Search | Result
| ID | 6583 |
|---|---|
| Class | Mammalia |
| Species | Mouse |
| Tissue | Heart |
| Sample | Tissue |
| Disease type | NA |
| Cell type | Endothelial cells |
| Cell type (subtype) | Endothelial (B) |
| Cell marker | Cdh5, Aqp1, Cav1, Cd9, Col4a1, Cr, 4931406P16Rik, 9330175M20Rik, Adgrf5, App, Bsg, 4930448N21Rik, Adgrl2, Arhgap18, Arhgap31, Arhgef3, Arl15, Ccdc85a, Cd200, Cd36, Cd81, Cdh13, Cox6a1, Crip1, 1810011O10Rik, 4921511C10Rik, Ablim1, Actb, Actg1, Adgrl4, Apbb2, Atxn1, B2m, Calm1, Col4a2, Cox6c |
| 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 |
