Search | Result
| ID | 6445 |
|---|---|
| Class | Mammalia |
| Species | Mouse |
| Tissue | Heart |
| Sample | Tissue |
| Disease type | NA |
| Cell type | Cardiomyocytes |
| Cell type (subtype) | Cardiomyocytes(C) |
| Cell marker | C, Actc1, Actn2, Adprhl1, Ankrd1, Abhd18, Acss1, Adamts6, Adgrl2, Agl, Akap6, Alpk2, Art1, Art3, Asb2, Atp1a1, Atp2a2, 9530026P05Rik, Ablim2, Adam19, Aff2, Angpt1, Ank2, Ank3, Ano4, Arfgef1, Arhgap21, Arhgap31, Asb14, Atcayos, Auts2, Bmpr1a, Cacnb2, Camk1d, Camk2d, Cap2, Casq2, Casz1, Ccdc141 |
| 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 |
