<b>A single-cell landscape of human liver transplantation reveals a pathogenic immune niche associated with early allograft dysfunction</b>

The complete database comprised the single-cell gene expression for samples taken from 7 patients, wherein liver grafts berfore liver transplantation (LT) were sampled after cold perfusion (CP) and liver grafts after LT were sampled affer 2h portal reperfusion (PP). Donors were from the healthy after brain death. RNA was extracted from the 12 samples derived from 3 patients without early allograft dysfunction (EAD) and 4 EAD patients and analyzed using 10X Genomics and Illumina sequencing technology.<b>Note</b># To read the data with R, define the gene.column as 1sc_data &lt;- Seurat::Read10X("path/to/SC-CountData", gene.column = 1)<b>Cite</b>Please cite us as: X. Shao, Z. Wang, K. Wang, X. Lu, P. Zhang, R. Guo, J. Liao, P. Yang, S. Zheng, X. Xu, X. Fan, A Single-Cell Landscape of Human Liver Transplantation Reveals a Pathogenic Immune Niche Associated with Early Allograft Dysfunction, Engineering (2024), doi: https://doi.org/10.1016/j.eng.2023.12.004本完整数据库包含7名患者样本的单细胞基因表达数据，其中肝移植（liver transplantation, LT）前的供肝样本于冷灌注（cold perfusion, CP）后采集，肝移植术后的供肝样本于门静脉再灌注（portal reperfusion, PP）2小时后采集。供体均为脑死亡后的健康个体。 从3名无早期移植物功能障碍（early allograft dysfunction, EAD）患者与4名EAD患者的12份样本中提取RNA，并采用10X Genomics和Illumina测序技术完成分析。 <b>注意</b># 若使用R语言读取该数据集，请将gene.column参数设置为1：sc_data <- Seurat::Read10X("path/to/SC-CountData", gene.column = 1) <b>引用</b>请按以下格式引用本数据集：X. Shao, Z. Wang, K. Wang, X. Lu, P. Zhang, R. Guo, J. Liao, P. Yang, S. Zheng, X. Xu, X. Fan, 《人类肝移植的单细胞图谱揭示与早期移植物功能障碍相关的致病性免疫微环境》, Engineering (2024), doi: https://doi.org/10.1016/j.eng.2023.12.004