Table 2.
Summary of main studies.
| Study | Tissue | Number of cells analyzed after quality control filtering (rounded to nearest whole number) | Platform | scRNA-seq significance |
|---|---|---|---|---|
| Skelly et al. (48) | Mouse heart | 10,519 | 10x genomics chromium | Characterized the immense heterogeneity of the non-myocyte cardiac cellulome |
| Schafer et al. (56) | Mouse heart (fibroblasts) | 1,263 | 10x genomics chromium | Identification of an upregulation of Il-11 in cardiac fibrosis-prone PLNR9C/+ mice |
| Cui et al. (57) | Human fetal heart | 3,842 | STRT-seq | Characterized human fetal cardiac development |
| Nomura et al. (60) | Mouse heart and human heart | 396 | Smart-seq2 | Identifying the heterogeneity of cardiomyocyte gene expression in response to pressure overload |
| Jia et al. (66) | Mouse fetal heart | 421 (Fludigm C1) 663 (WaferGen iCell 8) | Fludigm C1 and WaferGen iCell8 | Reconstruction of developmental trajectories in cardiogenesis and their association with different chromatin states |
| Xiong et al. (67) | Mouse fetal heart | 616 average for each group | Smart-seq2 | Creation of a multi-dimensional map of the intercommunication between first and second heart fields during development |
| Yap et al. (71) | HS1001 and H1 cell lines | 695 average for each group | 10x genomics chromium | scRNA-seq was used to assess the reproducibility of a stem-cell differentiation method |
| Churko et al. (76) | Human iPSCs | 10,376 | 10x chromium | Identification of the transcriptional regulatory network in cardiomyocyte subpopulation differentiation from iPSC |
| Su et al. (85) | Mouse fetal coronary vessels | 334 average for each group | Smart-seq2 | Identification of novel developmental trajectories for embryonic coronary arteries |
| Li et al. (95) | Mouse heart | 3,575 average for each group | 10x genomics chromium | Identification of a subpopulation of resident endothelial progenitor cells that mediate neovasculogenesis following myocardial infarction |
| Cochain et al. (100) | Mouse aorta | 854 | 10x genomics GemCode | Characterized the transcriptional heterogeneity of aortic macrophages and monocyte-derived dendritic cells in a mouse atherosclerosis model |
| Lin et al. (101) | Mouse aorta | 2,678 average for each group | 10x genomics chromium | Profiling the spectrum of macrophage activation states |
| Kim et al. (110) | Mouse aorta | 10,000 average for each group | 10x genomics chromium | Identified that nonfoamy macrophages had more inflammatory characteristics than that seen with foamy macropahges |
| Dobnikar et al. (116) | Mouse aorta | 143 (Fludigm C1) 150 (Smart-seq2) About 2800 (10x Genetics Chromium) | Fludigm C1, Smart-seq2, and 10x Genetics Chromium | Detection of a rare population of potentially atherogenic-prone Sca1+ VSMC cells in healthy mice aortas |
| Wirka et al. (117) | Mouse aorta and human coronary arteries | About 3,500 cells | 10x genomics chromium | Identification of Tcf21 as a pro-phenotypic modulator which was associated with protection from coronary artery disease. |