Search | Result
| ID | 6446 |
|---|---|
| Class | Mammalia |
| Species | Mouse |
| Tissue | Heart |
| Sample | Tissue |
| Disease type | NA |
| Cell type | Cardiomyocytes |
| Cell type (subtype) | Cardiomyocytes(B) |
| Cell marker | Actc1, Actn2, Adprhl1, Ankrd1, 1700020I14Rik, Acadm, Acat1, Aco2, Acot13, Acsl1, Art1, Art3, Asb2, Atp1a1, Atp2a2, Atp5b, Atp5, 1700016D06Rik, 2010107E04Rik, 2410015M20Rik, Acaa2, Acadl, Acadvl, Adgrl4, Aes, Ak1, Aldoa, Aqp1, Asph, Asxl2, Atp1a2, Atp5a1, Atp5c1, Atp5d, Atp5e, Atp5f1, Atp5g1 |
| 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 |
