Search | Result
| ID | 6516 |
|---|---|
| Class | Mammalia |
| Species | Mouse |
| Tissue | Heart |
| Sample | Tissue |
| Disease type | NA |
| Cell type | Epicardial cells |
| Cell type (subtype) | Epicardial cells |
| Cell marker | 1700112E06Rik, 9030624G23Rik, 9530026P05Rik, Abcb1b, Abi1, Adamtsl1, Adgrd1, Adk, Aebp1, Agap1, Aldh1a2, Ano1, Ano6, Ap4e1, Aqp1, Arhgap18, Arhgap29, Arhgef12, Arid4b, B4galt1, Bcam, Bicc1, Bicd1, Bmpr1a, Bnc2, Bsg, C3, Cacnb2, Cadm2, Cald1, Calr, Ccdc171 |
| Frequency | |
| PubMed ID | 31723062 |
| Journal | JCI Insight |
| SCI IF | 6.205 |
| Evidence | Using t-distributed stochastic neighbor embedding (tSNE) (10), global dimension reduction was constructed from all samples to visualize clusters that were defined by cell-specific gene markers (Figure 1A and Supplemental Table 2). / To identify specific markers for each cluster and consequently annotate them with the respective heart cell type, we applied Seurat “FindAllMarkers� function using the AUCbased scoring classifier with default parameters. We used the default Wilcoxon’s rank-sum test for the specific cell type analysis. |
| Title | Transcriptional heterogeneity of fibroblasts is a hallmark of the aging heart |
| Authors | Ramon Vidal et al. |
| Date | 2019.11 |
| Data available | NA |
