Cell Atlas

Every cell is one point. Drag to pan, scroll to zoom, shift-drag to select a region; click any group in the legend to isolate it. Use Colour cells by to switch between cell type, cluster, library, quality-control metric and the expression of a single gene.

UMAP — this re-analysis

Drawn from the same exported coordinates and labels the interactive atlas above uses, so the figure and the atlas cannot disagree. 16,590 cells.

Coloured by Leiden cluster (27)
UMAP of the re-analysed NVECT_nervous, coloured by Leiden cluster, each labelled with its number

Each cluster's number is placed at its own centroid, so the grouping can be read without relying on colour. These are Leiden clusters, not named cell types.

UMAP — as published (source study)

Nematostella vectensis — NervousSystem. The source study's own figures, kept here so the re-analysis above can be read against them. These are their cells and their labels: the projection cannot be recoloured, subset or queried, and the cell-type names in it are the study's, not ours.

UMAP — figure 1, as published
The first UMAP figure published for Nematostella vectensis (NervousSystem)
UMAP — figure 2, as published
The second UMAP figure published for Nematostella vectensis (NervousSystem)

Cell types in this dataset

Click a cell type to isolate it in the atlas above. The bar beside each percentage is drawn to scale: a cell type at 2.6 % fills 2.6 % of the track, so the rows can be ranked by eye without reading the numbers.

Cell type Cells Percent Markers
Cluster 1 2,453 marker genes
Cluster 0 1,912 marker genes
Cluster 12 1,726 marker genes
Cluster 6 1,096 marker genes
Cluster 19 1,074 marker genes
Cluster 8 1,052 marker genes
Cluster 7 919 marker genes
Cluster 2 848 marker genes
Cluster 10 746 marker genes
Cluster 4 745 marker genes
Cluster 17 645 marker genes
Cluster 21 521 marker genes
Cluster 16 518 marker genes
Cluster 11 425 marker genes
Cluster 18 378 marker genes
Cluster 14 349 marker genes
Cluster 5 169 marker genes
Cluster 23 168 marker genes
Cluster 3 162 marker genes
Cluster 20 148 marker genes
Cluster 24 148 marker genes
Cluster 13 139 marker genes
Cluster 25 71 marker genes
Cluster 9 69 marker genes
Cluster 26 54 marker genes
Cluster 22 36 marker genes
Cluster 15 19 marker genes
27 cell types 16,590

Quality control for this dataset

These are the figures actually applied to the cells shown above, not the values requested in a configuration file. Every dataset is filtered independently; see Single-cell Data for the full table across all datasets.

Source BioProject PRJNA903823
SRA study SRP408911
GEO series GSE218419
Library type 10x Genomics Chromium (high confidence)
Libraries integrated 4
Cells before filtering 18,779
Cells after cell filtering 16,648
Doublets removed 58 (0.35%)
Cells after filtering 16,590
Retained 88.3%
Filtering strategy Per-library MAD outlier detection (adaptive)
Thresholds applied adaptive: per-library MAD (5.0 MADs) on UMI, genes and MT%, floor 200 genes, floor 500 UMI
Mitochondrial genes found 0 — too few for a reliable MT% filter, so none was applied
Doublet method Scrublet (per library)
Integration method Harmony on sample (4 libraries)
Cell-type annotation Not assigned - Leiden clusters only
Cell-type labels from none - Leiden clusters; no cluster reached 2 marker-panel hits; labels are Leiden cluster identities, not cell types (0 of 1350 ranked features match any of the 12 panel patterns, 0 are composite 'id|homology-transfer' names; no ranked feature matches any
Pipeline version cnidosite-sc-1.0.0
Processed 2026-09-23T00:56:16+00:00
Clusters / cell types 27 clusters (no cell types asserted)
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