Search | Result
| ID | 6673 |
|---|---|
| Class | Mammalia |
| Species | Mouse |
| Tissue | Heart |
| Sample | Tissue |
| Disease type | NA |
| Cell type | Pericytes |
| Cell type (subtype) | Pericytes |
| Cell marker | Abcc9, Col4a1, 9530026P05Rik, Adap2, Adap2os, Adgrl3, Airn, Akap13, Ano1, Apbb2, Arhgap26, Arhgap42, Arhgap6, Art3, Aspn, Cacna2d1, Cacnb4, Cald1, Chn1, Cobll1, Cped1, Creb3l2, Daam1, Dgkb, Dlc1, Dock6, Dtx3, Ebf1, Ebf2, Eif4g3, Epb41l2, Eps8, Farp1, Ferm |
| 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 |
