Human first-trimester heart atlas Seurat RDS file for reanalysis

Understanding human cardiac development is essential to improving the diagnosis and treatment of congenital heart defects. This dataset is part of a multi-modal atlas of the developing human fetal heart during the critical first trimester. Using single-nucleus RNA sequencing, we sampled nearly 50,000 cardiac nuclei from three human fetuses at 8.6, 9.0, and 10.7 post-conceptional weeks (pcw). This dataset enabled distinction of 21 cell types, including novel contractile, conductive, and stromal cells. Lymphatic endothelial, epicardial and autonomic neural and glial cells were among the new, smaller populations for which we established high-resolution transcriptional profiles. This is the *.rds file of the cells from all three hearts generated after Seurat-based integration and analysis in R.<br>This dataset is part of a greater project also comprising spatial transcriptomics, anatomy, histology, in situ hybridization and 2D and 3D immunofluorescence, most of which is also present on Figshare. The count matrices and the raw sequencing data for the spatial transcriptomics and this dataset will be available on GEO shortly.<br><i>This publication is part of the Human Cell Atlas. </i>https://www.humancellatlas.org/publications/

解析人类心脏发育过程，对于改善先天性心脏缺陷的诊疗工作至关重要。本数据集属于针对关键妊娠早期阶段发育中人胎心脏的多模态图谱的一部分。本研究团队采用单细胞核RNA测序（single-nucleus RNA sequencing）技术，对3例分别于受孕后8.6、9.0及10.7周（post-conceptional weeks, pcw）的人类胎儿采集了近5万个心脏细胞核样本。本数据集可区分21种细胞类型，其中包含新型收缩型、传导型及基质细胞。淋巴内皮细胞、心外膜细胞、自主神经元及胶质细胞均属于本次新鉴定的小型细胞群，本研究团队为其构建了高分辨率转录组特征谱。本文件为基于R语言中Seurat工具完成整合与分析后，生成的3例胎儿心脏细胞的*.rds格式文件。
本数据集隶属于一项更大规模的研究项目，该项目还包含空间转录组（spatial transcriptomics）、解剖学、组织学、原位杂交（in situ hybridization）以及2D、3D免疫荧光检测数据，其中绝大多数资源已上传至Figshare平台。空间转录组数据集及本数据集的计数矩阵与原始测序数据，即将在基因表达综合数据库（Gene Expression Omnibus, GEO）上线。
本研究成果隶属于人类细胞图谱（Human Cell Atlas）项目。https://www.humancellatlas.org/publications/