Search | Result
| ID | 6650 |
|---|---|
| Class | Mammalia |
| Species | Mouse |
| Tissue | Heart |
| Sample | Tissue |
| Disease type | NA |
| Cell type | Neural cells |
| Cell type (subtype) | Neuronal like |
| Cell marker | S, Col3a1, Igfbp5, Abi1, Arhgap18, Bicc1, Bicd1, C3, Cdh11, Cdon, Celf2, Crip1, Dpp4, Efemp1, Efna5, Flrt2, Gpc3, Gpm6a, Igfbp6, Il1rapl1, Kcnd2, Mast4, Muc16, Pbx1, Pcdh15, Pkhd1l1, Plce1, Plxna4, Ptprd, Rarres2, Rbfox1, Sema3d, Slit3, Sox6, Sugct, Sulf1 |
| 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 |
