic use under the MIT license.
单细胞 RNA 测序 (scRNA-Seq) 提高了我们对人类胎盘单个细胞类型的理解。然而，当试图了解模型系统中的表达模式如何与来自人类胎盘早期的表达模式相对应时，胎盘 scRNA-Seq 数据并不可用。因此，我们开发了 PlacentaCellEnrich，这是一种工具，它以基因集作为输入，然后根据人类胎盘 scRNA-Seq 数据报告输入集是否富集了具有胎盘细胞特异性表达模式的基因。PlacentaCellEnrich 工具可在 https://placentacellenrich.gdcb.iastate.edu/ 上免费获取，供非营利性学术使用，遵循麻省理工学院许可证。
