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. 11,742 cells.

Coloured by cell type (13)
UMAP of the re-analysed NVECT_bodywall, coloured by annotated cell type, with a legend naming each type

The legend in the panel names every type and its cell count. With 13 types, colour alone no longer separates them — read the legend, not the hue.

Coloured by Leiden cluster (45)
UMAP of the re-analysed NVECT_bodywall, 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 the clusters the cell-type annotation was built on.

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
Neural 1 3,348 marker genes
Secretory 2,054 marker genes
Gastrodermis 1,760 marker genes
Progenitor 904 marker genes
Epidermis 780 marker genes
Neural 2 723 marker genes
Neural 4 486 marker genes
Secretory - Mucous cells 447 marker genes
Neural 3 351 marker genes
Undetermined 319 marker genes
Developing cnidocytes 300 marker genes
Neural 0 153 marker genes
Muscle 117 marker genes
13 cell types 11,742

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 PRJNA1217498
SRA study SRP560807
GEO series GSE288441
Library type unknown (low confidence)
Libraries integrated 1
Cells before filtering 12,352
Cells after cell filtering 11,742
Doublets removed 0 (0.00%)
Cells after filtering 11,742
Retained 95.1%
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 none (single library)
Cell-type annotation Inherited from the source publication
Cell-type labels from GSE288441_bodywall.cell_to_cts.csv.gz (100% of cells matched)
Pipeline version cnidosite-sc-1.0.0
Processed 2026-09-20T03:34:23+00:00
Clusters / cell types 45 / 13
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