This data was generated by Wang W et al. (2020), re-processed by HPA (see methods) and simplified for global overview
SINGLE CELL TYPE - ENDOMETRIUMi
RNA expression in the single cell type clusters identified in this tissue visualized by a UMAP plot (top) and a bar chart (bottom).
- UMAP PLOT visualizes the cells in each cluster; where each dot corresponds to a cell. For each individual cell, mouseover reveals read count and which cluster the cell belongs to. Hovering over a cluster name will highlight the corresponding cluster in the bar chart below. There are 2 options for color schemes: 1) cell type color, which is based on cell type groups used in the Single cell type part of the Single cell resource and 2) cluster color, which assigns a unique color to each cluster.
The cells are colored according to % of max (log2(read_count+1)/log2(max(read_count)+1)*100) in five different bins (<1%,<25%,<50%,<75%,≥75%)
- The LEGEND shows RNA expression (nTPM) in each cell type cluster. Hovering over the cluster name reveals nTPM value and number of included cells. Hovering over a bar highlights the corresponding cluster in the UMAP plot above. Color-coding can be toggled on the top of the page, between 2 options: 1) cell type color, which is based on cell type groups used in the Single cell type part of the Single cell resource and 2) cluster color, which assigns a unique color to each cluster.
Cell type color
Cluster color
Colored according to cell type group
Colored according to clusters
Read count filter:0
Cluster filter:
Cluster
Cell type
Expression (nCPM)
c-0
Glandular cells (secretory ...
c-1
Luminal cells (secretory ph...
c-2
Decidualized stromal cells
c-3
Decidualized stromal cells
c-4
Decidualized stromal cells
c-5
Glandular secretory cells (...
c-6
Decidualized stromal cells
c-7
Decidualized stromal cells
c-8
Ciliated epithelial cells
c-9
Glandular secretory cells (...
c-10
Pre-glandular cells (prolif...
c-11
Pre-luminal cells (secretor...
c-12
Glandular secretory cells (...
c-13
Decidualized stromal cells
c-14
Glandular cells (secretory ...
c-15
Vascular endothelial cells
c-16
T-cells
c-17
Mural cells
c-18
NK-cells
c-19
Ciliated epithelial cells
c-20
Pre-glandular cells (secret...
c-21
Pre-glandular cells (secret...
c-22
Luminal cells (secretory ph...
c-23
Pre-glandular cells (prolif...
c-24
Pre-luminal cells (secretor...
c-25
Pre-luminal cells (secretor...
c-26
Non-decidualized stromal ce
c-27
Glandular secretory cells (...
c-28
Pre-glandular cells (prolif...
c-29
Pre-luminal cells (prolif. ...
c-30
NK-cells
c-31
Pre-luminal cells (prolif. ...
c-32
T-cells
c-33
Pre-luminal cells (prolif. ...
c-34
Monocytes/macrophages
c-35
ILC3
c-36
Glandular/luminar doublets
c-37
Pre-ciliated epithelial cel
c-38
T-cells
c-39
Pre-glandular cells (secret...
c-40
Secretory epithelial cells ...
c-41
B-cells
c-42
ILC3
c-43
Pre-glandular cells (secret...
c-44
Cervical basal progenitor c...
c-45
Plasmacytoid dendritic cell
c-46
Ciliated epithelial cells
c-47
Lymphatic endothelial cells
Show allShow less
This data was generated by Wang W et al. (2020), re-processed by HPA (see methods) and simplified for global overview
CELL TYPE MARKERSi
The heatmap in this section shows expression of the currently selected gene (on top) and well-known cell type markers in the different single cell type clusters of this tissue. The panel on the left shows which cell type each marker is associated with. Color-coding is based on cell type groups, each consisting of cell types with functional features in common.
Hover the mouse-pointer over the individual data points (squares) to see nTPM level and Z-score. Clicking on a gene name redirects to the corresponding gene page.
Z-score is when you normalize a variable such that the standard deviation is 1 and the mean is 0. Thus, all the genes are easier to compare, as they have the same center and distribution.
SINGLE CELL TYPE
Max-norm
Z-score
Fraction of highest expression (≥1 nTPM)
log2(nTPM+1) z-score
We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.