Search | Result
| ID | 6582 |
|---|---|
| Class | Mammalia |
| Species | Mouse |
| Tissue | Heart |
| Sample | Tissue |
| Disease type | NA |
| Cell type | Endothelial cells |
| Cell type (subtype) | Endothelial (A) |
| Cell marker | Cd9, Bgn, 4931406P16Rik, 9330175M20Rik, App, Bmx, Bsg, Cpe, Aplp2, Arhgap31, Arhgef3, Cd200, Cd81, Cfh, Chrm3, Cox6a1, Cped1, Crim1, Crip1, Csga, 1700112E06Rik, 9530026P05Rik, A930011G23Rik, Acer2, Airn, Akt3, Apoe, Asxl2, Atp1b3, Bace2, Bmp6, Bmpr2, Calm2, Cdh11, Cgnl1, Clic1, Col5a2, Crip2 |
| 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 |
