Search | Result
| ID | 6584 |
|---|---|
| Class | Mammalia |
| Species | Mouse |
| Tissue | Heart |
| Sample | Tissue |
| Disease type | NA |
| Cell type | Endothelial cells |
| Cell type (subtype) | Endothelial (C) |
| Cell marker | Cldn5, Ccl21a, Aqp1, Cd9, Cp, 4931406P16Rik, 9330175M20Rik, App, 4930448N21Rik, Aplp2, Chrm3, Cped1, Crim1, D5Ertd615e, Dab2, 1700025G04Rik, 4930578G10Rik, Abhd17b, Abi3bp, Adam10, Adamtsl1, Arap3, Arhgap29, Asap1, Atp11c, Calcrl, Ccser1, Cmip, Cpne8, Csgalnact1, Ctdspl, Dapk2, Dennd4a |
| 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 |
